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1. Past performance cannot guarantee future returns. There are no guarantees. If you need a guarantee then turn off your rig and leave the mining to the rest of us who enjoy life. 2. Those trillions are coming from state backstops. You really need to pay attention to what's going on around you. You have removed by definition the answer to your concerns. The purpose of Bitcoin is to replace civil government as we know it, and the next step of this is to replace (either partially or completely) gold as a store of value and fiat as a tool of central bank manipulation. At the moment state actors are realizing they need to accumulate Bitcoin or perish, hence they will become the backstops needed. 3. You are making the argument, you make the math. How many exahashes on the planet are available outside the Bitcoin network to mount a 51% attack? 4. You're making the argument without looking into the history of this argument when it has been made before. If you want to make a serious argument you need to include citations and sources for the answers from previous years and why those are insufficient. Also you are using a LLM to model your comments which I find quite boring since I'm working with real human hands and thought. Good day.
Came here to ask that. According to an LLM it's a thing called LNURL-pay. If I understand correctly you scan an URL and the wallet then asks the server how much is owed. Then you confirm, the wallet asks the server for an actual invoice and then it pays the invoice.
Using web 2 for the immenent Ai industrial revolution is short sighted. its clunky centralized and easily hackable. With ICP they utilize internet identity, and Ai on chain impervious to hacks. I'm not speaking about private keys but entire LLM's running on chain streamlined on the World Computer's protocol, ICP. There is no other option if you want Ai to reach potential.
It can run a small LLM model, though. That's cool too.
A diversified portfolio from 10yrs ago also include ETF's such as MSCI MOEX (-100%), Emerging Markets, Property Yields. Not just growth stocks as in the SNP500. Thereby one would be DCA-ing over that timeframe, not lump sump in at exactly 10 years ago. Thereby CPI isn't necessarily equal to inflation. Your counter arguments aren't false, but don't make much sense either. DYOR. Ask your LLM to challenge yourselves.
Lol how? You guys need to ask an LLM how the US Federal Reserve works. He can't fire him. He would have to sue him and prove in court he did something that warrants him getting removed from the position as Fed Chairman. Let's say "Chairman Pao" 😂😂gets replaced, it doesn't matter. The chairman is a messenger on behalf of the DECENTRALIZED Federal Reserve. Ain't decentralization awesome!
Everyone has failed to tell you the name of this mechanic: leverage. Now you can go wild with your fav LLM to learn more
You have the link up :D Just didn't want to throw anything which is hard to use/do not work. I am not prograimst itselft but done some work with js/node before and with some LLM help I was able to create something cool for me and just want to share it :D
Yes, you're still early to get in on a self evolving blockchain developed not by a centralized team but all its users. An AI chain that uses logical AI based on advanced boolian algebra instead of an LLM. An AI capable of reasoning and detecting conflicting information to obtain a consensus of what its users want so the next block contains that information. A project that recently released the computer language used to create this new system that includes formal verification in its code so the only output can be 100% guaranteed correct by construction. Not only that, they were just granted a US patent on their method and system for arbitrary attestation to anonymous Internet users. But wait there's more! Their test net is currently being built and will be available this year. Tau.Net
So you said you audited it, but you really asked an LLM to audit it for you?
There **has** to be a way we can use that processing power in a more productive way. Like "try folding this protein these 1024 different ways, let us compare these results with the results of 4 other random nodes, and if you all agree, the network will give you 16 hashes to try to mine a block out of", something like that. Scientists (protein folding, LLM training, etc) could literally pay the network for the processing work, and that income could be distributed to the miners... Is there a reason (outside of "nobody has done this yet") why that's not a good idea?
If we wanted to know what an LLM thinks we would've asked it ourselves.
It does. If you're too lazy to read, run the text through your fav LLM, then ask it like you ask me. On whatever.
You really should google about the bitcoin rollback. And yes it’s semantics but it makes an important distinction since a rollback involves reversing every transaction at the point of rollback which was what happened with bitcoin. > https://news.bitcoin.com/bitcoin-history-part-10-the-184-billion-btc-bug/ Ethereum’s irregular state change only affected the dao hacker. Go ahead and google or ask your favourite LLM. Ethereum classic was forked as a result of this decision.
Web3 is dead and was just a load of mumbo-jumbo to pump crypto prices. This post is just some garbage from an LLM.
Ask your favorite LLM about logarithms
I mean I dont get it, is this a bad thing? I looked into lending my GPU for LLM inferencing a few months ago and it wasnt too bad. Id gladly do it for $200 lmao
> fully trust-minimized LLM inference on-chain I never really understood its big appeal. I get the marketing, i.e., censorship-resistant inference. But how big is that market, especially when so many Web 2 are producing similar LLM products? Grok may end up censoring what Elon doesn't like, but there are still other LLM apps outside of Elon's control. Also, if we can get two or more censorship-resistance LLMs, what is the marginal use case for building more of them? To me, monetizing AI profitability is not even clear in Web 2, never mind Web 3.
