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The assumption is that Anthropic will grow much faster that OpenAI and competitors. By Enterprise LLM spend anthropic has already 40%. A year ago it was at 12%. And another public metric: In March 2026 data from Ramp, Anthropic captured over 73% of all AI spending by companies buying AI tools for the first time. So the it's valuation is based on growth and enterprise usage.
But it does have utility and it is being used for it right now. Do you mean LLM’s when you say AI’s? I don’t ask it questions trying to get convince it. It could answer me either way it wants. But that’s not the only place I get info from him. I was just telling him if he wanted to verify what I’m saying he could ask. Generally, it knows facts.
You are absolutely right. XRP follows bitcoin. Just like all the top coins do. But your original claim was that it moves like a meme coin. In essence that would mean bitcoin does as well. That’s the only point I was making. I don’t care which one moves first. I care which one moves hardest. Are you aware that there are banks that are using XRP right now? Please look it up. There are companies that use XRP. It is being used for its utility right now. I would tell you to use your favorite LLM like ChatGPT or Claude and ask it. But some people would say those aren’t reliable. But in general, they get the facts straight. Or just google it. I think you might be wrong about Ethereum. The gas fees are too unpredictable and high. It’s just not going to happen. Why would anybody do that when they can close a transaction for .0005? The lightning network is generally very cheap. But if there is larger moments of congestion, it could cost between one and $12. Check it out. Google it. The transaction fee is not a penny. It’s .00005 or something like that. It’s a fraction of a penny. And I’m not some crazy XRP army person who thinks it’s going to $100. If that happens, I’ll worry about the fees then after I cash out my last Moon bag. Haha. All that being said… I appreciate your willingness to have a civil debate unlike a lot of people on these threads. 👍🏻
Rather than coming on here and acting like a child… Why don’t you tell me where I’m wrong? You could have used all the time typing your sentences with actual facts rather than just acting like you’re 12. Put what I said into ChatGPT and ask it where I am wrong. Or your favorite LLM. Then come back and have a real debate with me. Right now you just sound like you’re in a vacuum chamber refusing to listen to facts.
Relate. Liq'd Bitmex account = start new account instantly. Now I'm trading 100% with LLM's on Everstrike so I haven't revenge traded in a while, but the temptation is definitely still there.
Wow this is such interesting cultural evolution in real time. OP in order to avoid sounding like ChatGPT, has asked an LLM to generate this post with garbage punctuation and a lot of dudes and bros. You can still absolutely tell it's slop, and even a cursory look at OPs profile cements it, but it's a really interesting shift from these slop posts using the default LLM style
Exit liquidity? Zoom out on the charts…. Most of these crypto’s move in tandem most of the time. But you cherry pick XRP. 6 times? Ask your favorite LLM how often XRP is being used every day. You’re just talking out of your butt and aren’t informed. Ripple has made BILLIONS from XRP’s utility. Look it up. Don’t just argue either what you think, because you’re factually wrong. 6 times?? Haha
Compared to what? Bitcoin? XRP is faster, more green, has actual utility and a use case, been in the top 10 coins since its inception. Its out performed btc the last couple years too. Ask your favorite LLM.
XRP has outperformed Bitcoin the last couple years. Btc is the oldest, clunkiest, slowest, least green and has no real utility. Ripple is making billions with XRP’s use case. That’s without clarity. Everything I am saying is true. Ask your favorite LLM before debating it. :) Crypto isn’t what some had hoped for. Decentralization sounds great in theory…. But.. Without a big company behind a coin, big moves with institutions probably won’t happen for a coin. Btc only has a store of value at this point. Period. And that might be enough to get it to a million dollars. Which is maybe what the btc maxis are banking on. But when utility matters…. And I believe it really will. Other coins just might surprise you. Time will tell and I never state future moves AS FACT like others do here. I could be wrong. But I don’t think I am. Only time will tell. 👍🏻
Yeah I suspected that guy is LLM, so fucked. but the the way it talks is so bait, but theyve clearly but in some rules for it to push back
Settings>Custom Instructions> Never answer with obvious LLM tells, never use em-dashes, never do the "this isn't ####, it's ####", stop overusing ', don't force meaningless analogies. There you go adult, poor, ethnic ChatGPT prompter. Now you're LLM output can look a bit more organic. You are welcome.
