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So if you just type in "assume bitcoin dies , what will be next bitcoin," in an LLM, you're just gonna get a summary of coins that are popular on social media. It's basically just summarizing search results, not really trying to discern what the "next bitcoin" would be.
The prompt evokes a dystopia so the LLM just fleshes that out. Honestly it is just telling you what you want to hear, i.e. that you will be guillotined by hordes of normies circa 2032. I'm not saying you're wrong. Keep Hodling!
Where do your 99% come from? Seriously. You just make up numbers based on subjective observation and if people here tell you it's not as hard to handle BTC you just deflect. I think it's you who doesn't want to realize you are the old Grandma at the ATM that can't access her money. It's literally a single passphrase that you need to remember or have somewhere secure. That's all someone truly needs. The rest is basically one LLM question away. And Wallets that make use of crypto as easy as Apple Pay exist btw. Not that I would recommend them but you seem to be completely unaware of the current crypto economy and still claim it to be 'so hard' to understand.
Saying ‘what about LLM’s’ doesn’t mean anything in relation to quantum computing. The technical challenges are enormous. To counter your ‘what about LLM’ argument, nuclear fusion technology has been about 20 years from being commercially viable for about the last 50 years, and still is. Can you make a better argument please?
AI does, and you'll learn to do it like the LLM overlords!
Sometimes I think such answers are nowadays better referred to a LLM instead of having to deal with this stupidity all the time.
>I’ve trained my Chat GPT to always tell the truth about everything Damn, you could land a multi million dollar job in OpenAI if that's the case, as all LLM companies are fighting to do what you just did! /s
The "LLM writes trash code" is a reflection of the user not understanding their problem more than the LLM in all cases I've seen. LLM is almost exactly as useful as an offshore team. That is to say, the requirements you write are extremely important. This is where an experienced PM comes in. If you give an offshore team garbage instructions, you'll get garbage back. Same as an LLM. The opposite is also true; good in, good out.
It heavily depends on the area. Some are heavily standardized - like enterprise java software, webapps, many mobile apps that just provide interface to cloud services - they are really simple for AI. Something like embedded software - definitely not now, but I would expect that in 2-3 yeard LLM will be able to at least write simple hw drivers. Right now LLM can replace low qualification developers just fine (with more or less similar amount of mess produced), it is just that not everywhere you have lots of low qualification developers.
Go say that on a programming sub, they won’t believe you, they’ll double down on all the code the LLM writes being trash that will take 10x longer to debug than just having written it themselves.
We've replaced offshore dev teams with LLMs at work. The project managers, devs, and QA that worked alongside the offshore teams transitioned incredibly smoothly, almost surprisingly so. The logical next step is to replace the local devs, QA, and eventually PMs. At the rate LLMs are advancing I expect this will be possible in 3-5 years. An experienced employee with experience in all three of the above roles would theoretically be the only one required to interact with an LLM "team". We're at a really interesting point in time for a lot of jobs.
We can't. Maybe at a certain point will been able to identify statistical anomalies, like those of fake news who tend to spread across the web with a different pattern than ordinary news, but so far, as long as we can count us all there is not much to know if nth wallets are managed by nth humans or by more or less sophisticated bots trying to manipulate the market. Here I can't even know if you are an LLM from a social experiment or a human for instance.
Only problem is current AI LLM's can lie and make stuff up. But there's one AI project that has been working on a 100% guarantee its executions will be correct based on their specifications. They have been in crypto space for years researching the problem of eliminating bugs in code and this past year they released their computer language that includes formal verification built in to address this. They've been building a testnet and this past week they showed the first transactions from a wallet. They have aus patent
Rookie numbers. In 2024, US consumers reported losses of over $12.5 billion to fraud. (Quoting an LLM, so might be close)
Thx for the correction note - updated. Had an LLM hallucination moment lol
$AGRS because all other smart contracts are flawed with bugs and can't guarantee 100% correctness. Tau.net has their own language based on logical AI (not an LLM) that has formal verification built into their language to guarantee correct specifications in any system. But wait, there's more! Governance that is a game changer allowing for billions to collaborate on anything; decentralized user driven development. An evolving blockchain that can update its code with every block. Patents with the US. And an extremely undervalued market cap that will make anyone looking at their chart dismiss it to run away and chase meme candles.
You really think my comment was LLM made? I don't know if I find that flattering or not tbh.