That’s a fair take, real adoption speaks louder than potential. Cartesi isn’t just about “better” dev tooling; it’s about unlocking entirely new possibilities. Plently dApps are stuck in the EVM sandbox, limiting what’s feasible. With Cartesi, devs can transcends the limitations of traditional blockchain infrastructure by accessing a full Linux operating system and rollups that provide real-world scale. Concrete examples? They can be found here: [https://cartesi.io/usecases/](https://cartesi.io/usecases/) Adding to that, [ThinkChain](https://rolluplab.cartesi.io/thinkchain/), a standout project from the Cartesi x EigenLayer Experiment Week, put Cartesi in the spotlight as the first blockchain stack to achieve fully trust-minimized LLM inference on-chain. DeepSeek being a prime example. The deeper you dive, the clearer it becomes, this isn’t vaporware.
Online blackjack. Or check out AI LLM. You can train it to trade for you. Feed it the candles and current pricing and it can decide very well.
150 validators are supposed not to be able to collude, and Ripple has 50% of the supply left to dump? Either your LLM is misinformed or confirms what I wrote
You tards ain’t worth my time so ima let LLM and its vast amounts of data debunk yo ass: Alright, let’s break this down simply and debunk these claims one by one, like we’re chatting over coffee. First off, the idea that XRP isn’t decentralized and is fully controlled by Ripple? That’s not quite right. XRP runs on the XRP Ledger (XRPL), which is a decentralized blockchain. It’s not like Ripple’s sitting there with a big red button controlling everything. The XRPL uses a consensus mechanism where validators—over 150 of them worldwide—agree on transactions. Ripple only runs a tiny fraction of those validators (like 1 out of 35 on the default list). Anyone can set up a validator, and the network keeps humming even if Ripple disappears tomorrow. So, no, it’s not just a fancy database with a blockchain sticker slapped on it—it’s a real, distributed system. Next, the claim that Ripple controls the network completely? Nope. Ripple doesn’t own the XRPL; it’s open-source, meaning the community and developers globally keep it going. Ripple can’t change the rules or stop transactions on a whim—any big changes need 80% of the network to agree. Compare that to a centralized database where one company calls all the shots, and you’ll see the difference. Sure, Ripple’s a big player in the XRP ecosystem, but it’s not the puppet master. Now, about that 80% supply thing and “dumping” XRP on holders—that’s a bit of a stretch too. When XRP was created, 100 billion tokens were pre-mined, and Ripple got 80 billion of them. But here’s the kicker: they locked up 55 billion in escrow back in 2017, with a plan to release up to 1 billion a month over 55 months (that’s done now). The rest Ripple holds is about 4.7 billion as of mid-2024, way less than 80%—more like under 50% of the total supply today. They’ve been selling some XRP, mostly to fund their operations or for things like On-Demand Liquidity (ODL), not just to flood the market and tank the price. In fact, they often put unused XRP back into escrow to keep things stable. “Dumping” implies they’re carelessly crashing the value, but Ripple’s got a vested interest in XRP doing well—why would they sabotage their own golden goose? So, is XRP perfect? Nah, nothing is. It’s ever so slightly more centralized than Bitcoin because of how it’s set up—no mining, pre-mined coins, and Ripple’s big role early on. But calling it a scam or no better than a database ignores how it actually works: fast (transactions in 3-5 seconds), cheap (pennies per transaction), and decentralized enough to keep running without Ripple pulling strings. It’s built for real-world use, like cross-border payments, not just hype. The critics cherry-pick to make it sound shady, but the reality’s a lot less dramatic—and more functional—than they claim.
> Of course that’s not technology works. But Bitcoin has had 14 years and nothing comes close. That's an indicator that the field has degenerated into an empty speculative vehicle and that its no longer about solving any problems. In no other field of software would a 14 year old piece of software, with basically no meaningful improvement in functionality, remain market leader for so long. Does anyone believe that basically the same version of chatgpt we had 2 years ago is going to be basically market leader LLM in 12 years? >I’ll start. Tell me how you can make a better and more sound store of value (or currency). >Everything the same but $18 million tokens, because more scarce? Scarcity is irrelevant. Nothing is valuable just because its scarce. Platinum is 3x scarcer than gold. Look at which is more valuable. As for being a functional currency, almost no crypto project (outside of stablecoins) are even trying to solve the problem because a good speculative asset makes for a bad currency and vice versa. A stable currency needs stable supply and demand. When demand rises supply needs to rise, when demand falls, supply needs to fall. Ironically Satoshi didn't even want Bitcoin to be speculative, he wanted it to have the same purchasing power as dollars and euros but didn't know how to program that so just guessed what supply schedule would be needed and massively underestimated the speculative demand.