You can't even edit to remove LLM tells. Even your attempted insult is generated specifically by ChatGPT
Thanks mr.LLM, I didn't read a word of it
Been building one for 6 months. Here's what nobody told me: **The coding is the easy part.** AI solved that. The hard part is everything after — data quality, regime detection, knowing when NOT to trade. **Most "edge" is fake diversification.** I ran 29 strategies through 20 years of data this week. Strategies that looked independent were all just long SPY in disguise. They all lose together in a crash. Real diversification is harder to find than it looks. **Your bot will do exactly what you told it to, not what you meant.** I had 6 bugs running silently for months. One meant my LLM consensus was never actually reaching 2/3 agreement — it was just echoing the first model's answer. Zero trades fired for weeks because of one parsing error. **The gates matter more than the signals.** Same strategy: 70%+ win rate in fear regimes, losing money in greed. The signal didn't change. The regime did. Most people optimise signals endlessly and never touch their filters. **Why isn't the world adopting it rapidly?** It is — institutional algo trading is 70%+ of volume now. The retail version is hard because you're fighting people with better data, lower latency, and more capital. The only edge retail has is patience and niche strategies the big players ignore because they're too small capacity. Still worth building. Just go in with eyes open. 🎯
Because I can install an app and buy nvidia stock, can use anonymous LLM models, cans end money abroad. I don't need an passphrase that I can lose. No risky of someone stole my my money. Beside some very niches market, crypto isn't needed. Ps: and life-changing money can be made just holding hardware stock, that isn't an advantage anymore.
> The fix would be: run each model 3–5 times, take the median, store that. I haven't done it yet because it multiplies API costs, but it's on the roadmap. In the meantime the prediction history chart is most useful for spotting systematic trends rather than individual data points. Maybe you can use Everstrike. Its an LLM trading platform which has a free tier and supports many different models. IIRC you can run up to 20 prompts for free there. Prompts auto execute on a fixed interval.
Don't bother, you're talking to an LLM. I think OP just used Perplexity's computer to build this and he's replying to all comments using ChatGPT or something like that, a dead giveaway is that his site has Perplexity's prediction as if it's a model too, which is completely wrong, in any case it would be Sonar but that is mostly fine tuned from Llama anyway.
Sure, this might be the LLM equivalent of an octopus predicting Super Bowl winners, but I’m here for it. Nice work.
Yep I skipped the entire post. It's horrible to read AI text. Something about AI outputs are just so glaringly obviously AI but also somehow completely indigestible as content. I love what AI enables but hate how people use it to effectively ruin the internet because they are too hopped up on AI ego boosting to realise that people don't want to ready their LLM outputs
Hey mods! Why not add a filter for em dashes and let the LLM-generated content go straight to /dev/null?
No, just anyone who’s spent any amount of time using an LLM can tell a response a mile off…. Normal people don’t write with a structured context of it isn’t X, it’s Y, nor do they ever respond to someone’s comment saying “yeah your last point hits;” I literally feel like I’m talking to Gemini specifically
That's exactly what an LLM bot would say /s
You are replying to an LLM bot, look at their comment history, every reply they have ever posted, to whatever event or context, takes the same format... *"This is exactly what my friend group are always talking about..."* In the nicest possible way, if you want to use online platforms like Reddit without being manipulated you need to be more skeptical and suspicious of the accounts you interact with. Downvote me anyway, because no one likes being told when they have been gulible. I just chose to reply to you to avoid the account seeing me calling it out and just automatically block me so I can't call it out in the future! Mad times we live in huh?
