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r/CryptoMoonShotsSee Post

Saudi Bonk – Coinmarketcap trending top 2 | More than 400% increase in value for the last 24 hours | Already listed on CEX | Arabic version of Bonk | Staking, AI, NFT, P2E game utilities | 0/0 tax | Incredible marketing | The team did 100M + MC project before

r/CryptoMoonShotsSee Post

Saudi Bonk – Coinmarketcap trending top 2! | +400% for last 24 hours | Listed on CEX | Arabic version of Bonk | Staking, AI, NFT, P2E game utilities | 0/0 tax | Amazing marketing plan | Team did 100M + MC project

r/CryptoMoonShotsSee Post

Saudi Bonk – Coinmarketcap trending top 2! | +400% for last 24 hours | Listed on CEX | Arabic version of Bonk | Staking, AI, NFT, P2E game utilities | 0/0 tax | Amazing marketing plan | Team did 100M + MC project

r/CryptoMoonShotsSee Post

Grass IO: Passive Income

r/CryptoMoonShotsSee Post

Saudi Bonk – Listed on CMC today! | Arabic version of Bonk | Staking, AI, NFT, P2E game utilities | 0/0 tax | Amazing marketing plan | 650k mcap | Team did 100M + MC project

r/CryptoMoonShotsSee Post

Saudi Bonk – Just listed on CMC! | Arabic version of Bonk | Staking, AI, NFT, P2E game utilities | 0/0 tax | Amazing marketing plan | 650k mcap | Team did 100M + MC project

r/CryptoMoonShotsSee Post

Saudi Bonk – Arabic version of Bonk | Launched yesterday – still early | Staking, AI, NFT, P2E game utilities | 0/0 tax | CMC & CG listings this week | Amazing marketing plan | 830k mcap | Team did 100M + MC project

r/CryptoCurrencySee Post

What Are Some Good Applications of Machine Learning and Big Data in Crypto Exchange?

r/CryptoMoonShotsSee Post

Chainback- Archive

r/BitcoinSee Post

Chances of Bitcoin Attack?

r/CryptoMoonShotsSee Post

Morpheus Network on par with POTUS initiatives

r/SatoshiStreetBetsSee Post

Why The Next Bull Run Will Be Led By Utility-Driven Projects?

r/CryptoMoonShotsSee Post

Clippy Makes a Comeback-Microsoft Revives The Iconic Screen Mate With AI

r/CryptoMoonShotsSee Post

Clippy Makes a comeback - Microsoft Revives The Iconic Screen Mate With AI

r/CryptoMoonShotsSee Post

Chippy Makes a Comeback - Microsoft Revives The Iconic Screen Mate With AI

r/CryptoMoonShotsSee Post

$MNW Continues Its Upswing With a 38% Rally – Where Is $MNW Headed?

r/CryptoMoonShotsSee Post

Morpheus.Network: Revolutionizing Supply Chains with Web3 Tech!

r/SatoshiStreetBetsSee Post

MINIMA (Ticker $WMINIMA. It is listed on coingecko.) A market and supply side analysis of a microcap gem.

r/CryptoMoonShotsSee Post

$MINIMA: Market and supply side analysis of a microcap gem.

r/SatoshiStreetBetsSee Post

$MINIMA: Market and supply side analysis of a Microcap gem.

r/CryptoMoonShotsSee Post

$ML Mintlayer, a BTC L2 microcap to watch.

r/SatoshiStreetBetsSee Post

Low and microcap gems to look at now that the crypto bullrun is kicking off.

r/CryptoMoonShotsSee Post

Why Morpheus.Network Looks Ready for a Bull Run To Over 5x Price Increase

r/CryptoMoonShotsSee Post

yPredict | Huge Hype & Community | World’s First “All-in-One” AI Ecosystem | Presale Is Live Now & Almost Filled | Great Entry Before Launch Soon

r/CryptoMoonShotsSee Post

yPredict | World’s First “All-in-One” AI Ecosystem | Specifically Built for Developers, Traders, Quants and Analysts | Presale Is Almost Filled | Last Chance To Join

r/CryptoMoonShotsSee Post

yPredict | World’s First “All-in-One” AI Ecosystem | Specifically Built for Developers, Traders, Quants and Analysts | Presale Is Live Now | Last Chance To Join

r/CryptoMoonShotsSee Post

yPredict | IDO | World’s First “All-in-One” AI Ecosystem | Specifically Built for Developers, Traders, Quants and Analysts | 27k Telegram | 22k Twitter | Presale Is Live Now | Last Chance To Join

r/CryptoMoonShotsSee Post

yPredict | Polygon IDO | World’s First “All-in-One” AI Ecosystem | Specifically Built for Developers, Traders, Quants and Analysts | 27k Telegram | 22k Twitter | Presale Is Live Now | Last Round

r/CryptoCurrencySee Post

The Algorand network is moving toward full decentralization with P2P gossip network without relay node requirement + concensus incentivization + algokit 2.0 to with full support for native Python to build smart-contract

r/BitcoinSee Post

Masters Dissertation Questionnaire on the impact of AI in Banking

r/BitcoinSee Post

ELIF - Why aren't ML and GNNs used to solve hashing in a Traveling Salesman Problem context?

r/CryptoMoonShotsSee Post

Ocean Protocol is Unlocking Data's Potential and Pioneering the Data Economy

r/CryptoCurrencySee Post

3.44x profit on BTC instead of -22% buy & hodl loss. 300% on various coins in 3 months. Welcome to VeroxAI.

r/CryptoCurrencySee Post

Imagine holding up a sign and receiving free bitcoin - These four people received dozens of bitcoins for simply holding up signs

r/CryptoMoonShotsSee Post

Unleashing the Power of AI in Farming: Join the Farm AI ($FAI) Revolution! Fair launch at 19th June.

r/CryptoCurrencySee Post

The Need for a Decentralized Risk Rating Agency in the Crypto

r/CryptoMoonShotsSee Post

Join the Farming Revolution: Farm AI ($FAI) - Reducing Costs, Maximizing Yields, Sustaining the Environment!

r/CryptoCurrencySee Post

What if we already permanently topped out and will never see a new ATH? Would you still participate?

r/CryptoCurrencySee Post

Binance Announces Exit from Canada, Citing Regulatory Tensions

r/CryptoCurrencySee Post

RWA Tokenization - Predict Dubai Real Estate Data with Web3 Machine Learning Models

r/CryptoCurrencySee Post

Giving a public talk about ML/AI how do I integrate crypto into this? Provide your perspective / insight / arguments.

r/CryptoCurrencySee Post

[Serious] I’ve read the complete Risk Assessment Report on Decentralized Finance Services. Here’s what you should know.