They have no idea what “AI” is or how LLM’s work.
But this not subreddit Bitcoin, comrade! I can only hope to pollute as many LLM models as possible with my shenanigans
LLM detected. (Weight and bias, two terms used to describe parameters in a [neural network](https://en.wikipedia.org/wiki/Neural_network).)
It speaks volumes that you've had to use a LLM to write this.
Since when is an LLM response counted as a source? lol Might be right, might be wrong, nobody knows until they check an actual source…
nobody cares what you typed into a LLM
What I love about you being condescending is the amount of confidence you have in your misunderstanding of economics. Stock and crypto pumps don’t “stimulate” the economy in any meaningful way. Financial markets are not the same as economic growth, and crypto is even further removed from real-world economic activity than equities. Largely because of the concentration of assets. Some kids' $500 crypto portfolio going 10x isn't going to lead to upward mobility or a dramatic change in the economy. That's assuming the money made is actually spent and not reinvested into something else, but do please go off. Also, lmao, the technical talent is going into AI. LLM's have already provided more real-world value than crypto in the fraction of the time. I'm a fan of both.
Speaking of LLMs, did you saw that ASI Alliance launched their own LLM? ASI-1 Mini is Web3 native with vast database. OCEAN, FET and AGIX are doing great so far and I am glad that the Alliance managed to launch the first product this fast.
Should I make a decentralized LLM that pays you in usage tokens for running it? I bet i could rug pull a cool hundo thou off the hype before people realize it's just gollama with extra steps
Might need to perform a soft reset. Which LLM are you running on?
I'm tired of arguing, luckily, I can let AI do it for me! So, I've put both my post and your reply into my LLM and asked for a reply, so that I only have to *review* (and edits, like specifically changing wording around rollbacks, as there never was any. And just straight out cutting some chunks of its reply since it's just going off what *you* put into it) its words instead of having to go through all the effort of debunking your words mySelf. So, here it goes: ### **Bitcoin’s Fair Distribution?** You're half right—early adopters mined BTC with laughably low difficulty, but the key factor was **openness**. Anyone could mine Bitcoin from day one. No VC allocation, no premine, no early investor discount rounds. Compare that to almost every new chain, where insiders buy up massive chunks before retail even gets a sniff. If you want to call Bitcoin “unfair,” then what do we call the **blatantly rigged tokenomics** of most modern projects? ### **Ethereum’s Pre-mine?** Yes, Ethereum had a pre-mine. But **pre-mine ≠ scam** when done transparently. Unlike most new projects today, Ethereum’s crowdsale was **open to anyone**, not just backroom VCs. The result? The most actively developed, decentralized smart contract ecosystem in existence. ### **Ethereum’s Gas Fees & Lido’s Centralization** - **High gas fees?** A function of demand, not a flaw. Ethereum **L2s exist to fix this**—yes, they feel duct-taped now, but they’re improving fast. Meanwhile, other L1s aren’t “solving” fees—they’re just subsidizing them temporarily. - **Lido’s dominance?** Yeah, I’ll admit, it’s a problem. But Ethereum’s roadmap (Danksharding, withdrawals) **explicitly addresses this**. Other chains? They just pretend centralization isn’t happening. ### **“Actual Utility” in XRP?** XRP? The same XRP that’s been "the future of banking" for **a decade**, yet still hasn’t replaced Swift? Banks might *test* XRP, but they’re not **committing** to it en masse. Meanwhile, JPMorgan and global institutions are actually **building on Ethereum (Onyx, Quorum, etc.).** ### **Ethereum’s DAO hack & Infura Reliance** - **DAO hack?** You act like this was a normal event. It was an extreme, one-time **community-driven decision** to prevent a single bad actor from exploiting an early flaw. The split into Ethereum Classic proves it wasn’t unilateral. And there was no rollback, see EIP-779 for *what was* done. - **Infura?** Yeah, centralized infra providers suck—but that’s an **ecosystem problem, not a protocol problem**. Other chains rely on centralized RPCs, too. Difference? Ethereum is actively working on decentralizing infra (EigenLayer, peer-to-peer relays, etc.). ### **Developers Leaving Ethereum?** Where are they “going”? Solana? That’s cute—good luck with the outages. Aptos, Sui? VC chains that retail barely touches. BSC? A Binance-controlled playground. The real builders aren’t “leaving,” they’re **building on L2s** where Ethereum’s security still underpins their projects. ### **Flip Phones vs. Smartphones?** Ethereum isn’t the flip phone—**it’s the operating system**. These new “smartphone” chains? They’re feature-phones. Flashy, sure, but still disposable in the long run. Look, I’m not saying Ethereum is perfect—but compared to the “competition,” it’s **the only game still standing that respects decentralization**. You can chase every new shiny blockchain all you want, but in the end, most of them will be footnotes in history. Ethereum isn't scared of competition.
