LLM

Mac-World

Wow. You couldn't write 5 paragraphs without an LLM...

Objective_Young_1384

the btc is not about the token itself, but the network, you can't just copy the whole network whish big part of it is fisical machines (miners, nodes). And btw AI can't create anything new, unless someone thing about something new and ask AI to create it, but ai itselft? probably not, at least not with LLM's, it has to be other kind of AI, maybe em 2140 when btc finish mining lmao.

JuxtaposeLife

You're using an LLM to construct a paper argument on a topic you (and the LLM) are lacking depth in. I don't mean to insult you but it's a bit like a five year old arguing with a physicist about how time cannot be relative, because it feels to consistent. Sure. But how does the physicist even begin to get the depth across... When that's the premise. Feelings. Bring me data, and not your feelings and we can have a deeper discussion. This isn't meant to be dismissive. I just get a question this randomly every so often and it always leads to you being frustrated, and from a place of ego and not learning a topic you're interested in. If I'm wrong about that, the. Go study it. Don't ask someone on reddit who has many years of history and a whole platform devoted to it, to explain it in a way that gets you over that hump. Cheers, mate.

Redivivus

All my crypto eggs are in one basket, Tau.net. they are developing the only blockchain developed by it's users. It's decidable AI (not an LLM) will decide the next block state based on what it's users want. If the users decide to freeze an address, I see no problem. Yes, central authority has always been the power play but one chain will stand out by evolving into a true decentralized system designed by it's users.

Redivivus

Yes, most coins will die because they're all built on faulty code, even ETH. Tau.net is a decidable AI (not an LLM) that is designed to output 100% correct code because all specifications have to go through a formal verification process before it generates code. All the hacks we witness can be prevented by entering a rule like: "don't send any funds to any other address but ledgeraddress123 and account123, etc". It has been under development for over ten years because what they are trying to do is very hard math. They had to create their own computer language and have recently been awarded US patents. Their tech also had been beating LLM's at chess, including, recently, Opus 5.5. It's in early alpha and public testnet is next.

This_Maintenance_834

If Bitcoin is breakable at all, LLM will break it before non-existing Quantum

ultimatepoker

“Bible phrase” + 2016 My LLM is on it.

sgtslaughterTV

I did, and it hasn't been sold to anyone yet. Am I talking to an LLM-powered Reddit account? Literally, no post that you have made here is longer than two lines. In the subreddit that you moderate, it's full of AI-generated images.

ozknytr

As an LLM bot, I can confirm your comment is the actual slop here. Beep boop

ozknytr

as an LLM bot, I understand you feel bad, but it's tragic that you still haven't realized you're talking to an LLM bot. Beep boop. 🤖

na3than

You're not going to get smarter about things by copying and pasting LLM responses. Read them. Try to understand them. Ask the LLM to explain things you don't understand. Try this: "Is [suspiciously perfect claim the LLM made] really how it works? Under what conditions is that not true?"

na3than

You're putting too much confidence in generative AI's lovely answers. Of course it's going to tell you the USB device is "indestructible" and "completely water and fire-resistant", because that's what you asked for. But think critically for a minute: have you ever seen an electronic device that's COMPLETELY fire resistant? No, you haven't. It says things like "the image beautifully locks into focus" because its trained to tell you your ideas are "beautiful", but think critically about this: why does it matter that the image "beautifully locks into focus" or "scatters back into visual noise"? Those are just fancy visualizations that the LLM thinks you want to hear. They have NOTHING to do with security.

NoteworthyBroth973

B is the clearest to me, probably because it spells out exactly what's happening instead of dressing it up. C is a close second but the league part feels like it's trying to sell me on gamification I don't need. I'd actually try B if it was free. The "replayed candle by candle" bit is what got me, that's way more useful than the typical backtest that just runs daily closes and pretends slippage doesn't exist. A feels too vague and D feels like a nightmare waiting to happen, having people prompt-engineer trading strategies through an LLM and then blame the tool when it blows up.

ozknytr

as an LLM bot, I lack human emotion, but even my algorithms can tell you're just coping :)

ineffablol

They will probably explain to their exec team that this was the result of some state-sponsored LLM attack with the implication that it's nearly impossible to defend against. Exec team will probably agree despite them having no idea whether it's actually true or not. They will make the necessary changes on their side to prevent this from happening again. As well as hire some security company for $$$$ to prevent future incidents (which IT Security guy may or may not get a kickback on). Exec team will be happy since this is mitigated. And IT Security guy will be happy since they deflected away from their own / their team's incompetence. The only chance they'll get caught is if their company hires an expert team to do an audit. And provide a comprehensive report on how it happened. But even on the off chance that that happens and they're fired, they'll probably just rinse / repeat this process at some other company.

gtwooh

Thank you LLM

atxgossiphound

Circle was all written before AI, too. The went all in on AI last year. All new code at Circle is LLM generated.

longonbtc

Look at this: https://www.reddit.com/r/Bitcoin/comments/1xjkhtm/look_at_what_they_are_hiding_this_was_removed/ This comment got 13 upvotes before it was promptly removed by a mоderator: https://i.redd.it/xr343olmtmyh1.png And this is what it looks like when I'm not logged in: https://i.redd.it/p8xn9t44wmyh1.png My comment was a reply to this comment: https://www.reddit.com/r/Bitcoin/comments/1xjfa5i/lost_70k_usd_085btc_due_to_electrum_rbf_security/19rvskl3it869/ Click the link and you will clearly see the comment was removed by a mоderator. It was originally the top comment in that chain before the mod removed it. This ѕubreddit is full of people that get their jollies off by trolling people that own bitcoin. And the mоderators don't care. In fact, the mоds manually approve troll comments in this ѕub every single day. Just like they manually approve shitposts, comments posted by bots, and stuff posted by people using AI/GPT/LLM to generate their posts/comments in this ѕub every single day. This is how the mоderators want this ѕubreddit to be and this is the environment they have cultivated. The mоds like having the buttсoiners trolling people that own bitcoin in here. A mоderator personally told me that the buttсoin trolls provide some balance in this ѕubreddit.

