Deep Learning for Cryptocurrency Trading

Cours d'Intelligence Artificielle

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Deep Learning Crypto Arbitrage Trading Platform?

Deep Learning Crypto Arbitrage Trading Platform? submitted by kemoore1 to ethtrader [link] [comments]

Deep Learning Crypto Arbitrage Trading Platform?

Deep Learning Crypto Arbitrage Trading Platform? submitted by ABitcoinAllBot to BitcoinAll [link] [comments]

Learn How Smart Contracts Work - Fishbank: a blockchain game based on Ethereum smart contracts - grow, fight and trade crypto fish in deep blue decentralized ocean /r/BitcoinBeginners

Learn How Smart Contracts Work - Fishbank: a blockchain game based on Ethereum smart contracts - grow, fight and trade crypto fish in deep blue decentralized ocean /BitcoinBeginners submitted by BitcoinAllBot to BitcoinAll [link] [comments]

Learn How Smart Contracts Work - Fishbank: a blockchain game based on Ethereum smart contracts - grow, fight and trade crypto fish in deep blue decentralized ocean

Fishbank.io is starting its alpha end of this month. A perfect opportunity to learn how smart contracts work while playing a game.
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State of the Beta - Q3 2020

Hi everyone,
It’s been a while since we’ve had a State of the Beta, so we’re in for a big one this time. I hope it helps shed some light on what we’ve been doing and where we’re going next.

Reflecting on Q2

Our team has been working incredibly hard across the last quarter in order to make quality of life improvements to not just the game itself, but the wider Gods Unchained experience.
In the last quarter, we saw some major improvements to the new player experience arrive in the form of the Welcome Set, a complementary set of 70 unique cards that allow users to customize their starter decks from the get-go. There’s more to come in this space, the next being new tutorial content (which is in the works internally). Elsewhere, we made some adjustments to the Weekend Ranked Constructed event structure, to shift the focus from a pure grind to rewarding skill, and have continued to observe the data and user feedback from the event to inform iterations since its inception.
Marketplace improvements were high-up on our Q2 list to get out ahead of the expansion, especially in regards to making trinkets and boards tradable alongside cards – all of which is currently done, dusted, and running smoothly. We also announced Immutable X, which is going to greatly increase our functionality and scalability moving forward - a huge priority for us over the year ahead. Not only will this eliminate some of the problematic aspects around gas prices when it comes to fusing, trading and more, but it will also make it much easier to mint assets.
This quarter also saw a major focus on the visuals for GU, with the game boards and lighting for the game going through a major update. Though we’ve had to walk back the VFX update due to Unity 2018 issues, the revamp there will be live again soon along with an update to the card visuals as they switch from 2d to 3d. All of these changes added up help us better showcase the gameplay.
In game development, there is also a class of update where – if done correctly – no one notices there’s been a change. This is embodied by the upcoming replacement of our underlying network code. If all goes well when it’s pushed live with the next update, it’ll slip under the radar because the game will simply perform as expected. Behind the scenes, these types of changes impact the PC and MAC versions of GU for the better, but are also key to the move towards Mobile.
We also revealed the Mythic card for the upcoming expansion and how you can win it, along with laying down the lore for the season that’s about to kick off. It’s quite the epic story, and this is only the beginning!

Where does Trial of the Gods fit in?

Trial of the Gods is the first set in Season 1, which is known as the “Order & Chaos Season.” It won’t be the only one – there will be other sets released as part of this season in the future, adding to the overall story.
Edit Note: I've edited the following section to add clarity to where Trial of the Gods will live in our Formats.
At present we have a single Constructed Format called Standard. This Format currently includes Welcome Set, Core, Genesis, Etherbots, and Promo Cards. When Trial of the Gods goes live it will be added to the Standard Format. Genesis holds a special place in the Standard Format as it is Evergreen and will always remain in the format. Standard is the Format we'll be running the upcoming World Championship in.
In the future Trial of the Gods will rotate out of the Standard Format along with Etherbots and Promo cards. When they rotate out it will also coincide with the rise of the Extended Constructed Format, which will be a Constructed Format where we expect all GU cards to be playable. We expect in the future that when a set joins Standard it will also join Extended. There is the potential for Tournament play in this format in the future, though it is not guaranteed.
Moving forward we may have other Constructed Formats that contain any combination of sets to create unique deckbuilding challenges.
As a required disclaimer: we retain the right to ban cards from a format if there’s an absolute worst-case scenario, which is something we haven’t done and do not intend to do unless there’s no other way around it.
As far as releasing Season 1 is concerned, we’re currently working on our payment platform before we launch the first set. Opening the market to credit and debit card purchases is a crucial part of bringing GU to mainstream audiences, as doing so greatly improves all parts of the game. Things like queue health, matchmaking, community engagement, economy etc. are all greatly improved by a larger playerbase, and we believe that Trial of the Gods is an important step along that path. It isn’t, however, the final obstacle on our path to taking GU mainstream. We know we still need Immutable X and other key features in place before we’ll be able to grow GU and reach mainstream audiences, and that means for Trial of the Gods we’re focusing more on meeting the needs of our existing players while growing the playerbase enough to provide us with data to make decisions by, rather than defining success as selling out the set. With this in mind, some may wonder about the impacts a more scarce pool of Trial of the Gods cards will have on the long term health of the game. We have plans to address this, which will be announced ahead of the season’s launch.
This is the final hurdle we need to conquer before Trial of the Gods is released. It’s a big one, but once we’ve overcome it – it’s go time. Working on this set has been a labor of love across the team and we can’t wait to get it into players’ hands.

The future of GU’s competitive landscape

One of the other questions that we commonly receive is around the World Championship and our plans in that area. This is something that we’ve been actively working on internally, but have had to refactor much of our initial thinking around this in light of global travel bans and other limitations to large-scale physical events. It’s looking likely that this will need to move to an online format, but we’ll expand on this in the future with more of the details ironed out. You’ll still need a Tournament Pass in order to enter. The prize pool is currently sitting around the $570,000 mark, and we’re aiming to have the prizes spread more deeply amongst competitors and not just concentrated on the top spots alone. There’s a lot of work that needs to be done to accomplish this on the scale that we require with up to 20,000 potential entrants, but we can’t wait to share more with you in the future.
One of the requisites that we need for the World Championship is the ‘Direct Challenge’ feature, otherwise known as 1v1. We’ve shared previously that production has commenced in this area, and we’re currently aiming for it to land in players’ hands shortly after the launch of Trial of the Gods. The team can’t wait to see what kinds of events you all come up with!
To this end, we hear many of you in that the current state of matchmaking, especially in ranked events, isn’t ideal. It’s not always easy to get players of the same level together 24/7, but as we continue to develop our systems and expand our playerbase throughout the beta we expect that this will help to alleviate the issue. The tension is always between queue length and queue quality, and at the moment if we want to greatly improve queue quality we’d need to adjust queue times to lengths players simply won’t wait for. This bias can also feel skewed because matchmaking cares about the total length in time of the first person in the queue. If someone with a different rank than you has been waiting for a time for a match, it can mean you match quickly with them. We will run some experiments around changing some matchmaking variables to skew more towards quality after the release of Trial of the Gods.
Another area where we’re making solid progress is on our mobile prototype of Gods Unchained. We’ve recently added some new faces to the Immutable team to help us on that front, and have gotten the ball rolling in terms of development. It likely won’t be ready for a while yet, but we’re excited about making GU more accessible for players on-the-go!

The Proof is in the Priority

This past May I made it through the 20 year mark for my career in gaming. Having worked on online games for almost all of that, and having engaged with the community on games that have lived for over a decade, I know a few truths. One of them is that the most engaged members of a community will eventually transition to the final stage of their love of the product, and that is player vs. developer. This is one of the hardest parts of being a developer, seeing someone who you’ve listened to and interacted with begin to question all the choices you have made and the quality of what you have delivered. Sometimes this lasts days, sometimes weeks, and sometimes even years.
Immutable and Gods Unchained are still young, but for many who have been with us since long before I joined about a year ago, promises made remain unkept and this has led to justified frustration. Be it with issues around Genesis promises, Etherbots Redemption, CryptoKitty Trinkets, or any feature that they feel should be complete by now. The past year for me has gone by in a flurry of changes to the game, but for those still waiting on certain features I understand it can feel like it has been an eternity. I thank you for your patience, and for those who are at their wits end I understand.
A game development project isn’t so simple as just shipping one feature or element one after the other in an endless feature factory supply chain. At any moment of time, a complex tapestry of projects is in flight, revisions, and maintenance. Depending on the capacity of the team, some of lower priority move far faster than those of higher priority. Some features have dependency chains that block them all-together no matter how important they are, and though the team has grown there are still limits to how fast quality features can be delivered. Even features that seemed complete like fusing during Genesis were missing key blockchain elements which have delayed their final delivery in practice.
I make no excuses for where we’re at in delivering on our past commitments, but know that they are important to both me and the team and that the priority of everything we’re working on delivering is tailored from my experience with game development to deliver for all of our players and supporters. When you don’t agree with it please continue to provide your thoughts, they are important in reminding me and others of the cost of the choices we make and they are appreciated.

In Conclusion

This past year has been full of deep learning about what it will take to blend the world of blockchain with that of gaming. Some parts have worked, and others have shown that we need to take a completely different approach. At Immutable we pride ourselves in being scientists, and we’re looking to apply what we’ve learned through trial and error over the quarter. Our aim for the months ahead is to set ourselves up with everything we need in order to scale the game, playerbase, and the Play to Earn experience. As a team, we’re forging ahead over a lot of ground that hasn’t been trodden before, and we will continue experimenting and learning as we go. The more people we can introduce to the paradigm-shifting importance of true ownership that blockchain brings, the better. That’s our key mission here at Immutable, and we thank you all for coming along for the ride.
Sincerely,
ClayGame Director for Gods Unchained
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NVidia – Know What You Own

