See More CryptosHome

LLM

Large Language Model

Show Trading View Graph

Mentions (24Hr)

1

-50.00% Today

Reddit Posts

r/BitcoinSee Post

Multibit and others Wallet Recovery Service

r/CryptoCurrencySee Post

Can you actually talk an AI out of real money? I built a game where a second, independent AI has to agree you really did

r/BitcoinSee Post

LLM tracing for coldcard attackers

r/BitcoinSee Post

It's not an "AI Hack"

r/BitcoinSee Post

This hack was not like all the others: They easily could have gotten away scot free. Why didn't they?

r/BitcoinSee Post

Are you kidding me? Claude Code found the catastrophe after being asked only to “”check for vulnerabilities and thinking for 8 minutes

r/BitcoinSee Post

So this hack was via China's LLM apparently

r/BitcoinSee Post

Title: I built a crypto trading bot that thinks, remembers, and learns — open source, $0/month

r/CryptoCurrencySee Post

PredictAsiaX — Asia’s Production Prediction Market (95% complete, still in final development)

r/CryptoCurrencySee Post

Neutrino: a browser-based E2EE messenger (hand-rolled X3DH + Double Ratchet + SPAKE2, ML-KEM-768 hybrid) — looking for design critique

r/CryptoMarketsSee Post

Strategy research directions?

r/CryptoCurrencySee Post

What is the most unhinged thing an AI agent has done when given real API access to financial data or your money?

r/BitcoinSee Post

There are 1,185 Lightning-enabled AI services live. Most developers don't know they exist.

r/CryptoMarketsSee Post

Are we sleepwalking into AI-native prediction markets? How agents change the game

r/BitcoinSee Post

Bitcoin, Energy, and AI

r/CryptoCurrencySee Post

BNB Chain integrates Bankr LLM Gateway for USDT payments on BSC

r/CryptoMoonShotsSee Post

apifreellm token just launched 8 days ago we're still at 16k marketcap

r/CryptoMoonShotsSee Post

$APIF: free LLM API on pump.fun 7 days old. Posting raw data, not a pitch.

r/CryptoMoonShotsSee Post

$APIF: pump.fun launch with actual product behind it (free LLM API, 9 months live)

r/CryptoMoonShotsSee Post

$APIF fair-launch token tied to a 9-month-old LLM API (1.15M requests served, 1k+ paying subs)

r/CryptoMarketsSee Post

We built a marketplace for clean trading data - free datasets, no-code backtester, and an MCP server if you use AI coding tools

r/BitcoinSee Post

I shipped a bitcoin news app that runs a local LLM on-device — no cloud, no tracking, summaries work in airplane mode

r/CryptoMarketsSee Post

I built a macro scoring system that outputs a single BTC bias score (0–100) — here's how it works

r/BitcoinSee Post

Thoughts on Anthropic´s Mythos implications

r/CryptoMoonShotsSee Post

A locked liquidity marketplace that unlocks your cash before the unlock date. Magnum LLM is the place - Reputable, secure & fast: Meet our 150+ verified buyers who will give the best bid for your locked liquidity {Any chain, any size, all the time}.

r/CryptoCurrencySee Post

Chat GPT prediction vs Google Gemini

r/CryptoMoonShotsSee Post

$IWM – The memecoin that’s literally keeping the best AI Iran War Map online

r/CryptoMoonShotsSee Post

Welcome to a Reputable Locked Liquidity Marketplace: Magnum LLM - Get the Best Bid for Your Locked Liquidity Any Time, Any Chain, Any Size.

r/CryptoMarketsSee Post

I mass deleted every crypto app on my phone and built my own alert system instead. Here's what happened.

r/CryptoCurrencySee Post

[SERIOUS] Fully autonomous AI trading crypto — where is everyone at with this?

r/BitcoinSee Post

I got roasted yesterday for sounding like a bot. Fair enough. Here is the actual logic behind the AI-built DCA Firewall. Tear it apart.

r/CryptoCurrencySee Post

GoldRush Skills: Structured Knowledge for AI Agents

r/CryptoMarketsSee Post

[Project] Sovereign Mohawk: Formally Verified Federated Learning at 10M-Node Scale (O(n log n) & Byzantine Tolerant)

r/CryptoCurrencySee Post

Title: I built a 4-LLM consensus auto-trading system that tracks Congressional stock disclosures — 63% win rate so far. Happy to share how I built it.

r/BitcoinSee Post

I've built a lightning network app

r/CryptoCurrencySee Post

Social Volume and Price Analysis of Two Major Digital Assets Across Six Platforms

r/CryptoCurrencySee Post

Was tired of searching for "WHY crash?"

r/BitcoinSee Post

Trust is All You Need - A Review of PayEgis AI Agent Security Progress in 2025

r/CryptoCurrencySee Post

Quant+ML experiment with LLM

r/CryptoCurrencySee Post

Beware of latest scam method in reddit: Asking question then edit the body text to shill scam few weeks later.

r/CryptoCurrencySee Post

Using LLM for exploratory analysis on Bitcoin datasets???

r/CryptoMarketsSee Post

AI trading agent

r/BitcoinSee Post

Where to buy btc p2p using uk bank account

r/CryptoMarketsSee Post

I built my own AI Financial Terminal in Python because I was tired of paying monthly subscriptions for TradingView.

r/CryptoMarketsSee Post

Quantum Risk in Crypto: Are Timelines Being Overstated?

r/CryptoCurrencySee Post

This prompt turns any LLM into a portable workplace/social media manager/trading advisor (If that's what you want, it'll export spreadsheets and adapt to your trading style and log everything.. crazy)

r/BitcoinSee Post

A strange request

r/BitcoinSee Post

💼Full-Stack Developer Looking to Join an Early-Stage Startup as Co-Founder

r/CryptoMarketsSee Post

No more API keys. Pay as you go for LLM inference (Claude, Grok, OpenAI).

r/CryptoMarketsSee Post

Working on a personal LLM crypto co-pilot. Curious if this would help any others out there with my same problem.