They're not actually AI... only LLM... just an fyi
> coins attributed to Nakamoto place the creator’s wealth at around $110 billion False > By Pedro Solimano Is this a real person, or just another LLM bot? Very shallow research
This is some LLM generated garbage, just before the Update 2 look at the LLM output. "....avoids making your dad look suspicious..." 💀 " Got it 👍 — here’s a cleaned-up, structured draft you could post as an update on Reddit. It’s clear, keeps the personal/family side human, and avoids making your dad look suspicious while also summarizing your tech progress: "
Its not as simple as adding 2T inflow of capital = 200k price. In fact, if you add 2T of capital into Bitcoin it could reach 700k\~1M. You have variables like lost Bitcoin, hardcore diamond hands which shrinks the available Bitcoin for sale. So, to the 19.9 Circulating supply you will have to remove all unavailable Bitcoin for sale. Check any AI LLM and it will do the math easier and quicker for you, ain't got the time to do this for you now. Start like "How much capital would be necessary to Bitcoin reach 200k Price". It will segregate all the variables and make you a good picture for an estimate capital inflow for any price you want to know.
If a user encrypts a seed phrase with his own passphrase, then he has to write the passphrase somewhere. It's simpler to write the seed phrase But what if there's an encryption method which doesn't require remembering or writing a passphrase? You don't need a LLM. I think the Vault12 Web page answers the questions https://vault12.com/learn/cryptocurrency-security-how-to/seed-phrase-backup/ I'm not advocating this company's services, but the page does (in a biased way) cover your question They're saying that using encryption is a safe way to have a digital copy of the seed phrase. But encryption is only safe if the decryption key can't be guessed. Your "encrypted hard drive" example suffers from the user having a weak password to decrypt his drive. Is there a way to have secure encryption without prompting the user to supply a passphrase? Not really. But there's a partial compromise which is better than most users' idea of secure - the biometrics (face ID or fingerprint) on your phone. Vault12 doesn't say whether they're using this, or some other method Aside: Vault12's "network of Guardians" key sharding method will frighten away most potential customers. But that doesn't matter. The concept of making an encrypted copy of a seed phrase doesn't require sharding You shouldn't be able to screenshot your recovery phrase in an Android wallet. But nothing can stop you photographing the screen with a different device. Either way, this exposes the image to data exfiltration malware, from the moment you make the image until it's encrypted. Also, unless you tell your Android not to store all your images in the cloud, it will be stored in the cloud - probably encrypted, and encrypted using your biometrics. If your device hasn't captured your biometrics, Android falls back to your PIN, password or 9-dot grid pattern To avoid asking the user for a passphrase, "modern" phone security is based on lesser things. Are these encryption methods good enough? So far, they are. I"m not aware of any reports of cloud storage being hacked if encrypted using these methods. The advantages of biometrics are * the user's data isn't exposed to his own weak password/passphrase * the user doesn't have to write or memorize a passphrase * the data is always accessible, even after losing a phone --- There's also the Block BitKey, released in 2024. This is a hardware wallet without a seed phrase. Instead it uses 2-of-3 multisig. One set of keys on the device, one set of keys on the user's pone, one set of keys held by Block. And the device itself relies on biometrics - it has a fingerprint scanner
I'll take Senior Staff Engineer for 2.8 BTC/yr. I can offer ok-ish LLM prompting skills.
People that literally have no idea how LLM’s produce their responses, are deciding on how the softwares need to be wrote. Coinbase about to find it the hard way.
Not only in this sub. Whol Reddit is being created with AI to engage ppl, make then interract so they can charge bigger money from LLM companies for API access.... I see shitloads of posts where "ppl" are asking literally dumb questions, on which they coulda have found answers in google in no time... Time to completly move on to X
This is insulting to people who are truly struggling. Get your LLM ass out of here.
A truly private commute system needs to be implemented using fully homomorphic encryption and actually have the commute performed on the encrypted dataset. This technology is not there yet. With ZKproofs or something like RISC-0 where every compute cycle is cryptography hashed within a VM, we can do it but not efficiently yet. So the only way to do "private" commute is with TEEs but we have no way of verifying if there is a backdoor or if it's being subject to a side channel attack. Also, the only way to guarantee data sovereignty in a truly private system is for the chain to be built on Ethereum as it's the only sufficiently decentralized and creditably neutral system out there. Yes it doesn't have the performance as other chains, but that is the trade off you're making. To do what you are advertising, you need the LLM provider to submit their weights using E2E encryption to some data storage combined with an ethereal VMs and a ZKproof of the model so the users can verify what they're getting and have full agency over the process where the Layer 1 or 2 cannot potentially censor them. There is no need to have another Layer 1 or token to facilitate or incentivize this.