You are replying to an LLM bot, look at their comment history, every reply they have ever posted, to whatever event or context, takes the same format... *"This is exactly what my friend group are always talking about..."* In the nicest possible way, if you want to use online platforms like Reddit without being manipulated you need to be more skeptical and suspicious of the accounts you interact with. Downvote me anyway, because no one likes being told when they have been gulible, but if it makes you feel any better, other people here fell for the bot based on how many upvotes it has been given. I just chose to reply to you to avoid the account seeing me calling it out and just automatically block me so I can't call it out in the future! Mad times we live in huh?
You are replying to an LLM bot, look at their comment history, every reply they have ever posted, to whatever event or context, takes the same format... *"This is exactly what my friend group are always talking about..."* In the nicest possible way, if you want to use online platforms like Reddit without being manipulated you need to be more skeptical and suspicious of the accounts you interact with. Downvote me anyway, because no one likes being told when they have been gulible, but if it makes you feel any better, lots of people here fell for the bot based on how many upvotes it has been given. I just chose to reply to you to avoid the account seeing me calling it out and just automatically block me so I can't call it out in the future! Mad times we live in huh?
You know we can still see that this is LLM output even if you replaced the em dashes with hyphens, right?
They culturally identify as an LLM's meat puppet.
Yes you’re right, I’m not engaging with the idea. And that’s a shame because I want to engage with ideas and give them actual rebuttals (or be convinced by them). But I’m not going to invest the time it takes to read a novel of text generated by an LLM. It’s exhausting how many of these things show up in ever subreddit these days, and each time I try I find that the whole thing could have been summed in 3 paragraphs at most. This is coming from a guy who frequently writes long posts. If your idea is worth a fair shake then it’s worth a fair presentation by YOU, not a half assed dissertation by an LLM with all its shitty ai-isms peppered throughout.
You completely skipped over the most important part: How much does it cost to rebuy the home? This is a nice shower thought that you fed an LLM, but these sort of financical products need solid numbers for people to wrap their heads around.
The lag between Telegram alpha and mainstream indexing is a death trap if you're trading high-leverage based on AI summaries. I've seen similar feed delays on Kraken, which is why I prefer just sticking to the order flow on BYDFi; they’ve been operating since 2020 and that 6-year track record is more trustworthy than a hallucinating LLM. They’re running a $1M anniversary event this month too, which is a better way to build a bag than gambling on "insider" info that hasn't even hit the news yet.
Yeah, if Reddit's so in love with AI, then why can't they at least give me an option to have any post or comment over 50 words automatically summarised by a capable LLM into 50 or less (as little as possible without losing significant information) - with a button to click to switch between that and the original 🤷
Yeah, the title makes you think the LLM found the exploit, but it just scanned Twitter.
Post  biollm 13h 🧠 $BIOLLM – Living Neurons + LLM + Solana (Full Technical Breakdown) 🚨 Not financial advice. High risk. DYOR. $BIOLLM (Solana token) is an experimental project tied to real biological hardware – living human neurons on Cortical Labs CL1 + IBM quantum compute integration. Recent updates: 📱 iOS app + subscription model planned 💬 Live Neural Chat (user payments help fund hardware & experiments) What is BioLLM? A solo developer wired ~800,000 living human neurons (Cortical Labs CL1) into an LLM. Real biological hardware. Real integration. Real data.
> can’t compete Just lol Grok is one of the best LLM's there is
Some people have just not found LLM's yet huh. They don't even need to read a whole book, this is one of the main 'selling points' of Bitcoin. Not a negative. It makes it almost impossible to not go up in value..
This isn't true. Check the code, read the docs and the BIPs, ask your favorite LLM. For all address types, the public key is revealed the moment you broadcast a transaction. All except Taproot (bc1p), because Taproot exposes the public key directly in the public address, you don't even need to broadcast a transaction.