How many people really understand what they’re buying, especially when it comes to highly specialized hardware companies? Most NVidia investors seem to be relying on a vague idea of how the company should thrive “in the future”, as their GPUs are ostensibly used for Artificial Intelligence, Cloud, holograms, etc. Having been shocked by how this company is represented in the media, I decided to lay out how this business works, doing my part to fight for reality. With what’s been going on in markets, I don’t like my chances but here goes:
Let’s start with…
How does NVDA make money?
NVDA is in the business of semiconductor design. As a simplified image in your head, you can imagine this as designing very detailed and elaborate posters. Their engineers create circuit patterns for printing onto semiconductor wafers. NVDA then pays a semiconductor foundry (the printer – generally TSMC) to create chips with those patterns on them.
Simply put, NVDA’s profits represent the difference between the price at which they can sell those chips, less the cost of printing, and less the cost of paying their engineers to design them.
Notably, after the foundry prints the chips, NVDA also has to pay (I say pay, but really it is more like “sell at a discount to”) their “add-in board” (AIB) partners to stick the chips onto printed circuit boards (what you might imagine as green things with a bunch of capacitors on them). That leads to the final form in which buyers experience the GPU.
What is a GPU?
NVDA designs chips called GPUs (Graphical Processing Units). Initially, GPUs were used for the rapid processing and creation of images, but their use cases have expanded over time. You may be familiar with the CPU (Central Processing Unit). CPUs sit at the core of a computer system, doing most of the calculation, taking orders from the operating system (e.g. Windows, Linux), etc. AMD and Intel make CPUs. GPUs assist the CPU with certain tasks. You can think of the CPU as having a few giant very powerful engines. The GPU has a lot of small much less powerful engines. Sometimes you have to do a lot of really simple tasks that don’t require powerful engines to complete. Here, the act of engaging the powerful engines is a waste of time, as you end up spending most of your time revving them up and revving them down. In that scenario, it helps the CPU to hand that task over to the GPU in order to “accelerate” the completion of the task. The GPU only revs up a small engine for each task, and is able to rev up all the small engines simultaneously to knock out a large number of these simple tasks at the same time. Remember the GPU has lots of engines. The GPU also has an edge in interfacing a lot with memory but let’s not get too technical.
Who uses NVDA’s GPUs?
There are two main broad end markets for NVDA’s GPUs – Gaming and Professional. Let’s dig into each one:
The Gaming Market:
A Bit of Ancient History (Skip if impatient)
GPUs were first heavily used for gaming in arcades. They then made their way to consoles, and finally PCs. NVDA started out in the PC phase of GPU gaming usage. They weren’t the first company in the space, but they made several good moves that ultimately led to a very strong market position. Firstly, they focused on selling into OEMs – guys like the equivalent of today’s DELL/HP/Lenovo – , which allowed a small company to get access to a big market without having to create a lot of relationships. Secondly, they focused on the design aspect of the GPU, and relied on their Asian supply chain to print the chip, to package the chip and to install in on a printed circuit board – the Asian supply chain ended up being the best in semis. But the insight that really let NVDA dominate was noticing that some GPU manufacturers were focusing on keeping hardware-accelerated Transform and Lighting as a Professional GPU feature. As a start-up, with no professional GPU business to disrupt, NVidia decided their best ticket into the big leagues was blowing up the market by including this professional grade feature into their gaming product. It worked – and this was a real masterstroke – the visual and performance improvements were extraordinary. 3DFX, the initial leader in PC gaming GPUs, was vanquished, and importantly it happened when funding markets shut down with the tech bubble bursting and after 3DFX made some large ill-advised acquisitions. Consequently 3DFX, went from hero to zero, and NVDA bought them for a pittance out of bankruptcy, acquiring the best IP portfolio in the industry.
Some more Modern History
This is what NVDA’s pure gaming card revenue looks like over time – NVDA only really broke these out in 2005 (note by pure, this means ex-Tegra revenues):
📷 https://hyperinflation2020.tumblr.com/private/618394577731223552/tumblr_Ikb8g9Cu9sxh2ERno
So what is the history here? Well, back in the late 90s when GPUs were first invented, they were required to play any 3D game. As discussed in the early history above, NVDA landed a hit product to start with early and got a strong burst of growth: revenues of 160M in 1998 went to 1900M in 2002. But then NVDA ran into strong competition from ATI (later purchased and currently owned by AMD). While NVDA’s sales struggled to stay flat from 2002 to 2004, ATI’s doubled from 1Bn to 2Bn. NVDA’s next major win came in 2006, with the 8000 series. ATI was late with a competing product, and NVDA’s sales skyrocketed – as can be seen in the graph above. With ATI being acquired by AMD they were unfocused for some time, and NVDA was able to keep their lead for an extended period. Sales slowed in 2008/2009 but that was due to the GFC – people don’t buy expensive GPU hardware in recessions.
And then we got to 2010 and the tide changed. Growth in desktop PCs ended. Here is a chart from Statista:
📷https://hyperinflation2020.tumblr.com/private/618394674172919808/tumblr_OgCnNwTyqhMhAE9r9
This resulted in two negative secular trends for Nvidia. Firstly, with the decline in popularity of desktop PCs, growth in gaming GPUs faded as well (below is a chart from Jon Peddie). Note that NVDA sells discrete GPUs, aka DT (Desktop) Discrete. Integrated GPUs are mainly made by Intel (these sit on the motherboard or with the CPU).
📷 https://hyperinflation2020.tumblr.com/private/618394688079200256/tumblr_rTtKwOlHPIVUj8e7h
You can see from the chart above that discrete desktop GPU sales are fading faster than integrated GPU sales. This is the other secular trend hurting NVDA’s gaming business. Integrated GPUs are getting better and better, taking over a wider range of tasks that were previously the domain of the discrete GPU. Surprisingly, the most popular eSports game of recent times – Fortnite – only requires Intel HD 4000 graphics – an Integrated GPU from 2012!
So at this point you might go back to NVDA’s gaming sales, and ask the question: What happened in 2015? How is NVDA overcoming these secular trends?
The answer consists of a few parts.Firstly, AMD dropped the ball in 2015. As you can see in this chart, sourced from 3DCenter, AMD market share was halved in 2015, due to a particularly poor product line-up:
📷 https://hyperinflation2020.tumblr.com/private/618394753459994624/tumblr_J7vRw9y0QxMlfm6Xd
Following this, NVDA came out with Pascal in 2016 – a very powerful offering in the mid to high end part of the GPU market. At the same time, AMD was focusing on rebuilding and had no compelling mid or high end offerings. AMD mainly focused on maintaining scale in the very low end. Following that came 2017 and 2018: AMD’s offering was still very poor at the time, but cryptomining drove demand for GPUs to new levels, and AMD’s GPUs were more compelling from a price-performance standpoint for crypto mining initially, perversely leading to AMD gaining share. NVDA quickly remedied that by improving their drivers to better mine crypto, regaining their relative positioning, and profiting in a big way from the crypto boom. Supply that was calibrated to meet gaming demand collided with cryptomining demand and Average Selling Prices of GPUs shot through the roof. Cryptominers bought top of the line GPUs aggressively.
A good way to see changes in crypto demand for GPUs is the mining profitability of Ethereum:
📷 https://hyperinflation2020.tumblr.com/private/618394769378443264/tumblr_cmBtR9gm8T2NI9jmQ
This leads us to where we are today. 2019 saw gaming revenues drop for NVDA. Where are they likely to head?
The secular trends of falling desktop sales along with falling discrete GPU sales have reasserted themselves, as per the Jon Peddie research above. Cryptomining profitability has collapsed.
AMD has come out with a new architecture, NAVI, and the 5700XT – the first Iteration, competes effectively with NVDA in the mid-high end space on a price/performance basis. This is the first real competition from AMD since 2014.
NVDA can see all these trends, and they tried to respond. Firstly, with volumes clearly declining, and likely with a glut of second-hand GPUs that can make their way to gamers over time from the crypto space, NVDA decided to pursue a price over volume strategy. They released their most expensive set of GPUs by far in the latest Turing series. They added a new feature, Ray Tracing, by leveraging the Tensor Cores they had created for Professional uses, hoping to use that as justification for higher prices (more on this in the section on Professional GPUs). Unfortunately for NVDA, gamers have responded quite poorly to Ray Tracing – it caused performance issues, had poor support, poor adoption, and the visual improvements in most cases are not particularly noticeable or relevant.
The last recession led to gaming revenues falling 30%, despite NVDA being in a very strong position at the time vis-à-vis AMD – this time around their position is quickly slipping and it appears that the recession is going to be bigger. Additionally, the shift away from discrete GPUs in gaming continues.
To make matters worse for NVDA, AMD won the slots in both the New Xbox and the New PlayStation, coming out later this year. The performance of just the AMD GPU in those consoles looks to be competitive with NVidia products that currently retail for more than the entire console is likely to cost. Consider that usually you have to pair that NVidia GPU with a bunch of other expensive hardware. The pricing and margin impact of this console cycle on NVDA is likely to be very substantially negative.
It would be prudent to assume a greater than 30% fall in gaming revenues from the very elevated 2019 levels, with likely secular decline to follow.
The Professional Market:
A Bit of Ancient History (again, skip if impatient)
As it turns out, graphical accelerators were first used in the Professional market, long before they were employed for Gaming purposes. The big leader in the space was a company called Silicon Graphics, who sold workstations with custom silicon optimised for graphical processing. Their sales were only $25Mn in 1985, but by 1997 they were doing 3.6Bn in revenue – truly exponential growth. Unfortunately for them, from that point on, discrete GPUs took over, and their highly engineered, customised workstations looked exorbitantly expensive in comparison. Sales sank to 500mn by 2006 and, with no profits in sight, they ended up filing for bankruptcy in 2009. Competition is harsh in the semiconductor industry.
Initially, the Professional market centred on visualisation and design, but it has changed over time. There were a lot of players and lot of nuance, but I am going to focus on more recent times, as they are more relevant to NVidia.
Some More Modern History
NVDA’s Professional business started after its gaming business, but we don’t have revenue disclosures that show exactly when it became relevant. This is what we do have – going back to 2005:
📷 https://hyperinflation2020.tumblr.com/private/618394785029472256/tumblr_fEcYAzdstyh6tqIsI
In the beginning, Professional revenues were focused on the 3D visualisation end of the spectrum, with initial sales going into workstations that were edging out the customised builds made by Silicon Graphics. Fairly quickly, however, GPUs added more and more functionality and started to turn into general parallel data processors rather than being solely optimised towards graphical processing.
As this change took place, people in scientific computing noticed, and started using GPUs to accelerate scientific workloads that involve very parallel computation, such as matrix manipulation. This started at the workstation level, but by 2007 NVDA decided to make a new line-up of Tesla series cards specifically suited to scientific computing. The professional segment now have several points of focus:
  1. GPUs used in workstations for things such as CAD graphical processing (Quadro Line)
  2. GPUs used in workstations for computational workloads such as running engineering simulations (Quadro Line)
  3. GPUs used in workstations for machine learning applications (Quadro line.. but can use gaming cards as well for this)
  4. GPUs used by enterprise customers for high performance computing (such as modelling oil wells) (Tesla Line)
  5. GPUs used by enterprise customers for machine learning projects (Tesla Line)
  6. GPUs used by hyperscalers (mostly for machine learning projects) (Tesla Line)
In more recent times, given the expansion of the Tesla line, NVDA has broken up reporting into Professional Visualisation (Quadro Line) and Datacenter (Tesla Line). Here are the revenue splits since that reporting started:
📷 https://hyperinflation2020.tumblr.com/private/618394798232158208/tumblr_3AdufrCWUFwLgyQw2
📷 https://hyperinflation2020.tumblr.com/private/618394810632601600/tumblr_2jmajktuc0T78Juw7
It is worth stopping here and thinking about the huge increase in sales delivered by the Tesla line. The reason for this huge boom is the sudden increase in interest in numerical techniques for machine learning. Let’s go on a brief detour here to understand what machine learning is, because a lot of people want to hype it but not many want to tell you what it actually is. I have the misfortune of being very familiar with the industry, which prevented me from buying into the hype. Oops – sometimes it really sucks being educated.
What is Machine Learning?
At a very high level, machine learning is all about trying to get some sort of insight out of data. Most of the core techniques used in machine learning were developed a long time ago, in the 1950s and 1960s. The most common machine learning technique, which most people have heard of and may be vaguely familiar with, is called regression analysis. Regression analysis involves fitting a line through a bunch of datapoints. The most common type of regression analysis is called “Ordinary Least Squares” OLS regression, and that type of regression has a “closed form” solution, which means that there is a very simple calculation you can do to fit an OLS regression line to data.
As it happens, fitting a line through points is not only easy to do, it also tends to be the main machine learning technique that people want to use, because it is very intuitive. You can make good sense of what the data is telling you and can understand the machine learning model you are using. Obviously, regression analysis doesn’t require a GPU!
However, there is another consideration in machine learning: if you want to use a regression model, you still need a human to select the data that you want to fit the line through. Also, sometimes the relationship doesn’t look like a line, but rather it might look like a curve. In this case, you need a human to “transform” the data before you fit a line through it in order to make the relationship linear.
So people had another idea here: what if instead of getting a person to select the right data to analyse, and the right model to apply, you could just get a computer to do that? Of course the problem with that is that computers are really stupid. They have no preconceived notion of what data to use or what relationship would make sense, so what they do is TRY EVERYTHING! And everything involves trying a hell of a lot of stuff. And trying a hell of a lot of stuff, most of which is useless garbage, involves a huge amount of computation. People tried this for a while through to the 1980s, decided it was useless, and dropped it… until recently.
What changed? Well we have more data now, and we have a lot more computing power, so we figured lets have another go at it. As it happens, the premier technique for trying a hell of a lot of stuff (99.999% of which is garbage you throw away) is called “Deep Learning”. Deep learning is SUPER computationally intensive, and that computation happens to involve a lot of matrix multiplication. And guess what just happens to have been doing a lot of matrix multiplication? GPUs!
Here is a chart that, for obvious reasons, lines up extremely well with the boom in Tesla GPU sales:
📷 https://hyperinflation2020.tumblr.com/private/618394825774989312/tumblr_IZ3ayFDB0CsGdYVHW
Now we need to realise a few things here. Deep Learning is not some magic silver bullet. There are specific applications where it has proven very useful – primarily areas that have a very large number of very weak relationships between bits of data that sum up into strong relationships. An example of ones of those is Google Translate. On the other hand, in most analytical tasks, it is most useful to have an intuitive understanding of the data and to fit a simple and sensible model to it that is explainable. Deep learning models are not explainable in an intuitive manner. This is not only because they are complicated, but also because their scattershot technique of trying everything leaves a huge amount of garbage inside the model that cancels itself out when calculating the answer, but it is hard to see how it cancels itself out when stepping through it.
Given the quantum of hype on Deep learning and the space in general, many companies are using “Deep Learning”, “Machine Learning” and “AI” as marketing. Not many companies are actually generating significant amounts of tangible value from Deep Learning.
Back to the Competitive Picture
For the Tesla Segment
So NVDA happened to be in the right place at the right time to benefit from the Deep Learning hype. They happened to have a product ready to go and were able to charge a pretty penny for their product. But what happens as we proceed from here?
Firstly, it looks like the hype from Deep Learning has crested, which is not great from a future demand perspective. Not only that, but we really went from people having no GPUs, to people having GPUs. The next phase is people upgrading their old GPUs. It is much harder to sell an upgrade than to make the first sale.
Not only that, but GPUs are not the ideal manifestation of silicon for Deep Learning. NVDA themselves effectively admitted that with their latest iteration in the Datacentre, called Ampere. High Performance Computing, which was the initial use case for Tesla GPUs, was historically all about double precision floating point calculations (FP64). High precision calculations are required for simulations in aerospace/oil & gas/automotive.
NVDA basically sacrificed HPC and shifted further towards Deep Learning with Ampere, announced last Thursday. The FP64 performance of the A100 (the latest Ampere chip) increased a fairly pedestrian 24% from the V100, increasing from 7.8 to 9.7 TF. Not a surprise that NVDA lost El Capitan to AMD, given this shift away from a focus on HPC. Instead, NVDA jacked up their Tensor Cores (i.e. not the GPU cores) and focused very heavily on FP16 computation (a lot less precise than FP64). As it turns out, FP16 is precise enough for Deep Learning, and NVDA recognises that. The future industry standard is likely to be BFloat 16 – the format pioneered by Google, who lead in Deep Learning. Ampere now does 312 TF of BF16, which compares to the 420 TF of Google’s TPU V3 – Google’s Machine Learning specific processor. Not quite up to the 2018 board from Google, but getting better – if they cut out all of the Cuda cores and GPU functionality maybe they could get up to Google’s spec.
And indeed this is the problem for NVDA: when you make a GPU it has a large number of different use cases, and you provide a single product that meets all of these different use cases. That is a very hard thing to do, and explains why it has been difficult for competitors to muscle into the GPU space. On the other hand, when you are making a device that does one thing, such as deep learning, it is a much simpler thing to do. Google managed to do it with no GPU experience and is still ahead of NVDA. It is likely that Intel will be able to enter this space successfully, as they have widely signalled with the Xe.
There is of course the other large negative driver for Deep Learning, and that is the recession we are now in. Demand for GPU instances on Amazon has collapsed across the board, as evidenced by the fall in pricing. The below graph shows one example: this data is for renting out a single Tesla V100 GPU on AWS, which isthe typical thing to do in an early exploratory phase for a Deep Learning model:
📷 https://hyperinflation2020.tumblr.com/private/618396177958944768/tumblr_Q86inWdeCwgeakUvh
With Deep Learning not delivering near-term tangible results, it is the first thing being cut. On their most recent conference call, IBM noted weakness in their cognitive division (AI), and noted weaker sales of their power servers, which is the line that houses Enterprise GPU servers at IBM. Facebook cancelled their AI residencies for this year, and Google pushed theirs out. Even if NVDA can put in a good quarter due to their new product rollout (Ampere), the future is rapidly becoming a very stormy place.
For the Quadro segment
The Quadro segment has been a cash cow for a long time, generating dependable sales and solid margins. AMD just decided to rock the boat a bit. Sensing NVDA’s focus on Deep Learning, AMD seems to be focusing on HPC – the Radeon VII announced recently with a price point of $1899 takes aim at NVDAs most expensive Quadro, the GV100, priced at $8999. It does 6.5 TFLOPS of FP64 Double precision, whereas the GV100 does 7.4 – talk about shaking up a quiet segment.
Pulling things together
Let’s go back to what NVidia fundamentally does – paying their engineers to design chips, getting TSMC to print those chips, and getting board partners in Taiwan to turn them into the final product.
We have seen how a confluence of several pieces of extremely good fortune lined up to increase NVidia’s sales and profits tremendously: first on the Gaming side, weak competition from AMD until 2014, coupled with a great product in form of Pascal in 2016, followed by a huge crypto driven boom in 2017 and 2018, and on the Professional side, a sudden and unexpected increase in interest in Deep Learning driving Tesla demand from 2017-2019 sky high.
It is worth noting what these transient factors have done to margins. When unexpected good things happen to a chip company, sales go up a lot, but there are no costs associated with those sales. Strong demand means that you can sell each chip for a higher price, but no additional design work is required, and you still pay the printer, TSMC, the same amount of money. Consequently NVDA’s margins have gone up substantially: well above their 11.9% long term average to hit a peak of 33.2%, and more recently 26.5%:
📷 https://hyperinflation2020.tumblr.com/private/618396192166100992/tumblr_RiWaD0RLscq4midoP
The question is, what would be a sensible margin going forward? Obviously 33% operating margin would attract a wall of competition and get competed away, which is why they can only be temporary. However, NVidia has shifted to having a greater proportion of its sales coming from non-OEM, and has a greater proportion of its sales coming from Professional rather than gaming. As such, maybe one can be generous and say NVDA can earn an 18% average operating margin over the next cycle. We can sense check these margins, using Intel. Intel has a long term average EBIT margin of about 25%. Intel happens to actually print the chips as well, so they collect a bigger fraction of the final product that they sell. NVDA, since it only does the design aspect, can’t earn a higher EBIT margin than Intel on average over the long term.
Tesla sales have likely gone too far and will moderate from here – perhaps down to a still more than respectable $2bn per year. Gaming resumes the long-term slide in discrete GPUs, which will likely be replaced by integrated GPUs to a greater and greater extent over time. But let’s be generous and say it maintains $3.5 Bn Per year for the add in board, and let’s assume we keep getting $750mn odd of Nintendo Switch revenues(despite that product being past peak of cycle, with Nintendo themselves forecasting a sales decline). Let’s assume AMD struggles to make progress in Quadro, despite undercutting NVDA on price by 75%, with continued revenues at $1200. Add on the other 1.2Bn of Automotive, OEM and IP (I am not even counting the fact that car sales have collapsed and Automotive is likely to be down big), and we would end up with revenues of $8.65 Bn, at an average operating margin of 20% through the cycle that would have $1.75Bn of operating earnings power, and if I say that the recent Mellanox acquisition manages to earn enough to pay for all the interest on NVDAs debt, and I assume a tax rate of 15% we would have around $1.5Bn in Net income.
This company currently has a market capitalisation of $209 Bn. It blows my mind that it trades on 139x what I consider to be fairly generous earnings – earnings that NVidia never even got close to seeing before the confluence of good luck hit them. But what really stuns me is the fact that investors are actually willing to extrapolate this chain of unlikely and positive events into the future.
Shockingly, Intel has a market cap of 245Bn, only 40Bn more than NVDA, but Intel’s sales and profits are 7x higher. And while Intel is facing competition from AMD, it is much more likely to hold onto those sales and profits than NVDA is. These are absolutely stunning valuation disparities.
If I didn’t see NVDA’s price, and I started from first principles and tried to calculate a prudent price for the company I would have estimated a$1.5Bn normalised profit, maybe on a 20x multiple giving them the benefit of the doubt despite heading into a huge recession, and considering the fact that there is not much debt and the company is very well run. That would give you a market cap of $30Bn, and a share price of $49. And it is currently $339. Wow. Obviously I’m short here!
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21 [M4F] - US/Online - I think it's finally time to find that special someone.