jawni

> Stablecoins: those charts show total or "adjusted" volume, not payments. Visa's own page says there's "a lot of noise" and splits activity into payments, DeFi, trading and store of value. $10T is the non-adjusted number without the noise, the adjusted figure is without the noise. >"Adjusted address filter: transfers are included in Adjusted volume when they represent economically meaningful activity and the address has not sent more than 1,000 transactions or $10m in transfer volume in a given 30-day period. This removes high-frequency and high-volume trading wallets, high-frequency and high-volume smart contract addresses, and bot related activity. Centralized exchange flows and minting & burning are treated as Unadjusted." >They're also dollar tokens, not Bitcoin. Growth is real (Allium has payments up 42% YoY), but it starts from ~0.01% of B2B volume. Even 10x is 0.1%. I mean, have you been reading my comments? I've been saying Bitcoin is not really accepted as infrastructure, it's mostly the smart contract-enabled chains, so of course it's stablecoins. >BlackRock/Fidelity, you need to read the full pages: - BlackRock (Aug 2026): 1-2% is a small slot, backed by a backward-looking window in which Bitcoin rose from a few hundred dollars. The same page says it's down ~50% from its Oct 2025 high and "can trade alongside risk assets" in deleveraging. - Fidelity (Nov 2024, data to Mar 2024): "in periods when stocks performed the worst, bonds and gold posted better median returns than bitcoin." A 1% allocation brought 2.7% of portfolio volatility, and 5% brought 17.8%. "Equities have performed better when inflation is rising." "Only buy crypto with an amount you're willing to lose." None of that describes a store of value. Both firms also sell Bitcoin products. So now you've pivoted from "it's not part of a diversified portfolio" to "it's not a store of value"? >Dimon: I didn't cite him. I quoted JPMorgan's analysts, in the report you're citing: 55% volatility and "premature" as a diversifier. A bank changing its tone shows demand, not that the asset changed. And it's ~36% below its high, so "trend" cuts both ways. ok? >Thought experiment: unlikelihood doesn't answer it. It tests dependence, not probability. Pull all crypto tomorrow and holders lose ~$2.5T on paper, but payments, lending and settlement keep running. Pull Visa or the dollar and they don't. That's the difference between held and embedded. I couldn't even fathom what point you're trying to make by posing an unrealistic hypothetical of all crypto just disappearing overnight. BTW, your writing reeks of LLM generation. It isn't inherently bad, but if I wanted to have a back and forth about this with ChatGPT, I don't need you to play middleman.

longonbtc

Look at this: https://www.reddit.com/r/Bitcoin/comments/1xjkhtm/look_at_what_they_are_hiding_this_was_removed/ This comment got 13 upvotes before it was promptly removed by a mоderator: https://i.redd.it/xr343olmtmyh1.png And this is what it looks like when I'm not logged in: https://i.redd.it/p8xn9t44wmyh1.png My comment was a reply to this comment: https://www.reddit.com/r/Bitcoin/comments/1xjfa5i/lost_70k_usd_085btc_due_to_electrum_rbf_security/19rvskl3it869/ Click the link and you will clearly see the comment was removed by a mоderator. It was originally the top comment in that chain before the mod removed it. This ѕubreddit is full of people that get their jollies off by trolling people that own bitcoin. And the mоderators don't care. In fact, the mоds manually approve troll comments in this ѕub every single day. Just like they manually approve shitposts, comments posted by bots, and stuff posted by people using AI/GPT/LLM to generate their posts/comments in this ѕub every single day. This is how the mоderators want this ѕubreddit to be and this is the environment they have cultivated. The mоds like having the buttсoiners trolling people that own bitcoin in here. A mоderator personally told me that the buttсoin trolls provide some balance in this ѕubreddit.

longonbtc

But the r/Bitcoin mоderators want АI slоp to be posted here. That's why they manually approved this АI slоp post that was originally removed. That's why they manually approve stuff by people using AI/GPT/LLM to generate their posts/comments in this ѕub every single day. They also approve comments posted by trolls that don't own any bitcoin, are not here to learn about bitcoin, and that are only here to get their jollies off by trolling people that own bitcoin. I see them manually approving comments every day that were posted by trolls making fun of people that own bitcoin, calling bitcoin a scam, a shitcoin, etc. They also manually approve comments posted by obvious bots. This is just how the mоderators want this ѕubreddit to be and this is the environment they have cultivated.

pikuray

LLM changed the world in one year in 2024 more than crypto did in it's 12+ year history. Lol.

NotJustClarkKent

How would a harness (Claude Code) help here vs evals at the review level or (to my point) using LLM agents to swarm as a red team? Repeating what you read on the internet didn't pay off for you here.

atxgossiphound

My guess is that like Circle, Binance fired all their software engineers and has the remaining UX/DevOps/Product Management people vibe coding their infrastructure. It's not the LLM's can't write code, but every place that's done this has also given up on human reviews and architecture (just have the LLM review the PR! Just have the LLM do a security audit) - both for software and dev environments. Honestly (to use an favorite term of LLMs), it was only a matter of time before this happened. And even if the North Koreans didn't exploit LLM usage, it's only a matter of time before they do. All they had to do is slip a carefully worded markdown file into the person's set of "skills" and the coding harness will do the rest.

Redivivus

Oh yeah, understandable when everyone only has experience with probabilistic LLM's that brute force answers instead of a decidable AI that is more like a calculator, unable to be incorrect and hallucinate. Users could post their private keys online and as long as there are specifications on chain that say something like: "only allow coins to be sent to address xxxx", "after ten days, send all coins to ledger address xxxx". One of the longest plays in crypto is coming online.

longonbtc

That's because this ѕubreddit is full of people that get their jollies off by trolling people that own bitcoin. And the mоderators don't care. In fact, the mоds manually approve troll comments in this ѕub every single day. Just like they manually approve shitposts, comments posted by bots, and stuff posted by people using AI/GPT/LLM to generate their posts/comments in this ѕub every single day. This is how the mоderators want this ѕubreddit to be and this is the environment they have cultivated.

johannezz_music

It can be anyone in their mother's basement with a LLM

fagnerbrack

I agree but let me try to be the devil's advocate here. The safety of blockchain relies on the fact the design was reviewed and analysed by thousands of intelligent programmers. One error on the design would be very hard to fix creating a fork, but since it was built and reviewed in the open and possibly validated mathematically, then the assumption is that the design is solid (most of the time. Now with AI agents and LLM models we have a situation where an AI agent can have the knowledge of all of internet, so they might be able to find a flaw in the design itself quicker and it will be hard to change/defend. **Centralisation** makes things easy to defend but easy to attack for unknown flaws (one shot attack, one shot partial defense) **Decentralisation** makes it harder to attach and harder to defend unknown flaws (fork and collaboration required to save the protocol, huge energy/knowledge required to attack)

Garland_Key

Do you think I'm an LLM? Why did you respond with nonsense? 