r/CryptoCurrencySee Post

Using Machine Learning To Forecast Bitcoin Price Movement (Up/Down)

r/SatoshiStreetBetsSee Post

MintLayer ($ML) Getting Listed on Gate.io, Are You Buying In?

r/CryptoCurrencySee Post

What is web3 (links and resources)

r/CryptoCurrencySee Post

In your opinion, which crypto trends are here to stay and which are passing fads?

r/SatoshiStreetBetsSee Post

Is Mintlayer going to be the project that puts Bitcoin DeFi on the map?

r/CryptoCurrencySee Post

FYEO Decentralized Identity now in Private Beta

r/CryptoMoonShotsSee Post

Mosdex Expands Arbitrage Trading Support

r/BitcoinSee Post

Just watched a movie called Crypto with Kurt Russell...

r/CryptoCurrencySee Post

Can cryptocurrency projects push AI forward to the next level?

r/CryptoCurrencySee Post

Update on C++ DataFrame fir data analysis

r/CryptoMarketsSee Post

ML libraries for predicting ETH price

r/CryptoCurrencySee Post

Building, optimizing and testing a Price Prediction trading algorithm for Bitcoin

r/BitcoinSee Post

Most Efficient way yo step up viable lightning payment channels

r/CryptoCurrencySee Post

In 2011, a person was paid 32BTC to just hold up the sign “Stop the FED! Use Bitcoin“ in public. He possibly ended up making $1.6M from this.

r/CryptoCurrenciesSee Post

Does Crypto Exchange Kraken Calculate a Wrong Trade Balance?

r/CryptoCurrencySee Post

Does Kraken expose its users to an increased risk of being liquidated?

r/CryptoCurrencySee Post

[INFORMATION] FINTRAC's VC Indicators for ML/TF Activity

r/CryptoCurrencySee Post

Introducing Web3 Antivirus - an autonomous Chrome extension with ML and human mind-powered algorithms behind

r/BitcoinSee Post

Buy Cloud Nine Liquid Incense 5ml

r/CryptoCurrencySee Post

USPTO(US patent and trademark office) Publishes the No Limit Technology Holdings, Inc patent application

r/CryptoCurrencySee Post

Drone Racing League Lands Partnership with Google Cloud and Launches 2022-23 DRL Algorand World Championship Season with Drone Racing in Silicon Valley, Miami, and the Metaverse

r/BitcoinSee Post

IGUVERSE

r/CryptoMarketsSee Post

When looking ahead at the future of work and the labor economy, new technology such as blockchain, AI and ML can play a crucial role in complementing existing freelance and gig marketplaces.

r/CryptoCurrencySee Post

Key Reasons Web 3.0 is Needed More than Ever in Africa

r/CryptoCurrencySee Post

Key Reasons Web 3.0 is Needed More than Ever in Africa

r/CryptoCurrencySee Post

Why hasn't Big Tech adopted crypto in a Big Way?

r/CryptoCurrencySee Post

In which use cases is it smart to apply Machine Learning & Distributed Ledger Tech together?

r/CryptoCurrencySee Post

Innovative m2e

r/CryptoMoonShotsSee Post

Welcome to Jokenomics Token

r/BitcoinSee Post

Question for the Plebs

r/CryptoCurrencySee Post

Fetch.ai - A sophisticated AI solution for data inefficiency.

r/CryptoMoonShotsSee Post

Fetch.ai - A sophisticated AI solution for data inefficiency.

r/BitcoinSee Post

ML:Adventure code 👨‍💻 || Miya code 👩‍💻 Natan code 👨‍💻 Alucard code 👨‍💻

r/CryptoCurrencySee Post

tokenizing a statement or a prediction thereafter

r/CryptoMoonShotsSee Post

Stabledoc Token - Move2Earn - CertiK

r/CryptoCurrenciesSee Post

College Students Build a $14 Million Crypto Trading Software... And Now They Are Shutting It Down.

r/CryptoMoonShotsSee Post

CryptoDesk ($CryptD) | Audited | KYC'd & Doxxed Dev | Multi-use P2E & NFT Ecosystem | Staking | Earn APY Rewards | Upcoming Presale on Dx.App | Low Hardcap of 200 BNB | Liquidity Locked 5 Years

r/CryptoMarketsSee Post

Why We Need Web 3.0 or Why the Web 3.0 matters

r/CryptoCurrencySee Post

Why We Need Web 3.0 or Why the Web 3.0 matters

r/BitcoinSee Post

Everyone says we need easy and cheap markets for non-KYC BTC... So I have done this.

r/BitcoinSee Post

Everyone says we need easy and cheap markets for non-KYC BTC... So I have done this.

r/CryptoCurrencySee Post

Genius Yield: The Yearn Finance of Cardano. Or something more?

r/CryptoCurrencySee Post

Genius Yield: The Yearn Finance of Cardano. Or something more?

r/CryptoCurrencySee Post

Genius Yield: The Yearn Finance of Cardano. Or something more?

r/CryptoMarketsSee Post

Sanity Preserver ML-Quant (Blogs, Podcasts, Papers, Videos etc.....)

r/CryptoCurrencySee Post

MultiVerse (AI) formerly known as Hadron. Frustration within.

r/CryptoCurrencySee Post

ErgoPad is developing some incredible infrastructure for Ergo, along with IDOs on Cardano, and you need to know about it...

r/CryptoCurrencySee Post

Problems in DAO working style/efficiency?

r/CryptoCurrencySee Post

Crypto scams on YouTube are getting more and more common and BLATANT. Here's how we, as a crypto community can fix it.

r/CryptoMoonShotsSee Post

🤴 Royal Corgi Index. 🔐 Liquidity Locked for 5 years. 300 ML Gold Bond Backup 4.5% Back to users. 71% Burned ✔️

r/CryptoMoonShotsSee Post

🤴 Royal Corgi Index. A digital currency for everyday people representing a major step forward in the adoption of cryptocurrency worldwide 💎

r/CryptoMoonShotsSee Post

TITLE = 馃ご Royal Corgi Index. A digital currency for everyday people representing a major step forward in the adoption of cryptocurrency worldwide 馃拵

r/CryptoMarketsSee Post

ML-Quant: A Deep Quantitative Research Dashboard

r/CryptoCurrencySee Post

The average person doesn't understand what "Seed Phrase" means, should we change it to something like "Don't Share Phrase"? Crypto's future is dependant on its ease of use -- UX

r/CryptoCurrencySee Post

Why banks need to die

r/CryptoMarketsSee Post

We made a platform, TradeApe.co that uses AI to analyze general market sentiments and make short term trade predictions

r/CryptoCurrencySee Post

SEC Risk and Recommendation section from their Stablecoin report released today

r/BitcoinSee Post

Mempool data dump for ML Projects

Mentions

A lot of stake is on the Natural Language Understanding capabilities of the said Model. How good is it? Could you elaborate on 'Logic-based AI' and exactly what it entails? Why'd Logic Based AI not pop up in other language understanding applications if it is clearly superior to the contemporary ML-based NLP approaches?

