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'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.
OP will be replaced by an LLM tomorrow
Fully generated post as well, all the text is written by an LLM.
Might be stupid for some people, but have you tried breaking down concepts that you don’t understand with Chatgpt? I usually resort to an LLM when trying to understand complex topics. While it has definitely become very sycophantic over the past few updates, it does a good job at giving me an explanation of something I don’t understand from an ELI5 perspective. You should try it out as well.
Yeah little Joey, the self-promoting, effeminate snowflake who desperately wants to be an iNFlUenCer now tries his luck on Reddit after getting booted from Relai last year. A shame he's blocking anyone on X who's disagreeing with him or uses a bit rough language that hurts his feelings...lol Besides, better go back to school. Different exchange rates aren't hyper-inflation. Every LLM could have told you that: [https://claude.ai/share/8de47180-14bf-43ec-a329-bbec6fd6228d](https://claude.ai/share/8de47180-14bf-43ec-a329-bbec6fd6228d)
Oh ok sorry. Just to get you up to speed, now nobody codes anymore, we just all partake in an activity called "vibe coding" where we chat with an LLM to produce sloppy, non-scalable, non-maintainable code. The future is NOW!
Aight. Whatever you're doing, just be prepared to receive backlash online when posting chatGPT responses. It just looks lazy and gives off the "I'm too dumb to think for myself" vibe. Not saying you are. Just how it comes across. And most people (including me) will just stop reading after the first sentence indentified it's coming from an LLM. I think a copy paste of any LLM is not a good addition to a discussion between humans. Because if I wanted that, then I could just go argue with GPT myself. Use it to discuss your thoughts about something and then go from there. Summarize what you learned into a comment with your own words after you fact checked it. Maybe link the conversation you had with it. An LLM will never become a facts only machine because of how they work and how they get their datasets. Until we have actual artificial **intelligence** that actually understands what its doing we're stuck with a hallucinating mess that can't be trusted. It's useful though. But not a replacement. Have a nice one dude :)
For simple things, free LLM's probably work fine. I don't like having to create an account and sign up to a lot of stuff to use free LLM, so using a NanoGPT without an account I think is pretty nice, think there is also a free model on NanoGPT. I use NanoGPT pretty inconsistently, sometime many times a day and sometimes once or twice a week. So I like to fill up my balance with some Nano and then use some of the best AI models and they cost like $0.02 cent per prompt, this varies by models ofc. Shop next door adoption i kinda feel is the last steps in the adoption curve, there is so few people who have heard about Nano. Even with Bitcoin that everyone in the world has heard about, I've have never seen a shop next door that accept it.
it always depends on your expectations. if youre looking to double your money, that will not happen within years, it would require the bitcoin price to be x2... just do the math, ask any LLM (o3, gemini 2.5 pro)... they're getting smart enough to answer your questions, and then you take a decision.
Try that with no coding experience or understanding of what you’re building and let us know how it works. You need to know how to do it just to properly prompt the LLM. Let alone fixing its inevitable mistakes. “AI” cannot do everything for you, not yet at least.
>idk why you're getting so defensive over someone else's post, but that's far from my point. I'm just as confused why you're attacking someone over using an LLM when they made a good post regardless and it's also become clear you didn't understand the post so I tried to explain it for you. >Then can you explain to me what a "gas compression rollout" is? cuz to me it's an extremely odd way of saying L2, I might be wrong tho. If you think that needs to be explained, it's clear the point of mentioning it is still going over your head. >Aaaaaand if you've been following crypto, you'd know that USDT is mainly used in TRC20. so having to mention "on Tron mostly" makes the sentence feel a bit too extra, it's common knowledge that USDT is mostly held in the Tron network, iirc about half of all USDT is in Tron network. yeah... that's what I just told you... when *you* asked why they mentioned Tron... >Anyways, let's not incentivize people using AI to make gibberish posts like these, I don't see anything wrong with using AI as a tool, but fully relying on it removes the creativity from just about anything. AI slop is just bland. Again... this isn't slop. Just because you can tell AI was used doesn't make inherently make something slop. >My best analogy of using AI as a tool would be similar to calculators, like what's the point of making kids learn mental math if they can just use calculators? if this is a rhetorical question, then it sounds like you're agreeing with me, or do you have an answer?