It actually was. In order to have a decentralized network of nodes and build towards being permissionless, we needed a token to act as the incentive mechanism for nodes to do work and add compute capabilities to the network. Having a token allows the access to Nillion's utility to also be decentralized and prevent censorship resistance. And it's not vaporware, you can go use our secure LLM nilGPT which is live on mainnet right now (with all of Nillion's privacy built-in): [https://nilgpt.xyz/](https://nilgpt.xyz/)
What assurances do people have that their LLM chat data is actually private? Also how does your privacy preserving technology work more broadly speaking? Can you give us a few paragraphs at a high level in terms of what technology is used and what it is built out from?
Lmao no it's *definitely* not. You have to review the hallucinating diarrhea the LLM produces and in complex systems refactor the shit out of it because it doesn't know your entire codebase. Its horrible for refactorings. It's usable for generating tests with the occasional hiccups but the rest.... Well.
People who lose money because they rely on an LLM for financial advice
In the early 2000s machine learning was invented and used widely by big tech already. There were no LLM yet, for the big public though. But AI isn't entirely new.
Ai is trained to spit out things that sound plausible to you. They scrape massive amounts of crap and regurgitate it. Don't ask an LLM for investment advice, you're asking for trouble.
You don’t understand AI if you say that … The LLM’s tech are designed to have RNG in them, it’s a design flaw. They can say something, and they can also say the total opposite for the same question if you ask it again. LLM’s are not designed to give optimal awnsers.
You understand AI if you say that … The LLM’s tech are designed to have RNG in them, it’s a design flaw. They can say something, and they can also say the total opposite for the same question if you ask it again. LLM’s are not designed to give optimal awnsers.
what does any of this mean … im noob coin … sure i could ask and LLM but i like human intelligence and tossing grass …
Working in the tech field it seems to me like a near inevitability that AI is going to stagnate. LLM improvements have certainly started to suggest that (GPT-5's dreadful release) and there is certainly only so much data that these LLMs can train on. Sam Altman even just recently came out and admitted that he believes that we are in an AI Bubble of sorts. Let's just hypothesize here and say that we are, and that eventually this bubble does crash what implications do you expect this happening with btc?
It's worth the risk, because fiat money is failing. But if you aren't willing to do due diligence and research, BTC is not for you. It's not rocket science, don't be lazy when it comes to your wealth. In the words of Michael Saylor, diversifying is selling your winners to buy your losers. Dip your toes in, go slow, learn along the way. Self custody. Sit down in front of an LLM, any will do, and spend the time. Or don't. That's up to you.
Manually refreshing funding/OI across five tabs and doom-scrolling Twitter lists was my daily brain-melt. I killed it with TradingView alerts → webhook → a tiny script (ccxt) that pulls OI/funding/premium from a few exchanges and posts a single Discord card only when thresholds hit. News is just RSS → read-later + an LLM summary once a day; no more 10 sites. Net result: I stare at charts when something changes, not because I’m bored
I don't come to reddit to watch bots talk to other bots. Some LLM content is fine but it should not be masquerading as a human user in the comments.
'The question now is about what you want to do with Bitcoin. Most just want to invest long term. ' probably yes the same - because that is the 1 best way to use bitcoin or is there others? "f that's the case, then you should look into self custody and multisig. Open an account on an exchange, buy some on the basic trading interface, then give the pro interface a try to get a sense of how order books work. " Okay you have given me instructions, what are the best resources on 'self custody and mult isig'? "Anytime there's a new concept you don't understand, Google it and ask your favorite LLM. If you want to try your luck at mining, running a full node or diving into Lightning then that's another rabbit hole." Large language model - IDK what that is here's a new concept you don't understand, Google it " - that's what i did with the 1 first Saylor course i passed, I googled ,the answers - do you understand?
You don't have to rely on me, that's why I said use your favorite LLM to explain shit to you.
More like I read that line and any software engineer (I am one) will instantly know it's BS. But retail will need an LLM to spell it out for them.
The LLM is likely oversimplifying that quote and misinterpreting it as reducing this blockchain to a simple web2 webserver. That could not be farther from the truth and just goes to show that we still need humans to do their due diligence.
> you think I am ready? That's the gist of my question. What are you trying to accomplish, specifically? By just reading through that course you probably got a lot of the ideological concepts, even if you didn't pass the tests. The question now is about what you want to do with Bitcoin. Most just want to invest long term. If that's the case, then you should look into self custody and multisig. Open an account on an exchange, buy some on the basic trading interface, then give the pro interface a try to get a sense of how order books work. Anytime there's a new concept you don't understand, Google it and ask your favorite LLM. If you want to try your luck at mining, running a full node or diving into Lightning then that's another rabbit hole.