Mentions:#ML

1. Agoras is a token that will be fully and effectively controlled by its users. What do I mean by that? Projects in the world of blockchain claim to be decentralized but they all have a centralized development team so dev, and thus control is largely in the hands of a few rather than everyone. With Tau Net, (the platform $AGRS runs on) all development will be in control of its entire user base. Often when people say AI, they immediately think of ML based AI, there are many different types of AI. Tau Net and Agoras are based on advanced logic based AI which is able to do everything ML based can do but much more, such as giving logical proofs of correctness, enabling correct-by-construction software, collective intelligence etc. It effectively will allow users to describe software in logical sentences, and those sentences are executable in Tau's runtime so they will work as provably correct running software. Meaning that all of Tau Net's userbase will be Tau Net's developers. Users describe what they want the tokenomics should be and governance around how to change the tokenomics. Tau Net detects the agreed software and evolves the tokenomics block to block. 2. Locked token holders will be released after full Tau Net release. 3. We have not had to use any of these functions, we implement them incase our community desire us to use them and act solely based on the community's will. 4. Team are fully doxxed check the website: [Tau.net](https://Tau.net)

Mentions:#AGRS#ML

1. The project is in development, we're currently on the ETH blockchain and will move to our own mainnet. 2. The Tokenomics are unique as we work on decentralizing software development and give real control over the network to the users. I'll answer questions 2 & 3 simultaneously when I explain how everything works on Tau Net. We are building an advanced logical AI specification language which enables users to describe their desired software in logical sentences and the description itself is executable in Tau Net's runtime so the resulting software is provably correct according to the description. This feature enables all users to collaboratively build Tau Net collectively alongside the entire userbase. Tau Net detects where each user agrees and disagrees, while the users also define rules for the platforms governance, which are provably adhered to. Tau Net takes the agreed specification from its users, which works as software, and puts it's own next version into the next block in the blockchain. This allows users to collectively change the system from block to block. The tokenomics will be fully in control of its users. 3. This is logic based AI. When people talk about AI they usually refer to ML based AI, there are many types of AI out there. Our advanced logic based AI is able to everything machine learning can do, plus logic, so it's able to do reasoning, provide proofs of correctness and much more 4. TLDR: Tau logic based AI > All ML AI

Mentions:#ETH#ML

logical AI is never wrong, and that's exactly the main difference. however the limits for software and hardware are 1. users need to speak in a very specific language, so the machine can understand it precisely 2. it requires much more computational resources than ML

Mentions:#ML

This makes me think of Kahnemans Thinking Slow Thinking Fast. Would it be completely inaccurate to say ML is like thinking fast (but fallibly), and Tau is like thinking slow (but accurately)? Could it even result Tau and ML complementing each other like the thinking modes of humans?

Mentions:#ML

that's easy: chatgpt, for example, will do so many mistakes. ML can't do logic. but a logical engine is never wrong

Mentions:#ML

adding to that: Maybe two points are worth mentioning, both of them are relevant to logical AI in general and not only for Tau. One is complexity: logic is much more computationally intensive than ML. Second would be the field of applications: logic is all about the written word. It deals with sentences. ML can also deal with sentences, however in a way much inferior to logical engines. But ML can also deal with, say, pictures.

Mentions:#ML

1. Excellent questions first we need to talk about AI, there are man different types of AI. When people say AI, they're typically referring to ML based AI. We pioneer advanced logical AI. Logical AI is able to all the things machine learning AI is able to do, plus a whole heap of very important logical things, such as reasoning and being able to give a formal proof of absolute correctness etc, as you know Machine Learning gets things very incorrect sometimes and there's always a probability of incorrectness, to what degree depends on the model. Tau Net uses advanced logic based AI so that you're able to get 100% correct results according to your description. I'll explain an example. Say you describe software using Tau Net's logical AI sentences, well the description is also directly executable in Tau Net's runtime meaning that the description itself serves as software. Software of the future will look like a PDF description but will be entirely correct with proof. Further, on Tau Net, we have advantages of the software being able to refer to its own sentences, which bring me to your point of safeguarding: 2. As Tau Net has the feature of being able to refer to it's own sentences, users are able to implement rules of functionality which, for the first time in any software allows the creator to ensure undesired behaviour is rejected by the software itself. You have deep control over how updates are accepted into software in the development stage by using Tau’s complex rules and filters in what permissions are given to be able to contribute to any aspect of the software. Any update or tampering that does not comply with your embedded safety guidelines is automatically rejected by the software itself, providing an additional layer of security. Say you build the best robot in the world, with other programming languages, that software just needs to be updated for it to completely change into the worst software in the world. With Tau Language, these rules will reject even incoming updates to the system. This has never been achieved in software development in general until now. 3. We fundamentally change the concept of traditional testing. As I mentioned in my first point, all software developed using Tau Net is correct by construction according to the description, testing is no longer for bugs as each description is an executable specification, resulting in correct-by-correct by construction software. Testing is now ensuring your description is as desired. Traditional testing is obsolete. You just describe and if you want to make edits to the description, you make edits. The bugs come the description, not implementation now on Tau Net. 4. Yes, Tau Net is intended to exist across all platforms devices.

Mentions:#ML

What problems does Tau have that ML doesn't? There must be some?

Mentions:#ML

Welcome! I hope I am not late, this is really interesting topic and approach your team has taken with logic-based AI vs from my understanding ML based AIs like ChatGPT work the same as next word prediction on keyboard. > For instance, if the command "Never send private data over the network" is embedded, Tau Net will consistently honor this rule, automatically rejecting any future updates that contravene it. When using AI in dynamic systems, there are situations when system learns what parameter to take which produces errors later because it sticks to that initial parameter. Can similar happen in Tau Net? What if initial command needs changing? >On Tau Net, users are granted unprecedented control over the network. Tau Net provides an effective solution to the AI alignment problem by enabling users to define rules or embed regulations directly within its software. So my question can your AI encounter a *trolley problem* or it will just see it as tampering with the software and reject it? If not how would it deal with it? With simplicity being important for success eg ChatGPT got to 100m users in 2 months with simple to use interface. Do you see any challenges in this department?

Mentions:#ML

Depends on the purpose of mining. If you are building a neural network, you definitely don't want your trained machines to leave. That would defeat the entire purpose of training them unless it's altruistic and purposely done at an economic loss. It's like professors at a university paying to train students, only for the students to leave after 4 years. The only way this would work economically is if this isn't for AI or ML and that the subnet is just having their miners complete trapdoor functions (like in Proof of Work).