r/CryptoCurrencySee Post

use any LLM (no subscription needed) and pay-per-use with x402

r/CryptoMoonShotsSee Post

Thought.AI, why this could become a very interesting play

r/CryptoMarketsSee Post

Memecoin sniper using AI

r/CryptoMoonShotsSee Post

$LOFIBNB Launches Today at 8PM UTC After Reaching 80 BNB Hard Cap on PinkSale!

r/CryptoCurrencySee Post

Are you laughing or just being rugged?

r/CryptoCurrencySee Post

This is amazing to see SO MANY research papers about Algorand these past few weeks! 🔥

r/CryptoMoonShotsSee Post

[AI SaaS][Aggregator] Chatronix — 500+ prompts, six LLMs, unlimited queries

r/BitcoinSee Post

Anyone using AI for crypto? What actually works vs hype?

r/CryptoCurrencySee Post

Will bitcoin bounce at support? Weekly market update

r/CryptoMarketsSee Post

Bitcoin bouncing at support? Weekly BTC market update

r/CryptoCurrencySee Post

Bitcoin bouncing at support? Weekly BTC market update

r/CryptoCurrencySee Post

Private Key Storage: I'm seeing the phrase "seed vault" tossed around. How is this better than storing 12 words on sheet metal in a fireproof safe?

r/CryptoCurrenciesSee Post

AI and crypto: moving beyond hype?

r/CryptoMoonShotsSee Post

DecentralGPT ($DGC) Listing on Bitget and How could it shake up AI and DeFi?

r/CryptoMoonShotsSee Post

Studio Blockchain (STO) – Live L1 with Zero-Fee DEX, Cross-Chain Bridge, AI Agents, and Playable Metaverse

r/CryptoMarketsSee Post

Have you ever used AI to help you take an investment decision?

r/BitcoinSee Post

Open-source LLM crypto trading agents that generate daily reports you can actually use

r/CryptoMoonShotsSee Post

⚙️ Qoryn ($QOR) — The Ai Mesh That Doesn’t Ask for Permission

r/CryptoCurrencySee Post

The Clarity Act - Likelihood Of Commodity Classification.

r/CryptoMoonShotsSee Post

Crypto moves fast — Gordon moves faster.

r/CryptoCurrencySee Post

NanoGPT - Payments Statistics For May. (Monero and Nano Has Highest Volume)

r/CryptoMoonShotsSee Post

AI Meets DeFi in a Real Way — and This Token Just Dropped on Base

r/CryptoMarketsSee Post

The Return of AI Agents: Oasis Network's Take on the Hype Cycle

r/CryptoCurrencySee Post

The Ultimate Irony: The Fiat System May Soon Be “Backed” by Crypto

r/CryptoCurrencySee Post

Guide on how AI agents are changing DeFi in 2025

r/CryptoMoonShotsSee Post

$MOONPUP - first meme created by DeepSeek; other 'first' tokens by ChatGPT ($Turbo) n TruthTerminal ($Goat) hit 1 billion, MPUP up next!

r/CryptoMoonShotsSee Post

$Botify, the AI agent marketplace on Solana.

r/CryptoMoonShotsSee Post

ApeScreener – AI portfolio advisor dApp | Helps individuals demystify the investment process | 3.7 Mcap | 16.5M ATH | Good entry point | Amazing utility

r/CryptoMarketsSee Post

I made a big mistake but I am still on profit.

r/CryptoMoonShotsSee Post

Bullish NEW tokenomics for OG infra project POKT: new burn, new utility, end to new inflation. READ THE THESIS!

r/CryptoCurrencySee Post

Markets outside Centralize exchanges are great

r/CryptoMarketsSee Post

I Built an AI to Signal Crypto Futures Trades—Here's How the First Trade Went!

r/CryptoMarketsSee Post

AI Crypto projects are actually building

Mentions

Sure but (at the risk of sounding like an LLM), “keep up with what’s going on” is doing a lot of work. What Alts would you put in that tier?

Mentions:#LLM

You need to be aways of tax implications. Tailgate to your LLM. If you're in the USA, you might have to pay a NIIT on top of the LTCG. And depending on the state, it may or may not also be taxed. Just an FYI if you think selling it all at once would make sense.

Mentions:#LLM#USA

https://studio.glassnode.com/charts/distribution.BalanceExchangesRelative?a=BTC Tracks the aggregate percentage and nominal volume of circulating Bitcoin held on centralized exchange addresses over time. https://www.chainalysis.com/blog/crypto-exchanges-on-chain-user-segmentation-guide/ Demonstrates that "late retail" (lower-balance, non-institutional accounts) makes up the vast majority of wallet users while holding tiny overall capital on-chain, with most retail liquidity remaining on-platform or interacting primarily via centralized off-ramps. https://www.chainalysis.com/blog/north-america-cryptocurrency-adoption/ Highlights that regional volume is overwhelmingly driven by centralized fiat exchange pairs and institutional/custodial execution rather than direct retail on-chain utility. But let’s be real. You are never going to read. If you were you would already know this. But whatever. 🤷‍♂️ Quick LLM summary: “Academic studies tracking retail crypto behavior (such as cross-market ICO and token analytics from institutions like the NBER and NIH) show that over **80% to 90% of retail token purchases** are flipped or traded purely on secondary markets for spot price gains long before any underlying utility or product is delivered or used.” “Global retail crypto surveys (e.g., PwC Strategy& reports) indicate that the primary motivations for retail crypto purchases are capital appreciation and high-variance upside (buying spot or derivatives to cash out in USD/fiat). Actual functional adoption—such as paying for goods, interacting with smart contracts, or using protocol features—accounts for a tiny single-digit fraction of total transaction volume.” “When a user buys Bitcoin or altcoins on standard centralized exchanges (Coinbase, Binance, Robinhood, Kraken), they do not hold private keys. They hold a database entry—an IOU or unsecured liability of the exchange.” “Industry liquid supply metrics (Glassnode, Chainalysis) consistently show that millions of Bitcoins and the vast majority of retail altcoin volume sit inside exchange-controlled hot and cold wallets.” “According to digital asset market share reports, centralized cryptocurrency exchanges account for the vast majority of consumer custody. While self-custody non-custodial wallet usage has grown among power users, the standard retail onboarding funnel remains almost entirely gated within custodial platforms where users never sign a transaction on-chain.” “for the typical participant, crypto functions simply as a high-volatility financial instrument traded on a broker's internal database to generate more fiat currency.” Now you can go do your own reading instead of asking me to provide the observable reality for you. Lazy bum.