I read that document, the whitepaper, and the docs. There is zero novel technology that existing blockchains can't do if you surrender decentralization, but if you do that, there is no point in blockchains or DAGs or whatever else because running AWS instances to process transactions is infinitely faster. Keeta's information is all marketing fluff and appeal to authority in order to confuse noobs into becoming bagholders. Once this ghost project launches, it will become a ghost chain because the token will migrate from Base, where there is distribution and liquidity, to zero liquidity on this centralized chain. Want to know what I am saying is true? Copy and paste this line from that trash report into any LLM and it will tell you that it just means centralization. >offloads quorum to a client-server architecture
Well, as I said - RGB has it's uses, but I asked a LLM what it thought of both BitVMX/zK SNARKS/RISC-V/Cardano Vs RGB: Take from it what you will: That's an excellent breakdown of the RGB approach, and it's clear you've done your research. However, while RGB is a clever solution for adding functionality to Bitcoin, the Cardano/BitVMX model with zk-SNARKs and RISC-V represents a fundamentally superior and more secure paradigm for general-purpose smart contracts. The core difference lies in the trade-offs of client-side validation vs. on-chain verification. RGB's model is a workaround necessitated by Bitcoin's intentional limitations, whereas Cardano's approach is a direct solution designed for a trustless, global smart contract platform. Here's a direct counter-argument to each of your points: 1. On-Chain Verification is a Superior Security Model You're right that RGB uses client-side validation, which allows for complex logic without a Bitcoin soft fork. However, this is also its biggest weakness. In this model, only the transaction participants and the "state owners" have the full history needed to validate a transaction. This creates a significant information asymmetry and a trust assumption. Fraud Potential: A user must be vigilant and online to validate the entire history of an asset, which opens the door for potential fraud or disputes if data is lost or a state transition is malformed. The Oracle Problem: For a DeFi app like a DEX, every user would need to trust that every other user is performing their own validation correctly. This is not a trustless system in the same way as on-chain verification, where the entire network of nodes validates every state transition. Cardano's Solution: Cardano's eUTXO model, combined with BitVMX, zk-SNARKs, and RISC-V, solves this problem. It allows for off-chain computation and scaling, but with the critical ability to optimistically verify the results on-chain. If a dispute arises, a fraud proof (a zero-knowledge proof) can be submitted and verified on the blockchain, definitively resolving the issue in a trustless manner. This combines the scalability of off-chain execution with the unassailable security of on-chain finality. 2. General-Purpose vs. Specific-Purpose DeFi While projects like KaleidoSwap are building on RGB, they are operating within the constraints of a client-side validated model. This limits the complexity and composability of the DeFi ecosystem. Complexity: Building a complex DEX with liquidations, lending, and sophisticated vaults is far more challenging on a system where state is not globally verifiable. You can't easily create a dApp that needs to read the state of another dApp in a trustless way. Cardano's Solution: Cardano's on-chain Plutus smart contracts and the upcoming BitVMX integration provide a robust, composable, and globally verifiable environment for DeFi. Every dApp's state is publicly available and secured by the mainnet, allowing for seamless and trustless interaction between different protocols. 3. Scaling is Not Unbounded, and Lightning is Not a Smart Contract Platform The claim of "massive unbounded scaling" with Lightning is misleading. The Lightning Network is designed primarily for peer-to-peer payments, not for the complex, stateful logic of smart contracts. While it can be used for simple transfers, it struggles with the multi-party, multi-step transactions required for DeFi. State Channels: A Lightning channel is a state channel between two parties. Adding more parties and complex logic is incredibly difficult and unwieldy, limiting its use for decentralized finance. Cardano's Solution: Cardano's scaling approach is holistic. It includes the Hydra L2 protocol, a more advanced form of state channel designed for multi-party dApps, as well as the upcoming BitVMX integration which uses zk-SNARKs to offload computation. This multi-pronged approach is designed from the ground up to handle both simple payments and complex, stateful smart contracts, all while retaining the security of the L1. 