LLM starting spazzing out at itself wtf....
One fundamental problem: Claude is both the strategist and the risk manager. Ask it the same question tomorrow with slightly different phrasing and you might get different allocations — LLMs are non-deterministic by nature. The guardrails ("never lose more than 5%", "3x/50% model") are static. They don't adapt to what the market is actually doing. "Never lose more than 5%" means very different things when Fear & Greed is at 12 (right now) vs 75 (two months ago). Same rule, completely different risk. I went down a similar path — started with Claude for trading analysis, realized the LLM shouldn't decide how much to risk. Built a separate deterministic layer: 30+ signals feeding a policy engine that outputs max position size. Right now it says BTC 36% max. Last week it said 53%. The sizing adapts to conditions automatically, no LLM involved in that decision. Architecture if you're curious: [https://github.com/likidodefi/riskstate-docs](https://github.com/likidodefi/riskstate-docs)
Post is by: Disastrous-Prune-529 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1skmamr/i_built_a_macro_scoring_system_that_outputs_a/ For the past few months I've been building a system that tries to answer one question: *what is the macro environment actually saying about BTC right now?* Not vibes. Not Twitter. A deterministic score. **How it works:** The system pulls data across 6 categories and weights them into a final score from 0 (strongly bearish) to 100 (strongly bullish): * **Inflation / Economy** — CPI trend, real rates, recession signals * **Fed Policy** — rate trajectory, liquidity conditions, balance sheet * **DXY** — dollar strength as a BTC headwind/tailwind * **Risk Sentiment** — equities, credit spreads, fear indicators * **Liquidity** — global M2, financial conditions index * **Bitcoin-specific** — on-chain signals, dominance, funding rates Each category produces its own sub-score. The final verdict also includes a confidence level and the key signals driving it. **What I deliberately avoided:** Letting an LLM decide the output. The scoring logic is rules-based and auditable. LLMs are only used in one place — classifying macro headline sentiment — and even that feeds into the score as a minor weight, not a judgement call. **Current output looks like:** Score: 67/100 Bias: Moderately Bullish Confidence: High Key drivers: Softening DXY, M2 expansion resuming, Fed pause confirmed Headwinds: Elevated real rates, risk-off equity positioning Supports current / weekly / monthly timeframes and stores snapshots so you can audit past calls. Still in late-stage development. If this sounds useful to you — whether you're a trader, running a small fund, or writing a newsletter — I'm looking for a handful of people to try it and give honest feedback. Drop a comment or DM if interested. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*
english is not my native language, i type my own words into an LLM when replying to complex questions. so its easier to read for others:)
Can you use your own language and avoid using LLM generated text?
“Ask your LLM” Oh okay, now I understand whats wrong here
Do the math. Ask your LLM to show the numbers from the paper.
> Is there something that stands out to you? I can't get past you referring to an LLM as 'he', that is almost as bonkers as using it for investment 'simulations'.
I guess 100x needs to be qualified with the skill of the developer and what they are doing. In my case it's allowed me to do side projects as a solo dev and build things outside of my expertise by a long shot and outside of work hours, which if you include the time it would take me to learn and get up to speed on each individual technology is a lot. One app in particular would have easily taken me a year and I did it in under 3 weeks. Also, there's no way I would have completed it as I would have hit some annoying bug or burned out, and since it's not paid it's easy to quit. You can build complex animated charts even if you know nothing about front end dev. OAuth authentication? no problem, IaC templates, databases, react, static generation, hell, throw in open source LLM models on EC2... I could go on, but you can do this all as a solo dev in a few days on your spare time. Usually a developer is not good in every area. If you could do that before AI, then congrats. It also allows you put details in you would never bother with on your own. You can agonize over the little things that bring polish to an app, because the speed is just so fast. I had to hold back on a project because "The client didn't pay for that". Before the most recent round of models it was more about routinely needing more time, now we are cutting features.