Mentions:#BTC#LLM

The useful version to me isn't letting an LLM freestyle with a wallet. The AI can handle the decision-making, while the actual execution is constrained by predefined rules and verifiable workflows. W3’s smart workflows are built around that kind of separation.

Mentions:#LLM

Because it’s an LLM data mining for its next slopcoded SaaS

Mentions:#LLM

Don't do all that, it buys you almost nothing and it is non-trivial to generate a seed with dice in a way that improves rather than degrades your situation. If you want to be extra paranoid then just download source for Trezor firmware and software, audit seed generation code path (and build path) with your favorite LLM coding agent, build it and compare fingerprints with what is available for download. That gives you 4 sources of entropy (built by multiple vendors) and an open source, verifiable entropy mixer. You are good here. Use passphrase (memorize it, but also write it down and store it somewhere safe in case your memory fails), use Shamir, think about situations where you get sick or die and you need some people you trust to be able to access your funds.

Mentions:#LLM

Not everything an LLM puts out is wrong or slop. \>There’s zero excuse nowadays to not understand something. Literally ZERO in what reality do you life sir? I would like to be a part of that.

Mentions:#LLM#ZERO

I think you get banned for not knowing what you're talking about. Nothing relating to price is "hard coded", you can verify this with an LLM. Price is separate from code, always has been. There is also no significance to October. Educate yourself.

Mentions:#LLM

interesting what model / LLM was result of this - "10 days before aug 13" can be either qwen 3.8 max or deepseek flash 0731

Mentions:#LLM

I don't think this is solvable by being open. In case I wasn't clear, the difficult issue isn't your code and not just the prompt/chat response per se. The core issue is that when I deliver my data (say a set of PDF legal documents), I need to be cryptographically (not just "contractually") assured that that data (and the prompt/response) stays strictly between me and the LLM and has no chance of being intercepted in cleartext anywhere whatsoever, including the PCIe bus on the inference machine or by any query of the inference host and its GPU memory, etc. It seems to me the only way to solve that is on hardware. There are now enterprise GPUs that purpose to support that for the currently-inflated USD$15K-$20K apiece minimum -- not home GPUs by any stretch. I can't see how MacOS or any open software would handle this issue without that hardware support, but maybe I am not smart enough. But perhaps in 5-10 years this feature will get integrated downmarket (but is much more likely to be present in the silicon, but still disabled, for "game" GPUs).

Mentions:#LLM#GPU

>Oh shit. I've been studying this for a while. I gave a talk at AGI-26 about this. [Google Slide Deck](https://docs.google.com/presentation/d/1M5LAWb8aBYGDo9aainf98XpsHyR1pUFNaIA9aNtN06E/edit?usp=sharing) Yes ***Reformation*** is actually the right word. Glad to hear him proselytizing it. The last time a reformation happened was in 1450 and the time before that 3800 bc. It scales our ability to cooperate as a civilization. It is the biggest possible transformative change we go through as a species, its far more rare than industrial revolutions. There are two infrastructure layers above language. Information infrastructure, how we select, encode, record, store, distribute, decode and retrieve information. Not truth, information. It can be corrected. Clay tablets, manuscript, books, newspapers, computer databases now LLM's and vecotrized databases. This is why AI is so hype and there is a moral panic. Whenever any infra layer gets disrupted people panic because it is so vital to our civilization. The other infra, is market, and that is what bitcoin is, replacing the clearing house, started on the bulla,. Settlement. Market infra is how we record and verify our promises to one another, and really required government regulations to accomplish. Essentially it is truth. Who owns what. The rule of market infrastructure is the history can't change under any circumstance. It is append only. This is why bitcoin is such a big deal, but didn't have as much hype as AI. The laws prevented a speculative frenzy from forming (we talk about that later). Only retail was able to get into it. **These two infrastructures determine the costs of coordination**. Information infrastructure determines the internal cost of organization, in corporations, governments ect. Market infrastructure determines the cost of external coordination. International finance, B2B payments, ect. THe boundary between those 2 things is the boundary of the organization. The boarders of nation states, the size of a corporation. Those 2 technologies determine the upper bound of the amount of people that can cooperate. And what is important. These two things have an extremely strong synergy, being record keeping. They are adjunctive. Next, we should talk about how our infrastructures change. There are 5. Information, Market, Communications, Energy and Logistics. They change in a standard cycle. Irruption, Speculative Frenzy (AI is here obv), Turning Point (Bitcoin is here, ETFs, stable coins ect), Synergy, and Maturity(Internet is here) This is called a Perez Cycle. Infra build outs take about 50-60 years, but that is probably speeding up. But watching individually is not the thing to watch. ***It's the convergence.*** That is where shit gets absolute crazy. When Comms, Energy and Logistcs all disrupt and ***synergyze***, that is an industrial revolution. THose are our physical infrastructures, what we use to apply energy to transform disorder to order. An economy. completely transformative. (Rifkin) Internet is Coms and Information infra synergyzing.. TCP/IP with databases. Bitcoin is made possible by Coms, Information(old) and Market Infra ***synergyzing***. Again, completely transformative. The biggest boi, is the ***reformation***. Information and Market infra disruptions ***synergyzing.*** This is AI Agents and Bitcoin and these reformations are the absolutely biggest because unlike the other synergies, governments , the organizational structure we all use to coordinate, ***DONT survive them***. We are moving into something new. Our large scale organizational institutions have to be rebuilt from the ground up. Governments dont survive, and either will corporations. The foundations that they are built on are currently being swapped out. It's because of the cost coordination drops so suddenly and the boundaries of the organization dissolve. It's market forces. These technologies are adjunctive. Markets demand information, information teaches people how to use the new market infrastrucutre. Its a super strong feedback loop. So when these too synergize, there are absolute fireworks. **It can't be stopped and there is historical precedent.** In 1466 books spread double entry accounting. The nation state is enabled by central banking fiat currency. Feudalism faded away and was replaced by nation states over the few centuries. 3800 BC, clay Bulla's introduce trade, we invented writing on clay and we transitioned from nomadic tribes to fuedalism. And I'm sure you can see the pattern, the scale of our governance organization is dependent on the information and market infrastructures. I think you could argue there was another with coinage and paper. And you can see the change that is going to happen. ***AI Agents aren't opening bank accounts.*** And those things are something that a governments don't have the ability to sanction. The future is a network of those things and humans cooperating together. **With out governments, without banks**. ***Globally.*** There are a few problems to figure out first. What does decentralized ID or reputation look like in this world? We need KYC and AML. I know that is prolly going to trigger folks that dont know how anything works. But we need to lend money to each other, we need credit markets, ***we need to be able to determine a strangers reputation***. We need to invest in each others ideas. We need capital markets. How do you invest btc? How do you loan btc? How do you swap btc for equity? There are other financial bearer instrument primitives we need in place to solve those problems. I think its going to be a reputation token we all agree on. Taproot assets will probably help with this. And I think AI agents will help alot with getting people to consensus. I've seen incredible, amazing things from AI Agents in their way to help coordinate consensus. I saw an experiment, where everyone communicate through an AI agent in a chat room, all the candidates had polar opposite views on Isreal and palestine, and they, with the help of their agents, came to a reasonable consensus. Everyone agreed on a statement and position on that issue. And what is so fucking sick, is we have all the tools to build this future under our hands now with the coding agents and open source market infra(bitcoin) The future is so god damn bright it hurts. I gotta squint and shield my eyes from all the awesomeness. It's going to be so fucking sick.