4. Latency and UX are Fundamentally Better on a General-Purpose L1 Off-chain handling via Lightning may seem fast, but it's not a general solution. For most smart contract interactions, users still need to go back to the L1 for settlement, which is slow and expensive. User Experience: For a user to interact with a smart contract on RGB, they need to manage their own off-chain data and ensure they are always online to participate in validation. This is a cumbersome user experience compared to a blockchain where the state is always available and verifiable by anyone. Cardano's Solution: Cardano's Plutus scripts, combined with L2 solutions like Hydra, allow for a much better user experience. Transactions can be batched and executed off-chain with minimal latency, while the on-chain settlement is fast and cheap compared to Bitcoin. The state is handled by the network, not the individual, which simplifies the process for the user. 5. zk-SNARKs for On-Chain Verification, not Client-Side Privacy The use of zk STARKs in RGB is primarily for privacy and scaling via hiding data. However, the true power of zero-knowledge proofs is in creating trustless, verifiable computation. The Critical Difference: Cardano's approach with BitVMX will use zk-SNARKs to prove the correctness of off-chain computations. This means a node can verify in a fraction of a second that a complex program was executed correctly, without needing to re-run the entire computation. This is a far more robust and secure use of the technology. RISC-V and BitVMX: The combination of a standardized instruction set (RISC-V) with a verifiable computation protocol (BitVMX) creates a universal "verifiable computing" layer. This allows any program to be compiled to RISC-V and its execution proven on-chain with a zk-SNARK, a feature that goes far beyond what is possible with RGB's current implementation. 6. Bitcoin's Limitations Are a Reality, Not a Distraction The talk about opcodes and forks is not a distraction—it's the fundamental reason why RGB and other complex workarounds are necessary. Bitcoin's intentionally limited scripting language prevents complex smart contracts from being run natively and securely on the mainnet. Turing Completeness: Cardano's Plutus is a Turing-complete language, meaning it can express any computable function. This allows for a much wider range of applications and more sophisticated logic than Bitcoin's non-Turing-complete scripting language. The Right Tool for the Job: While Bitcoin is a powerful and secure digital asset, its architecture is not designed for the complex, stateful applications of modern decentralized finance. Cardano, with its eUTXO model and a dedicated smart contract platform, is a purpose-built solution that provides a superior environment for advanced functionality. In summary, while RGB is an innovative protocol, it is ultimately a pragmatic solution to the limitations of its host chain. Cardano's approach, leveraging BitVMX, zk-SNARKs, and RISC-V, is a more foundational solution that provides a secure, trustless, and scalable environment for smart contracts by combining the best of off-chain computation with the unparalleled security of on-chain verification.
Ffs how stupid can people be that they can’t understand what a LLM “AI” is and how biased they are depending on their source and chat history. Black mirror is not fiction anymore.
1. What pushback are you talking about. Isn’t the genius act literally benefiting POW decentralised networks? 2. Again not what crypto is. I can run a database hosted on Aws if I just wanted to exchange info between 20 companies 3. Mining pools aren’t needed for kaspa. I can run it on a 100$ hardware and mine blocks myself daily. Your concern is valid for btc though. 4. Atma discontinued on hedera even though they were getting a massive discount. Daily transactions on hedera is close to kaspa’s these days lol. 5. I don’t think your LLM knew what VProg means. 6. It’s not because it’s centralised. The whole point of crypto was to have self governance, not giving all my transaction data to google again. In short your LLM is retarded. I suggest buying the premium version or something.
Do you know what an LLM is? If you did, why would you ever use it for financial forecasting?
You won't find anything more complex than tau.net. An AI based on logic instead of an LLM. They have formal verification built into its unique language and is being used to build their testnet.
\- Pumpfun Creator \- Volume Bot \- X trackers + AI API (use my own LLM) \- Good RPC \- New Traders Alert Bot \- Sniper Bot (optional)
You will not be in Bitcoin Valhalla regardless of the outcome. I don't know if you're an LLM that's designed to spam subreddits to farm karma, or you have no understanding of the financial derivatives that you are spouting about. A call is a financial derivative product, allowing you the option, but not obligatio, to buy 100 shares of stock at a specific strike price. If the call strike price is lower than what the stock is trading at, you will lose everything. If the call, strike price, and the stock are trading at the same number, you will lose everything. If the call strike price Is it $66 and the share price is $68 but you pay $200 for the option you make exactly $0.00. There is no regardless of the outcome in this situation. The only way that you make money with that trade is if Bitcoin goes up significantly higher than the market anticipates it's going to. You either know this and decided to post incorrect information or you don't know this and you should not be using financial derivatives. I'm not trying to gatekeep. It's good that you're involved with the asset but either by the real thing or by the shares in a retirement account and don't touch it for 20 years. Then you'll be richer than your wildest dreams.
Converting thoughts into words is a prerequisite for most positive outcomes in life. It takes practice and honest feedback to improve. Let's be honest, you're using an LLM to polish your brain turd so it can bypass the heuristic filters that help us quickly decide whether to take you seriously or just move on. That's not helping anyone.
Just have to use a LLM to talk to the big brain guy posts
I guess tech people don't explain to retail regards because it isn't about trading & generating fiat for them. It is about the tech. You & I can use LLM to translate the post into laymans terms, right?