Oh my jeez, could this be ragebait? no idea lol > I said besides the emojis Yeah, that was my closing remark which included all of the factors which make it AI? > lol, there is no em-dash. Did you just assume there would be one because you've heard that's a typical hallmark of them? Yeah I misspoke, not an em-dash but there is obviously a use of the "-". Whats that, no idea a compound adjective? Nonetheless nobody would ever use those two words, let alone dash it. > umm, you've said the emojis, which was the only tell I already mentioned, and one wrong tell, so IDK what this could mean. There is a lot more that goes into reading a piece of text that makes it a "tell". Like I said, it simply reads like something of which an LLM would produce. It simply boils down to the use of complex terms no one would ever use, and the sentence stucture. There is a lot more aspects into a piece of text than the emojis, which you are so hooked on lol. > lol what shit logic is that? You can absolutely make an LLM give outputs that are stylistically different from what you think "simply reads like AI." Just because it is, doesn't necessarily mean it has to read like it is. Yeah sure you can prompt an LLM to change its writing style lol. Like look at what OP wrote, and the formal writing LLM's also output. But there are **usually** telltale signs that indicate the use of an LLM in the writing like the post we see here where it **was** used. Also like that argument makes zero sense to what I said? You're spewing pure non-sense. > You also need to understand how prone that logic is to survivorship bias. If you only think that LLMs produce text that reads as obviously from an LLM, that's probably because you're not catching the more subtle ones. You literally can't know how many you've missed. LLMs pretty often-ish generate text that you can reletively read as LLM. Unless a lot of human work was done to modify what was outputted. Anyways again, any arguments you make here still dont make sense because OP already confirmed it's AI. If you're human and not some karma farming bot and you have looked at unedited or lightly edited LLM responses its pretty clear to be AI, or at the very minium highly likely. Humans are well at pattern recognition, it'll be pretty hard for someone in a reddit response especially to give a perfect explanation. Especially one of which you would take and not forge your own perception of somehow. You and I very likely miss the more subtle ones, or heavily edited ones, however that is relevant. But that has literally zero relation to the pretty/reletively obvious one we have here. Having read the non-sense you have spoutted I probably wont waste anymore time making another response, given your response is still non-sense. So if you bring up any good points that arent just gorshlop happy to respond.
> The emojis, I said besides the emojis >the use of an em-dash, lol, there is no em-dash. Did you just assume there would be one because you've heard that's a typical hallmark of them? >the way it reads, all makes it seem AI. umm, you've said the emojis, which was the only tell I already mentioned, and one wrong tell, so IDK what this could mean. >And any argument you make to say why it doesn't sound AI gets pretty much invalidated because OP already confirmed it was lol. lol what shit logic is that? You can absolutely make an LLM give outputs that are stylistically different from what you think "simply reads like AI." Just because it is, doesn't necessarily mean it has to read like it is. You also need to understand how prone that logic is to survivorship bias. If you only think that LLMs produce text that reads as obviously from an LLM, that's probably because you're not catching the more subtle ones. You literally can't know how many you've missed.
So someone talks about an issue that is close to you personally, and instead of being proud that someone in this sub finally mentions it, you instead make an assumption that they made poor research? You just made an assumption doing that, and they had enough details to tell they did at least cursory research, they understand Tron's market dominance, they understand why people use it, they understand where it is popular. But instead you get mad because you assumed that they assumed... the irony. >Maybe its a bias, but when people talk about a whole continent it pisses me off because there are so many different countries with different struggles or solutions to life... They used "Africa" in the title because it's short and to the point. Then they literally mentioned specific cities in the post... You need to have realistic expectations and also not jump to the worst conclusion, clearly before you've got all the information. >As for the LLM thing... its just very annoying, man. Most posts are now AI based and they all sound the same, doesn't that annoy you? They don't seem real anymore. Why though? If it's just slop I don't care how it was made but this isn't slop, and if it's a great post, why the fuck would I care that an LLM wrote it? At that point let the LLMs take over the sub because most shit here is garbage anyways, not a learn to learn or discuss. And this is like the only post I've ever seen in recent history talking about what is by far the biggest story in crypto *and* in the traditional markets with Circle being a massive runaway IPO hit.