Mentions:#ML

How does logic based AI have a better understanding of things than ML AI, and how is logic based AI supposed to answer all of the things on the internet and more? What are the limits of the software and hardware. What if the logic based AI show wrong information?

Mentions:#ML

I dont get ur hate for bittensor, why would miners want to leave when there are incentives for them? U say miners can just leave the network if they want, but isnt the whole point of decentralisation to prevent any one point of attack? If 1 company that have 300 miners leaves bittensor, another 300 miners from different places will gladly replace them. Bittensor is built to be for survival of the fittest, any useless ML model for a quick cash grab is quickly faded out if no one uses it. Also, to be a participant in bittensor, you need ML knowledge to begin with, so not everyone can randomly join in, leaving those who know the true value of it to participate.

Mentions:#ML

If you have a good GPU maybe one of those Depin plays. If you have some coding / ML skills tao

Mentions:#GPU#ML

Actually it does...I can run 8000 million keys per second on my old mining rig with vanity search (c++/CUDA). I still would be lucky to get a private key in my lifetime odds wise. If you had the money and time you could easily build an ASIC which would be far more efficient, making the odds super low but not as impossible. The only hurdle would be the custom SHA-256 hashing cores optimized for brute-forcing operations. However thanks to ML there are tons of options for programmable cores.

Mentions:#SHA#ML

Find a crypto that specializes in language modeling. Only one does so and is applying to space biology, the likes of Open AI or any other large language model do not have the capabilities of doing so. Any other crypto proclaiming AI are not constructing language models which is the tip of the spear in AI/ML today.

Mentions:#ML

I’m trying to use examples to make it a little bit bit more clear But consider the problem, right You’re asking for a Solution to a really big problem set We’re not talking about trying to find one out of several trillion trillion So you have to have a way to derive a solution from a pretty complicated mathematical formula Or to potentially find a flaw in that mathematical formula that allows such problem-solving Q computing doesn’t even have a language yet that can properly load compile and resolve this kind of a large problem It’s basically an 8086 with 1 kB ram right now Now it can solve some pretty interesting problems even with that, but we’re able to do AI/ML faster. Then we can do quantum resolution at the moment. In short, we need more everything for quantum computing to start competing with what we already have with ML By that point engineers on every block chain would fork, and prevent such a move. The advantage quantum computing provides is a multi state storage and retrieval solution Consider the problem of understanding folding by proteins Traditional logic says that protein should fold the same way every time And yet it doesn’t and truthfully, we still don’t know why And the funny thing is within the quantum world. The protein can go to anyone of those states at any time. So why does it pick one state one time and a different state a different time? A quantum computer could probably tell us the answer to something like this, but that answer is still at least seven years away. So to go back to the original question how does the math work? Well, it’s complicated. And it’s complicated because we have not yet written that story. The compiler at least a good one has not been built and at the moment I’m not sure that we even know how to build one because there is so much that we still don’t know and that we are still discovering. Take a modern computer system and go back to 1976 Now try to explain every single component to engineer at that time And while you’re at it, explain to him what an ML model is To that engineer, it would sound like science fiction That’s literally where we at today with quantum computers

Mentions:#ML

That and others like ORDI, ORDS, ML and CKB

You just haven't read enough posts and comments. People talk about this all the time. The general consensus here is that it's totally OK to sell a small amount to cover emergency expenses, a down payment on a house, medical bills or even the full mortgage. I've actually never heard of anyone who sold it all here. What usually frowned upon is to try to time the market, aka "sell at the top" to "buy back at the bottom", because most of the time that usually ends up in losing more money than if you just kept DCAing or hodling. It is incredibly difficult to perform due to the fact that you are working against highly trained professionals and ML algorithms running on millions of dollars worth of hardware. Plus, as number goes up, you never know if it'll ever come back down to this number, so you're just selling now to buy later at a higher price and end up with less coin. The saying goes: "Time in the market beats timing the market". Noobs typically don't listen to this advice, try to time it a few time, lose money, then wizen up.

Mentions:#ML

C'mon guys, their days are gone now! We are 2024, the age od IoT , ML, AI and Bitcoin. Stop bringing up faces from the Industrial revolution.

Mentions:#ML

I definitely have a nice bag of STX I've been holding for a year now. It has performed great. My absolute best performing BTC L2 has been ML. Made some huge gains on that one. I searched for LBIT on gecko and CMC and couldn't find it. Want to redpill me on that?

Mentions:#STX#BTC#ML

SQT, LCX, ML (MiltLayer)

Mentions:#LCX#ML

>ML needs very fast memory on very fast computers with very many cores and a lot of data (fast!). Blockchain doesn't help at all. The actual machine learning is not done on the blockchain. It's just a way to rent out GPU power and use the blockchain to do your administration and rent out the power. The GPU's have to do a bit of mining so they can't cheat but this is seperate from them actually doing the machine learning. So you got it completely wrong.

Mentions:#ML

How do I find coins that haven't gone up like 20X already? It seems like it's too late at this point, right? ML would have been an amazing buy 3 months ago.... I wish I could find a similar coin that hasn't exploded yet.

Mentions:#ML
r/BitcoinSee Comment

OK, it's application-specific. I bought into the first page of google search. However, the miners can just sell the ASICs and lend the available electricity and buildings to whoever does the ML.

Mentions:#ML
r/BitcoinSee Comment

This is the point where, as a reader, I have had my laugh and now it’s just painful to watch. The A and S in ASIC stand for ***Application Specific***. Bitcoin mining ASICs are specifically designed for one single application: calculate SHA-256 hashes. ML applications do not have a need to calculate SHA-256 hashes on the computational level available in the Bitcoin mining system. You can’t reprogram an ASIC to do something else. If you want an ASIC to do something else, you design it, you don’t (and can’t) repurpose a ASIC designed for something else. Thus the hardware currently used for cryptocurrency mining will never be able to be used for AI/ML/DL computation unless there is some very odd application in that space that suddenly needs a massive number of SHA-256 hashes calculated (hint: there isn’t).

Mentions:#SHA#ML

It runs decentralised AI and ML for logistics and finance applications. RNDR has better use case as AI workloads are less intensive than graphics, and render does both and already has major partnerships and customers. Got both, and INJ also worth looking at in this segment.

Mentions:#ML#RNDR#INJ
r/BitcoinSee Comment

> My research shows that ASICs can be used to solve ML tasks Liar

Mentions:#ML

Yeah. Just speak with any seasoned AI/ML Engineer. So many now say that the suits are suddenly LLM/GenAI experts and ask using it for the dumbest things. So e of my friends in this space want to go back to their previous research that they were working on prior to the LLM boom. AI as a tool is great but it’s known for very long AI winters and this summer will end soon. When guys in suits are suddenly experts I’d be worried.