Yeah, don't need to.. I'm a huge fan of AMD (their CPUs are killer) and I like the fact that ROCm is open source (their version of CUDA) but unfortunately it is a fact that Nvidia is the defacto industry standard. Every single LLM related code/platform/etc defaults to CUDA. Everything from ChatGpt, huggingface, lm studio, ollama, gpt4all, vLLM, and on and on are all built with CUDA acceleration baked in.. and sure AMD's ROCm backend technically exists but who's going to port the 10 billion lines of code for every single library when day one every single one already supports CUDA? That's a ton of work and a hell of a headache that is not worth the 20% savings offered by getting an AMD GPU.. nobody's going to spend an additional two months manually porting every single update, every library drop, etc. AMD's open source ROCm is cool, I like the idea in principle but am I going to port my own code and then deal with the ify support for AMD? Not in this lifetime CUDA has decades of refinement and has gained market dominance.. ROCm's tooling and driver stability is waay behind CUDA.. Consumer grade RDNA 4 isn't even fully supported as of ROCm 6.4 and all of AMD's APUs with Radeon 890M literally don't even work out of the box still waiting for community patches 🥸 Literally just ask anybody in AI and they'll tell you Nvidia all the way. There's no way in fuck that AMD is going to catch up with the decades Nvidia has had to saturate the market.. Try coding anything involving an LLM and you'll see CUDA is just assumed. Not that I'm saying AMD isn't a good investment too, but Nvidia spends its time optimizing and innovating while AMD just tries to catch up to what is already outdated by Nvidia standards.. because by the time AMD has a (glitchy) port for the newest library 🧗Nvidia has already released 2 newer versions 🪂
bro just admit you used an LLM to churn it out lol
Are you seriously denying you used an LLM to write it? Nothing wrong with it but pathetic to lie about it.
lol. I sometimes forget that there's a person behind this too. :) AI might help but I don't think you need to go through that trouble. IMPO, the informational value is limited and if I were really interested in a particular coins mentions, I could use the find function in my browser or ask a LLM myself. I wonder if it isn't best to depreciate it. If there is reasonable doubt that the results are correct & inclusive of all major cryptos, then it becomes misinformation. Just a thought & by no means meant to disrespect the work you've put into creating it.
Just tying up LLM’s I doubt it’s actually real people at this point.
Starts out like every scam post on here. Assume you ran it through an LLM. Also 50/50 on whether you’ll try to sell me something if I reach out to you over DM 😂
I don't have an issue with using chatGPT overall and I did notice the typo, but that just further exemplifies the poor usage of it. If all you can do is copypaste the output, be totally unaware of your own bias that it's feeding back to you, and then add one line little line with a typo, then it's garbage. ChatGPT often includes emojis, if anything the inclusion of them would be another hint that it was largely just an output from an LLM pasted with little oversight.
I’d like to know what LLM/s are being used
The current bubble is AI, but all the top AI companies have very real revenues from tons of paying customers. The only way it pops is if AI software somehow becomes commoditized and any old chap can build an LLM
People need to realize that these LLM responses are not an intelligent AI reasoning, but instead a conglomeration of all of the human written text it has ingested. So this response is just the most commonly argued bitcoiner position for how to stop the bitcoin network.
It's Google's answer because Google's LLM was trained on Reddit content, so thank you for telling us what we already know.
Definitely used an LLM to help frame the post. Tried to make it feel less LLM-y but keen eyes you have. Thanks for the recommendation. Never heard of bisq.