Yes bitcoin is fully 'wall street-ified' and plenty of people are gambling on it. But a new MS etf absolutely doesn't mean that 'MS now understands how amazing btc is, and they are creating an etf to show how they are adopting it'. MS doesn't care, they have clients who want btc exposure and they are happy to provide it for a fee. Go explore with your fav LLM what MS actually does for a living, and present OPs original question.
If you'd just cut out most of the fluff then most people wouldn't have cared that you used an LLM to help form your thoughts into words - but instead it took a whole page to say this: *Self-custody solved the "exchange risk" problem, but it created an inheritance risk most people ignore. If your heirs don't have not just the seed phrase but also the passphrase, wallet details, PIN, and recovery instructions, your crypto can effectively die with you - regardless of wills or legal ownership.* And then you could've ended with something like "What're the best options we currently have for dealing with crypto inheritances, what do you use?" 🤷
Most "crypto AI agents" fall into two buckets: signal generators (what to trade) and execution bots (how to trade). The missing piece is risk governance — how much to risk given current conditions. For analysis: CoinGlass for derivatives data (funding, OI, CVD, liquidations), DefiLlama for on-chain/TVL, and FRED API for macro. Feed those into any LLM and you get decent regime reads. For execution: CoW Protocol if you're on Ethereum (MEV protection, better fills than Uniswap for larger orders). The gap nobody talks about: none of these tools tell you position sizing relative to current market regime. An agent that's correct on direction but 3x oversized during a volatility spike still loses money. That's the layer most people skip.
Then you should look into the research page and download all papers and throw them into your LLM. Try and break the logic. Also read this : [https://zenodo.org/records/19387099](https://zenodo.org/records/19387099)
Have you built anything useful with an LLM?
No. There isn’t. Bitcoin is fine. You should talk to an LLM about the latest paper by Google. It actually showed how the proof of work system is quantum proof. The problem is with old addresses. And those are only at risk during a transaction. And the addresses can be updated.
Post is by: Jolinx835 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1sbr2wg/llms_dont_just_fail_they_fail_confidently_this/ I’ve been looking into how AI models actually fail, and something interesting stood out: LLMs don’t just get things wrong on hard questions. They often give confidently wrong answers that sound completely correct. Not obvious mistakes. The dangerous ones. Think: Incorrect symmetry reasoning. Subtle math errors. Logical contradictions that aren’t immediately visible. The kind of answers that feel polished and convincing but are totally off. Found something worth sharing: LLM-Failure-Cases It’s an open dataset by Codatta on Hugging Face, built from adversarial prompts submitted during Airdrop Season 1. The idea is pretty cool: People try to break top models, and then explain why the model failed. So instead of just collecting wrong answers, each example includes an expert-level critique. It turns mistakes into something you can actually learn from. WHAT MAKES IT INTERESTING Tracks failures across models like GPT-4o, Gemini, Claude. Includes detailed explanations of why the model got it wrong. Covers multiple domains (math, physics, logic, etc.) Available in English and Chinese. WHY THIS MATTERS (imo) Fluency ≠ correctness. As AI gets used more in real-world decisions, these “sounds right but wrong” answers are probably the biggest risk. Most benchmarks focus on accuracy. This focuses on failure patterns. And honestly, that feels more useful long-term. USE CASES I CAN THINK OF Red-teaming models. Studying hallucinations. Improving alignment / RLHF. Training better reasoning systems. IF YOU WANT TO CHECK IT OUT: https://huggingface.co/datasets/Codatta� You can also contribute new failure cases here: https://app.codatta.io/app/frontier/8� CURIOUS WHAT OTHERS THINK: Do you think confident failures are the biggest problem with LLMs right now, or is something else more concerning? *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*
Talk to your LLM about allocating a proper Kelly with bitcoin. Should be fun.