Hey everyone! I'm a hardcore nerd, I play video games way too much- but surprisingly am able to take care of myself and be self-reliant. This post has a bunch of shit that probably isn't too important, but I put a lot of effort into this stuff- because fuck it. The very bottom of this post will have a 'Summary:' which will give a quick wrap-up on everything.
Disclaimer: A lot of this post is going to be miscellaneous details about myself and my ideals- things I find important will be highlighted/bold for ease of reading. Thank you for taking the time to read this and have a wonderful day/night.

Introduction:

For starters, I'm an introvert, have been for a very long time. I leave the house for necessities, and that's about it. I don't plan to remain this way, and I have ventured past my comfort-line, but it's taken someone else to give me that ambition. If you're an extrovert, and I enjoy spending time with you, I'd be very convincible.
I'm quite tall, above 6ft. Chubby, but not fat. In the process of losing weight after plateauing. I was once an almost 400lb man, now sitting semi-comfortably at 220lbs. And I'm extremely grateful for not having any signs of loose skin. Appearance and visual interest are important things, so your picture gets mine at immediate request.
I'm sarcastic, open-minded; and love deep conversation. Despite that, I love memes and cringe-humor. I'm fairly unfiltered in speaking, I swear like a sailor and find humor in darkness.
I previously was a professional eSports player for World of Warcraft / Overwatch, that life is behind me now; I'm still a competitive-minded person, but I'm currently not interested in that scene.

Hobbies (Gaming):

For an introvert, I'd like to think I have more hobbies than typical. As assumed, I'm a gamer- don't worry, I wash myself regularly. I'm the type of person to enjoy the game for the social interaction rather than the game itself, but here are some of my all-time favorite games:(Note, I'll play just about anything a partner is interested, I'm not picky whatsoever.)

Hobbies (Not Gaming):


Believe it or not, I sometimes do more than just play video games. Sometimes.....
Here's a little peak at my other interests.






What I'm looking for:

To be extremely honest, I want a new *person* in my life. Someone who wants to hang out regularly, talk all night, play games together and share experiences with. Disclaimer: A lot of people are anxious and embarrassed to admit that they're clingy. I honestly appreciate people who 'cling' to me- it's a reassurance and something that'll keep me crawling out of bed in the morning (or night, my sleep schedule is interesting.) Just don't DOX me and deliver pizzas to my house at 4am; been there, done that.

I have no immediate dealbreakers or preferences. Age isn't an issue whatsoever as long as you're 18+. Location isn't \that big* of an issue, but can be at times. Regardless, if I enjoy spending time with you, I can make it work.*

"NSFW":

I'll keep this part short and sweet since it's kinda cringe. I'm a Switch and a *freak.*


'The Summary:' 21/M Looking for a UwU GF to play games and talk with on Discord.

Thank you for taking the time to read this. Have a wonderful day/night.
Peace.
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With Bitcoin Suddenly Surging, Canaan Stock Is Also Going Up Today

With Bitcoin Suddenly Surging, Canaan Stock Is Also Going Up Today



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perior over different cryptocurrencies?
LATESTBITCOINETHEREUMALTCOINSTECHNOLOGYADOPTIONBLOCKCHAINEVENTSCONTACT
PRESS RELEASEWhy is Bitcoin superior over different cryptocurrencies?Akshay KSPublished a pair of weeks agoon August 12, 2020By Akshay KS
Source: Pixabay
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Bitcoin is that the one method of creating transactions daily as alternative currencies. But it's its options and uniqueness that make it superior. Bitcoin and different currencies are based mostly on the cryptographic algorithms or mathematics that are encrypted, with that the user becomes the owner of the currency. Bitcoin currencies are easily accessible at Bitcoin ATM and online exchange
The main feature of the bitcoin, which makes it superior is that it is the safest option for digital transactions. These will be used for on-line searching and transfer of money too.
There are many alternative blessings to using bitcoin. A number of them are mentioned below
Decentralized and digital
Bitcoin offers the freedom of exchanging the price without representatives that proves helpful in controlling the lower fees and high funds. Bitcoin is that the faster method of transaction than others. It is secure as it is free from theft and frauds and is constant. The main advantage is that bitcoin has its homeowners whereas the bank controls the money.
Makes online looking
Normally, bitcoin will be used for on-line shopping too. Bitcoin is the opposite face of e-wallet, that is created by blockchain technology that is used to store money and will easily pay everywhere digitally. For this reason, it also makes your searching easy by which you'll be able to look from your home solely

Bitcoin is accepted globally at each corner of the planet, which makes it less volatile than local currencies or cash. This feature makes it superior because it enables us to form transactions on-line and across the boundaries
Bitcoin unable the means of tracking cash

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Bitcoin is created by blockchain technology. Blockchain is the sole technology which will either make it or break it. There are many computers which are used to keep up a permanent record of each bitcoin transactions with the help of cryptographic technique. In this approach, it becomes a lot of valuable together with the tracking of the payment. At the same time, there's no method of tracking the cash

While not any transformation method, it will be used over the entire world. It provides the simplest platform for the investment as it is free from the restrictions of governments or banks. It provides an open market and combines the simplest of gold and money.