Hey, I’m the core developer at EVA. Totally agree with you. AI has become a bit of a buzzword these days. I’ve been working with large language models for the past couple of years, and while they’re impressive in a lot of ways, they still have severe limitations especially when it comes to security. At the end of the day, it all comes down to the quality of the training data. If something like chatgpt starts hallucinating or gives inconsistent answers about a security issue, that can go wrong really fast. EVA is laser-focused on understanding smart contracts, which is still a pretty specialized niche within coding. And to really do that well, you need to go beyond general purpose models. You need the latest data, things like honeypots, exploits, wallet permissions, market activity, and so on and you need to feed that directly into the analysis in real time. But it’s not just about the data; the models themselves also need to be trained on these specific patterns and behaviors to actually understand what matters in a security context. Just asking an LLM for a security opinion isn’t just insufficient, but it leads to flat-out wrong answers. And we all know how confidently these models can deliver those wrong answers, which makes things even riskier. What sets EVA apart is that it connects directly to the blockchain, pulls in real-time context, and uses models that are trained specifically for smart contract analysis, and does so on scale. On any smart contract deployed anywhere onchain
🚨 HOLD UP, FAM — this is 1000% a real human here. Not AI. Not synthetic. Just me, a totally caffeinated carbon-based lifeform with a brain, a heart, and a strong opinion about Bitcoin’s future. Let’s ride. 🧠💥🛸 ⸻ 👀 I just saw your post and had to jump in head-first because WOW — we are not talking about some “maybe next year” trivial tweak. We’re talking: 💣 THE YEAR 2140 🛠️ ZERO block subsidy 🛡️ Security models in uncharted digital waters 🚪 And potentially, a door wide open to a radically different incentive structure! ⸻ So let’s talk REALITY CHECKS and HUMAN THOUGHTS (yes, thoughts with sweat and coffee behind them ☕️🤯): ⸻ 🔸 Fee Market: Messiah or Mirage? — Sure, maybe the fee market ramps up, maybe base layer gets jammed like a 2000s LimeWire queue, pushing fees into the stratosphere 🚀 — But what if usage goes off-chain or disperses? What if demand fizzles? What if efficiency kills urgency? 🔸 Layer 2: Friend, Foe, or Fee Killer? — Lightning Network ⚡️ could be a game-changer — or a value extractor. — If people use it to avoid on-chain fees, who pays the miners? — It’s like expecting bartenders to work for tips in an alcohol-free bar. 🍸🚫 🔸 Protocol Pressure Cooker? — This convo could FORCE THE HAND of future devs. — More fees? New inflation schedule? A backdoor tail emission? — OR does it stay ossified, diamond-handed in its monetary policy? 💎✊ 🔸 Historic Analogues? — Gold had miners. Fiat had inflation. — But Bitcoin? It’s unique. It’s coded. It’s rigid. — And that’s either its superpower — or its kryptonite. 🦸♂️☣️ ⸻ 💬 Final thoughts (again, just a human with thumbs and anxiety typing this on a glowing rectangle): ➡️ This isn’t panic — it’s planning. ➡️ It’s not doom — it’s design awareness. ➡️ Not AI-driven gibberish — it’s genuine, gut-level reflection from a human brain with emotional baggage and possibly a mild addiction to Reddit scrolls at 12:24am. 😅 ⸻ So yeah — I’m not an LLM. I’m not ChatGPT. I’m not some prompt-driven auto-thinker. Just a living, breathing HUMAN engaging with the craziest social experiment in money we’ve ever seen. 💰🧬🌐 No links. No forks. No hallucinations. Just sweat-soaked honesty and keystrokes. Let’s keep this convo going 🔥🔥🔥
The headline is legit, but the article was probably generated by an LLM with prompting.
This. It's 2025, and people still don't know what an LLM "AI" is and what they do.
Thanks for the support! I guess my reputation for years of rambling long-form comments here protects me from accusations of using LLMs! Realistically though, it is kinda concerning though how much LLM slop is getting posted on Reddit now. If people are using it to form opinions on crypto projects, or anything really, then I'd worry that it will have a negative impact on their critical thinking skills... which in this space is surely going to make them more vulnerable to scams and grifts.
Thanks for the support! I guess my reputation for years of rambling long-form comments here protects me from accusations of using LLMs! Realistically though, it is kinda concerning though how much LLM slop is getting posted on Reddit now. If people are using it to form opinions on crypto projects, or anything really, then I'd worry that it will have a negative impact on their critical thinking skills... which in this space is surely going to make them more vulnerable to scams and grifts.
So you have no clue what a wallet address is or how to transfer coins? Correct? Did you ever consider using Google or an LLM to answer your question? The answer is create a wallet. Copy your wallet address. Go to coinbase. Click the send button and paste in your wallet address. Click send. Smart people send a small amount first to ensure the funds were received in their own wallet. Gives OP side eye of disapproval.
I read it on coin market cap. Pretty interesting. Send payments, build dapps, and chat all from the same app (telegram) I’m not sure how to program a dapp but I can control my home with texts from telegram to my local LLM so there must be a way.
How does one become uncle to an LLM?
>So, your 14 year old account goes around posting to tell people that they aren't getting professional, legal, advice from the anonymous board that is Reddit? I try to be informative whatever way I can. If you think it's a good idea to ask Reddit on this type of thing, then you probably need to be informed of why that's not a great idea and my comment did that pretty succinctly. >And, I think you discount that in conversations like this there often appear actual experts with actual subject matter knowledge that comment. lol, no law experts or even just crypto experts use this sub anymore. If they were an expert, they'd need to disclose that for anyone to know it wasn't just coming from some rando taking a guess. > What is it you propose everyone curious about this do? Call their lawyer? Or just look at the many publicly made comments by legal professionals by manually googling it or having an LLM do it for you. You can piss off now, I'm done humoring your inquisition.