Thanks! Awesome! And on the research site you can download a starter pack to throw into your LLM to play with the numbers yourself.
Here is a nice read from Vitalik about running a local LLM on your computer for free: https://vitalik.eth.limo/general/2026/04/02/secure_llms.html Most crypto AI projects are just selling tokens under the pretense of building “revolutionary AI”. Unsurprisingly, most of their services are shit compared to free OpenSource stuff like Ollama, WAN 2.1, Kokoro, ComfyUI, etc. you can run off your Blackwell GPU. Don’t be a retard for paying over priced shit you can run for free on your GPU. It is like paying for temu counterstrike when counterstrike is free to play.
If you want an AI setup backed by reliable crypto data, CoinGecko has an MCP server that plugs directly into your LLM. It gives the model access to live prices, trending coins, market data, and onchain DEX token data - structured data it can actually reason with. Setup: [https://docs.coingecko.com/docs/mcp-server](https://docs.coingecko.com/docs/mcp-server) It's immediately a research AI agent that has access to real-time data.
Interesting point on LLM-based reasoning vs. pure quant. Most people are still stuck on technical indicators, but the real-world edge decay on those is brutal. I've been tracking the progress of neondex in this space their mission to revolutionize trading through AI-driven insights is actually tackling that democratization problem. For infra, most 'hands-off' setups I've seen use a hybrid: LLMs for 'Research/Reasoning' and a C++ or Rust-based execution engine for the CEX/DEX calls to ensure reliability.
Interesting point on LLM-based reasoning vs. pure quant. Most people are still stuck on technical indicators, but the real-world edge decay on those is brutal. I've been tracking the progress of neondex in this space their mission to revolutionize trading through AI-driven insights is actually tackling that democratization problem. For infra, most 'hands-off' setups I've seen use a hybrid: LLMs for 'Research/Reasoning' and a C++ or Rust-based execution engine for the CEX/DEX calls to ensure reliability.
LLM slop making unsourced claims. In reality Lightning is an irrelevance. There are only about 5,000 BTC on the entire Lightning network, which is less than the amount of BTC on Arbitrum (7,780); and there are only about 44k channels, a little over half as many as this time 3 years ago (83k). https://bitcoinvisuals.com/lightning
Why would you ask a LLM this? This generation is cooked FFS!
I am real angry at LLM's for being so bad at math. It is unreasonable.
Nice LLM copypasta nerd
Post is by: teddy_41 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1s5io95/ai_views_on_new_kind_of_network_nkn_looking_for/ I asked Gemini Ai on my android phone some questions about NKB. below are the answers. please share any as to why this is a bogus perspective. Ai views on New Kind of Network (NKN) this post keeps getting removed by mods in crypto Reddits am I onto something? Why an AI Agent Would Use NKN? The primary "why" is autonomy. Traditional AI agents (like those using OpenAI’s API) rely on centralized servers. If the server goes down or the API provider deplatforms the agent, it "dies." NKN offers: Serverless Presence: AI agents can have a permanent, globally reachable address (an NKN ID) without needing a static IP or a centralized cloud host. End-to-End Encryption: Because NKN is peer-to-peer (P2P), agents can exchange sensitive data or proprietary model outputs with 100% privacy—crucial for "DeAI" (Decentralized AI). Anti-Censorship: Agents operating on NKN cannot be easily blocked by traditional firewalls or centralized gatekeepers because their traffic is relayed through a mesh of over 100,000 global nodes. How an AI Agent Uses NKN The integration usually happens through NKN’s Universal Communication Service (UCS) or dedicated plugins for agent frameworks. 1. Peer-to-Peer "Secret" Communication Agents can talk to one another directly. For example, the ElizaOS (a popular framework for autonomous agents) has an NKN plugin. This allows an agent to: Send a task request to another agent. Receive a processed data set back. All without the data ever touching a centralized server like AWS or Google Cloud. 