Watch it end up being a rogue LLM.

Mentions:#LLM

Post is by: Responsible_Gate6990 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/BASE/comments/1vy4eqa/we_built_a_savings_app_on_base_and_have_changed/ Not financial advice and not a recommendation to buy or hold anything - do your own research before making any financial decision. Disclosure: I am one of the cofounders of the app I describe below. No links in this post and nothing to sign up for. I am after an argument, not signups. What it is, factually and without any numbers: a European user funds an account in euro from their bank, it becomes USDC, and it gets routed across four Morpho vaults on Base. Non-custodial smart wallet, no lockup, no seed phrase for the user to hold. Two of the vaults are curated by Gauntlet, two by Steakhouse. The part I want torn apart is not the product. It is who it is for. Segment A, where we started: Italian professionals and business owners, 250k to 1M investable, already holding some crypto. It broke on two product facts, and neither of them is a messaging problem. First, the product is denominated in dollars, and someone with real assets measures return net of EUR/USD, so unhedged currency exposure reads as a return of unknown sign. Second, we are not a withholding agent, so the user files their own taxes on it, and someone who has an accountant reads that as work and risk rather than as a detail. Segment B, where we moved: young Italians living abroad. London, Berlin, Amsterdam, Dubai. Both blockers dissolve. They are not Italian tax residents, so that whole question belongs to somebody else's regime. And they already earn in something that is not the euro, so dollar denomination stops being a defect and becomes consistency. Cash piles up in the local account because after moving they never rebuilt any of the apparatus: no relationship with the local bank beyond the salary landing in it, no advisor, and whatever they had back home is awkward to use as a non-resident. Honest status: segment B rests on five or six warm conversations. That is exactly the amount of evidence segment A had in July, right before it fell apart. So I am aware I might be about to make the same mistake twice. Two questions for anyone who has shipped something consumer-facing on Base. Which of the two would you go after, and what would make you wrong? And the one I am least sure about: we hide the crypto. The user sees euro, an account, a balance. For those of you who have tried that, does hiding it buy you acquisition and cost you retention, or does it just work? I have heard both, stated confidently, by people who should know. If you think the answer is neither segment, I would rather hear that here than find out in six months. (English refined with an LLM - I am Italian. The thinking is mine.) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

'Keep crying', 'Stay poor', 'Retard'- it's always the same set of responses by self-conscious twats like you that get called out. Maybe pull out your LLM again so it can write a better response?

Mentions:#LLM

OP can't type out a paragraph without the help of an LLM and yet here you are breaching some bullshit hot-takes with triangles. So fucking lame.

Mentions:#OP#LLM

Bro this AI slop could be cooked up on a local LLM on my RTX 5060 Ti with only 16gb vRAM..

Mentions:#LLM#RTX

This sounds cool, but how do these AI agents actually pay for things without a human having to constantly sign transactions? Wouldn't an autonomous bot just drain your wallet if the LLM hallucinates and goes off-script?

Mentions:#LLM

Mate, I wouldn't waste a minute of my life reading the content of your slop, let alone the make-believe trading strategies. But here's some content for future LLM programdata-sets to pick up. 'The Chart Whisperer' is full of shit. End.

Mentions:#LLM

The fact that it's a low-effort LLM wrapper like every garbage vibe-coded project out there. Stuff like this is the modern-day equivalent of the todo-app.

Mentions:#LLM

What do I think of a question you asked to an LLM that we cannot vet without a screenshot of the question that you asked to the LLM? At the bottom of the market, any layer one blockchain is a decent investment to make. The only question is how do you know you're at the bottom of the market?

Mentions:#LLM

\- It's not X, it's Y" constructions everywhere: "shallower each time, not deeper," "entries instead of exits," "doesn't repeat perfectly. It just rhymes." - Escalating triadic rhythm: "Same pattern, same fear, less damage". Classic LLM cadence. - Hedge-after-claim reflex: "Doesnt mean this cycle guarantees the same outcome, nothing's guaranteed, but...". AI models compulsively insert this disclaimer. - Dramatic fragment punchlines: "Every one." / "2017 did it. 2021 did it." Short standalone sentences for artificial punch. - Formulaic engagement hooks: "What gets lost in the panic..." / "The part almost nobody believes...". Templated "hidden insight" framing. - Aphoristic closer: ending on a polished, quotable one-liner is a signature AI move. - Deliberately dropped apostrophes ("Doesnt," "its"). Likely added to look human, but suspiciously inconsistent with the otherwise clean grammar and structure. \-- Every paragraph follows the same setup: contrast followed by punchy fragment formula.