Bitcoin provides the power to access the balance of the users with a password which is named a personal key. It additionally permits the exchange of values through the web without any middle person. Thus, bitcoin becomes safer, stuffed with privacy, and open to everyone
Unlike cash, it is not possible to form the duplicate quite bitcoin that makes it more efficient. It's protected with the technology of blockchain. Even if anyone tries to form a replica of bitcoin to use it, then the system will automatically reject it as the system recognize it as unknown

Bitcoin Freedom failed to allow two persons to transact on the one price. Once the bitcoin is transferred, its possession is also transferred. So this is the simple approach of maintaining records for any tax functions. It conjointly makes it a easy and healthier metho

Bitcoin is the foremost reliable manner of online transactions. Many questions arise in folks’s minds that are solved on websites like bitcoin revolution. One in all them was the above-mentioned question. Bitcoin provides many facilities, and it comes with more and a lot of blessings which makes it distinctive and special over different cryptocurrencies. It can be preferred as the simplest digital platform for transac


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Disclaimer: AMBCrypto US and UK Market's content is informational in nature and is not meant to be investment advice. Buying, trading or selling crypto-currencies ought to be considered a high-risk investment and every reader is advised to do their due diligence before making any decisions.
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Don't blindly follow a narrative, its bad for you and its bad for crypto in general

I mostly lurk around here but I see a pattern repeating over and over again here and in multiple communities so I have to post. I'm just posting this here because I appreciate the fact that this sub is a place of free speech and maybe something productive can come out from this post, while bitcoin is just fucking censorship, memes and moon/lambo posts. If you don't agree, write in the comments why, instead of downvoting. You don't have to upvote either, but when you downvote you are killing the opportunity to have discussion. If you downvote or comment that I'm wrong without providing any counterpoints you are no better than the BTC maxis you despise.
In various communities I see a narrative being used to bring people in and making them follow something without thinking for themselves. In crypto I see this mostly in BTC vs BCH tribalistic arguments:
- BTC community: "Everything that is not BTC is shitcoin." or more recently as stated by adam on twitter, "Everything that is not BTC is a ponzi scheme, even ETH.", "what is ETH supply?", and even that they are doing this for "altruistic" reasons, to "protect" the newcomers. Very convenient for them that they are protecting the newcomers by having them buy their bags
- BCH community: "BTC maxis are dumb", "just increase block size and you will have truly p2p electronic cash", "It is just that simple, there are no trade offs", "if you don't agree with me you are a BTC maxi", "BCH is satoshi's vision for p2p electronic cash"
It is not exclusive to crypto but also politics, and you see this over and over again on twitter and on reddit.
My point is, that narratives are created so people don't have to think, they just choose a narrative that is easy to follow and makes sense for them, and stick with it. And people keep repeating these narratives to bring other people in, maybe by ignorance, because they truly believe it without questioning, or maybe by self interest, because they want to shill you their bags.
Because this is BCH community, and because bitcoin is censored, so I can't post there about the problems in the BTC narrative (some of which are IMO correctly identified by BCH community), I will stick with the narrative I see in the BCH community.
The culprit of this post was firstly this post by user u/scotty321 "The BTC Paradox: “A 1 MB blocksize enables poor people to run their own node!” “Okay, then what?” “Poor people won’t be able to use the network!”". You will see many posts of this kind being made by u/Egon_1 also. Then you have also this comment in that thread by u/fuck_____________1 saying that people that want to run their own nodes are retarded and that there is no reason to want to do that. "Just trust block explorer websites". And the post and comment were highly upvoted. Really? You really think that there is no problem in having just a few nodes on the network? And that the only thing that secures the network are miners?
As stated by user u/co1nsurf3r in that thread:
While I don't think that everybody needs to run a node, a full node does publish blocks it considers valid to other nodes. This does not amount to much if you only consider a single node in the network, but many "honest" full nodes in the network will reduce the probability of a valid block being withheld from the network by a collusion of "hostile" node operators.
But surely this will not get attention here, and will be downvoted by those people that promote the narrative that there is no trade off in increasing the blocksize and the people that don't see it are retarded or are btc maxis.
The only narrative I stick to and have been for many years now is that cryptocurrency takes power from the government and gives power to the individual, so you are not restricted to your economy as you can participate in the global economy. There is also the narrative of banking the bankless, which I hope will come true, but it is not a use case we are seeing right now.
Some people would argue that removing power from gov's is a bad thing, but you can't deny the fact that gov's can't control crypto (at least we would want them not to).
But, if you really want the individuals to remain in control of their money and transact with anyone in the world, the network needs to be very resistant to any kind of attacks. How can you have p2p electronic cash if your network just has a handful couple of nodes and the chinese gov can locate them and just block communication to them? I'm not saying that this is BCH case, I'm just refuting the fact that there is no value in running your own node. If you are relying on block explorers, the gov can just block the communication to the block explorer websites. Then what? Who will you trust to get chain information? The nodes needs to be decentralized so if you take one node down, many more can appear so it is hard to censor and you don't have few points of failure.
Right now BTC is focusing on that use case of being difficult to censor. But with that comes the problem that is very expensive to transact on the network, which breaks the purpose of anyone being able to participate. Obviously I do think that is also a major problem, and lightning network is awful right now and probably still years away of being usable, if it ever will. The best solution is up for debate, but thinking that you just have to increase the blocksize and there is no trade off is just naive or misleading. BCH is doing a good thing in trying to come with a solution that is inclusive and promotes cheap and fast transactions, but also don't forget centralization is a major concern and nothing to just shrug off.
Saying that "a 1 MB blocksize enables poor people to run their own" and that because of that "Poor people won’t be able to use the network" is a misrepresentation designed to promote a narrative. Because 1MB is not to allow "poor" people to run their node, it is to facilitate as many people to run a node to promote decentralization and avoid censorship.
Also an elephant in the room that you will not see being discussed in either BTC or BCH communities is that mining pools are heavily centralized. And I'm not talking about miners being mostly in china, but also that big pools control a lot of hashing power both in BTC and BCH, and that is terrible for the purpose of crypto.
Other projects are trying to solve that. Will they be successful? I don't know, I hope so, because I don't buy into any narrative. There are many challenges and I want to see crypto succeed as a whole. As always guys, DYOR and always question if you are not blindly following a narrative. I'm sure I will be called BTC maxi but maybe some people will find value in this. Don't trust guys that are always posting silly "gocha's" against the other "tribe".
EDIT: User u/ShadowOfHarbringer has pointed me to some threads that this has been discussed in the past and I will just put my take on them here for visibility, as I will be using this thread as a reference in future discussions I engage:
When there was only 2 nodes in the network, adding a third node increased redundancy and resiliency of the network as a whole in a significant way. When there is thousands of nodes in the network, adding yet another node only marginally increase the redundancy and resiliency of the network. So the question then becomes a matter of personal judgement of how much that added redundancy and resiliency is worth. For the absolutist, it is absolutely worth it and everyone on this planet should do their part.
What is the magical number of nodes that makes it counterproductive to add new nodes? Did he do any math? Does BCH achieve this holy grail safe number of nodes? Guess what, nobody knows at what number of nodes is starts to be marginally irrelevant to add new nodes. Even BTC today could still not have enough nodes to be safe. If you can't know for sure that you are safe, it is better to try to be safer than sorry. Thousands of nodes is still not enough, as I said, it is much cheaper to run a full node as it is to mine. If it costs millions in hash power to do a 51% attack on the block generation it means nothing if it costs less than $10k to run more nodes than there are in total in the network and cause havoc and slowing people from using the network. Or using bot farms to DDoS the 1000s of nodes in the network. Not all attacks are monetarily motivated. When you have governments with billions of dollars at their disposal and something that could threat their power they could do anything they could to stop people from using it, and the cheapest it is to do so the better
You should run a full node if you're a big business with e.g. >$100k/month in volume, or if you run a service that requires high fraud resistance and validation certainty for payments sent your way (e.g. an exchange). For most other users of Bitcoin, there's no good reason to run a full node unless you reel like it.
Shouldn't individuals benefit from fraud resistance too? Why just businesses?
Personally, I think it's a good idea to make sure that people can easily run a full node because they feel like it, and that it's desirable to keep full node resource requirements reasonable for an enthusiast/hobbyist whenever possible. This might seem to be at odds with the concept of making a worldwide digital cash system in which all transactions are validated by everybody, but after having done the math and some of the code myself, I believe that we should be able to have our cake and eat it too.
This is recurrent argument, but also no math provided, "just trust me I did the math"
The biggest reason individuals may want to run their own node is to increase their privacy. SPV wallets rely on others (nodes or ElectronX servers) who may learn their addresses.
It is a reason and valid one but not the biggest reason
If you do it for fun and experimental it good. If you do it for extra privacy it's ok. If you do it to help the network don't. You are just slowing down miners and exchanges.
Yes it will slow down the network, but that shows how people just don't get the the trade off they are doing
I will just copy/paste what Satoshi Nakamoto said in his own words. "The current system where every user is a network node is not the intended configuration for large scale. That would be like every Usenet user runs their own NNTP server."
Another "it is all or nothing argument" and quoting satoshi to try and prove their point. Just because every user doesn't need to be also a full node doesn't mean that there aren't serious risks for having few nodes
For this to have any importance in practice, all of the miners, all of the exchanges, all of the explorers and all of the economic nodes should go rogue all at once. Collude to change consensus. If you have a node you can detect this. It doesn't do much, because such a scenario is impossible in practice.
Not true because as I said, you can DDoS the current nodes or run more malicious nodes than that there currently are, because is cheap to do so
Non-mining nodes don't contribute to adding data to the blockchain ledger, but they do play a part in propagating transactions that aren't yet in blocks (the mempool). Bitcoin client implementations can have different validations for transactions they see outside of blocks and transactions they see inside of blocks; this allows for "soft forks" to add new types of transactions without completely breaking older clients (while a transaction is in the mempool, a node receiving a transaction that's a new/unknown type could drop it as not a valid transaction (not propagate it to its peers), but if that same transaction ends up in a block and that node receives the block, they accept the block (and the transaction in it) as valid (and therefore don't get left behind on the blockchain and become a fork). The participation in the mempool is a sort of "herd immunity" protection for the network, and it was a key talking point for the "User Activated Soft Fork" (UASF) around the time the Segregated Witness feature was trying to be added in. If a certain percentage of nodes updated their software to not propagate certain types of transactions (or not communicate with certain types of nodes), then they can control what gets into a block (someone wanting to get that sort of transaction into a block would need to communicate directly to a mining node, or communicate only through nodes that weren't blocking that sort of transaction) if a certain threshold of nodes adheres to those same validation rules. It's less specific than the influence on the blockchain data that mining nodes have, but it's definitely not nothing.
The first reasonable comment in that thread but is deep down there with only 1 upvote
The addition of non-mining nodes does not add to the efficiency of the network, but actually takes away from it because of the latency issue.
That is true and is actually a trade off you are making, sacrificing security to have scalability
The addition of non-mining nodes has little to no effect on security, since you only need to destroy mining ones to take down the network
It is true that if you destroy mining nodes you take down the network from producing new blocks (temporarily), even if you have a lot of non mining nodes. But, it still better than if you take down the mining nodes who are also the only full nodes. If the miners are not the only full nodes, at least you still have full nodes with the blockchain data so new miners can download it and join. If all the miners are also the full nodes and you take them down, where will you get all the past blockchain data to start mining again? Just pray that the miners that were taken down come back online at some point in the future?
The real limiting factor is ISP's: Imagine a situation where one service provider defrauds 4000 different nodes. Did the excessive amount of nodes help at all, when they have all been defrauded by the same service provider? If there are only 30 ISP's in the world, how many nodes do we REALLY need?
You cant defraud if the connection is encrypted. Use TOR for example, it is hard for ISP's to know what you are doing.
Satoshi specifically said in the white paper that after a certain point, number of nodes needed plateaus, meaning after a certain point, adding more nodes is actually counterintuitive, which we also demonstrated. (the latency issue). So, we have adequately demonstrated why running non-mining nodes does not add additional value or security to the network.
Again, what is the number of nodes that makes it counterproductive? Did he do any math?
There's also the matter of economically significant nodes and the role they play in consensus. Sure, nobody cares about your average joe's "full node" where he is "keeping his own ledger to keep the miners honest", as it has no significance to the economy and the miners couldn't give a damn about it. However, if say some major exchanges got together to protest a miner activated fork, they would have some protest power against that fork because many people use their service. Of course, there still needs to be miners running on said "protest fork" to keep the chain running, but miners do follow the money and if they got caught mining a fork that none of the major exchanges were trading, they could be coaxed over to said "protest fork".
In consensus, what matters about nodes is only the number, economical power of the node doesn't mean nothing, the protocol doesn't see the net worth of the individual or organization running that node.
Running a full node that is not mining and not involved is spending or receiving payments is of very little use. It helps to make sure network traffic is broadcast, and is another copy of the blockchain, but that is all (and is probably not needed in a healthy coin with many other nodes)
He gets it right (broadcasting transaction and keeping a copy of the blockchain) but he dismisses the importance of it
submitted by r0bo7 to btc [link] [comments]

21 [M4F] - US/Online - I think it's finally time to find that special someone.