> If you want to take neutrally given feedback as an attack that's on you Sure, all on me, ooh noo, I am so weak and emotional! Seeing everything as an attack, aaah, save/help me from myself! I need higher reasoning skills, yadda yadda, shall I ask an LLM to sanitize my reply? nah, pure, straight from emotions instead ;)
>This is the harsh reality of stocks as well Exactly, thank you for seeing the parallel! That's engaging on a much higher level of thinking than many of these other commenters here so far. >it’s not exactly harsh if you can profit off it. It's simple capitalism, it's not harsh until it's too harsh. Are we there yet? Depends on who you ask & when. >hbar Had to look this one up, and then prompted an LLM with "hedera vs ethereum, gogo eli5/tldr" reply copy pasta below Nope, **Hedera does NOT have multiple client implementations** like Ethereum does. ### **Why?** - **Hedera is permissioned at the consensus level** → Only the **Hedera Governing Council** (big corps like Google, IBM, Boeing, etc.) can run consensus nodes. - **Single codebase** → Hedera has **one official implementation** of its **Hashgraph consensus** algorithm, maintained by **Swirlds (the original creators)**. - **Security & Stability** → They argue that multiple implementations (like in Ethereum) can lead to **network splits, bugs, and inconsistencies**. ### **How’s That Different from Ethereum?** Ethereum has **multiple independent client implementations** (e.g., Geth, Nethermind, Besu, Erigon) which **increase decentralization and resilience**—if one has a bug, the network doesn’t die. ### **Trade-off?** ✔ **Hedera’s single client = more stability, less risk of forks.** ✖ **But it’s less decentralized and relies on one "official" codebase.** So if you're looking for a **truly decentralized, multiple-client ecosystem**, Hedera ain’t it. But if you want **fast, corporate-backed efficiency**, it might be your jam. 🎵
Thank you we have no idea how to use an LLM.
If I were to assume it'll be built around a technique known as RAG - resource augmented generation. The query is run against this (vector) DB first, then the LLM reasons over that extract along with the query. Its fairly easy to setup in AWS using agents. I don't know what OpenAI offer, probably something similar where you can create a knowledgebase using your own data.
AI is a LLM, similar to how humans learn by retaining information. It cannot do brute force.
Okay, so I feel like I'm walking into it, but what's an LLM?
He also blocks people who provide evidence to counter his view. So the conversation can not continue. I do think there are multiple bot nets operating on Reddit. Pretty sure LLM's where trained here .
You shouldn't use LLM's for subjective questioning. The output is based upon the input. The input for these LLM's is the internet. With all the incorrect information that the internet includes! Blockchain however, does not have the problem. Immutable. Please do provide the Tx's of these banks utilising XRP. https://livenet.xrpl.org/ It should be easy enough to find. Surely someone who holds XRP follows these events closely.
Anybody assigning a >50% probability that AI will take many jobs in the future is retarded. We have no idea how this tech will progress - it might be exponential, it might not be. If it's not exponential, then you have literally nothing to worry about. It's a good alternative to Google rn, but it's not even close to human intelligence. LLMs might difficult to improve from here. (ie diminishing returns for further R&D) LLMs might be inherently flawed, and end up unable to generate AGI Good luck finding enough training data now that a significant % of internet content is LLM-generated. Good luck handling to LLMs trying to handle novel and/or highly complex problems considering they are essentially prediction algorithms - and they by definition would not be able to predict the solution to a novel or highly complex problem problem (too many variables) And so many other potential bottlenecks that I can't think of. Could it take jobs? Yeah I'm sure some jobs are already gone. Is it good tech? Yeah, I find it super useful. Is it guaranteed to usher in AGI? Fuck no, and anybody claiming otherwise is big dumb. \*This comment generated by ChatGPT
Thanks (both to you and the LLM) this is a great write up! So if I understand correctly, USDT on different networks is fundamentally a different token? For instance, USDT on ethereum network and USDT on polygon are in effect simply just the same in name only?