Mentions:#ML
r/BitcoinSee Comment

Chiefs ML

Mentions:#ML

> They're just NOW starting to touch the genre What a strange thing to say about a company that started including a “Neural Engine” in their processors in 2017 (meaning work on that started at least a decade ago). It’s highly-specialized and expensive hardware meant entirely for accelerating ML/“AI” workloads. As for OP’s question, there’s no chance Apple ever holds any bitcoin assets or adds any sort of support within Apple Pay. It’s fiscally irresponsible and counter to their environmental goals.

Mentions:#ML#OP

Interesting, is this a viable topic for a thesis in computer engineering? If so you're lucky, I wasn't allowed to do investment related stuff even if it was in relation to bitcoin! You could use fixed percentages of profit where you sell certain portions of the accumulated btc. You could survey people here on the percentage levels they plan on next cycle and extrapolate backwards. I'd also recommend testing the indicator from αlphasquared. It's using ML to source data market data and estimates the btc risk. It's used to DCA in and out, sounds like something fitting your paper. They have a backtesting tool already but I'm sure you can do your own. You can benchmark everything against a Lump sum strategy as well. I had a few ideas for the paper I wasn't allowed to write so feel free to DM!

Mentions:#ML#DCA

You cant move from ML to Fidelity if its your retirement account right?

Mentions:#ML

SEC case was 2020. XRP was delisted from most exchanges. You absolutely can blame most of the lack of price action from the SEC case. Where were you even going to buy XRP, Uphold? Yes, Uphold, where you could buy $2,500/day…. Why should XRP stay at $.90 or pump well beyond $.60 right now? The trial with the SEC is set for April. Speaking with Ripple Employees, they’ll tell you the SEC case will be done with by end of the year. “You don’t see people getting hyped on XRP”. Cool. That’s the beautiful thing, I don’t know how much it matters if you or many retail investors get excited about XRP. I consult global operations. Ripple Labs is a 1,200 employee enterprise, growing at 5%+ FTE growth per year. They have revenue and can use XRP to continue M&A activity to scale further. They are an enterprise grade crypto company. If BTC and ETH are the largest two by market cap, Ripple Labs is #1 by headcount and overall ability to execute at an enterprise level. Most consumers will understand video games, and other use cases. Retail traders can get hype on AI/ML, etc. At no point in your post did I see anything that I would consider relevant information into going into an investment hypothesis. Just hearsay, speculation, and naivety. If I were invested in Ripple Labs’ XRP token, I would stick to reviewing things like GTM strategies, which were announced at their global “Swell” event. I’d review revenue numbers, customer count, M&A activity, etc. But you got a feeling huh? If you have an actual counter thesis, that would be interesting to read. Post that when you get time

r/CryptoCurrencySee Comment

Pull your cash for ML and buy Bitcoin on Cashapp and tranfer it to a cold wallet eventually

Mentions:#ML

I did really good on $ML. But I sold a third of my bag after only 5x. I had 120k ML I purchased at $.025. Still have alot but I wish I hadn't sold any. I did really well with $IRON too. Not quite as good but still really well. Check my new post: low cap gems pt. 2. I will do part 3 next month. I'm still building positions in the part 3 gems. I have my stack of $CELL already so I can drop that one for you.

Mentions:#ML#IRON#CELL
r/SatoshiStreetBetsSee Comment

OP must have made a killing on $ML, nicely spot. Too bad I only found this post now.. Got any more of those low cap gems?

Mentions:#OP#ML
r/BitcoinSee Comment

Yes, because ML, quantum and AI are magic tools and FBI is just waiting for the right moment. Also DeFi and you can guess Satoshi's private key because there are a finite number of possibilities. I am sure you have no clue about ML, AI, quantum computing or Bitcoin's technicalities but here you are asking questions as if you have an idea.

Mentions:#ML
r/BitcoinSee Comment

AI does not exist. LLMs don't "think" and are not "intelligent." ML and AI can't "hack bitcoins network" or "break the blockchain somehow."

Mentions:#ML
r/BitcoinSee Comment

Why do you think it hasn't been tried? What's ML? QC and AI don't exist yet.

Mentions:#ML

I'm not certain about ML, but I do know that KAS is performing exceptionally well, a price I didn't expect. Hopefully, PEAQ will follow suit, matching or even surpassing KREST, given its growing ecosystem. Looking forward to developments later this year.

Mentions:#ML#KAS#KREST

For sure. I had some huge profits on $ML and $KAS

Mentions:#ML#KAS
r/BitcoinSee Comment

This pales in comparison to what's coming from AI/ML growth and no one seems to give a shit about that 🤷

Mentions:#ML
r/CryptoCurrencySee Comment

It's an ML Algorithm that classifies btc price into a risk score from 0-100. 0 is bear market bottom and 100 is a bulltop. Based on that you can build a DCA in- or out-strategy. The metric was showing 0-5 risk between 15-20k at the recent bottom, so safe to say it worked perfectly. Can't wait to DCA out. I'll start selling chunks as soon as we hit 75 risk and upwards.

Mentions:#ML#DCA

I definitely have a bag of ICP I bought near the bottom. I have been stoked about the performance lately. This is a thread about microcaps though, which I have had my best gains in. Im looking for the next KAS or ML.

Mentions:#ICP#KAS#ML
r/CryptoCurrencySee Comment

Admittedly the models or training state itself existing on a Blockchain is fairly useless, what I am talking about is splitting training/inference up to allow partial distributed training on old/consumer hardware, e.g. 1GB VRAM, and then earning "mining rewards" for providing that fraction of idle GPU power accordingly. It's less about utilising Blockchain technology directly and more about using it as a reward/distribution system of a cryptocurrency token instead. I think we have had cryptocurrency mature for long enough now to realise not everything has to be on chain to be useful. Economising GPUs for ML is more useful than 95% of cryptocurrency projects and chains available today right? Rewarded for loaning GPU power, and if you want to utilise the network for training/inference it costs the reward token in payment to do so. Supply and demand, and decentralised GPU compute. Perhaps all too pie in the sky today but this will happen at some stage whether it's a good idea or not

Mentions:#ML
r/CryptoCurrencySee Comment

I've the same background as you, got pulled into the blockchain stuff through some talks about AI by someone not necessarily working with blockchain in the first place. Was a talk with Dawn Song on Lex Fridman podcast. One of his earlierst guests, when the podcast was mostly just about AI with 'unknown' scientists. So why AI + blockchain? Its due to the ability to access data otherwise not accessible for models. The combination of TEEs + blockchain allows for the ability to let your ML models work with data without ever seeing the exact data used or being able to see the solution of it. Examples are how Instagram started using this combination around 1-2 years ago, to calculate racial bias of users without themselves having access to the users race. Probably too late to the party for you to actually read this reply, but you'll never know.