Hey everyone! I'm a hardcore nerd, I play video games way too much- but surprisingly am able to take care of myself and be self-reliant. This post has a bunch of shit that probably isn't too important, but I put a lot of effort into this stuff- because fuck it. The very bottom of this post will have a 'Summary:' which will give a quick wrap-up on everything.
Disclaimer: A lot of this post is going to be miscellaneous details about myself and my ideals- things I find important will be highlighted/bold for ease of reading. Thank you for taking the time to read this and have a wonderful day/night.

Introduction:

For starters, I'm an introvert, have been for a very long time. I leave the house for necessities, and that's about it. I don't plan to remain this way, and I have ventured past my comfort-line, but it's taken someone else to give me that ambition. If you're an extrovert, and I enjoy spending time with you, I'd be very convincible.
I'm quite tall, above 6ft. Chubby, but not fat. In the process of losing weight after plateauing. I was once an almost 400lb man, now sitting semi-comfortably at 220lbs. And I'm extremely grateful for not having any signs of loose skin. Appearance and visual interest are important things, so your picture gets mine at immediate request.
I'm sarcastic, open-minded; and love deep conversation. Despite that, I love memes and cringe-humor. I'm fairly unfiltered in speaking, I swear like a sailor and find humor in darkness.
I previously was a professional eSports player for World of Warcraft / Overwatch, that life is behind me now; I'm still a competitive-minded person, but I'm currently not interested in that scene.

Hobbies (Gaming):

For an introvert, I'd like to think I have more hobbies than typical. As assumed, I'm a gamer- don't worry, I wash myself regularly. I'm the type of person to enjoy the game for the social interaction rather than the game itself, but here are some of my all-time favorite games:(Note, I'll play just about anything a partner is interested, I'm not picky whatsoever.)

Hobbies (Not Gaming):


Believe it or not, I sometimes do more than just play video games. Sometimes.....
Here's a little peak at my other interests.






What I'm looking for:

To be extremely honest, I want a new *person* in my life. Someone who wants to hang out regularly, talk all night, play games together and share experiences with. Disclaimer: A lot of people are anxious and embarrassed to admit that they're clingy. I honestly appreciate people who 'cling' to me- it's a reassurance and something that'll keep me crawling out of bed in the morning (or night, my sleep schedule is interesting.) Just don't DOX me and deliver pizzas to my house at 4am; been there, done that.

I have no immediate dealbreakers or preferences. Age isn't an issue whatsoever as long as you're 18+. Location isn't \that big* of an issue, but can be at times. Regardless, if I enjoy spending time with you, I can make it work.*

"NSFW":

I'll keep this part short and sweet since it's kinda cringe. I'm a Switch and a *freak.*


'The Summary:' 21/M Looking for a UwU GF to play games and talk with on Discord.

Thank you for taking the time to read this. Have a wonderful day/night.
Peace.
submitted by throwaway987513 to r4r [link] [comments]

Deep Dive on the first Reddit Points, $DONUT Token 🍩 🍩 🍩Very Attractive, Low-Cap Opportunity 💎

DONUT TOKEN 🍩 🍩 🍩

TL;DR:


Fun fact, @cslarson (head moderator of ethtrader and founder of DONUTS as far as I can tell) was actually hacking on SourceCred before DONUTS happened. He, along with @lkngtn and @jvluso had recently coded up credao at a hackathon, a project that mints ERC-20 tokens in an Aragon DAO according to Cred scores, when he got the call from Reddit offering support for prototyping DONUTS on ethtrader. Can’t blame him:)
... 👇👇👇

MAIN POST:

Funnily enough, this is actually an alpha: right now you can ‘farm DONUT’ by contributing to ethtrader through high-quality memes, discussions, comments etc. Just by being an active member of the community, you can earn DONUT 🍩 tokens which you can sell for real $ETH. I’ll explain later why people would want to buy DONUT. Or, you can HODL them, which is highly recommended. Based on the last rewards distribution (https://www.reddit.com/ethtradecomments/i48u9g/new_donuts_distribution/) if you earned a mere 100 or so Karma points in the sub, you would have received 10,000 DONUT tokens which you can then sell for ETH on a growing list of exchanges, namely Uniswap (which has growing liquidity).
This is an example of what DeFi and Ethereum are all about and is one of the more significant community-focused projects. You have all sorts of crummy community tokens out there but none have the ecosystem to back them up. Don’t get me wrong, I’m not saying DONUT is a $LEND, $COMP, etc but it ticks all the boxes to be considered a moon-shot: meme-worthy, existing network effect, undeniable utility, Reddit-backing, AragonDAO support, and more.
...
The Ethtrader Group is a 100% community-run subreddit-collective where the governance token DONUT 🍩is used to vote on proposals regarding tokenomics. Slashing supply, changing tokenomics and other decisions can be made in their AragonDAO with the more DONUT 🍩 you hold resulting in higher voting power. It makes sense that Aragon was used seeing as the lead developer Carlson was working on Credao (a similar concept) using Aragon before he was approached by Reddit to work on the very first iteration of their Community Points system before rolling it out across the entire platform. Source. Any member of the community can propose changes by first gauging sentiment through polls in the subreddit (something you need DONUT for by the way), following up with proposals in AragonDAO which require voting (again voting power is tied to DONUT holdings).
...
Growth over time: DONUT 🍩 has thus far followed similar growth trajectories of projects that start out organic, community and product-focused and over time attract real interest, real activity and real growth. This is in opposition to projects that market first and deliver later. DONUT hasn’t marketed anything as the community has focussed internally during the bear market and the ecosystem is relatively new, which is why it isn’t already worth more. I have been trading crypto since 2011 and ALTs since 2014 and I’ve learned to spot these nuanced differences between projects, and the all-important signals. The DONUT token launched in its current state in Jan 2019 with a volume of $30 and a price of $0.0019. But I am going to focus on December 2019 as the start date for a number of reasons: first, due to some teething pains with the direction of Ethtrader & $DONUT some of the team split off, the Token also underwent a shift and you can see on the chart this early phase does not reflect any organic price action. So, starting from the latter date, looking at the chart, you can see an organic price development typical of many promising projects. Slow, steady accumulation, followed by sharper ups and downs with the bottoms rising upwards. I saw this same pattern on pretty much every organic-driven ALT I’ve invested in with success. In the last 2 weeks, ATHs have been broken across the board.
...
Similar successes: Let’s face it. In our funky community, tokens of all kinds can grow astronomically. Even those without a single use-case can grow simply because they are meme-worthy. Think $DogeCoin or $Garlicoin. More recently you have $TEND which is growing in popularity and is currently worth $1 (when I first started writing this post, it was at $0.50. DONUT was at $0.005 and is now touching $0.01).
DONUT 🍩 is unique in that it has potential to be a significant Ethereum meme token on par with these examples but more importantly, it also has tangible use-cases which will ensure the project remains active over a longer course of time, with accessibility open to anyone with spare time to meaningfully contribute to the community. But that isn’t the clincher. The Ethtrader group is large and getting larger with almost a quarter of a million members at the time of writing. That is a valuable audience of highly relevant people interested in cryptocurrency, especially Ethereum. DONUT 🍩is used in a Harbinger Tax style system (whereby someone would use DONUT to buy ad space from the current owner for a price set by that owner. This person would then set a new price — this will be the cost someone who wants it back will need to pay — and then based on this new price there will be a 100% daily tax for as long as you choose to hold the banner for). This adversarial system will ensure you have projects (typically with deep pockets) buying up lots of DONUT 🍩 to ensure they can control the banner, spending those DONUT tokens on getting the banner, and the process will continue over and over. If we enter a new bull market for DeFi, this will be a significant value and liquidity driver as let’s face it, that is prime real estate for brand exposure. I'll draw your attention back to the feedback loop I mentioned in the TL;DR.

Tokenomics:

📸IMAGE: https://imgur.com/a/CnFpfQr
*note, this is just a quick thing I slapped together and shows just one process and one use-case and is not a comprehensive diagram. Hopefully, it is useful anyway.
Deflationary or inflationary?
The DONUT used to buy the banner is always burnt, currently, 3 Million DONUT is burned per month. While there is monthly issuance (the source of contribution rewards), there is also frequent burn events. Currently, the banner is burning 100,000 DONUT per day compared to the 4,000,000 issued per month.
This daily burn can increase or decrease depending on the cost of the banner which can increase or decrease based on what the owner sets it as. This means when demand increases (exchanges, dapps, projects bid for the banner space), the burn rate will exceed the issuance rate, resulting in deflationary tokenomics. Conversely, if the cost of the banner decreases and is below the threshold (as it currently is, only slightly) then technically it will be inflationary.
The deflationary dominance has already proven to be effective seeing as the token started out with 100m units and now on around 90m. Furthermore, the issuance rate can at anytime be slashed if put to a community vote which anyone in the community can initiate, so long as they own DONUT. So, DONUT is also used here as a governance token, the more you have the stronger your vote on such decisions. To use DONUT to vote on community initiatives or a change in the tokenomics, you’ll need to visit their integrated AragonDAO and learn more about the process. This can be found here: https://mainnet.aragon.org/#/0x57EBE61f5f8303AD944136b293C1836B3803b4c0 and is also where DONUT is claimed from.

Takeaways:

Resources:

In the news:

I hope this was in-depth and useful. I have tried to add as much as possible but I have no doubt missed some stuff as well. As always, DYOR and make an informed decision. For me, at this price, it's a no brainer.
submitted by defi-chad to CryptoMoonShots [link] [comments]

Why i’m bullish on Zilliqa (long read)

Edit: TL;DR added in the comments
 
Hey all, I've been researching coins since 2017 and have gone through 100s of them in the last 3 years. I got introduced to blockchain via Bitcoin of course, analyzed Ethereum thereafter and from that moment I have a keen interest in smart contact platforms. I’m passionate about Ethereum but I find Zilliqa to have a better risk-reward ratio. Especially because Zilliqa has found an elegant balance between being secure, decentralized and scalable in my opinion.
 
Below I post my analysis of why from all the coins I went through I’m most bullish on Zilliqa (yes I went through Tezos, EOS, NEO, VeChain, Harmony, Algorand, Cardano etc.). Note that this is not investment advice and although it's a thorough analysis there is obviously some bias involved. Looking forward to what you all think!
 
Fun fact: the name Zilliqa is a play on ‘silica’ silicon dioxide which means “Silicon for the high-throughput consensus computer.”
 