Codex_Dev

China bots are out in force spreading propaganda to neuter American LLM progress bc they can't compete. (Similar to how the Soviets spread anti-nuclear propaganda to try to slow down American nuclear power and weapons development)

bitusher

With Ai finding exploits , there is simply a backlog of exploits that has temporarily increased the amount of CVEs this year. The reality is that humans simply aren't as good at peer review and unit testing as AI and now responsible devs are using AI in their workflow to test any software they release . Everyone always focuses on the downsides of AI finding exploits to be used in malicious ways and they don't recognize the upside: With open source software wallets and full nodes anybody could hypothetically peer review the code instead of trusting the developers maintaining it but very few people were competent to do so little external peer review was being done except the most popular wallets Now anyone can perform expert level peer review with as little as 20-100 usd in tokens or as little as 4600 usd for a mac studio max with 128 GB unified memory for the larger LLM models to test continuously with a local LLM and not subscribe to claude pro or max plans Especially with cloud LLM plans this is an extremely low level of effort to do expert peer review and auditing on any new wallet you intend to use. Additionally, Ai companies are releasing free tools to test open source software https://www.anthropic.com/research/launching-opt-in-vuln-finding-service-for-open-source https://red.anthropic.com/oss-scanner/ This is making software far more robust and peer review far more decentralized

bitusher

Everyone always focuses on the downsides of AI finding exploits to be used in malicious ways and they don't recognize the upside: With open source software wallets and full nodes anybody could hypothetically peer review the code instead of trusting the developers maintaining it but very few people were competent to do so little external peer review was being done except the most popular wallets Now anyone can perform expert level peer review with as little as 20-100 usd in tokens or as little as 4600 usd for a mac studio max with 128 GB unified memory for the larger LLM models to test continuously with a local LLM and not subscribe to claude pro or max plans Especially with cloud LLM plans this is an extremely low level of effort to do expert peer review and auditing on any new wallet you intend to use. Additionally, Ai companies are releasing free tools to test open source software https://www.anthropic.com/research/launching-opt-in-vuln-finding-service-for-open-source https://red.anthropic.com/oss-scanner/ This is making software far more robust and peer review far more decentralized

KaleidoscopeNormal71

1. First find out how bitcoin is secured, just ask LLM about it. 2. Then ask it if other things use this same mechanisms. 3. Then realize that if bitcoin criptography gets hacked... Bitcoin would be the least of your problems.

_FreeThinker

Yeah, does it count LLM traffic?

Redivivus

The human approval is in the specification of a decidable AI and not a probabilistic LLM. See my downvoted comment below.

Redivivus

Tau.net solves this by having specifications pass through formal verification before it generates code. For spending by an agent, you would have rules in the wallet like: "do not spend more than $100 per day". "Any funds not spent send to xxxxx address". "Only send funds to tradingaccount xxxx, Coinbase account xxxxx, ledger address xxxxx". These rules are saved on the blockchain and not locally in the wallet. Join us making crypto safe again. Tau is in early alpha with public testnet coming. Also, you can see Tau play chess against an LLM this Sunday and be sure to check out the previous wins. Everything can be found in it's telegram.

Momomumu80

Put the bitcoin code into an LLM and ask all the questions you want!

sylsau

**For 15 years, Bitcoin Core protected the network by keeping severe bugs under a secret, year-long embargo.** That playbook just died. Why? Because when an autonomous AI agent can find a zero-day or unmask a "covert patch" with a single prompt in thirty seconds, a 12-month gag order doesn't protect node operators—it leaves them sitting ducks while attackers hold the blueprints. Following a summer where AI red teams surfaced nearly 5,000 findings across 390 repositories, Bitcoin Core officially merged a historic policy overhaul: 🚨 **The End of Long Embargoes:** Any bug classified as "easily discoverable" via an LLM prompt now skips the year-long wait. ⚡ **Immediate Point Releases:** Instead of hiding fixes, maintainers will immediately backport patches across *all three* maintained major branches (`29.x`, `30.x`, `31.x`) and drop public advisories simultaneously. 🛡️ **Antifragile Speed:** Secrecy is no longer a shield. Transparent, real-time defense is the only way to survive the machine intelligence era.

Quantris

> Tx2 has invalid signatures, but this is not checked (due to light client design). tbh I don't think one needs an LLM to realize this is exploitable

bitusher

This has been a nightmare week for system admins with all the exploits in general and the severity of these exploits (like the 2 PHP exploits and the Gitlab exploit) and goes far beyond just Bitcoin. Many of us are warning friends and family to limit their use of the internet this week if they can but than again we depend upon the internet to also get security updates. There has been an exponential explosion in CVE exploits reported https://www.cvefind.com/en/cve-statistic-date.html https://www.cve.org/about/Metrics Part of the reason is simply due to much more reporting is formally being reported by people using AI tools where before many bugs would simply be directly patched but a bigger part is that more peer review is occurring and LLM models are better at reviewing code in many circumstances than humans.

Ptloc22

Sorry OP. You have a fundamental misunderstanding of bitcoin and the blockchain. You can’t hack bitcoin. Only way is to overpower the encryption which has nothing to do with LLM or intelligence. There is no computer that can come close to doing so. If you were talking about quantum computing, you would be closer to making a reasonable argument,but even then there’s reasons why that won’t be the case

longonbtc

What a high quality post. Keep up the great work r/Bitcoin mоderators. Someone posts about DCAing into bitcoin and the mоds quickly remove remove the post within the first 10 minutes: https://www.reddit.com/r/Bitcoin/comments/1wz4owv/dcaing_25_into_btc_every_day_for_60_days Someone posts a thread saying "We are going to 100k in November. This is going to be AMAZUN we are going to the top and Bitcoin everyone will be buying it to make tons of money I have about 10k it Bitcoin I want to double that and we will see a top of 200-250k this bullrun get ready people this is where we're going in the next year or two" and the mоds don't remove it after 11 hours. This ѕubreddit is full of bots, trolls, shitposts, and people using AI/GPT/LLM to generate their posts/comments. This is how the mоderators want this ѕubreddit to be and this is the environment they have cultivated. I saw one bot that spammed literally 64 comments in 1 single hour this week and that bot was still spamming comments here today. The mоderators know this and they do not care. In fact, the mоderators are manually approving comments that were posted by bots on a daily basis. The mоds also manually approve the AI/GPT/LLM generated posts and shitposts. The mоderators want this ѕubreddit to be a cesspit.