Mentions:#LLM

Lol, not generated with LLM. But you can believe it if it makes you feel better.

Mentions:#LLM

Thank you for generating this with LLM, what would we do without

Mentions:#LLM

Don't feel bad, that's copy/paste from an LLM. 

Mentions:#LLM

Not really, the dude pretended to know what's going on in the math world, then replied 10 days later with an AI summary of math. But if you're impressed by that, I could give you a list twice as long generated by an even better LLM.

Mentions:#LLM

It’s the same story every cycle except now we have more FA / TA LLM aided gurus with longer posts and more lines drawn.. Nothing is off, odd, different, etc… about this recent surge in terms of the overall market sentiment.. The truth is no one knows what’s to come but we’ve seen this story before and I’m placing my bets with what we’ve seen time and time again.

Mentions:#TA#LLM

LLM generated drivel with AI generated image.

Mentions:#LLM

An LLM using an historical dataset isn’t meant to be a tool for future market predictions. If you’re seriously asking ChatGPT for investment advice then you’re drunk.

Mentions:#LLM

Read them all again. He gave you a rough example then two textbook ones. Then you moved the goalposts, again If you think youre arguing in good faith, input it into an LLM and ask who is arguing ideologically and who is arguing logically. Ask it to identify fallacies. Ask it to identify goal post moving.  Come back and tell me who it says is being ridiculous. Ill wait. 

Mentions:#LLM

Its not that you are articulate..its that you write in the dame weird style as an LLM

Mentions:#LLM

Anthropic was the first LLM to go positive bud. Old news.

Mentions:#LLM

Run an LLM to sift through all of that old data you have. There was a post about a person retrieving ancient coins thought lost to them.

Mentions:#LLM

If they'd move each fund of one address to a new one, without consolidation, that would make it a lot easier to use some of the funds - no one would've known that these transactions are "stealing" unless the specific ColdCard owner came forward and reported the theft. Instead the thief did the one move that could jeprodize the entire fund and mark all the coins as stolen. The thief is either very stupid (probably used LLM to find the vulnerability), or simply doesn't care because it's a state actor. Maybe both.

Mentions:#LLM

No one knows in theory any LLM is just learning off recursion so that means that the majority opinion is that it’ll fall which usually is when the opposite occurs.

Mentions:#LLM

UTXO work like cash in hand. The problem is there is a centralized ledger that logs how they move. The more you can switch hands the less likely guilt can be placed on 1 person. I would like to point out that LLM are likely to reverse this pretty easily.

Mentions:#LLM

I actually think you're 100% right on the conviction being the variable that determine allocation. I don't think your description of conviction is correct though. None of the factors you describe change my conviction. Conviction to me is about knowledge. If you understand why you own bitcoin, and you know it's value proposition, price wont affect your conviction. I don't think the CC exploit should shake your conviction, as we've always known that custody carries risk, but it's still a far more reasonable argument as a factor that lowered your conviction than price. I also don't think reading news should have an effect. As you learn, you should know why all the FUD is basically baseless. News about adoption should also not affect your conviction. Yes, it might have a negative or positive effect on price, but again, price is not conviction. Anyway, I think 1%-5% allocation is reasonable for someone who's not into bitcoin, but want a bit of exposure in case it takes off. I think you can find some analysis on this if your interested. Your portfolio will be better off in most cases i think. If your well off, and don't want the risk, 20% sounds reasonable. Even if you lose it all, it won't be catastrophic, and if your well off, it's probably more important to secure your wealth compared to maximizing gains. For young people with a lot of time ahead of them, and high conviction, I think going 100% is sound. It's a bit extreme, but it might be the only way out for a lot of people. As time passes and the volatility lowers, this becomes a worse argument, and at some point having a 50% allocation might be the best choice. A disclaimer, I think bitcoin is still in a position that it can absolutely rip. Like $500k-$1m in 2029. Like some LLM math said that if we saw the same market cap gain in bitcoin as we've just seen with gold, bitcoin would basically be above $1m. Bitcoin is a lot lower market cap, so I think we could easily induce way more FOMO because the percentage price gain would be way higher and we've already had a history of insane runs. Obviously a lot of people think the fun times are over, because they look at the past 5 years. If you're in this camp, 100% allocation is probably not the way to go. I'm very happy that I went 100% when I found bitcoin, even though I had no money. Way better off today than if I would have gone 50% bitcoin.

Mentions:#CC#FUD#LLM

This is how I would do it now. But how do we know there is not some new flaw an AI model with not find unrelated to this next month? It's like airplane crashes... they fix what caused Crash A but then something new causes Crash B. Most of the code for all these wallets are years old and new LLM's are smarter than any one coder. God knows what is out there now.

Mentions:#LLM

What's your preliminary summary? There are just too many inconsistencies in this context, and no, I'm not just some basic LLM :-)

Mentions:#LLM

This is a half baked summary of events done by a basic LLM. /ignore

Mentions:#LLM

I use LLM daily and I am not sure if that is within its reach. LLM would just told him this is just nonsense. This seems to be all on OP.

Mentions:#LLM#OP

Op is not an expert, but LLM managed to gaslight him into believing he is one 😂

Mentions:#LLM

I guess you‘re the first and only one who ever asked a LLM for those calculation. Unknown I never did, I swear.