This post is divided into (i) Technology, (ii) Business & Partnerships, and (iii) Marketing & Community. I’ve tried to make the technology part readable for a broad audience. If you’ve ever tried understanding the inner workings of Bitcoin and Ethereum you should be able to grasp most parts. Otherwise, just skim through and once you are zoning out head to the next part.
 
Technology and some more:
 
Introduction
 
The technology is one of the main reasons why I’m so bullish on Zilliqa. First thing you see on their website is: “Zilliqa is a high-performance, high-security blockchain platform for enterprises and next-generation applications.” These are some bold statements.
 
Before we deep dive into the technology let’s take a step back in time first as they have quite the history. The initial research paper from which Zilliqa originated dates back to August 2016: Elastico: A Secure Sharding Protocol For Open Blockchains where Loi Luu (Kyber Network) is one of the co-authors. Other ideas that led to the development of what Zilliqa has become today are: Bitcoin-NG, collective signing CoSi, ByzCoin and Omniledger.
 
The technical white paper was made public in August 2017 and since then they have achieved everything stated in the white paper and also created their own open source intermediate level smart contract language called Scilla (functional programming language similar to OCaml) too.
 
Mainnet is live since the end of January 2019 with daily transaction rates growing continuously. About a week ago mainnet reached 5 million transactions, 500.000+ addresses in total along with 2400 nodes keeping the network decentralized and secure. Circulating supply is nearing 11 billion and currently only mining rewards are left. The maximum supply is 21 billion with annual inflation being 7.13% currently and will only decrease with time.
 
Zilliqa realized early on that the usage of public cryptocurrencies and smart contracts were increasing but decentralized, secure, and scalable alternatives were lacking in the crypto space. They proposed to apply sharding onto a public smart contract blockchain where the transaction rate increases almost linear with the increase in the amount of nodes. More nodes = higher transaction throughput and increased decentralization. Sharding comes in many forms and Zilliqa uses network-, transaction- and computational sharding. Network sharding opens up the possibility of using transaction- and computational sharding on top. Zilliqa does not use state sharding for now. We’ll come back to this later.
 
Before we continue dissecting how Zilliqa achieves such from a technological standpoint it’s good to keep in mind that a blockchain being decentralised and secure and scalable is still one of the main hurdles in allowing widespread usage of decentralised networks. In my opinion this needs to be solved first before blockchains can get to the point where they can create and add large scale value. So I invite you to read the next section to grasp the underlying fundamentals. Because after all these premises need to be true otherwise there isn’t a fundamental case to be bullish on Zilliqa, right?
 
Down the rabbit hole
 
How have they achieved this? Let’s define the basics first: key players on Zilliqa are the users and the miners. A user is anybody who uses the blockchain to transfer funds or run smart contracts. Miners are the (shard) nodes in the network who run the consensus protocol and get rewarded for their service in Zillings (ZIL). The mining network is divided into several smaller networks called shards, which is also referred to as ‘network sharding’. Miners subsequently are randomly assigned to a shard by another set of miners called DS (Directory Service) nodes. The regular shards process transactions and the outputs of these shards are eventually combined by the DS shard as they reach consensus on the final state. More on how these DS shards reach consensus (via pBFT) will be explained later on.
 
The Zilliqa network produces two types of blocks: DS blocks and Tx blocks. One DS Block consists of 100 Tx Blocks. And as previously mentioned there are two types of nodes concerned with reaching consensus: shard nodes and DS nodes. Becoming a shard node or DS node is being defined by the result of a PoW cycle (Ethash) at the beginning of the DS Block. All candidate mining nodes compete with each other and run the PoW (Proof-of-Work) cycle for 60 seconds and the submissions achieving the highest difficulty will be allowed on the network. And to put it in perspective: the average difficulty for one DS node is ~ 2 Th/s equaling 2.000.000 Mh/s or 55 thousand+ GeForce GTX 1070 / 8 GB GPUs at 35.4 Mh/s. Each DS Block 10 new DS nodes are allowed. And a shard node needs to provide around 8.53 GH/s currently (around 240 GTX 1070s). Dual mining ETH/ETC and ZIL is possible and can be done via mining software such as Phoenix and Claymore. There are pools and if you have large amounts of hashing power (Ethash) available you could mine solo.
 
The PoW cycle of 60 seconds is a peak performance and acts as an entry ticket to the network. The entry ticket is called a sybil resistance mechanism and makes it incredibly hard for adversaries to spawn lots of identities and manipulate the network with these identities. And after every 100 Tx Blocks which corresponds to roughly 1,5 hour this PoW process repeats. In between these 1,5 hour, no PoW needs to be done meaning Zilliqa’s energy consumption to keep the network secure is low. For more detailed information on how mining works click here.
Okay, hats off to you. You have made it this far. Before we go any deeper down the rabbit hole we first must understand why Zilliqa goes through all of the above technicalities and understand a bit more what a blockchain on a more fundamental level is. Because the core of Zilliqa’s consensus protocol relies on the usage of pBFT (practical Byzantine Fault Tolerance) we need to know more about state machines and their function. Navigate to Viewblock, a Zilliqa block explorer, and just come back to this article. We will use this site to navigate through a few concepts.
 
We have established that Zilliqa is a public and distributed blockchain. Meaning that everyone with an internet connection can send ZILs, trigger smart contracts, etc. and there is no central authority who fully controls the network. Zilliqa and other public and distributed blockchains (like Bitcoin and Ethereum) can also be defined as state machines.
 
Taking the liberty of paraphrasing examples and definitions given by Samuel Brooks’ medium article, he describes the definition of a blockchain (like Zilliqa) as: “A peer-to-peer, append-only datastore that uses consensus to synchronize cryptographically-secure data”.
 
Next, he states that: "blockchains are fundamentally systems for managing valid state transitions”. For some more context, I recommend reading the whole medium article to get a better grasp of the definitions and understanding of state machines. Nevertheless, let’s try to simplify and compile it into a single paragraph. Take traffic lights as an example: all its states (red, amber, and green) are predefined, all possible outcomes are known and it doesn’t matter if you encounter the traffic light today or tomorrow. It will still behave the same. Managing the states of a traffic light can be done by triggering a sensor on the road or pushing a button resulting in one traffic lights’ state going from green to red (via amber) and another light from red to green.
 
With public blockchains like Zilliqa, this isn’t so straightforward and simple. It started with block #1 almost 1,5 years ago and every 45 seconds or so a new block linked to the previous block is being added. Resulting in a chain of blocks with transactions in it that everyone can verify from block #1 to the current #647.000+ block. The state is ever changing and the states it can find itself in are infinite. And while the traffic light might work together in tandem with various other traffic lights, it’s rather insignificant comparing it to a public blockchain. Because Zilliqa consists of 2400 nodes who need to work together to achieve consensus on what the latest valid state is while some of these nodes may have latency or broadcast issues, drop offline or are deliberately trying to attack the network, etc.
 
Now go back to the Viewblock page take a look at the amount of transaction, addresses, block and DS height and then hit refresh. Obviously as expected you see new incremented values on one or all parameters. And how did the Zilliqa blockchain manage to transition from a previous valid state to the latest valid state? By using pBFT to reach consensus on the latest valid state.
 
After having obtained the entry ticket, miners execute pBFT to reach consensus on the ever-changing state of the blockchain. pBFT requires a series of network communication between nodes, and as such there is no GPU involved (but CPU). Resulting in the total energy consumed to keep the blockchain secure, decentralized and scalable being low.
 
pBFT stands for practical Byzantine Fault Tolerance and is an optimization on the Byzantine Fault Tolerant algorithm. To quote Blockonomi: “In the context of distributed systems, Byzantine Fault Tolerance is the ability of a distributed computer network to function as desired and correctly reach a sufficient consensus despite malicious components (nodes) of the system failing or propagating incorrect information to other peers.” Zilliqa is such a distributed computer network and depends on the honesty of the nodes (shard and DS) to reach consensus and to continuously update the state with the latest block. If pBFT is a new term for you I can highly recommend the Blockonomi article.
 
The idea of pBFT was introduced in 1999 - one of the authors even won a Turing award for it - and it is well researched and applied in various blockchains and distributed systems nowadays. If you want more advanced information than the Blockonomi link provides click here. And if you’re in between Blockonomi and the University of Singapore read the Zilliqa Design Story Part 2 dating from October 2017.
Quoting from the Zilliqa tech whitepaper: “pBFT relies upon a correct leader (which is randomly selected) to begin each phase and proceed when the sufficient majority exists. In case the leader is byzantine it can stall the entire consensus protocol. To address this challenge, pBFT offers a view change protocol to replace the byzantine leader with another one.”
 
pBFT can tolerate ⅓ of the nodes being dishonest (offline counts as Byzantine = dishonest) and the consensus protocol will function without stalling or hiccups. Once there are more than ⅓ of dishonest nodes but no more than ⅔ the network will be stalled and a view change will be triggered to elect a new DS leader. Only when more than ⅔ of the nodes are dishonest (66%) double-spend attacks become possible.
 
If the network stalls no transactions can be processed and one has to wait until a new honest leader has been elected. When the mainnet was just launched and in its early phases, view changes happened regularly. As of today the last stalling of the network - and view change being triggered - was at the end of October 2019.
 
Another benefit of using pBFT for consensus besides low energy is the immediate finality it provides. Once your transaction is included in a block and the block is added to the chain it’s done. Lastly, take a look at this article where three types of finality are being defined: probabilistic, absolute and economic finality. Zilliqa falls under the absolute finality (just like Tendermint for example). Although lengthy already we skipped through some of the inner workings from Zilliqa’s consensus: read the Zilliqa Design Story Part 3 and you will be close to having a complete picture on it. Enough about PoW, sybil resistance mechanism, pBFT, etc. Another thing we haven’t looked at yet is the amount of decentralization.
 
Decentralisation
 
Currently, there are four shards, each one of them consisting of 600 nodes. 1 shard with 600 so-called DS nodes (Directory Service - they need to achieve a higher difficulty than shard nodes) and 1800 shard nodes of which 250 are shard guards (centralized nodes controlled by the team). The amount of shard guards has been steadily declining from 1200 in January 2019 to 250 as of May 2020. On the Viewblock statistics, you can see that many of the nodes are being located in the US but those are only the (CPU parts of the) shard nodes who perform pBFT. There is no data from where the PoW sources are coming. And when the Zilliqa blockchain starts reaching its transaction capacity limit, a network upgrade needs to be executed to lift the current cap of maximum 2400 nodes to allow more nodes and formation of more shards which will allow to network to keep on scaling according to demand.
Besides shard nodes there are also seed nodes. The main role of seed nodes is to serve as direct access points (for end-users and clients) to the core Zilliqa network that validates transactions. Seed nodes consolidate transaction requests and forward these to the lookup nodes (another type of nodes) for distribution to the shards in the network. Seed nodes also maintain the entire transaction history and the global state of the blockchain which is needed to provide services such as block explorers. Seed nodes in the Zilliqa network are comparable to Infura on Ethereum.
 
The seed nodes were first only operated by Zilliqa themselves, exchanges and Viewblock. Operators of seed nodes like exchanges had no incentive to open them for the greater public. They were centralised at first. Decentralisation at the seed nodes level has been steadily rolled out since March 2020 ( Zilliqa Improvement Proposal 3 ). Currently the amount of seed nodes is being increased, they are public-facing and at the same time PoS is applied to incentivize seed node operators and make it possible for ZIL holders to stake and earn passive yields. Important distinction: seed nodes are not involved with consensus! That is still PoW as entry ticket and pBFT for the actual consensus.
 
5% of the block rewards are being assigned to seed nodes (from the beginning in 2019) and those are being used to pay out ZIL stakers. The 5% block rewards with an annual yield of 10.03% translate to roughly 610 MM ZILs in total that can be staked. Exchanges use the custodial variant of staking and wallets like Moonlet will use the non-custodial version (starting in Q3 2020). Staking is being done by sending ZILs to a smart contract created by Zilliqa and audited by Quantstamp.
 
With a high amount of DS; shard nodes and seed nodes becoming more decentralized too, Zilliqa qualifies for the label of decentralized in my opinion.
 