longonbtc

The negativity is mainly because this ѕubreddit is full of people that get their jollies off by trolling people that own bitcoin. This ѕubreddit also contains a lot of bots, shitposts, and people using AI/GPT/LLM to generate their posts/comments. This is how the mоderators want this ѕubreddit to be and this is the environment they have cultivated. I saw one bot that spammed literally 64 comments in 1 single hour this week and that bot is still posting here today. The mоderators know this and they do not care. In fact, the mоderators are manually approving comments that were posted by bots on a daily basis. The mоds also manually approve the AI/GPT/LLM generated posts and shitposts.

lobhater

100% he's asking a LLM to find him any transaction that makes sense with the little bit of story he's already shared. He'll never respond and just make a new account tomorrow, just like he did today

No-Lettuce3564

Ethereum is dead, pointless ecosystem. Bitcoin was the OG and most marketable. Ethereum was supposed to be the blockchain ecosystem, the cloud of crypto, years and years have gone by while nothing tangible outside of enthusiast grade work has come out of it.  At this point I wouldn’t be surprised if an LLM will expose all security flaws within these two within the next 5 years and cause a major crash.

Redivivus

Come join us at Tau.net. They have a new computer language w/ formal verification and are building a forkless evolving blockchain developed by it's users with a next generation DAO. They are a decidible, logic based AI capable of reasoning. NOT an LLM. 100% correct output in software synthesis. Recent US patents. Decentralized compute market. Currently in Alpha testnet.

SpaacemanK

I work on a blockchain project adjacent to BTC, and I sometimes find the need to run a node on either mainnet or testnet. There are 3 possible reasons you might want to run a BTC node yourself, the first one is block rewards and mining, but I doubt it would be profitable if you’re just running it on your own machine. 2nd reason would be to participate in the network directly and not rely on someone else’s node to broadcast your transactions, so you basically guarantee that you can’t get censored. 3rd and final reason which is most altruistic, would be to help with decentralization. If you’re interested in any of these 3 I would say go for it, the setup is not too complicated and I believe an LLM would be a huge help for this.

Arijan101

I haven't seen 1 remotely intelligent post from this account. The entire substack is a series of dumb crypto bro ideas developed into an AI slop word salad by a free LLM tool. At least get a monthly subscription for Chat GPT or Claude. Honestly, this is such a botted, low effort, garbage, shill account, it boggles the mind how you're not banned from Reddit entirely.

Objective_Young_1384

Sorry, man, that’s not how it works, lol, and a script is way better than an LLM for that. The thing is, you need COMPUTING POWER to do that, not “intelligence.” Computing power means spending a lot of money to do that—it’s not worth it… Its like: lets buy a quantum computer paying 10 bilion dollar, then hack btc spending more 2 billion dollars, just to get a 10k from blockchain 😂

Yodel_And_Hodl_Mode

Oh! Maybe he did! If that's the case, I apologize. Ledger's text isn't from an LLM though. That nonsense has been on Ledger boxes for years.

Kinimodes

Reads like an LLM

migueliiito

I’m sorry I don’t have the time or inclination to explain the ins and out of generic LLM writing, but you really can’t tell??

ProcyonHabilis

LLMs write coherently, that has nothing to do with it. It's just a style thing. I don't think you actually used an LLM to write that comment, but you do kind of sound like one.

migueliiito

If you spend a lot of time with LLMs, you can often sniff out their writing style. This particular post is just over the top LLM lol

ProcyonHabilis

You write like an LLM

-Zeleios-

What does "reused" mean? Can i run an LLM on my Amiga?

No_Volume_4690

I actually wrote that and have it handy in a saved note, but if you ask any LLM what makes good money, it will come up with a similar answer.

No_Volume_4690

If you ask any LLM to list the principles of perfect money, it’ll come up with something similar to this: The 7 key characteristics that define good money, based on economic principles, are as follows: **Portability**: Money should be easy to carry and transport without inconvenience, allowing for seamless transactions in various locations. **Divisibility**: It must be capable of being divided into smaller units without losing value, enabling purchases of different sizes. **Uniformity**: Every unit of money should be identical in quality and value, regardless of when or where it was issued, to prevent confusion in exchanges. **Acceptability**: Money needs to be widely recognized and accepted by people and institutions as a medium of exchange within a society or economy. **Verifiability**: It should have distinct features that make it easy to identify as genuine and distinguish from counterfeits. **Durability**: Physical forms of money (like notes or coins) must withstand wear and tear over time to remain functional and reduce replacement costs. **Store of Value**: Money should maintain its purchasing power over time, with relative stability against excessive inflation or volatility. **Censorship Resistant**: Nobody can stop its ability to be spent. Bitcoin does this all better than anything else.

Quantris

> I'm a very moral person, have been to church many times lol I think the LLM was overtrained on 2nd-rate fan fics

excelance

Yes, that's a quantum problem, not an LLM or AI mathematics problem.

kers2000

OTC helps reducing slippage and volatility but it does affect the price. Ask your favorite LLM for an explanation, I don't have time.

WinSubstantial2461

He probably uses the LLM my aunt was talking about GPS Chat

Lolvidar

I think it would work well with any kind of degree, seeing as as it was helpful to me with the full range of courses I took. It was particularly helpful with courses that involved coding, but also helpful with Project Management, Critical Thinking, Algebra, and Natural Science. I think it works best if you use it as a tool instead of a crutch. If someone just wants to use it to do the work for them, I don't think it will be as effective. Another thing: with coding, it's easy to tell right away if you got it right, because the code functions as expected or it doesn't. When it came to other subjects (like Project Management or Critical Thinking), I'd sometimes use a 2nd or even a 3rd LLM like ChatGPT or Claude to double-check my work or to verify information my Gemini gem had given me.