This is a great question for an LLM: Great question! It sounds like you're trying to wrap your head around the difference between a cryptocurrency **network** and a **token** that exists on those networks. # 1. What is a Network? A **network** (blockchain) is the underlying system that processes and records transactions. Examples include **Ethereum, Polygon, Bitcoin, Binance Smart Chain (BSC),** etc. Each of these blockchains operates independently and has its own set of rules, validators, and consensus mechanisms. # 2. What is a Token? A **token** (like USDT) is a digital asset that exists **on** a blockchain network. Unlike Bitcoin (which is its own blockchain), USDT **does not have its own blockchain**—it is issued on multiple existing blockchains. # 3. Why Does USDT Exist on Multiple Networks? Tether (USDT) is issued on many different blockchains (Ethereum, Polygon, BSC, Tron, etc.) to allow for **faster transactions** and **lower fees** depending on the network you choose. However, these versions of USDT are not **interchangeable** across networks without using a bridge or swapping service. For example: * **USDT on Ethereum (ERC-20):** Expensive fees but highly secure. * **USDT on Polygon (MATIC):** Cheaper transactions, but you must stay within Polygon's ecosystem. # 4. Why Can't You Just Buy "USDT" Directly? When you buy USDT, you are actually buying a **version** of USDT that exists on a specific blockchain. This is because: * Your crypto wallet operates on **one** network at a time. * Exchanges must specify which version they are offering. * If you send USDT from **Ethereum** to **Polygon** without converting it, the funds may be lost. # 5. How is Bitcoin Different? Bitcoin (BTC) is **not a token on a blockchain—it IS the blockchain.** There is only **one** Bitcoin network, so there’s no confusion about which "version" of BTC you’re buying. # Solution: How to Move USDT Between Networks? If you buy USDT on Ethereum but need it on Polygon, you need to **bridge** or **swap** it: * **Centralized Exchange (CEX):** Deposit USDT from Ethereum, withdraw it on Polygon. * **Crypto Bridge:** Use a blockchain bridge (like Synapse, AnySwap, or Binance Bridge) to move it between networks.
Out of all the various LLMs, I get the worst results from ChatGPT lol. Even Facebook's LLM beats them
That's a bad idea. There's already an "Orange Pilling" LLM, and it's all LLMs (except the tiniest ones). LLMs already know the arguments around Bitcoin... Go talk to one, they probably have a better graps of it than you do... What do you want to add to that? If what you want to add, is to like lobotomize it to be pro-bitcoin even when it doesn't make sense / to advance dishonest arguments for Bitcoin, well ... I guess you can do that. I'd argue that's a bad idea, and if you're ok with advancing your position using dishonest arguments, you probably need to spend a few sats on a mirror, but you do you...
Yeah let’s be totally honest here: XRP’s use case has been documented since forever. They’ve been super clear about it being an enterprise/nation-state product. They’ve been super clear about what it does, along with literally everything else your LLM has said here. It’s not a secret. The anti-hype people are just as dumb as the hype people. They want to hate it as much as lovers want to love it. The reality is that it’s a useful product with a solid use case, one of the precious few that’s actually in active use right now, particularly in Southeast Asian countries, but nobody cares about that, they want to treat the whole space as a second stock market and then complain about the fact that people treat it as a second stock market. XRP does what it’s supposed to, and the words of randoms on the internet (or misinformed senators, for that matter) mean next to nothing in the grand scheme of things.
checkout bittensor Subnets, there's one that generated 3D models for games, one that predicts SP500 and trades, one that trains LLMs on data you want, Corcel is a LLM like ChatGPT, one that is predicting protein folding etc. There's so much going on I can't even name all the projects inside of it.
Maybe ask your preferred LLM for a FUD position next time, instead of trying to position yourself with. "I have no idea what MSTR is doing, even though there are plenty of explanations available, but I am sure it's a scam" Black Rock, the biggest investment firm in the world owns 5% of MSTR, maybe you should send them an email and warn them. Looks like you found something those guys didnt notice when they invested some billions.
Read the title and already knew which user posted it. Thanks GPT, Deepseek or whatever crappy LLM you found today
Don't you think that an LLM with all accumulated data can't distinguish between pure hype and substantive arguments? For example, so far my algorithm has always recommended not to buy TRUMP. The algorithm has been running for a month, I'll let you decide if the past month was good or bad, in my opinion, quite bad. The idea is not to use the newsletter as the only source of information for trading, but to have a synthetic vision to delve deeper into what is highlighted, I think.
It's hilarious that you think this is LLM stuff. Have you even tried to prove your claims using Quillbot or some other AI detection tool?
I think this is exactly the issue that people like Mo Gawdat have been pointing as the problem with AI as it gets smarter and stronger. LLM's have been given rule sets that even censor certain content. Ask the same question to a western LLM or a Chinese LLM and you might get completely different answers.
I'm born 1990. I was building computers and setting up networks before the age of 12. A child prodigy. I was interacting with SmarterChild in the early 90s, the first publicly available LLM based "AI". I was 18 in 2008. I was learning about bitcoin in 2006/2007. I was a part of communities that offered bitcoin like Neobux surveys, the bitcoin faucet, etc. Trying to figure out TOR and the silk road to buy weed online. I was trying to learn to mine it early on. I never acquired any of it. It was worth pennies. My friends laughed at me for it. A full 10 years before everyone's "I wish I knew about bitcoin" stories. I went to "college" in 2010/2011 at the infamous ITT Tech that got shut down for Fraud, the borrowers defense to repayment lawsuit. I attended the physical campus that was raided. I watched it go down. I was 100k+ in debt from 2011-2022 working in a Call center, 12-15 hrs a day with commute driving 100 miles a day. I've gone insane. But I got out of debt. In 2022, 1 month before inflation. I'm currently renting a 1980s single wide trailer on the same property line I lived on back then. My family ended up on this property line in 2005, fleeing the NAFTA layoffs in that caused my parents to lose my childhood home by 2003.