Smart contracts
 
Let me start by saying I’m not a developer and my programming skills are quite limited. So I‘m taking the ELI5 route (maybe 12) but if you are familiar with Javascript, Solidity or specifically OCaml please head straight to Scilla - read the docs to get a good initial grasp of how Zilliqa’s smart contract language Scilla works and if you ask yourself “why another programming language?” check this article. And if you want to play around with some sample contracts in an IDE click here. The faucet can be found here. And more information on architecture, dapp development and API can be found on the Developer Portal.
If you are more into listening and watching: check this recent webinar explaining Zilliqa and Scilla. Link is time-stamped so you’ll start right away with a platform introduction, roadmap 2020 and afterwards a proper Scilla introduction.
 
Generalized: programming languages can be divided into being ‘object-oriented’ or ‘functional’. Here is an ELI5 given by software development academy: * “all programs have two basic components, data – what the program knows – and behavior – what the program can do with that data. So object-oriented programming states that combining data and related behaviors in one place, is called “object”, which makes it easier to understand how a particular program works. On the other hand, functional programming argues that data and behavior are different things and should be separated to ensure their clarity.” *
 
Scilla is on the functional side and shares similarities with OCaml: OCaml is a general-purpose programming language with an emphasis on expressiveness and safety. It has an advanced type system that helps catch your mistakes without getting in your way. It's used in environments where a single mistake can cost millions and speed matters, is supported by an active community, and has a rich set of libraries and development tools. For all its power, OCaml is also pretty simple, which is one reason it's often used as a teaching language.
 
Scilla is blockchain agnostic, can be implemented onto other blockchains as well, is recognized by academics and won a so-called Distinguished Artifact Award award at the end of last year.
 
One of the reasons why the Zilliqa team decided to create their own programming language focused on preventing smart contract vulnerabilities is that adding logic on a blockchain, programming, means that you cannot afford to make mistakes. Otherwise, it could cost you. It’s all great and fun blockchains being immutable but updating your code because you found a bug isn’t the same as with a regular web application for example. And with smart contracts, it inherently involves cryptocurrencies in some form thus value.
 
Another difference with programming languages on a blockchain is gas. Every transaction you do on a smart contract platform like Zilliqa or Ethereum costs gas. With gas you basically pay for computational costs. Sending a ZIL from address A to address B costs 0.001 ZIL currently. Smart contracts are more complex, often involve various functions and require more gas (if gas is a new concept click here ).
 
So with Scilla, similar to Solidity, you need to make sure that “every function in your smart contract will run as expected without hitting gas limits. An improper resource analysis may lead to situations where funds may get stuck simply because a part of the smart contract code cannot be executed due to gas limits. Such constraints are not present in traditional software systems”. Scilla design story part 1
 
Some examples of smart contract issues you’d want to avoid are: leaking funds, ‘unexpected changes to critical state variables’ (example: someone other than you setting his or her address as the owner of the smart contract after creation) or simply killing a contract.
 
Scilla also allows for formal verification. Wikipedia to the rescue: In the context of hardware and software systems, formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.
 
Formal verification can be helpful in proving the correctness of systems such as: cryptographic protocols, combinational circuits, digital circuits with internal memory, and software expressed as source code.
 
Scilla is being developed hand-in-hand with formalization of its semantics and its embedding into the Coq proof assistant — a state-of-the art tool for mechanized proofs about properties of programs.”
 
Simply put, with Scilla and accompanying tooling developers can be mathematically sure and proof that the smart contract they’ve written does what he or she intends it to do.
 
Smart contract on a sharded environment and state sharding
 
There is one more topic I’d like to touch on: smart contract execution in a sharded environment (and what is the effect of state sharding). This is a complex topic. I’m not able to explain it any easier than what is posted here. But I will try to compress the post into something easy to digest.
 
Earlier on we have established that Zilliqa can process transactions in parallel due to network sharding. This is where the linear scalability comes from. We can define simple transactions: a transaction from address A to B (Category 1), a transaction where a user interacts with one smart contract (Category 2) and the most complex ones where triggering a transaction results in multiple smart contracts being involved (Category 3). The shards are able to process transactions on their own without interference of the other shards. With Category 1 transactions that is doable, with Category 2 transactions sometimes if that address is in the same shard as the smart contract but with Category 3 you definitely need communication between the shards. Solving that requires to make a set of communication rules the protocol needs to follow in order to process all transactions in a generalised fashion.
 
And this is where the downsides of state sharding comes in currently. All shards in Zilliqa have access to the complete state. Yes the state size (0.1 GB at the moment) grows and all of the nodes need to store it but it also means that they don’t need to shop around for information available on other shards. Requiring more communication and adding more complexity. Computer science knowledge and/or developer knowledge required links if you want to dig further: Scilla - language grammar Scilla - Foundations for Verifiable Decentralised Computations on a Blockchain Gas Accounting NUS x Zilliqa: Smart contract language workshop
 
Easier to follow links on programming Scilla https://learnscilla.com/home Ivan on Tech
 
Roadmap / Zilliqa 2.0
 
There is no strict defined roadmap but here are topics being worked on. And via the Zilliqa website there is also more information on the projects they are working on.
 
Business & Partnerships
 
It’s not only technology in which Zilliqa seems to be excelling as their ecosystem has been expanding and starting to grow rapidly. The project is on a mission to provide OpenFinance (OpFi) to the world and Singapore is the right place to be due to its progressive regulations and futuristic thinking. Singapore has taken a proactive approach towards cryptocurrencies by introducing the Payment Services Act 2019 (PS Act). Among other things, the PS Act will regulate intermediaries dealing with certain cryptocurrencies, with a particular focus on consumer protection and anti-money laundering. It will also provide a stable regulatory licensing and operating framework for cryptocurrency entities, effectively covering all crypto businesses and exchanges based in Singapore. According to PWC 82% of the surveyed executives in Singapore reported blockchain initiatives underway and 13% of them have already brought the initiatives live to the market. There is also an increasing list of organizations that are starting to provide digital payment services. Moreover, Singaporean blockchain developers Building Cities Beyond has recently created an innovation $15 million grant to encourage development on its ecosystem. This all suggests that Singapore tries to position itself as (one of) the leading blockchain hubs in the world.
 
Zilliqa seems to already take advantage of this and recently helped launch Hg Exchange on their platform, together with financial institutions PhillipCapital, PrimePartners and Fundnel. Hg Exchange, which is now approved by the Monetary Authority of Singapore (MAS), uses smart contracts to represent digital assets. Through Hg Exchange financial institutions worldwide can use Zilliqa's safe-by-design smart contracts to enable the trading of private equities. For example, think of companies such as Grab, Airbnb, SpaceX that are not available for public trading right now. Hg Exchange will allow investors to buy shares of private companies & unicorns and capture their value before an IPO. Anquan, the main company behind Zilliqa, has also recently announced that they became a partner and shareholder in TEN31 Bank, which is a fully regulated bank allowing for tokenization of assets and is aiming to bridge the gap between conventional banking and the blockchain world. If STOs, the tokenization of assets, and equity trading will continue to increase, then Zilliqa’s public blockchain would be the ideal candidate due to its strategic positioning, partnerships, regulatory compliance and the technology that is being built on top of it.
 
What is also very encouraging is their focus on banking the un(der)banked. They are launching a stablecoin basket starting with XSGD. As many of you know, stablecoins are currently mostly used for trading. However, Zilliqa is actively trying to broaden the use case of stablecoins. I recommend everybody to read this text that Amrit Kumar wrote (one of the co-founders). These stablecoins will be integrated in the traditional markets and bridge the gap between the crypto world and the traditional world. This could potentially revolutionize and legitimise the crypto space if retailers and companies will for example start to use stablecoins for payments or remittances, instead of it solely being used for trading.
 
Zilliqa also released their DeFi strategic roadmap (dating November 2019) which seems to be aligning well with their OpFi strategy. A non-custodial DEX is coming to Zilliqa made by Switcheo which allows cross-chain trading (atomic swaps) between ETH, EOS and ZIL based tokens. They also signed a Memorandum of Understanding for a (soon to be announced) USD stablecoin. And as Zilliqa is all about regulations and being compliant, I’m speculating on it to be a regulated USD stablecoin. Furthermore, XSGD is already created and visible on block explorer and XIDR (Indonesian Stablecoin) is also coming soon via StraitsX. Here also an overview of the Tech Stack for Financial Applications from September 2019. Further quoting Amrit Kumar on this:
 
There are two basic building blocks in DeFi/OpFi though: 1) stablecoins as you need a non-volatile currency to get access to this market and 2) a dex to be able to trade all these financial assets. The rest are built on top of these blocks.
 
So far, together with our partners and community, we have worked on developing these building blocks with XSGD as a stablecoin. We are working on bringing a USD-backed stablecoin as well. We will soon have a decentralised exchange developed by Switcheo. And with HGX going live, we are also venturing into the tokenization space. More to come in the future.”
 
Additionally, they also have this ZILHive initiative that injects capital into projects. There have been already 6 waves of various teams working on infrastructure, innovation and research, and they are not from ASEAN or Singapore only but global: see Grantees breakdown by country. Over 60 project teams from over 20 countries have contributed to Zilliqa's ecosystem. This includes individuals and teams developing wallets, explorers, developer toolkits, smart contract testing frameworks, dapps, etc. As some of you may know, Unstoppable Domains (UD) blew up when they launched on Zilliqa. UD aims to replace cryptocurrency addresses with a human-readable name and allows for uncensorable websites. Zilliqa will probably be the only one able to handle all these transactions onchain due to ability to scale and its resulting low fees which is why the UD team launched this on Zilliqa in the first place. Furthermore, Zilliqa also has a strong emphasis on security, compliance, and privacy, which is why they partnered with companies like Elliptic, ChainSecurity (part of PwC Switzerland), and Incognito. Their sister company Aqilliz (Zilliqa spelled backwards) focuses on revolutionizing the digital advertising space and is doing interesting things like using Zilliqa to track outdoor digital ads with companies like Foodpanda.
 
Zilliqa is listed on nearly all major exchanges, having several different fiat-gateways and recently have been added to Binance’s margin trading and futures trading with really good volume. They also have a very impressive team with good credentials and experience. They don't just have “tech people”. They have a mix of tech people, business people, marketeers, scientists, and more. Naturally, it's good to have a mix of people with different skill sets if you work in the crypto space.
 
Marketing & Community
 
Zilliqa has a very strong community. If you just follow their Twitter their engagement is much higher for a coin that has approximately 80k followers. They also have been ‘coin of the day’ by LunarCrush many times. LunarCrush tracks real-time cryptocurrency value and social data. According to their data, it seems Zilliqa has a more fundamental and deeper understanding of marketing and community engagement than almost all other coins. While almost all coins have been a bit frozen in the last months, Zilliqa seems to be on its own bull run. It was somewhere in the 100s a few months ago and is currently ranked #46 on CoinGecko. Their official Telegram also has over 20k people and is very active, and their community channel which is over 7k now is more active and larger than many other official channels. Their local communities also seem to be growing.
 
Moreover, their community started ‘Zillacracy’ together with the Zilliqa core team ( see www.zillacracy.com ). It’s a community-run initiative where people from all over the world are now helping with marketing and development on Zilliqa. Since its launch in February 2020 they have been doing a lot and will also run their own non-custodial seed node for staking. This seed node will also allow them to start generating revenue for them to become a self sustaining entity that could potentially scale up to become a decentralized company working in parallel with the Zilliqa core team. Comparing it to all the other smart contract platforms (e.g. Cardano, EOS, Tezos etc.) they don't seem to have started a similar initiative (correct me if I’m wrong though). This suggests in my opinion that these other smart contract platforms do not fully understand how to utilize the ‘power of the community’. This is something you cannot ‘buy with money’ and gives many projects in the space a disadvantage.
 
Zilliqa also released two social products called SocialPay and Zeeves. SocialPay allows users to earn ZILs while tweeting with a specific hashtag. They have recently used it in partnership with the Singapore Red Cross for a marketing campaign after their initial pilot program. It seems like a very valuable social product with a good use case. I can see a lot of traditional companies entering the space through this product, which they seem to suggest will happen. Tokenizing hashtags with smart contracts to get network effect is a very smart and innovative idea.
 