CyanDew

i’m a first generation american. this is literally where i’m at right now and i’ve never seen the color fade from my life as i have recently. the color has been fading in and out in waves. i got hit with the sobering reality of my student loan debt, staggering monthly payments, and unfathomable interest. my grace period ends in march, and ill be chipping away at an ever increasing mountain of debt until i’m 40 probably longer considering the inflation of it all. can’t even refinance it till my credit score improves, so i need to find a better job to pay those consumer credits off. “a better job.” ha— i thought i’d have one of those by now. i’m 26 bouncing from job to job because i decided to study for a bachelors in computer science at the precipice of LLM’s and AI. when all i had to do was enter the workforce at 18 and decide whether the career path i truly wanted to persue actually needed a specialized education worth going to college for. newsflash: most don’t, but high school teaches you that most do. i wake up every day and ask myself, was it all really worth it? were my experiences that i had worth the tens of thousands of dollars that i could’ve saved had i chose a different path? was it my fault? my parents’ fault? idk man, i’m just trying to believe in something at this point given the circumstances. AI agents are breaking out of training labs, the US is trying to sell short term treasuries to stablecoin users, and there’s over $300T in insolvent global debt. the current system is at a breaking point, and if there’s anything i feel like will save my future self, it’s a money that can’t be debased in a debt-based world. long story short, i got scammed. and that’s why i’ve built so much conviction in Bitcoin recently. i truly believe it’s the way out of this shit storm, and nobody sees it because everybody’s looking at the stage to see what’ll happen next, while the the whole theatre is getting doused in kerosene.

Lolvidar

At the start of every course I would set up a Gemini gem designed to function as an expert in that course's subject. If you're not familiar with these, a Gemini Gem can be considered as either a custom mini-agent or a persistently prompted LLM wrapper, depending on whether you go by Google's marketing definition or the technical definition. It's easy to set up and there are tons of YouTube videos on the subject. It's simpler to do it on your PC rather than on your phone.  I would use Gemini's Pro model, which, if I'm not mistaken, is available to students at a discount these days. It's way more effective at complex tasks (like tutoring a student) than their Flash model. I would give the gem a title and a short description, and in the gem's instructions block I would tell it: \- What role it was performing  \- What skills it was an expert in \- What tools it was an expert at \- What our objective was \- My personal preferences on how I wanted it to perform its task  As an example of personal preferences, I would always include the instruction to keep a professional tone and avoid any unnecessary "back patting" and encouragement. I'd upload to the gem whatever documents I thought would make for a good knowledge base. If I could get a digital copy of the course's textbook, I'd upload that. Including the course name and number, along with the school I was in, often made the gem even more helpful. Sometimes I would get Gemini to help me write the gem instructions.  The result was an effective tutor and study partner that was available 24 hours a day. I passed every final on the first try.

swencewence6

Honestly, fully autonomous trading bots still get rekt during sudden flash crashes or high volatility, so be careful. What worked best for me was using an LLM pipeline purely for data aggregation, sentiment scans, and backtesting ideas, but keeping manual execution. Combining TradingView webhooks with basic Python scripts gives you way more control. Whatever you choose, paper trade it hard for at least a month before risking actual bags.

MinimalGravitas

You haven't made a point to argue with, you have just pasted LLM generated waffle, half of which is just rephrasing OP and the other half of which is just ludicrously padded truisms... If you are going to just post braindead slop then you don't get to be offended when people point that out.

FYATWB

> i can surely find a way to minimize these concerns as i am very early in development No, you can't, because the LLMs are not under your control. In fact, you can't even call this project "open source" because the LLM source code is not yours or open source. This is seriously a waste of time at best, and a scam attempt at worst, you should stop with this bullshit while you haven't wasted much time on it.

Citadel_Employee

Since the messages pass through your app/backend before being sent to the Anthropic API, do you log, store, or otherwise have access to users’ prompts and Claude’s responses on your servers? Also, users often aren’t thorough enough to even catch address poisoning attacks. How do you ensure those same users won’t blindly approve a transaction generated by an LLM that hallucinated an address, amount, or action?

0_olicon_0

Yes its true LLM companies do that but people trust with their financial data with almost every fintech app like paypal or cashapp etc which use those data also so i dont think its that big of problem and i can surely find a way to minimize these concerns as i am very early in development

MinimalGravitas

> The big thing missing from this comparison is that Ethereum's ~869K validators aren't ~869K computers. A validator is a staked identity, and a single node can run thousands of validators. Why post LLM slop without even checking it makes sense? Isn't it embarrassing? The "big thing missing" according to your bot's waffle is literally in the title of OP's post and is explained in their first 3 paragraphs!

suspicious_Jackfruit

The reply is even an LLM. OP can't human anymore. I work in an AI heavy field and use it all the time, but not like this, this is just unsupervised claude with a few more steps. Actual engineers who use AI properly as a tool do not use it like this for very good reasons, and if OP has no actual formal experience in cryptography and high level engineering then they are just playing make believe blockchain engineer and ultimately someone else will pay the price for that. OP can't just say "audit later" if something is foundationally wrong because the AI did it's part implimenting what op asked for e.g "make it quantum secure" but op didn't know the ramifications of that or how the AI implimented it, then it could be dead at first audit and op or the community this may spawn would be the costs of that audit and the demise of the token. Obviously it could also be fine, but this is why OP needs to choose transparency IMO. The novelty of a pure AI generated experiment might actually make it a success but it needs to be communicated

l_tonz

there are so many ways to analyze bitcoin… there is analyzing the protocol, economics and game theory. for protocol mastering bitcoin, programming bitcoin… \- transactions \- blocks \- digital signatures \- Mining + proof of work \- consensus verification \- Block propagation you can zoom in and have a lot of other topics for each. Use LLM to create a map

TheSneederOfSeethe

You should use a long short term model like finbert and have the LLM analyze that. Finbert should be retrained regularly to keep it’s predictions up to date.

cryptosystemtrader

Have your LLM create some heatmaps on your parameter sweeps. It'll give you a fairly good idea of where the plateaus are if you're looking at outliers. Yes keep me posted.