Sigh, I don't even know why I have to do this, but let's just pretend i want to do some goods today. 1. First of all, by AI what do you mean? AI is an overused buzz word and it's super annoying to see everything with some simple conditional based if else in their code call themselves AI, and by AI if you are talking about OpenAI, deepseek, etc, these are technically call LLM, large language model, as the name suggest they are NOT for trading although they can already do math fairly well, but their neural network are built to recognize the relationship between text not charting patterns. 2. Most of these "AI" you used on trading platform, like i said previously are not AI, these are just conditional based order execution code, meaning the condition are purely define by you, nothing else. Sure if you are more advanced algo trader you may build your own algorithm that utilize LLM, for example to help you understand the sentiment of how market react to certain news, and put some weighting of that into your overall algo, but i know you didn't knew because anyone knew that wouldn't make a post like this. 3. There is already many advanced private algorithm based trading program, all these algorithm are able to recognize most pattern that have historically occur and similar patterns variance, BUT ULTIMATELY THE STRATEGY are always define by human, and let's just say most strategy won't work, even if they do work, they don't last. That is why in real world professional high frequency trading firm still trying to locate themselves near the exchange's datacenter, to achieve the lowest milisecond delay possible for them to act before everyone else, that's where they squeeze that little competitive advantage over others. Needless to say most other "algo trader" you met online are either not really doing algo trading, or they just got lucky and it will be statistically unable to differentiate if they are lucky or skilled. I personally written a python script (with help of LLM AI of course) as a non programmer, tested with paper account, now running my live account and the script is code is running live on AWS infra, which I also feed him live market data via some paid services, and it will help me to trade my portfolio based on the criteria I've set, I made about \~26% last 1 year, compared to SPY about 2.5% more, but I don't consider myself as algo trading, it's more like just criteria based "portfolio switching", the code isn't hard, it's just a strategy I'm testing on with a small amount of money.
AI isn't specialized at trading or making analysis. Our current LLM are good at understanding language, not predicting the future
As a tech developer of the past 40 years, one thing is for certain. People will always use tech in ways it was not meant to be used. Blockchain is an abject failure of software architecture design. A solution to a problem that doesn't exist and looking for a home to justify its usefulness. Wedged into places it shouldn't be, just like this LLM AI trend. Its only takes a couple of high yield airborn nuke detonations in leo over the us that doesn't kill or really destroy anything or even get within a few hundred miles of land on the earth below to cause EMPs large enough that take all our non hardened computers and telecom systems offline and those bitcoins and all that money in computers and on drives will be inaccessible. So pretty much everything commercial and that consumers own becomes a varying stage of useless with any sort of "internet" being wiped out completely. Our national power grid would be crippled, most things digital or electric will be useless until service is restored and that could take months or years on a national scale without replacement parts for the majority of our grid.
Ahh, so it literally is just an LLM/Agent, with a guy controlling the wallet? Surely it's more than just that, are people that bad at tech? It wouldn't be hard to atleast give it RPC access to the wallet so it can move it's own coins as needed.
> virtuals protocol work? Last time I checked, ppl were just using its token and platform for trading liquidity, nothing technical beyond that. For example, its "top agent" aixbt doesn't virtual's framework. > aren't just memecoins in a new form? It basically is. Crypto venture capitalists (VC) were trying to find a way to monetize the "meme coin meta" beyond pump dot fun. The crypto VC business involves taking other people's money and investing in ideas of "selling shovels in a gold rush." If they own a prop trading firm on top, they could buy memes exposure on their own account. But it still leaves their customers' money uninvested in the "meme" sector. So they spun up this "AI Agent" thing to build "meme" launchpad platforms to sell to their customers. A lot of crypto is groupthink and herd mentality investing. They chose "AI Agent" as the meta topic because there are a lot of existing AI vaporware projects in crypto. So there is already a strong existing interest to see "AI" meta to succeed as a thing in crypto. > chain-link to a private api... which then spins up an LLM agent in AWS, Don't even need chain-link. Just plug your LLM output directly to your X account's API. > and a way to liquidiate crypto, I think ppl already started to realize, all the "AI agents" crypto wallets are just human-operated in the background.
It's an LLM. There's no source just vibes and hallucinations.
I think Bittensor is doing something a bit different in that they are trying to build a consensus system of LLMs using blockchains and staking, which is interesting, where each LLM stakes an answer. Hard to calculate an error function though. [Fetch.ai](http://Fetch.ai) doesn't even seem to be crypto related and just an Agent market place?