>So first of all, I've never seen anyone mention "decentralized sequencers" outside of the Eth community, most of them are centralized, like in Solana or Binance Chain, idk what a "gas compression rollout" even is, it's really fancy wording for L2. Way to miss the point because you were preoccupied about how it was written. You picked up on the fancy wording but didn't realize why they used the words because you assumed an LLM would just choose "fancy" words. The use of those terms was intentional to contrast the fact that crypto's killer app is simply a digital dollar. >Did the AI really have to mention "on Tron mostly" part? That part in particular felt really extra. If you've been following crypto at all, then you'd know if you're talking about stablecoin adoption, then yes, mentionly Tron is *extremely* pertinent. >"DeFi-native yield vaults" is a really weird way of saying "DeFi Staking" Because it doesn't just mean staking, it's another intentionally verbocious phrase to illustrate the same point I just mentioned. >The 2nd last part is the most obvious part, this one is oversimplified, I've never seen anyone type like that apart from LLMs. lol an LLM wouldn't even type like that unless specifically instructed and if it was specifically instructed then it probably originated from a specific person's writing style anyways, making the distinction of whether or not it's an LLM meaningless. And plenty of people use less than or greater than signs like that, I'd argue it's far more likely to see a person use that rather than an LLM.
Cheers for the feedback mate, now I confirm that ChatGPT (LLM) often hallucinates. So I’d know what points to raise to get insights from the folks I target
Nah dude, I'm from a third world country myself, and I see and learn from news articles how crypto is helping many nations. But when I read posts about how "Africa" needs help or is being helped, I just assume its a first world dude that wrote something with poor research. Maybe its a bias, but when people talk about a whole continent it pisses me off because there are so many different countries with different struggles or solutions to life... As for the LLM thing... its just very annoying, man. Most posts are now AI based and they all sound the same, doesn't that annoy you? They don't seem real anymore.
So typical of this subreddit to be told an inconvenient truth(or really anything worth of discussion) only to focus on semantics of how it was posted. This is a topic this sub loves to ignore or downplay, god forbid we actually discuss it's substance rather than demonize OP for using an LLM. Maybe we can get a 500th post about Saylor buying instead, written by somone individually pressing every key, just like in the good ol' days!
Do you put glue on your pizza and eat rocks because an LLM tells you to? Or were you already doing that on your own?
when are you nerds gonna learn no one cares what a LLM spit out at you. booooooo this man
I have tried many times, and no my answer doesn't change.. it's very easy to steer an LLM into a specific direction by how you phrase your question, you can just argue it towards the answer you want even if it disagrees, because it will just resort to lying.. you can even do it with objective truths except it would be way harder.. in this case though it would be very subjective, so it would be quite easy
No it's not, because of the reason I just explained, you can very easily phrase a question in a way where the LLM will answer you based on what it expects you want to hear, not to mention since this is a very subjective question you can just ask it the same question 100 times and get 100 different answers, and then you just pick the answer that best fits your bags.
Interesting experiment, but drawing strong conclusions from LLM outputs on complex financial assets is risky. LLMs are trained on vast datasets, reflecting prevailing narratives and biases, not necessarily objective market realities. Nano's focus on speed and low fees might be the factor driving these results; the models may be prioritizing these characteristics over Bitcoin's established network effects and store-of-value proposition. Further analysis should investigate the specific reasoning behind each LLM's choice – examining the internal logic of the responses would be far more insightful than simply tallying the votes. The real-world adoption and market capitalization still strongly favor Bitcoin, despite what the LLMs suggest.
It just means the data they LLM is trained on had more NANO shills than BTC shills, which is fair statement. BTC is quiet and Nano is trying to steal market share by being loud. On top of that, LLMs basically affirm whatever nonsense belief you have, so you can get it to affirm your opinion with very little effort.