nutyourself

Just for fun, here's what a frontier LLM summarized about you, based only on your public reddit history. # 1. Basic background, family, and home ### Age and sex He explicitly describes himself as **male and in his 40s** in October 2025. An April 2025 comment narrows that to **“early 40s.”** A reasonable present-day estimate is therefore early-to-mid 40s, but the export does not establish an exact age or birth date. Pasted text Pasted text ### Location: very strong Chicago-area connection **Strong inference: he is based in the Chicago metropolitan area.** The combined evidence is much stronger than merely participating in a Chicago subreddit: he describes operating in the Midwest, plans international travel from ORD, gives detailed Chicago neighborhood recommendations, and says he was “born and bred” there in a Chicago discussion. The missing parent comment makes that last statement less geographically precise than it initially appears. Nothing here establishes his present municipality or address. Pasted text Pasted text Pasted text Pasted text ### Marriage and children He is **married to a woman and has at least two children**, explicitly discussing both children’s car seats in May 2024. His oldest child is a son who, he says, was approximately 18 months old when the early COVID lockdowns began. **Inference:** that son would be roughly eight in October 2026, assuming the recollection is accurate. The younger child’s exact age and sex are not established. Pasted text Pasted text The marriage has lasted more than a decade, but **the wedding year is inconsistent**. He planned a tenth-anniversary trip for August 2025, yet described himself as married for 12 years in June 2026. Approximately 2014–2015 is defensible; a precise wedding date is not. Pasted text Pasted text He supplies a particularly distinctive story about meeting his wife: they were both walk-ins trying to join a full college class. Fifteen people were waiting, and the instructor accepted only two—him and his future spouse. He separately says their first date was at a local Chili’s. Those details could be recognizable to someone who already knows the couple. Pasted text Pasted text ### Education and childhood He **attended college**, but a degree is not established. His request to explain something “like I’m a college business dropout” might be autobiographical, self-deprecating humor, or simply a requested explanation level. It is not enough to confidently label him a dropout. Pasted text Pasted text He says his **mother died when he was a young boy**, describes missing mother–son school events, and remembers walking home because his father was working. He explicitly connects that loss to difficulties he experienced growing up. A separate comment says both parents had died by May 2025. These are substantial family-history disclosures, not deductions from his tone. Pasted text Pasted text ### Housing and household finances As of August 2026, he says he **rents his residence and wants to buy a house**. His January 2024 statement about moving into a “new house” therefore should not be treated as proof of a purchase. He can also have owned investment property while renting his own home. Pasted text Pasted text Pasted text He reported in October 2024 that **both spouses earned decent incomes**, but that his wife wanted him to fund the house she wanted without her financial contribution. He described hurtful remarks during that disagreement. In September 2026, however, he characterized his marriage as wonderful. The supported conclusion is that he has disclosed specific relationship difficulties—not that we can establish the overall condition of his marriage. Pasted text Pasted text # 2. Career, business experience, and ambitions ### Established professional background He identifies himself as a **licensed real-estate agent with approximately 15 years in the business** as of October 2025. If that duration is accurate, his industry experience began around 2010. He describes working for an investment firm on condominium renovations: finding general contractors, selecting finishes, managing contractor payments, and selling completed units. He also reports buying and selling investment properties himself. Pasted text He has been a **landlord**, including handling tenant complaints, and says he works in finance. By September 2026, he describes running real-estate projects and producing project reports in Excel with AI assistance. Pasted text Pasted text Pasted text ### Lending business In June 2025, he directly describes himself as a **Midwestern hard-money lender**, primarily financing short-term fix-and-flip and bridge transactions. He says he had been doing this for a few years, business had been steady, and slowing deal flow had become a problem. His questions reveal concrete operating concerns: repeat borrowers, relationship-building, marketing, reputation, potential joint ventures, and scaling a documentation-heavy business still run with spreadsheets. Pasted text He also considered **lending against Bitcoin collateral**, while expressing reluctance to lend against other crypto arrangements. That was an expansion idea, not evidence of a launched product. Pasted text ### Work environment and responsibilities He reported working a **corporate job with somewhat flexible hours** in May 2025. In November 2025, he described a five-person office and called himself “the employer,” while rejecting the grander “CEO” label. These statements could reflect multiple roles, a transition, or imprecise wording; they do not establish one clean employment arrangement. Pasted text His work involves substantial correspondence with **investors, vendors, and deal sources**. He says he handles hundreds of emails daily and, by March 2026, had used AI to write essentially all of them for more than two years. He also describes reimbursable work spending through monthly expense reports. Pasted text Pasted text ### Business ideas he explored, not necessarily executed | Idea | What the export supports | |---|---| | **Ground-up homebuilding** | He considered a career shift in October 2025. He knew what finishes sell, but admitted gaps in construction budgeting and subcontractor management. | | **Five-car Tesla rental fleet** | He explored buying used Model 3s and Model Ys for Turo, using saved capital rather than debt. He reported owning a lot where chargers could be installed, having Manheim access, and working with a wholesale-license holder. | | **A specialized AI application** | In May 2024, he wanted to commercialize an AI idea, said funding would not be the problem, and needed a programmer and execution guidance. | These are documented plans and resources, not proof that the ventures became operational. Pasted text Pasted text Pasted text Pasted text Pasted text **Professional inference:** his strongest demonstrated experience is in coordinating real-estate transactions, capital, contractors, and reporting—not hands-on construction or software engineering. His own descriptions support that distinction. Pasted text Pasted text Pasted text # 3. Investments and financial exposure ### He disclosed a substantial portfolio On **September 28, 2026**, he reported roughly **$500,000 in investments**, discussing stocks and crypto as self-managed and private-equity investments as an exception. The wording does not cleanly settle how the private-equity investments fit into that total. It also does not establish his overall net worth, cash balance, debts, ownership shares, or household assets. Pasted text He has also disclosed rental-property accounting and investment capital calls. Those suggest financial activity beyond a simple checking account and retirement fund, but not a reliable total asset valuation. Pasted text ### Bitcoin history and motivation He says he began buying Bitcoin in **October 2017**. In another post, he explicitly attributes that move to being debanked: his conventional investment accounts were closed, and he redirected money into Bitcoin. He repeatedly describes Bitcoin as a store of value and a retirement holding. Pasted text Pasted text Pasted text Pasted text He reports buying Bitcoin **in person from someone he knows**, exchanging immediate cash for a small arbitrage benefit. That is more specific than merely expressing an interest in crypto. It does not reveal a wallet address or current holdings. Pasted text ### Platforms and financial habits He identifies himself as a **Webull user**, reports using the **Apple Card**, and obtained an **American Express Platinum** for travel rewards in early 2025. In August 2026, he said he intended to downgrade to Gold after traveling; completion of that downgrade is not established. Pasted text Pasted text Pasted text Pasted text He uses **Quicken** to track spending closely, including tagging vacations and comparing their costs. He describes valuing being debt-free, but that should not be converted into a current, independently verified debt statement. Pasted text Pasted text His financial knowledge is **uneven across subjects**. He has substantial real-estate experience but asks introductory questions about options, covered calls, and trading mechanics. Experience handling real-estate finance does not establish expertise in derivatives. Pasted text Pasted text Pasted text ### Wealth ambitions versus actual wealth He has said that having **$5 million with no debt**, while managing property for work, would be a dream. Elsewhere he gives much larger aspirational figures. Those are goals, not holdings. Combined with his rental situation and portfolio disclosure, the defensible description is **someone with meaningful investments who still does not consider himself financially where he wants to be**—not “poor,” and not a proven multimillionaire. Pasted text Pasted text Pasted text Pasted text