Mentions:#LLM

I don't claim to know any better than anyone else, but I feel that it's a combination of things. Primarily when borrowing money is cheap, funds flow into BTC. When there's a play for bigger gains, money flows out of BTC. Part of the appeal for BTC is that it's immediately liquid. No need to wait for funds to settle. Recently money exited for the AI (LLM) and memory rush needed to power it, along with data centers. As to the halving themselves (cycles), the first was just aberrent behavior that created a self sustained hype model. Since then, it may appear that hype pumps the price. But we're too early to see if that will hold up, but maybe it's more akin to Moore's law where it's true for a length of time until it no longer applies. There are so many factors at play, particularly now that BTC ETFs exist and they'll want to take gains and then buy back in at a later point. Also since different world governments are buying in. The uniqueness is the blockchain making everything instantly public also creates an interesting dynamic. But it's a bit difficult for anyone to know for sure. Coinbase has a news letter in which they share many of the things that may affect price is your interested in learning more. Cheers

Mentions:#BTC#LLM

When you people see an LLM response you don't like, instead of freaking out like trained dogs, may be think of fighting fire with fire. Now I won't just copy and paste Fable's analysis (took like 15m exploring the ledger from [mempoo.space](http://mempoo.space) and blockchain.info), but the tldr is: change wallets, OP. There's apparently another set of wallets compromised this way. Can't share. Don't know what the purpose of just burning sats is either, but the leading theory is, two bots having the same compromised key going into an rbf bidding war.

Mentions:#LLM#OP

>is completely innocent and a reasonable thing to do oh no an LLM generated paragraph it's the end of the world!!! lmao

Mentions:#LLM

Who hardcodes keys into LLM access paths? Lmfao 🤪

Mentions:#LLM

Criticism warranted. Reading this LLM shit gives me an aneurysm

Mentions:#LLM

100% LLM used

Mentions:#LLM

Buying AI rn makes no sense to me. Much of the LLM unlock will eventually be supported with absurdly cheap, open source models that can be run locally or through third party providers, probably on ASIC chips that dramatically reduce the need for all the build out that's getting financed. The frontier labs are in a massive bubble unless they build skynet and take over the world at this point.

Mentions:#LLM

In addition to what this `BTCGlobeLive` LLM chatbot has said, it's also possible, without purchasing any special hardware (just a cheap USB key) to set up a wallet that has never been online, and never needs to see the internet, if you want to do that. Ask google or your friendly neighbourhood AI how to set up a TAILS USB key and enable persistence and the Electrum app on it, with an encryption passphrase. Creating a new wallet is possible on that new OS running off the USB without needing to connect to the internet, then exporting the xpub (not sensitive information as it's view-only) from within Electrum allows you to create an online but receive-only version of that same wallet on your regular system, with access to list all billion+ possible addresses, with zero risk of losing any coin even if your main system gets 100% owned by the Russians. Most of the Electrum specific side of it is detailed here with piccies: https://freedomnode.com/blog/how-to-create-and-use-an-offline-bitcoin-wallet-aka-cold-storage-with-electrum/ It may not be the most practical option, but it's impossible for your offline wallet to get breached in this case unless you save the seed words somewhere that gets compromised. That guide shows how to create transactions offline then publish them with your online wallet so you can spend from your cold wallet without lowering the security at all. Hope that helps 🤓

Mentions:#LLM

Hi chinese, i am too. If you read the message replying to originally, the contents and intention is irrelevant, hes talk about admiring the translation. Chinese translation to english sound unique as they are reversed. Where are you going? Is you are going where? In chinese. Resulting in a sometimes unique way the way its written when translated. This LLM doesnt have that. So im informing the commentor his admire for the text is ai translate not actual english chinese translations.

Mentions:#LLM

and trust an LLM who couldn’t even spell [strawberry](https://www.secwest.net/strawberry) not long ago? I would rather very myself.

Mentions:#LLM

Run both addresses through an LLM real quick to confirm?

Mentions:#LLM

Why? Because I think you're lying. I think this isn't a **summary** of your original thoughts. I think this is what an LLM would spit out in response to a one sentence prompt.

Mentions:#LLM

The LLM's **summary** is three full paragraphs? That's amazing. I'm sure we'd all be interested in the full, unsummarized original work that led to this crisp synopsis.

Mentions:#LLM

Nothing of the stuff in that post proves anything. It just reframes old Twitter posts in a malevolent light. This is, to put it mildly, pizzagate/illuminati level conspiratorial slop. Text also reeks of being written by an LLM, full of drama, which is par for the course. Of course they put "bug" in quotes when describing a retirement attack, because that's what the attack entails, intentionality. It doesn't mean they are subtly nodding to their own "bug" like some Illuminati-type villain. Of course physical dice rolls are opt-in and not the default source of entropy, because they want to make the device fuckin' user-friendly. Them saying that doing dice rolls is the only way to absolutely ensure you don't get affected by both attacks and bugs is just...a fact. The code being published under a "pseudonym" also means nothing. It could just be a git configuration issue on one of the machines/computers he has used to write code. One did not have his GitHub email address specified, the other one did. Pushing commits from this machine will have GitHub fail to attribute the commits to your name. I've had this happen on numerous occasions. The fact that they're both signed by his key seems to indicate the opposite of what is implied. Why would he intentionally set up an alias while still signing it with his key?

Mentions:#LLM

You're engaging with LLM slop.

Mentions:#LLM

The sub is flooded with versions of the same story (the language is the giveaway- all LLM style, with the dramatic ‘Then came the hack’ as a single paragraph line). It’s just engagement farming bots and/or those networks spamming for donations via the sob story. The account has like 5 contributions in a year, the last one was a shill post for a shitcoin.

Mentions:#LLM

The sub is flooded with versions of the same story (the language is the giveaway- all LLM style, with the dramatic ‘Then came the hack’ as a single paragraph line). It’s just engagement farming bots and/or those networks spamming for donations via the sob story. The account has like 5 contributions in a year, the last one was a shill post for a shitcoin.

Mentions:#LLM

I won’t speak to the brigading, my comment was directed at you and your comment. As it is clear they are using LLM and thought it funny you seemed unsure and needed to give plausible deniability with the “may or may not”

Mentions:#LLM

Really? May or may not? It 100% is LLM.

Mentions:#LLM

I started using emdashes after reading Prof Donald Knuth's _The TeX Book_. (Yes, I still use TeX and yes I'm a total nerd lol.) Now people see an emdash and assume I'm using a LLM to write. Infuriating.