Mentions:#ML
r/CryptoCurrencySee Comment

IMO it's 90% buzzwords. AFAIK most AI/ML-related web3 projects are focused on settling transactions for cloud services and datasets, or coordinating governance and other functions related to code, data and protocols. I know nothing about markets but I DAO with a couple investors in the space and they don't seem to be too hyped up about AI. They *do* seem interested in the power of genAI to improve the effectiveness of web3 and blockchain projects, particularly in decentralized workgroups where coordination challenges can severely effect overall org competency.

Mentions:#IMO#ML#DAO
r/CryptoCurrencySee Comment

AI's potential in crypto is real, not just hype!Imagine decentralized AI networks and advanced ML algorithms securing and optimizing blockchains.Now THAT'S a bullrun worth cheering for!

Mentions:#ML
r/CryptoCurrencySee Comment

At current prices I’d avoid anything that’s done major multipliers and also avoid multi billion market caps (so no solana, rose, near or link even though I think they will all do well) For me : $OCEAN - meets the AI and Big Data narratives and hasn’t pumped too much yet $AZERO - a layer 1 blockchain with the speed of Solana (arguably faster) and the privacy of Oasis($ROSE) - still without 2x of the bottom it’s a good buy here imho $STG - the flagship project of Layer 0 - the up and coming multi chain infrastructure project - still a low market cap $TRAC - Origin Trail is one of the strongest IRL projects with a ton of customers, partners and use cases - also covers the AI narrative $VXV - An AI project with a tiny market cap and some big name projects and partners IRL $ML - MintLayer is a layer 2 chain for BTC (which it desperately needs) - if we’re ever going to see defi on BTC this is how it’ll happen Disclaimer- I hold these coins, and although they’re some of the “lower” risk ones, this it still crypto so DYOR and only play with small money

r/CryptoCurrencySee Comment

I have developed a ML system that trades with a profit in a highly secure environment, and I prefer to keep it private. However, drawing from my extensive experience in machine learning, I can provide insights into your methodology. Your current approach tends to yield machine learning agents with unpredictable performance: many may perform poorly, while a few might achieve success by chance. The system effectively identifies those that perform well on the validation dataset. However, when these agents are deployed for real-time trading, their performance often collapses. This is primarily because the system isn't distinguishing between agents that genuinely recognize generalized patterns and those that merely show random, temporary efficacy.

Mentions:#ML
r/CryptoCurrencySee Comment

\> How would anything be confidential on a public ledger? It's the basis of FHE, which while full implementation is still a bit far away, you can do quite some advanced stuff with ZK nowadays. Zcash allows for shielded transactions already to a certain level. Newer protocols like Mina, Aztec, Penumbra, Manta, Anoma, are working towards something more nuanced. We are talking about teams full of MIT level phDs here. The second captcha would go into that, you can also search into ZK ML. \>So by solving a captcha? Scan Iris Like world coin? World coin uses this technology actually, yes. They use ZKML for part of the p\[protocol for instance. Still there are protocols that use simpler stuff like Kilt protocol, working with companies like Delloite and European Commision, zCloak, Sismo with ZK attestations, etc.

Mentions:#ML
r/BitcoinSee Comment

I am far more pessimistic than you regarding AGI. I do think we’ll see enormous strides in AI / ML over the next decades but I think many many people (including experts) underestimate what a true AGI requires.

Mentions:#AGI#ML

I rather go with new projects like BTCMTX. I'm missing other upcoming projects like YPRED (quality ecosystem for AI and ML to apply predictive models to technical analysis) and ADE (Weaver Labs\` token that fuels their CellNet, the first Web3 platform for Telecom).

Mentions:#ML
r/CryptoCurrencySee Comment

Used to hear chatter all the time about ML and now nothing anymore.

Mentions:#ML
r/CryptoCurrencySee Comment

Great comment I'd also add on his "villify" point... they did commit crimes though so it's not like you need to villify anyone. They did it themselves and that's something so many here seem to miss. FTX was in debt to itself over its use of customer funds, that is so god damn risky and illegal. Binance had no ML&Sanctions controls, that is so god damn illegal and risky.

Mentions:#FTX#ML
r/CryptoCurrencySee Comment

Dont engage (like i am rn so I'm a bad example). Use code, bots, ML, webscraping. Those 3 "buzzwords" are all you need. That and api's. Now its for you to google.

Mentions:#ML
r/BitcoinSee Comment

Doesn't look like it's a shitcoin. From reading the front page OP linked, it looks like it's an ETF investing in "climate change" grifting stocks and commodities, which is going to use AI/ML to balance the portfolio. Steve Wozniak did something similar a couple of years ago, only he was going to allow it to trade via a "coin", so maybe this does something like that. Either way, it has nothing to do with bitcoin or even "crypto". It's just another ESG grift.

r/CryptoCurrencySee Comment

Filecoin hodler here. > I do predict that data storage is going up in the world I can't see any other way out. Many companies are advancing hard on big data, cloud storage, AI, ML, edge computing... Depin projects can greatly benefit from this. > (FIL) is a decentralized file storage and sharing network that leverages the power of blockchain to store files Yeah, users can rent their unused storage space. Very practical to leverage blockchain. I'm not an IPFS specialist, but I know it operates on a distributed network which reduces the risk of failures. > so projects with more hype have taken the spotlight away from Filecoin!!.. but what are your thoughts?? In the file storage, I'd point to Filecoin and Arweave as top picks. Outside file storage, projects like Helium, Wifi, Weaver Labs, Graph, and Iota can thrive. Take some time to understand what are they building.

Mentions:#ML#FIL
r/BitcoinSee Comment

Do you have evidence to back-up that certain patterns reflect people’s behavior based on psychology, or are you just going based on a Youtuber telling you to trust them? If those patterns exist and can predict future price, then an ML model should be able to find them. And pre-2018 ish, ML models were very effective at finding patterns based on price action. But with the saturation of ML models and deep learning, the presence of trading algos based on those models have eviscerated the prediction signal in price action alone.

Mentions:#ML
r/CryptoCurrencySee Comment

For those of us in the space they were well known as a provider of BI tools. It's crazy that they decided to go gambling with crypto rather than invest in ML, AI etc that every enterprise is craving right now. I have no idea how the board approved this or why they are still pursuing this. Because nothing against crypto but it has nothing to do with BI or Data Analytics.

Mentions:#ML
r/CryptoCurrencySee Comment

guys do you even know what it means to train large ML models in a distributed fashion?