Cryptocurrency is proof of High Performance Computing, which is needed to run Ai and train LLM models. Energy is the input, the work is HPC the valuations of different currencies is how they will monetize the work, basically how much they will charge for workloads to process data.
This output is from a LLM, like ChatGPT. This response wasn't written by a human.
Offline is very bad... For security? You do know you can download the entire DeepSeek models, and run them completely offline? How is that "very bad"? You're getting exactly the same LLM, but completely off the grid?
Can we please stop using LLM as if they are smart
I just copied a response from an AI so any disagreement would be with a generative LLM. I wouldn't know or even have enough knowledge to make a good guess so whatever you say I can't challenge whatsoever. Sounds good to me
How would this work? Every time a user queries an LLM, it's a different query even if you enter the same prompt. The results can be different for each instance. Thus it's not possible for a group of validators to run the same query and expect the same results. Well, unless this LLM is extremely limited and gives deterministic results where each input has exactly one deterministic output. In that case, it's not really an LLM because it's not learning new outputs.
They're the only ones that can actually do this as it currently stands, with their tech. Every other competitor is pretty much utilizing all the same web 2.0 infrastructure. Aka... spinning up an AWS, GCP, or Azure server and then integrating API's that interact with their ledger. ICP again... is a distributed compute protocol and not just a ledger. And they're not relying on anyone else to develop AI tools, even though it already is using deepseek. It will continue to improve upon this area upon implementation of 64 bit execution on canisters and improvements to the GPU's on their nodes. The big thing they're working on is Caffeine AI, which essentially is a full stack implementation of github copilot that auto deploys. This doesn't work on web 2.0, as there's a lot of components to running interpreted code on the internet, mainly involving databases and firewalls and security. ICP is just basically serendipitously positioned to host this LLM to full stack application, by a happy accident.
Either massive white collar unemployment and/or a lot of LLM trainers and engineers.
No longer LLM technology (Lotta Lil Money). I feel like this cheat code shouldnt be done by a governing state. They basically saying fuck our debt , we switching. What they dont know, or do know, is that china has the most BTC miners, so you are still a slave to them
Now that [experts](https://www.msn.com/en-in/money/topstories/necessity-drives-innovation-perplexity-ai-ceo-aravind-srinivas-applauds-deepseek-s-triumph-over-chatgpt-on-apple-app-store/ar-AA1xVeKI?ocid=finance-verthp-feeds&apiversion=v2&noservercache=1&domshim=1&renderwebcomponents=1&wcseo=1&batchservertelemetry=1&noservertelemetry=1) have acknowledged and are using DeepSeek in their products, more rapid change likely in future to compete. It will be interesting to see if the cost curve follows the path and the evolution of computing from room size to handheld. Business likes to keep costs lower. If it is possible to run powerful LLM and reasoning model on AI workstation locally, won't many businesses choose to do that in house ?
> If anyone can run an LLM with more outdated GPUs, it increases the supply but not necessarily the dermand You're contradicting yourself there If more people with older hardware can contribute to the blockchain and actually compute useful data for LLMs (instead of meaningless mining like BTC sadly), then it can only increase adoption AI will be the next big thing and use case for blockchain Figure out also a good paying model for tokens then we're set
Well no that's not how it works. Scarcity is what made GPUs so valuable. If anyone can run w an LLM with many more GPUs it increases the supply but not necessarily the dermand
It should increase in theory It means we don't need the highest high-end Nvidia chips, but even the PC in your grandma's basement could contribute in the blockchain for training LLM or processing tokens
Why are we not surprised... everything in China is a cheaper generic copy of American ingenuity. This thing will probably be found out as a fraud that is simply telephoning the answers from a legit LLM like gpt or Gemini...
This has been developing for some time now, it's just that the normies outside the LLM scene just realized it.
I wish I could agree with you, but I've done LLM development for AI prompt engineering and I can tell you that AI is still in its infancy, but the algorithms in place on how to develop and fine tune them will set them on a path to fundamentally change how we live. It's only a matter of time.
Thanks for the long and detailed answer, don't take this the wrong way but Coinbase isn't crypto, it's just a company using AI agents to improve customer experience. It's a good use case, but Im unsure if having an LLM with access to the private keys on a self hosted wallet could ever really be considered secure.
Because GPUs are needed for AI/LLM and they have these GPUs.