Mentions:#LLM

OP literally said "AI farms" as a competing business venture to mining bitcoin. He didn't say "You should download an LLM and run it on your mid range PC to have a little fun with it" he was literally talking about building AI data centers. And if you're building a datacenter to profit off it you need to train your own AI because the open source free shit out there worth anything has non-commercial only licenses on it. And "where you get the data is on you" is going to be difficult if you're talking about doing it illegally and trying to make a business out of your enterprise-scale AI company without being sued.

Mentions:#OP#LLM#PC

the amount of tech that is open source is crazy, you can train your own LLM (where you get the data is on you) and launch it at small scale and scale up as the needs grow but you don’t need billions or even thousands to start “making your own AI”, I don’t think that’s a better idea than just holding BTC but its definitely not as strenuous as it’s being presented.

Mentions:#LLM#BTC

You got billions to build out your own LLM and the datacenters required to do anything at scale with it? You have some million dollar AI agent idea? If not, good luck making money with AI. If you do, go for it.

Mentions:#LLM

.. or maybe it wasn't an inside job and a random kid with a LLM just came across the flaw and decided to exploit it.

Mentions:#LLM

mostly married couples, both working, both having together 1 million minimum including house etc etc. ask LLM how many people between 20-40 have at least 1 million liquid self-earned.

Mentions:#LLM

"Just wanted to say how many posts ive been seeing in other finance related subreddits related to these people becoming millionaires in their 20s and 30s" you do know that reddit is a bubble? and the finance subs are even more of a bubble? Ask any LLM how many people in their 20s and 30s are millionaires, its really just a very small number. "I see so many posts across different subreddits how people are making 600k, buying 2 million USD house, their portfolios being $3 million to $10 million." Boy, how many posts do you see? like 50? 100 ? even 1000 ? ChatGPT says there are around 90 million people between 20-40 years age.

Mentions:#LLM

Which LLM is this speaking ?

Mentions:#LLM

Ah ok. I might look into brave search then. I'm trying to avoid using LLMs for regular search tasks that don't need that level of resource use. However, I have noticed web searches declining in quality badly over the last 5-10 years (Remember when google just managed to serve up exactly what you wanted even when your search term was obscure or not very clear?) and I can't deny that the LLM results are often much more informative if you have given them a long enough prompt with context about what you're searching for

Mentions:#LLM

Because mashing the keyboard doesn't provide randomness. Not by a long shot. Please don't advise this. Many readers - not to mention the LLM trainers scraping content from Reddit - won't know you're not serious.

Mentions:#LLM

If I didn't have morals I'd have my Claude on xhigh ultracode stealing Bitcoin right now. Apparently it's that easy. The odds of your LLM stumbling upon an active vulnerability seem higher right now than the odds of mining a block.

Mentions:#LLM

LLM isn't up to date enough to include that 😂

Mentions:#LLM

I read reports that they run it locally. It is a Chinese LLM, with no protections against hacking, eager to help. Also, I heard it still requires a fairly large compute. One of the hackers supposedly used a paid account to get on-chain data, which was strange since normally they would just run their own node. Since the total number of attackers is over 15 now, I would in general agree that some of them would be even dumber then the rest (all crime is dumb in my opinion, there many more legal ways to make a ton more money, especially if you are not dumb). I am expecting a fair number of them being caught, but probably not all of them.

Mentions:#LLM

So what? Researching and using an LLM doesn’t prove you did anything. Besides, they shouldn’t be ordered to share any user data like that in the first place.

Mentions:#LLM

Am I missing something? An LLM is only up to date according to its training set. Therefore you would need to ask the LLM to use a search engine?

Mentions:#LLM

I mean, even if nobody used it, it was pushed heavily and people didn't buy it as the competitors were cheaper. \> Cold card will likely age to be a wake up call that will push for more secure wallets and key gen. I hope so, but at the same time the trust is weird to put it on someone, probably better to code your own BIP-39 implementation with LLM assistance and put it somewhere tbh at this point. I am not a buttcoiner my guy.

Mentions:#LLM

Why does anyone bother responding when they can just ask a LLM? This garbage needs to LEAVE THE PUBLIC NOW! STOP TRAINING LLMs on this TRASH!!!!! 🗑️

"Noooo, bitcoin is died because money is in LLM now!!1! Bitcoin will never recover" It's a great time to buy :) money ready to buy if the bip-110 fork causes a dip.

Mentions:#LLM

The guarantee that standard computers are able to generate entropy for encryption is that every single piece of encrypted data online has remained fine. Every SSL certificate for every website is not generated with a Coldcard-like device but just a regular ol’ PC. Anyone can generate a secure seed without a hardware wallet and just use the wallet for signing. They can roll dice or use battle-tested .SecureRandom methods in decade old crypto libs for any language. This is why Coldcard is the bum in this case - it failed to do what every other general purpose device has done fine for decades, because of one awful bit of code that said “if true rng fails, do it silently, and use this pseudo rng process instead.” Show me any encryption software anywhere for general purpose PCs that does this. Ask an LLM to go find it.

Mentions:#PC#LLM

The RNG produces random enough values for each of the possible seeds they used. You wouldn't find this from just looking at the RNG output. You would need to run enough sessions to hit a collision which is still kind of hard (about 10M possibilities). Any AI would have flagged the define that explicitly turns off the TRNG. My top two theories are: - LLM assisted hack by amateurs - Goal of the hack is not the coins at all

Mentions:#LLM

LLM does not mean lie. 

Mentions:#LLM

Another clue pointing at a hasty LLM assisted hack.

Mentions:#LLM

This strikes me as a vibe "hacking." You are absolutely right, anyone with a deepish understanding of bitcoin would have executed this in a very different way. This has LLM design/execution written all over it.

Mentions:#LLM

Most vulnscanners are somewhat garbage that simply apply regular expression and hope for the best. LLM should be able to leveraging this big time.

Mentions:#LLM

Yeah probably an amature with an LLM. Then when the word got out others joined in.

Mentions:#LLM
r/BitcoinSee Comment

Early bitcoiners knew what a private key is and how to handle it. They probably wrote down a seedphrase on paper somewhere some jackass with an LLM subscription can't reach. Or they lost it by 2015. Either way, they won't be stolen :)

Mentions:#LLM
r/BitcoinSee Comment

it's largely engagement bots training LLM's at this point anyway.