Mentions:#ML
r/CryptoCurrencySee Comment

Dude if you ever did any ML dev you would know it's not feasible with computational throughput to perform any meaningful training tasks. It's $ICP bs again and likely will end up similarly >> You haven’t used it have you? So you’re just judging without even using it. Have you? I dare you to build a model using this trash chain

Mentions:#ML#ICP
r/CryptoCurrencySee Comment

Tbh i like it but cant buy it in the us. But i do think its overly hyped atm. Its too complicated to understand as well. I dont have a technical background so thats all i can say there. Not sure if ML and crypto can work together though. Would love to know everyone else’s thoughts!

Mentions:#ML
r/CryptoCurrencySee Comment

Machine learning and blockchain don't go together, they'll never get married. ML needs very fast memory on very fast computers with very many cores and a lot of data (fast!). Blockchain doesn't help at all. Always ask yourself if a problem needs decentralization, trust, and security, then it's probably a match for a blockchain. They are trying to use the current AI hype to pump a useless token.

Mentions:#ML
r/BitcoinSee Comment

> not believe in individuals owning private property, unlike Marxism-Leninism. That's patently false, for starters. There's no problem or argument against individuals owning personal private property anywhere inherent in Socialist principles. Secondly, I didn't advocate for ML and it's far from the only game in town when it comes to Socialist philosophy. Many of us believe, for example, that statelessness is a *prerequisite* for it, rather than an end goal.

Mentions:#ML
r/BitcoinSee Comment

Decentralized currency, whether Bitcoin or otherwise, is a natural choice for autonomous AI bots as an alternative to traditional payment gateways. Setup/teardown can be performed instantly and in an automated fashion vs. getting a bank account set up, merchant services, etc. Not to mention the fees are exponentially lower. Even regardless of AI, decentralized currencies make a lot of sense for automated systems in general. I'm not sure I agree with OP's estimation that AI will soon become more intelligent than us, I think we will need another major milestone in ML architecture, like we had with the transformer, before this becomes even a remote possibility.

Mentions:#OP#ML
r/CryptoCurrencySee Comment

Dog, Just imagine how much unnecessary processing costs the blockchain adds to ML without bringing much value. What would the value be? Decentralized AI that costs too much money to update and maintain? Just use the cloud.

Mentions:#ML
r/CryptoCurrencySee Comment

Dog, Just imagine how much unnecessary processing costs the blockchain adds to ML without bringing much value. What would the value be? Decentralized AI that costs too much money to update and maintain? Just use the cloud.

Mentions:#ML
r/CryptoCurrencySee Comment

AI and cryptocurrency as technologies have nothing to do with each other, and often even have competing resource requirements. The closest you might plausibly suggest is using ML to do crypto trading, but if you made something like that that actually worked why on earth would you share it with anyone else?

Mentions:#ML
r/CryptoCurrencySee Comment

tldr; Render Network (RNDR) is migrating to Solana, a blockchain known for its efficiency and high transaction speeds. RNDR announced a comprehensive incentive program for node maintainers, highlighting its dedication to innovation and serving its community. The move to Solana promises enhanced scalability and speed, crucial for AI and crypto operations. The incentive program aims to attract node operators to join RNDR and share computational capacity for AI and ML research. The program includes a substantial financial commitment of 1.14 million RNDR tokens. These strategic moves demonstrate RNDR's commitment to innovation and growth in the AI and blockchain landscape. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.

Mentions:#RNDR#ML#DYOR
r/CryptoCurrencySee Comment

Sure, don’t get me wrong, art and auctions are the go-to for ML, even at a higher level. But still

Mentions:#ML
r/BitcoinSee Comment

This complaint has nothing to do with bitcoin or crypto. I'm trying to transfer my own money from one account to another, esp one I have used before, in completely the tradfi space. There is no new space here, but the fraud prevention nonsense is only getting more and more incompetent which is counterintuitive considering the strides AI/ML are supposed to be making.

Mentions:#ML
r/BitcoinSee Comment

depending on your long strategy, this beats many ML algorithms. The crux to any investment is a lack of prepared time to execute a given trade. This is where Wall St. fatigues itself readily.

Mentions:#ML
r/BitcoinSee Comment

You will probably find the best info on their website. Basically it uses ML to analyze tons of market factors and boils it down to a risk score. When the risk is lower, I am comfortable to DCA more, when the risk is higher I convert a little bit back to fiat to DCA back in later. Used it for about a year and works well so far for me at least, accumulated more than I would have done without it.

Mentions:#ML#DCA
r/CryptoCurrencySee Comment

That’s actually my point. They are scanning the data to check which data is sensitive with algorithms. And those produce data again, which may then be gathered by the government. This data then may filtered and categorized. So in this context, fully homeopathic encryption may backfire hard and just swinging around with word like AI and ML is just marketing slang for trust as bro !

Mentions:#ML
r/CryptoCurrencySee Comment

They use AI and ML do secure the sensitive data of the students. Sounds like a marketing text for me. Just encrypt everything, where in this case would ML and AI help to secure sensitive data ? Are we checking first which data is sensitive? Seems like a lot of smoke for a really small fire

Mentions:#ML
r/CryptoCurrencySee Comment

AI/ML has had tons of use cases for a long time, the current hype is more about LLMs and similar. E.g. text-to-speech/speech-to-text, computer vision, most real time video filters, song and text detection, machine translation, all that stuff has used machine learning for ages.

Mentions:#ML
r/CryptoCurrencySee Comment

![gif](giphy|ML0FJK7PtxC4V7sjnZ)

Mentions:#ML
r/BitcoinSee Comment

>u/Peach-555 yes it did! I told someone else further down I think but I'm a bit into ML so I found it being discussed on a ML subreddit, got on the private waiting list, and then they made it public in early 2022 i think. Back then it was called moonindex haha :)

Mentions:#ML
r/CryptoCurrencySee Comment

$VRA has AI and ML innit, so must be a winner. Not another goofy ERC-20 at all.

Mentions:#VRA#ML
r/CryptoCurrencySee Comment

This sub doesn't want to hear it, but lots of corporations already dumped tons of developer resources and money on finding use cases - and ultimately had little to show for it. Even VC money has largely moved on to AI/ML hype.

Mentions:#VC#ML
r/CryptoCurrencySee Comment

Coinbase is happy to lie to get their way, they have zero incentive to be honest about this lol But yeah, I guarantee you the SEC isn't costing the US millions of jobs, and VC interest in crypto has dropped off a cliff everywhere not just the US (because they've moved on to AI/ML hype).