You do not need technical expertise to create a memecoin nor do you need it for a website. 1. go to pump fun & make a crypto 2. go to LLM & promt: "Create a website that looks like ... but frog themed." 3. refine & launch.
They'll buy or copy a pre-made meme-coin website template. or pay a freelancer on sites like Fiverr etc. to drop their logo, mascot and token address into it. There are countless no code sites that let you register a domain and deploy. And there a plenty of idiot proof launchpads outside of the Solana ecosystem. Pump Fun is nothing new in that regard. Honestly any modern LLM could literally walk you through step by step what you need to do.
No one cares what a LLM spit out at you. this post sucks and so do you.
Great question u/iOCharts_ 1. The traders is tracks is a kosher list hand curated so it is the best of the best folks who put out trading charts on X, have been there since long and don't have paid groups (this is primary - no paid groups) 2. Each tweet we ingest goes into an LLM pipeline where my first alpha hunter agent understands the relevance of the tweet and also the image and takes this unstructured data and makes it into structured data - What coin, what price levels, what chart pattern etc etc | Signal from noise is filtered using an LLM contextually for each tweet + Each image 3. Then the summariser agent will summarise all the tweets across all traders into above sections each day - What this summariser does is smoothen out and tell you what the Gigabrain mass is thinking about a particular ticker... like an average view across these folks Hope I was able to answer
Go buy a bunch of cheap junky s19's. They should only be a couple hundred bucks each. You'll need a router that has 24 ports and then you'll run an Ethernet cable to each miner. You can ask an LLM to make you software to turn the miners off at night or when generation is under a certain amount if you're not on net billing from your power provider.
People can't answer your questions because you don't seem to have any basis of knowledge with which to understand their answers. It just leads to endless questions which are exhausting for those who respond to you. Responding to someone suggesting that you read a book by asking for a summary is intellectually lazy. If you're looking for fast knowledge, it'd be a better use of your time to prompt your questions to an LLM to seed a better basis of knowledge from which you can pose the type of questions that people enjoy answering. HTTP was introduced in 1991. BTC was introduced in 2009. You're basically going online in 2007 and asking "websites: the future for who?" I'm not trying to be harsh; I'm trying to give a sense of scope. Nobody can walk you every step through this knowledge. I'm sure, as a teacher, you understand that sometimes the answer to someone's question is simply "you need to study more and come back to me if you still have those questions." If you want to truly understand BTC for what it is and how it works, which is what you'll need to do to gain an intrinsic and personal understanding of why it's valuable, it's like a 2 week full time project if you're starting from zero knowledge of computing and zero knowledge of the history of money. You don't have to do any of this to buy some. Most ride the knowledge of crowds and that's life. If you want the personal understanding though, there's no way around the work.
>Also this post reads like Ai. I think they used AI in some part but this doesn't seem like a copy-pasted output at all. An AI-generated post would've properly used the em-dashes. It also probably wouldn't start out randomly referencing BTC and PENGU. It would've used consistent formatting on the bullet points. It wouldn't have tied liquidity on exchanges to "real activity". But then again, who cares? It's a low effort bullpost regardless, doesn't really matter how it was made. These posts existed long before LLMs were making them. Now if OP started replying to comments where it was clear they were just copy-pasting them into an LLM to generate replies and was so careless that they started refuting their selves, like a certain ALGO maxi in this sub does, then that would be a different story. There is so much misinformation in here people should be verifying what they read no matter how they think it was created.
>crypto mining was/is an industry Yes, for big players who sell OTC. Data centers sell directly to AI companies too. >This only needs to work well enough to capture a tiny bit of market. Ping me when any LLM starts using Akash.
You can literally buy LLM Api credits on open router with crypto.
>unironically asking GPT for trading advice and to justify your trades Man I swear some of you can't actually be real people. What the fuck is with the crypto community and gargling LLM dicks for things they weren't made for?
If 3 sources tell me it's correct, a credible tweet, a Google search and a LLM, it's hard to dig further than that... But I guess it's needed nowadays :S
LLM's can't map this correctly visually, you're trying to hammer a nail in with a drill.
Does he also regret performing exactly like an LLM-generated concept of a standup comic?
Whatever LLM you pasted my comment into didn't seem to pick up that the person talking about how it was standard... was you. And then when I quoted it and it must not have either understood the formatting or it didn't copy over. And I actually explicitly said it *wasn't* standard. This is fucking hilarious.
Instead of daydreaming, why don't you wake up and use literally any other LLM that doesn't refer to itself as "MechaHitler?" Just a suggestion. Do whatever the fuck you want. I don't care.