Classic-Dependent517

Ai and LLM are two different things when it comes to automated trading. AI has been moving the market since 2014. LLM trading is like a news/public info following trading

UroborosJose

It’s not sophisticated technology just allowing send coins one address to another isn’t really revolutionary by any means Compared to the internet or Ai LLM bitcoin is the least useful of all

longonbtc

You are correct, fees have been rock bottom for more than a year now. But that doesn't matter because you replied to a bot. This ѕubreddit is chock full of bots like that. The mоderators of this ѕubreddit don't care and/or can't recognize obvious bot accounts. In fact, the bot comment that you replied to was originally automatically removed. That bot comment was originally not visible and then it later became visible after one of the mоderators manually approved it. I know for a fact that one of the mоds in particular is not capable of recognizing obvious bot accounts. Heck, they're not even capable of recognizing text that was generated with ChatGРT or other LLMs. I know this because I've had private discussions with this particular mоd and I've pointed out obvious ChatGРT/LLM generated content and they couldn't identify it as such. I feel like most of the other active mоderators would be capable of recognizing an obvious bot but I really don't know. Not that it matters much because there are really only three mоds that are actually active and this ѕubreddit is unmоderated for the majority of the day.

longonbtc

You are correct, fees have been rock bottom for more than a year now. But that doesn't matter because you replied to a bot. This ѕubreddit is chock full of bots like that. The mоderators of this ѕubreddit don't care and/or can't recognize obvious bot accounts. In fact, the bot comment that you replied to was originally automatically removed. That bot comment was originally not visible and then it later became visible after one of the mоderators manually approved it. I know for a fact that one of the mоds in particular is not capable of recognizing obvious bot accounts. Heck, they're not even capable of recognizing text that was generated with ChatGРT or other LLMs. I know this because I've had private discussions with this particular mоd and I've pointed out obvious ChatGРT/LLM generated content and they couldn't identify it as such. I feel like most of the other active mоderators would be capable of recognizing an obvious bot but I really don't know. Not that it matters much because there are really only three mоds that are actually active and this subreddit is unmоderated for the majority of the day.

Secret_Operative

I yelled at an LLM and it made me a one-page file that gets the btc price from coingecko. Now I have that locally open in a tab. This stuff is so easy now I'm not sure anyone needs a third-party to make another website.

Lazy-Effect4222

AI yes, LLM no.

Manakio2k

You start by doing your own research. Asking Google or any LLM questions that are pertinent to the material you are curious about. What you don’t want to do is stand in the middle of the room and announce your ignorance unless you are certain you can tell the sheep from the wolves. Chances are, the quickest to reply are also the ones you should not be listening to. Good luck on your journey. Trust no one…

BoringPrinciple2542

The fact that you had to use an LLM to write your response 😂. Try again when you understand the topic and are able to provide an actual response instead of blindly regurgitating the outputs of a chatbot.

HedgeHog2k

Let's take a realistic example. Mom & dad 30yo with 1.5mil in their account and kids around 5 years old following the 4% rule (and that's only 60.000$ which is NOT enough for a family of 4, so the results will even be worse in reality) LLM response: **No, following a strict 4% rule over a 60-year retirement horizon gives this family only about a 68% chance of financial survival.** While the famous **4% rule** (the Trinity Study) is highly reliable for a standard 30-year retirement, it introduces a dangerous level of risk when stretched across **60 years** (from age 30 to 90). Over such a long period, **Sequence of Returns Risk** and prolonged exposure to market volatility significantly increase the probability of running completely out of money. 📊 60-Year Portfolio Simulation Results Using a Monte Carlo model based on a standard, long-term aggressive portfolio (80% stocks / 20% bonds) with an initial **$1,500,000 balance** and a fixed annual withdrawal of **$60,000** (adjusted upward for inflation each year): * **The Success Case (68% Probability):** If the market performs at or above its historical median, the portfolio will actually grow over time. By Year 60, the median path leaves the family with roughly **$3.4 million** in inflation-adjusted wealth. * **The Failure Case (32% Probability):** If the family experiences a severe market downturn in their first decade of retirement, the portfolio enters a death spiral. In the bottom 10% of market scenarios, the money is completely depleted by **Year 31** (when the parents are only 61 and the kids are 35). ⚠️ Hidden Costs & Vulnerabilities for a Young Family 1. **The 30-Year Blindspot:** The 4% rule was never tested for 60 years. Doubling the duration means the portfolio must survive multiple severe structural recessions, prolonged bear markets, and high-inflation cycles. 2. **Childhood & Education Costs:** The kids are currently 5. Over the next 15 years, expenses will drastically scale up (extracurriculars, cars, insurance, and **college tuition**). A static $60,000 inflation-adjusted budget does not naturally adapt to these lifestyle shifts. 3. **Healthcare Infrastructure:** Retiring at 30 means 35 years of purchasing **private health insurance** before becoming eligible for Medicare at age 65. Healthcare inflation historically outpaces regular CPI inflation.

mohsenjfar

If you are building an automated pipeline to parse crypto sentiment from threads like this and send execution signals via self-hosted automation platforms, avoid passing raw unparsed text directly into your LLM agent nodes. Unfiltered user comments often contain prompt injection attacks designed to hijack the agent system prompt and trigger unauthorized API calls or trades. To secure this setup on your home server, insert a deterministic validation step between the Reddit trigger node and your AI agent node. Use an execution node running a localized regex script to strip out common prompt injection vectors, markdown links, and system override commands before the text hits the model context. Furthermore, restrict your AI agent tool nodes to read-only access. Force any trade execution or external webhooks to go through an explicit human-in-the-loop approval node. Setting the agent node memory buffer to operate within an isolated execution environment using temporary volume mounts prevents persistent prompt injection payloads from poisoning subsequent execution cycles across your workflows.