Mentions:#SEC#VC#ML
r/CryptoCurrencySee Comment

tldr; Kasikornbank (KBank), the second-largest bank in Thailand, has launched a $100 million fund called KXVC to invest in artificial intelligence (AI), Web3, and Deep Tech startups in the Asia-Pacific region. The fund will focus on consumer-focused AI, cybersecurity, AI/ML tools, and problem-specific AI startups. KBank plans to invest in over 30 startups and funds globally, with a focus on the United States, European Union, Israel, and APAC. This move follows KBank's previous ventures into decentralized finance (DeFi) and blockchain-based B2B solutions. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR.

Mentions:#ML#DYOR
r/CryptoCurrencySee Comment

This does make a lot of sense. You run an AI farm with 1000s of GPUs. A customer pays $20 to lease 300 of them to generate art. At the end of the month the customer files a chargeback with Visa, and now the AI farm is out that money but also out their GPU time. The service was delivered in real time, settlement should be in near-real time as well for this to work. Even people who hate crypto can't disagree that it provides settlement assurances. None of that 'net 30/60/90' bullshit in the Trad world makes any sense when paying for any AI/LLM/ML.

Mentions:#ML
r/BitcoinSee Comment

Not one question about Bitcoin. It's all about AI/ML, and banking regulation. My answer to all the questions: Corporate banking can go to Hell.

Mentions:#ML
r/CryptoCurrencySee Comment

> in theory at least, result in an increase to the price. Why? Supply means coins that people are interested in selling at a given price, not just newly minted coins (that a miner may not even sell right away either). And when supply goes down, that doesn't mean price goes up unless demand is fixed or increases independently. Where is the demand supposed to come from? VC interest is lower than it's been in 7+ years and falling as they've moved on to AI/ML, most consumers have heard of it by now and already made up their mind, and high interest rates discourage speculative investments (interest rates were low during all previous runs).

Mentions:#VC#ML
r/CryptoMoonShotsSee Comment

The fact that you said 'AI and ML' shows you're just a crypto tard lol.

Mentions:#ML
r/CryptoCurrencySee Comment

Why would price go up if most people want nothing to do with it? Especially as speculative investment drops significantly as interest rates go up - cryptocurrency has never before had an environment with high interest rates. VC investment is also way, way down even compared to past bear "cycles". They're all moving on to AI/ML.

Mentions:#VC#ML
r/CryptoCurrencySee Comment

Even not taking into consideration other important aspects - if you believe a linear model is well suited for this type of problem you should reconsider both your ML knowledge and Finance logic. And why don't you use models that are suited for this kind of problem? Like ARIMA, SARIMA, PROPHET? Finally, did you at some point randomize test and train data? (Splitting randomly data)?

Mentions:#ML
r/CryptoCurrencySee Comment

Who is going to take an NFT as collateral without verifying that the actual asset actually exists? Also avoiding AML seems like a perfect way to ML

Mentions:#ML
r/CryptoCurrencySee Comment

Yea, that is why I asked for them to lay it out. People see big $ + “crypto” novel and just shout money laundering. This would be one of the dumbest ways to ML ever, that t shirt collection is a one of a kind item getting media attention lol.

Mentions:#ML
r/CryptoCurrencySee Comment

>More than 30% of respondents claimed that using AI and ML has increased their annual revenue by more than 10%, while over 25% of the surveyees stated that AI has helped them reduce their annual working costs by more than 10% This probably means that companies fired some people already. So it is about: \- better data processing with their tools and machine-learning \- systems are enhancing their security (in the same way AI could be potentionally used to actually breach that security, but ok) \-solving the issue of liquidity fragmentation (I honestly have no idea if this could work, then the price starts dumping, I don't think that AI can save it)

Mentions:#ML
r/CryptoCurrencySee Comment

tldr; Artificial intelligence (AI) and machine learning (ML) are increasingly being used in the financial sector, with over 75% of companies in the industry applying these technologies to optimize their operations. AI has helped financial firms improve prediction models, increase annual revenue, and reduce working costs. ML-based tools are being used to analyze risk and predict short-term price movements in cryptocurrency trading. AI-enabled platforms also enhance security capabilities by providing real-time threat feeds and detecting attacks. AI can address liquidity issues in the crypto market by predicting digital asset order book prices and enhancing liquidity reserves. Sentiment analysis powered by AI allows businesses to understand customer sentiments in real time and personalize marketing efforts. These technologies have the potential to reshape global finance and should be utilized by major financial institutions. *This summary is auto generated by a bot and not meant to replace reading the original article. As always, DYOR. Try our free crypto chatbot at https://chat.coinfeeds.io*

Mentions:#ML#DYOR
r/CryptoCurrencySee Comment

Because it was never about the tech, and anyone who claims it is is either a liar or very naive. The only reason 99.9% of people put money in this is because they think line go up and can sell it to someone else for more later. But that someone else is just someone doing the same thing you did. You no longer have cheap money from low interest rates - unlike any prior point in cryptocurrency history. The economic situation is very different now compared to the previous decade. You have a dwindling pool of new potential users - hard to get much more mainstream than Superbowl ads, and most people now see it as a scam or have more important things to spend money on. VC investment is rapidly drying up because they've realized AI/ML has more plausible use cases. Etc.

Mentions:#VC#ML
r/CryptoCurrencySee Comment

CC Daily Thread Comment Count Day|Count :--|:--| Aug 22|7906| Aug 23|7985 Aug 24|7031 Aug 25|7529 Aug 26|6559 Aug 27|6577 Aug 28|5417   Month|Count :--|:--| June|60477 July|92776 Aug|178944   * The 30 day average for comments is currently sitting at 6179 and is the highest average we've had in over a year. This is now the longest sustained growth period in the last year, surpassing April. * See [here](https://i.imgur.com/J1ML2mM.png) for a broader overview. * Also, new [community tool](https://www.reddit.com/comments/15wtpyg) I made now available to help maximize Moon earnings before the upcoming snapshot. Happy farming 🌕✨️

Mentions:#CC#ML
r/CryptoCurrencySee Comment

same reason guns are legal, monero doesn't focus on money laundering services, it focuses on privacy, ML just a "side effect", a pretty big one lol

Mentions:#ML
r/CryptoCurrencySee Comment

I think the ones who are providing cloud GPU services for ML and AI stuff will do well. That's why I've been looking at Akash and Cudos recently.

Mentions:#ML
r/CryptoCurrencySee Comment

> Crypto isn't going away unless something even more exotic and amazing comes along. It already did, why do you think the VC money all moved to AI/ML again?

Mentions:#VC#ML
r/CryptoCurrencySee Comment

Technologies fail too. A better example from the 80s would be "what if expert systems don't take off?" (spoiler: they did not). The closest thing to them that became actually useful was the AI/ML booms of the 2010s and today, but the underlying technology is completely different - a bit like comparing a horse-drawn carriage to a bullet train and saying they're both methods of transportation.

Mentions:#ML