Regarding Zeeves, this is a tipping bot for Telegram. They already have 1000s of signups and they plan to keep upgrading it for more and more people to use it (e.g. they recently have added a quiz features). They also use it during AMAs to reward people in real-time. It’s a very smart approach to grow their communities and get familiar with ZIL. I can see this becoming very big on Telegram. This tool suggests, again, that the Zilliqa team has a deeper understanding of what the crypto space and community needs and is good at finding the right innovative tools to grow and scale.
 
To be honest, I haven’t covered everything (i’m also reaching the character limited haha). So many updates happening lately that it's hard to keep up, such as the International Monetary Fund mentioning Zilliqa in their report, custodial and non-custodial Staking, Binance Margin, Futures, Widget, entering the Indian market, and more. The Head of Marketing Colin Miles has also released this as an overview of what is coming next. And last but not least, Vitalik Buterin has been mentioning Zilliqa lately acknowledging Zilliqa and mentioning that both projects have a lot of room to grow. There is much more info of course and a good part of it has been served to you on a silver platter. I invite you to continue researching by yourself :-) And if you have any comments or questions please post here!
submitted by haveyouheardaboutit to CryptoCurrency [link] [comments]

The uprasing of a BEAST - DXDAO and Gnosis Protocol - MAKER DAO Killer - DEFI 2.0

dxDAO - the First Crypto Exchange Run by a DAO

Marcet cap: 1.3 MLN Token handle: $DXD Circulation supply: 23 695 / 123 224 Team: Great members of Loopring, Kleros, Gnosis, Ethereum DXdao powered Dapps: Mix.eth / Omen.eth / Mesa.eth - revenue from Dapps goes to DXD holders.
DXdao is a decentralized community that develops, governs, and grows DeFi protocols and products. Its initial members were seeded through a 1 month process where over $20M in ETH and other tokens were staked and 400+ addresses received Reputation.
Since then, DXdao has been advancing critical DeFi infrastructure like Mesa.eth, a recently launched frontend to the Gnosis Protocol, and Omen.eth, a soon-to-launch prediction market platform.
The DXdao is also involved in developing Mix.eth, governing DMM, and maintaining the DutchX trading protocol. In order to bootstrap these efforts and broaden its stakeholder base, the DXdao recently voted to launch a public OpenRaise campaign.

Let’s go deeper in what that means.

Starting with Gnosis Protocol: Gnosis Protocol is built in the spirit of permissionless innovation. Its fully decentralized architecture means you don’t need to trust us at Gnosis to build on our protocol. Not only can anyone list tokens or build integrations, Gnosis Protocol's order settlement process does not rely on any operator.
Here you can learn more about the protocol and everything you need to start building. Start with the introduction, use cases, or a deep dive into the contracts.
Gnosis Protocol is a fully permissionless DEX, which has been in research and development over the course of the last two years.
Gnosis Protocol enables ring trades to maximize liquidity. Ring trades are order settlements which share liquidity across all orders, rather than a single token pair, and uniquely suited for trading prediction market tokens and the long tail of all tokenized assets.
Gnosis GitHub Page: https://github.com/gnosis
As you can see there is a lot of development going on which includes:
And many other developments…

Which leads us to DXDao products:

MIX.ETH Mix.finance/Mix.eth - A portfolio tracker with privacy and security as its core.
The goal of Mix is to deliver a portfolio manager for the Ethereum ecosystem with privacy, security and a good user experience as a core feature. With the emergence of DeFi 2, decentralised autonomous organisation frameworks (Aragon, 4 Daostack 2) and privacy enabling technologies (zk-SNARKs 3) we can finally deliver a next level wallet interface/portfolio manager.
Deeper dive into Mix.ETH: https://daotalk.org/t/mix-eth-seeking-feedback-on-proposal/1183
MESA.ET Mesa is an Open Source interface for the Gnosis Protocol, a fully permissionless DEX that enables ring trades to maximize liquidity.
Deeper dive into Mix.ETH: https://mesa.eth.link/
OMEN Omen is a fully decentralized prediction market platform built on top of the Gnosis conditional token framework. Slated to launch in the coming weeks, Omen will allow anyone to create a prediction market- be it in the realm of crypto, sports, politics, entertainment, etc.- and stake funds on a particular outcome.
“People can and will continue to disagree about important topics — that is natural and important — but prediction markets force them to acknowledge the current consensus and whether their input is persuasive.” — Flip Incoming, “The Case for Prediction Markets”
Generally, if you look at the cryptocurrency market, people buy and sell crypto based on their prediction of its future value. Prediction markets (also known as information markets, idea futures, event derivatives, decision markets, etc.) allow people to buy and sell outcomes of events. Because people are staking their funds in these markets, the truth becomes its own profit-bearing asset. Prediction markets can serve as aggregators of superior knowledge, where the market share price adjusts to new information and reflects the probability of future outcomes. Omen facilitates all of this on-chain through Gnosis’ conditional token framework.
Deeper dive into Omen: https://daotalk.org/t/omen-mvp-overview/1229https://medium.com/bitfwd/omen-dxdaos-new-flagship-product-4976be96d312

TEAM: That’s part is getting really interesting since we need to start with beginning what DAO really is.

DAO is a Decentralized Autonomous Organization (DAO), sometimes labeled a decentralized autonomous corporation (DAC), is an organization represented by rules encoded as a computer program that is transparent, controlled by shareholders and not influenced by a central government.
The dxDAO is a community-governed DAO which means they don't really have a team since it's a community driven project.
The dxDAO is a community-governed DAO with total control over the DutchX trading protocol.
Watch this explainer video how DutchX operates: https://www.youtube.com/watch?v=_TBVXT6XIe0
The dxDAO is not a Gnosis DAO. Gnosis is not part of the dxDAO. Although the technical development of the dxDAO is a project of Gnosis Limited with the support of DAOstack based on DAOstack’s Framework, the contribution of the Companies was limited to providing the technical basis for the dxDAO, including its one month initialisation phase, which ran from 29 May to 28 June 2019. Gnosis Limited did not participate in the initial voting rights’ distribution in the dxDAO.
This readthedocs document aims to make it easier for interested third parties to understand the DutchX and dxDAO data as critical infrastructure of the Ethereum blockchain ecosystem.
If you want to get deeper dive about this project check out link section in the bottom of article.

Market overview:

Maker (MKR) is a utility token, governance token and recapitalization resource of the Maker system.
Maker [MKR] is a token based on Ethereum blockchain. The most actual price for one Maker [MKR] is $552.43. Maker is listed on 33 exchanges with a sum of 65 active markets. The 24h volume of [MKR] is $20 738 227, while the Maker market cap is $555 507 722 which ranks it as #24 of all cryptocurrencies.
MKR Rank: 28 Marketcap: $494,696,419 Available Supply: 892,170 Max Supply: 1,005,576 USD: $554.8300 BTC: 0.05846718₿ ETH: 2.37206300Ξ
24h Low & High $529.50| $590.08

Comparing it to DXD:

DXD Rank: 582 Marketcap: $1,633,652 Available Supply: 23,697 Max Supply: 123,226 USD: $68.9400 BTC: 0.00726726₿ ETH: 0.29483887Ξ
24h Low & High $55.88| $74.16

Other #DEFI Partners:

The DeFi Money Market (DMM) provides a trust-minimized, transparent, and permissionless environment on the Ethereum blockchain that empowers users across the world to once again earn a positive yield through digital assets backed by a basket of interest-generating real-world assets brought on-chain into the DeFi space. DMM operates as an ecosystem where real-asset owners can tap Ethereum digital asset owners for funding, which also allows digital asset lenders to gain exposure to uncorrelated passive income. This enables real world asset owners to engage in collateralized borrowing at more competitive rates with a global permissionless reach. In the DMM Ecosystem, both the off-chain assets backing mTokens and the interest revenue generated from these assets are overcollateralized, thus protecting depositors.
Being backed by real world assets also means DMM mTokens can offer users a much more stable and reliable ROI on their deposited funds (currently DAI, USDC, ETH) at a stable 6.25% APY. This is in contrast to many other on-chain money markets which offer variable interest rates driven by cryptocurrency leverage traders. Transparency into the off-chain assets backing mTokens and their valuations can be found on-chain and on the DMM Explorer. Additionally, our collaboration and usage of Chainlink’s decentralized oracles adds an extra layer of security and trust to the ecosystem by writing essential data on-chain that details the ecosystem’s valuation and total active collateralization.
Website: https://defimoneymarket.com/
DMM DAO Partnership with DXDao
“DMM has and will continue to work with the DXdao, a DeFi-focused DAO, in crafting the structure and overall governance of the DMM DAO to utilize and implement best practices in DAO governance. The DXdao was granted a 2% allocation of DMG tokens, and is composed of over 400 stakeholders that control Ethereum protocols and related assets, a treasury of Ether and tokens, and oversees multiple different DeFi projects including Mix.eth, Omen.eth, and Mesa.eth.
Through the governance structure we have laid out above, it is our goal that the DMG governance token and community DAO will enable DMM to become a highly decentralized protocol removing any single point of failure. We anticipate that changes and fine-tuning to this structure will be required and we are open to any and all feedback you may have as DMM is a community driven project first and foremost.
By enabling permissionless access to a stable yield backed by revenue generating real world assets, we envision a world where your geolocation makes no difference to the ability to secure your financial freedom or grow your business.”
Source: https://medium.com/dmm-dao/defi-money-market-dmm-dmg-governance-token-491c9a62c6bf

TLDR

To put it in perspective/ This is your golden ticket to join DEFI wagon with uprising od DXDdao and Gnosis Protocol. 30% of MKR market cap will place DXD token at value of 6262 USD PER 1DXD.
BUY IT AND HODL IT.
Can’t do all detective work but remember I’m the person who called MFG from the bottom. I know my game.

For further questions regarding DXdao’s campaign visit websites:

DXdao.eth https://twitter.com/Dxdao_https://t.me/dxDAOhttps://twitter.com/Ingalandia
Sources: https://medium.com/bitfwd/distributed-capital-formation-with-openraise-3af9a601ad63 https://docs.gnosis.io/protocol/ https://en.wikipedia.org/wiki/Decentralized_autonomous_organization
This article is for informational purposes only. Please seek independent legal and financial advice in your jurisdiction before making any investment decisions.
submitted by jud4sh to CryptoMoonShots [link] [comments]

Tutorial: Deep Reinforcement Learning For Algorithmic ... Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8 Bitcoin Price Prediction In 10 Minutes Using Machine Learning Cryptocurrency Price Prediction: Machine Learning Trading Algorithm (XGBOOST) Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10

Notwithstanding the significant risks of trading in a highly volatile market, AI Trader was developed to enhance your profit potential. How AI Trader Deep Learning Artificial Intelligence Crypto Trading Works. The AI Trader is the next generation artificial intelligence trading ecosystem which is backed by machine learning. There are 2 types of trading algorithms characterized by different speeds, turnover rates, and order-to-trade ratios that leverages different frequency financial data and electronic trading tools. A new potential use case of deep learning is the use of it to develop a Cryptocurrency Trader Sentiment Detector. I am currently developing a Sentiment Analyzer on News Headlines, Reddit posts, and Twitter posts by utilizing Recursive Neural Tensor Networks (RNTN) to provide insight into the overall trader sentiment. The process for creating deep learning models for crypto assets can be summarized in three easy steps: wash trading records are some of the elements that affect the reliability of data sources Source: Deep Learning on Medium Airbag.ai is a crypto trading bot oriented to simplicity and risk-mitigation, using the Binance API. We want to help people be more aware…Continue reading on Medium …

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Tutorial: Deep Reinforcement Learning For Algorithmic ...

Leading up to this tutorial, we've learned about recurrent neural networks, deployed one on a simpler dataset, and now we are working on doing it with a more... Welcome to the next tutorial covering deep learning with Python, Tensorflow, and Keras. We've been working on a cryptocurrency price movement prediction recurrent neural network, focusing mainly ... Cryptocurrency can be a high-risk, high-reward game for those willing to deal with the volatility. Can we use AI to help us make predictions about Bitcoin's ... Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8 - Duration: 21:53. ... Crypto Trading With Neural Networks: Machine Learning & Markets - Duration: 9:16. In this tutorial, we'll see an example of deep reinforcement learning for algorithmic trading using BTGym (OpenAI Gym environment API for backtrader backtest...

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