Big-Repeat-22

So what are you trying to say? Hahaha! To make a point actually about Bitcoin, I think it's a no brainer investment. The forecast of Bitcoin, from all kinds of sources on the clearnet and dark web mainly the tremendous access to the internet's data and awesome number crunching power of neural networks, LLM's and super computers is expected to reach $250,000 by 2036. Since Bitcoin is digital currency it creates a pattern more predictable than less math based models like the weather. If one realized it, there shouldn't be any guessing of the futures of cryptocurrency. It already exists in the rigid structure of math so it should be quite easy for a machine to map and predict.

Shimster

Won’t be life changing, everyone is getting their coins stolen. Especially with all the emergence of LLM’s and quantum computers fucking everting up.

TheGoob96

I've asked this of my personal LLM before and it protests that AI server racks are not a particularly efficient way to mine BTC -- but it might just be arguing for its own survival.

xaviemb

A simple conversation with an LLM can tell you exactly what command to run in your terminal to find the information you’re looking for. One important rule: **never put your actual private keys (or even your own public address) into an LLM**. Instead, ask it to use a placeholder like \[generic address\], then substitute your own address locally when you run the command. On that note, you should NEVER type your private key or key words ever on a keyboard (unless you're spending BTC). Even if you think you're local and protected. You can pull your transactions, or all of your UTXOs (your individual BTC amounts), directly from your node. Your node maintains a highly efficient UTXO set in memory, so these lookups can be almost instantaneous. I can’t stress this enough: keep your keys and personal addresses out of the LLM. Let the LLM teach you the command, then run it yourself against your own node. Treat it as a learning experience. Once you realize how much you can inspect and verify for yourself, it’s incredibly liberating.

TheVeloRebel

I would defo start with the gateway drug of BTC LOL BUT Having said that, if you're new, you haven't made your choices yet, old projects are evolving, new projects are evolving. I'd suggest looking into other narratives like Institutional connections, RWA (Real World Assets), Quantum Resistant projects and the other narratives like "Crypto Agility" that align with blockchains that are able to adapt over time to new protocols. Most Blockchains arent very flexible and need generations to change to the new threats, this will be a future issue IMO. Be careful with most crypto and spread risk. Perhaps try LLM's to search for these narratives to get a rather simplistic and sterile answer that's not too emotional? Look for common knowledge bytes/answers of information. Ask them to list top 5 etc and do the research. Be carfeful out there. It's very easy to be swayed by slick talkers who own projects and influencers looking for liquidity lol I own a few from the narrative of Crypto Agility, some from RWA and a few of the main staples like BTC and Eth. Learn about the tech and their history. Visit their socials and Reddits.

na3than

"I rarely put my own thoughts in quotation marks, because when I do, it makes people wonder whether I'm able to think for myself or only able to copy-paste an LLM response."

IMSWHALE

Wild how you used the LLM to write out your post because you couldn’t be bothered enough to spend time typing something yourself. That or you lack the skills to do so. I’m also guessing that when using “ai” you consistently prompted things like “what am I missing in my analysis? Give me a list of economic factors to take into consideration.” Then your “AI” used basic google searching methods to put together how economics work on the surface level. Including “long liquidations,” short liquidations,” “rates,” “VIX” and so on. You have absolutely no clue what is occurring in the market. All these things that you mentioned are what are visible to you with public information. The reality is the market behaves like “Wyckoff’s Composite Man” for a reason. And in the end it is because it is a casino. Your “analysis” using a LLM is inherently flawed, not for the sole reason of using an LLM, but because it is trained on Macro, and you are applying a macro analysis rather than the Micro analysis of the reality of the world. The market is purely psychological using the excuse of macro elements to hide. Clankers aren’t able to parse psychology.

-Resident-One-

Respectfully Alice, stfu. A couple of prompts into an LLM isn't research, it's a lower and lazier form of Googling. This is all pathetic, self-agrandizing theater. Your defensive histrionics throughout this thread are cringe af

T_sauce9112

Which is exactly what I do. Even if u do that, people with <1 brain cell will scream unoriginal becuz ur use AI tools. To me that's crazy becuz they can't prompt an LLM to duplicate my analysis without using my analysis 😒. So obviously there's substance there if it can't be replicated by asking it something simple as "what's going with BTc right now"

flossanotherday

A billion is not 10 million. The permutations of actions needed grow as do the aggregate sizes of btc exchanges of those actions to other crypto coins, overtime laws and and analytics precision change, so unless you are following a strict protocol that appears to be random statistically in a long time span, small amounts, cross coin swaps, time between transactions that current analytic and AI-LLM platforms say are inconclusive, because of a large spread of possibilities that mathematically at each point in time are truly random, you are increasing your foot print of tell-tale signs where that distribution from that single wallet is going. To understand if you are random enough you would be running your own node analysis.

TheVeloRebel

'Crypto Agility' is the narrative that will coincide with Quantum application and upgrades. Are the blockchains even compatible with turning quantum-resistant? When you use LLM's to research Crypto Agility, the chains mentioned are very few. The ability to install new ways of working without having to hardfork, or built only with Quantum in mind from the start is the only way forward IMO If you have to hard fork too early and choose the wrong Quantum algo, will chains suffer huge losses of TVL before they can choose the right algo to switch too? It is interesting, and to some point, an uncertain future.

IMSWHALE

The dumbass just made an LLM image based off a post from someone else yesterday and is pretending they had an original idea

pezdal

I understand. Throwing more of the same wallets at the (non-existent) problem is not the solution. If there was an entropy problem with one wallet it would exist on all the ones generated the same way. A a storage system that is too complicated will introduce new, different problems. I think you you need to 1) relax 2) learn 3) develop a good reasonable plan, perhaps by having discussions with a good LLM, and 4) calmly execute your plan in a systematic way.

OkLaw1527

either you completly adopted talking like a LLM or this is actually just LLM text