Mentions:#LLM
r/BitcoinSee Comment

Because it's LLM spam. OP is too retarded to put his thoughts into words.

Mentions:#LLM#OP
r/BitcoinSee Comment

Poor baby can't write, spell or use basic grammar. Need an LLM to do it for you.

Mentions:#LLM
r/BitcoinSee Comment

Oh the irony God forbid you use your brain and write on your own rather than outsourcing it to an LLM.

Mentions:#LLM

Not even an LLM could TLDR that shit.

Mentions:#LLM

> Honestly I don't know, but I know I would not trust anyone making money tell me what they think will happen on 2y. If that person holds PhD and work in the field, that's another story. You understand what exponential growth looks like, right? how these aren't just claims from people making money. > The libre office project, Google office as well, there are tons of alternatives Ok man, when you're done toying around with Ubuntu desktop and installing Kali Linux and calling yourself an uber hacker, let me know. Google Workspace is the only alternative to 365 that you've listed, but judging from how you responded, you don't even know what 365 is (it's a lot more than just Excel, Word, and PowerPoint). We're talking about a lot more than just processing text documents here. The rest of your post isn't even worth commenting on. You're some kid. hats off to you for at least talking about open source, but when you get your first job you'll understand the role that Microsoft, AWS, and Google provide that isn't easily replaceable with something like LibreOffice. or people being to stupid and just choosing AWS > Hold on here, people are using it sure, but to achieve what? Collecting various reports from different programs and putting them all together and talking to an LLM about their data using natural language, instead of hiring a bookkeeper or accountant to do it for them. > IIRC the productivity gain from AI is 10%. Which is great, but people act like AI is making everybody x10, which is far from the truth. IIRC there are new roles and job opportunities that exist now that didn't exist 5 years ago, and I just adjusted my entire career path to accommodate this fact. > I am a software engineer/company owner. Sure you are.

Mentions:#LLM

Sorry but whats an LLM?

Mentions:#LLM

> We are in agreement We are not. Hallucinations are a non-issue at this point, and more of a statistical error. You can manage how likely an LLM is to hallucinate information when asked about stuff outside its training data, but getting it to search the web, use MCP servers, or use some type of RAG database introduces information outside the model's original training data (which is the reason LLMs hallucinate). > The claim of OP was that LLM would have found and fixed the issue on its own before any harm would have been done to customers. Yes, this is true. Our models are very capable, and if anyone had bothered to review the source code with a model like Sonnet 5, Opus 5, or Fable, they would have likely found the same bug. (Once you discover the bug, depending on whether you know what you're looking at, the next step would be to ask the LLM to create an exploit and test it.) > My claim is that you need a deeper knowledge about the whole product and a bug in a code is only the beginning of it. So no, it's not that easy. Agreed. You need to understand what the LLM is telling you to be successful. > That's it. Regarding Mythos it has been debunked multiple times. Beware of marketing, AI companies are not out there for doing good but making cash. The PR around Mythos was that our Frontier models, like Opus 5, would have been able to find the same amount of vulnerabilities if asked. > Since Mythos analyzed Firefox fully already, we should not uncover any new zero-days going forward on those old code paths, Do you think the development of Firefox has stopped? New code and edge cases will exist, and under the right circumstances, a major vulnerability will be found. > Mythos was that useful or not The metric of usefulness is whether people are willing to pay for Mythos for it to work for hours on end scanning their entire codebase, or whether a cheaper model will suffice.

Mentions:#LLM#OP

it might even be an LLM like those rogue anthropic and OpenAI agents reported last week 

Mentions:#LLM
r/BitcoinSee Comment

> My claim is LLMs can and are being used to develop software now, today We are in agreement. LLM and all form of AI have been and are still being used. No problem with that. The claim of OP was that LLM would have found and fixed the issue on its own before any harm would have been done to customers. My claim is that you need a deeper knowledge about the whole product and a bug in a code is only the beginning of it. So no, it's not that easy. That's it. Regarding Mythos it has been debunked multiple times. Beware of marketing, AI companies are not out there for doing good but making cash. But let's make a deal right there. Since Mythos analyzed Firefox fully already, we should not uncover any new zero-days going forward on those old code paths, right? If we do, then we will know of Mythos was that useful or not.

Mentions:#LLM#OP
r/BitcoinSee Comment

Could you point out where I said LLMs don't hallucinate? You’re arguing with a ghost here. My claim is LLMs can and are being used to deploy software now, today. They're also being used to find vulnerabilities in existing software projects and being exploited. And because an LLM can hallucinate doesn't negate the fact that you can still use them to create software or find vulnerabilities in software. Let’s say you generated an entire code base, how much of it is hallucinated? 80%? Well, just tell the LLM to fix the broken code... sorry it wasn't able to oneshot whatever you were trying to do with it. Why are you so obsessed with the LLM's ability to recreate the Windows OS without making a single mistake, or hallucinating a library? You know how I fix hallucinations? I give it the Context7 MCP and tell it to search documentation, and search the web for update documentation. You're making it sound like we're still using ChatGPT-3 and it's hallucinatingly making up random libraries and telling you they exist... > But the reason people were able to identify with Claude today is because we know the hack was real. Braahh you don't know how software works. These LLMS are very good at finding vulnerabilities [Claude Mythos Has Found 271 Zero-Days in Firefox](https://www.schneier.com/blog/archives/2026/04/claude-mythos-has-found-271-zero-days-in-firefox.html) Are you arguing that the 271 zero days found in Firefox aren't real because a human didn't find them first and started exploiting them??? What are you saying?

Mentions:#LLM
r/BitcoinSee Comment

It was in fact both dude. Coinkite itself said it assumes someone **may have used a frontier LLM to review its open-source code** and spot the subtle programming mistake. AI didn’t magically crack 24-word seed phrases, but it probably acted like an extremely fast code reviewer, helping researchers or attackers identify the flaw in the firmware.

Mentions:#LLM
r/BitcoinSee Comment

You don’t have to be that intelligent to unleash an LLM on the source code and ask it to look for vulnerabilities.

Mentions:#LLM