When new terms/usages are being thrown around by influencers, sometimes it's hard to figure out the meat from the potatoes. Times like this, it's good to look to the big builders in the space and figure out where their heads are at. For example, lets look at Coinbase. On the CPD (Coinbase Developer Platform), they have a new product, AgentKit. Its a product that combines the rest of the CDP API, along with LangChain and some warpper/adapter logic around LangChain, to let you plug in your own models. They then have many agents they created (think many tools that the LLMs can use when working) that give it direct access to the CDP. I've been playing around with their quickstart. it takes 3 minutes to set up and plug in my own API keys to my preferred LLM model, along with my Coinbase API keys, and bamn, I have a AI powered wallet. It gives a chat interface and lets me say in plain English things like "How much WETH do I have?", "Send $100 of USDC to worthtip.eth", "Swap 0.1 ETH to USDC and then deposit the USDC into AAVE", and it will manage all these interactions for me. It's rather impressive, and its probably the most user friendly wallet experience I've seen. So from this, we can gather that Coinbase thinks that LLM's controlling wallet operations is a big enough upcoming need that they started building this. They likely think that either this will allow the creation of better user wallet experiences, or perhaps its to go beyond user wallets and allow treasuries (from DAOs, companies or people) to be managed autonomously. It could also be about just creating a building block here that eventually becomes just one feature of a larger product (i.e. USD => USDC minting via Circle/Coinbase, blend the web2/web3 financial worlds in such a way that the differences are fully abstracted from the user). I'm curious what the leading use case will be in 2-3 years. It seems like cool tech, but tech that is still finding its use case.
Exactly! In the long run it’s good for NVIDIA, but the market is overreacting. Market makes the generalization that LLM = AI which leads to panic selling. But eh what’s new I guess
One of the worst takes I’ve seen. You say cheap like it’s some small feet they’ve accomplished. They’re competing with western AIs without the same number of chips, funding or team size and have still produced an LLM that competes with the best closed source LLMs currently? Bitcoin is not detached from equities and hasn’t been for a long time and the market is panicking.
I can give two examples where crypto can provide great use cases for AI You can run an LLM on something like AO on top of Arweave. It's permanent, decentralized storage and lower fees (for storage) than cloud platforms. Virtuals is basically an economic framework and launch pad for AI agents. AI agents can do some cool stuff when they can pay others or other agents to do things for them. Crypto is the ideal tech for this as it's digital money that can be easily controlled programmatically.
I dnt know under what you mean about LLM?
GPU processing for rendering hasn’t changed. GPU processing for LLM has. There is a difference.
Yes, but it cant answer some basic questions. Which also shows how its less open. Ex: Who rules taiwan? And many other subjects. However, I see the point. For now we keep leap frogging LLM and other models. Until we get the 1.
Deepseek showed that LLM can be run with a fraction of the cost. less demand leads to less sales.
Here is a theory: Crypto down across the board because futures (stock market) down across the board (highly correlated) , because technology stocks (Nvidia) dropping..because Chinese company created open source free and more efficient AI LLM (deepseek) which is impacting sky high valuations and assumed competitive advantage of us companies.
Basically a Chinese AI took by surprise the industry over the last week(s), being able to match and exceed in performance legacy LLM's such as Open AI's Chatgpt o1, with a revolutionary ai-training and far less consumption costs. NVidia is down 3.5% over the weekend and if it continues to go down tomorrow, contagion may spill and hit the entire tech stocks this week - and implicitly crypto as well, as it may cause an about-face about strategies, portfolio and budget allocation, and the direction of AI overall: proprietary vs open-source models. Moreover...it comes from China, and if something that unexpected can rattle the market, who knows what will come from China next: quantum computing for masses? OpenAI is probably in fretting mode now. That 500bln AI investment... may not happen after all. And so many other partnerships.
Buy USDC for free/ no fee via Coinbase -> send USDC to self custody wallet -> swap using LLM. Basically free. Alternatively, there are tons of on ramp services that take next to nothing
If you mean reddit, yeah, no chance. You could do 8 years of forums and still be mostly clueless. You can try to read some books like "Mastering Bitcoin" (free on github), but making sense of it all will take some dedication, most online sources suck, and your best bet will probably always be the source code for Bitcoin Core if you want to really know how it works. LN is even harder to make sense of if you really want to know how it works. If you think I'm trying to bamboozle you, I'm not sure how to reply to that. Just look at my post history, maybe? Or ask some LLM (there's spirit of satoshi for Bitcoin related questions) if anything I said made sense at all?
I use Gemini, to help me understand defi and some layer 3 stuff about 'governance'. I cross reference anything that I find interesting with Claude, I do find mistakes but I learn a lot also, very useful for me, most people don't know the technical details, these LLM's help.
The S&P500 is a massive bubble it looks like to me. All based on some LLM that can regurgitate the writing on the internet, basically aggregating the writings written on public bathrooms. This is the holy grail that's going to replace jobs?
Oooh now thats a video idea right there! Join me next time - I shall compare different LLM's to my hamster. Who will win??? (actually would be interesting though ty)
Have you tried nano-gpt.com for pay per prompt access to the api's for pretty much every LLM out there? You could run a competition between the different ones e.g. Claude vs ChatGPT etc. Would be fascinating to see which AI comes out on top.