"If AI is biased" ... It is. If you ask it the same question in a different way it will support the notion that Bitcoin is. Sample size is still important in data. How many times did you ask each AI and how many different structured prompts have you used? You presented a sample size of n=1 for each LLM here and walked away with the interpretation of an opinion being fact. You're quite literally all of my fears about the influence of AI in society packaged into one user.
nobody cares what a LLM spit out at you.
What a shit article. I gave the author, "XRP_Manchester", the benefit of the doubt. I shouldn't have. Entire article is baseless rumours. The only technical bit , about flare, he clearly doesn't understand. But seems to think it's revolutionary. Which it's not. Every other chain has the same functionality. Christ I hate these wannabe XRP influencers. Fucking Uber drivers with a LLM.
It is very off putting when you shit everything through some shitty LLM. Every other post you have made is all fluff with zero substance. Anyway, linking fragmented systems. Check. Solving compliances issue. Check. https://www.swift.com/news-events/press-releases/swift-ubs-asset-management-and-chainlink-successfully-complete-innovative-pilot-bridge-tokenized-assets-existing-payment-systems Solving settlement...check. every bank will run it's own chain. https://www.prnewswire.com/news-releases/chainlink-kinexys-by-jp-morgan-and-ondo-finance-team-up-to-bring-bank-payment-rails-to-tokenized-asset-markets-302455268.html So hbar/XRP/XDC are just memecoins and relatively useless.
And that is what makes this graph completely useless. I'm as big a fan of bitcoin as the next guy but I also build some of the worlds largest super computers for my career so I know that petaFLOP and exaFLOP is how computing calculations are calculated and not hasrate. You can't run an LLM or cure cancer with hasrate. It's only use is to secure the bitcoin network making it a useless comparison unit to compare with super computing power.
Me? No v; I edited my comment after looking up what it meant. Im not a native speaker so some terms and slang in specific areas are unknown to me. Guess in a way I am an LLM in progress.
Transfer between blockchains -> TAX e.g. change BTC > ETH Transfer between wallets -> NO TAX, what is your tax gain/loss here? What do you want to be taxed on? I think someone that answered your email simply confused Trezor with some scam-coin. If you are not convinced realize that ABCskatt is based on their interpretation of the law, you can look up the laws directly on [https://lovdata.no/](https://lovdata.no/) and parse them with some LLM for answers. On another note, for extra taxes in Norway, I can warn you that Norway does levy weath tax on crypto value at the end of the year, so you might pay even for unrealized gains (depending on your total wealth)!
Thanks, more evidence LLM's are absolutely useless. Shit in. Shit out.
Pay per prompt LLM access with Nanogpt, various gift cards with nanswap, until recently I was using it to tip people on social media (stopped using social media), and settling dinners/poker matches/etc with friends.
You are asking leading questions to an LLM and getting the result you hoped for, then decided to post it here. This doesn't change anything about Bitcoin that hasn't already been discussed at length on this sub before. You know chatGPT lost a chess match to an Atari 2600 running at 1Mhz, right? You can't use it as a proof for sound reasoning; especially when you're fishing for answers and compliments from it. If you flip the skeptic tone in your same questions for an enthusiastic tone, I bet you'd receive the same from chatGPT's responses.
What is the point of posting this LLM generated slop? What do you gain from doing it?
Whichever LLM you used here did a piss poor job. The whole crux of my argument hinges on time to market and "perceived technical merit" being a red herring. >Analyzing on-chain data showing transaction volume, active addresses, and developer activity over time would provide more concrete insights than relying solely on perceived technical merits Like this is my exact point... If you invest based on perceived technical merit and after 8 years the project is floundering based on things like txn volume, active addresses, etc... the your perception of the technical merit was likely misplaced.
You don't think an LLM can sort through trade analysis? You should go short Palantir If you don't think LLMS can sort through data and follow commands.
LLM? LOL. An LLM isn't going to tell anyone anything about an individual's Bitcoin transactions.
It doesn't read like an LLM wrote it, but it's just kinda all over the place and isn't very concise getting to the point nor is it very clear what your point is or what you're suggesting. Also making this long of a post about the economics of staking for investors, without addressing liquid staking or ETF's, seems like a major oversight. Same with making this long of a post without using a single numerical figure or any specific examples.