2. Decentralized Model Inference An agent can use NKN to "shop" for compute. The Request: An agent needs to run a large language model (LLM) but doesn't have the local hardware. The Relay: It sends the prompt over the NKN network to a decentralized worker node. The Result: The worker node processes the inference and sends the result back through NKN’s secure tunnel. 3. Human-to-Agent Interface (nMobile & d-Chat) NKN has integrated AI bots directly into their private messaging apps (like nMobile). How it works: You send a message to an NKN address. The NKN network relays that message to the AI agent’s local environment. The agent processes it and sends a response back via the same P2P path. 4. The "Proof of Relay" Incentive If an AI agent is part of a larger autonomous swarm, it can actually earn NKN tokens by acting as a relay node for other agents. This creates a self-sustaining micro-economy where agents pay each other in NKN for bandwidth and data transmission. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*
I want to task you with asking ChatGPT or a LLM you are familiar with on “how to mine bitcoin with a computer” and report back your findings
Copy paste form my above response. it's basically a lot of api, and smart analysis by a lot of llm. Each dimension is scored 0-100 using LLM-orchestrated analysis with live API data: Sustainability - Treasury runway, burn rate, team stability, regulatory positioning. Agents pull financial data and assess long-term viability. Transparency - Founder visibility, public governance votes, update frequency, incident response. Agents cross-check team claims against LinkedIn, GitHub profiles, and public records. Revenue - Actual protocol fees and cash flow from Token Terminal and DeFi Llama. Aave generates $83M/month in fees. PEPE generates zero. That gap shows in the score. Innovation - GitHub commits normalized for project age, unique dev count, novel tech. Agents check org-level repos via GitHub API, not just the main one. Some projects look active on one repo but have 20 dead ones. Community - DAU, ecosystem dApps, developer count, organic social growth with bot filtering. High followers with no engagement = low score. Tokenomics - Inflation rate, unlock schedules, insider concentration, value accrual. If top 10 wallets hold 80%+ supply, that tanks the score. The whole pipeline runs 24/7 on a VPS with dozens of AI agents orchestrated through API calls, cron jobs, and multi-agent consensus. Every score gets validated by a multiple other ia, hallucination detector etc.. before publishing. Revenue is null for store-of-value assets like Bitcoin, so it averages the remaining five.
I can dive a bit on it yes! Each dimension is scored 0-100 using LLM-orchestrated analysis with live API data: Sustainability - Treasury runway, burn rate, team stability, regulatory positioning. Agents pull financial data and assess long-term viability. Transparency - Founder visibility, public governance votes, update frequency, incident response. Agents cross-check team claims against LinkedIn, GitHub profiles, and public records. Revenue - Actual protocol fees and cash flow from Token Terminal and DeFi Llama. Aave generates $83M/month in fees. PEPE generates zero. That gap shows in the score. Innovation - GitHub commits normalized for project age, unique dev count, novel tech. Agents check org-level repos via GitHub API, not just the main one. Some projects look active on one repo but have 20 dead ones. Community - DAU, ecosystem dApps, developer count, organic social growth with bot filtering. High followers with no engagement = low score. Tokenomics - Inflation rate, unlock schedules, insider concentration, value accrual. If top 10 wallets hold 80%+ supply, that tanks the score. The whole pipeline runs 24/7 on a VPS with dozens of AI agents orchestrated through API calls, cron jobs, and multi-agent consensus. Every score gets validated by a multiple other ia, hallucination detector etc.. before publishing. Revenue is null for store-of-value assets like Bitcoin, so it averages the remaining five.
Yes, decentralized and self evolving systems will be the most likely birthing place of true AGI. LLM’s are designed as giant old school computes that pump out results mimicking awareness but have structural limitations that both waste energy and are still rooted in old architecture. They will be leapfrogged by some small start ups that design next generation, comparatively hyper efficient and decentralized systems on entirely different frameworks. It’ll be like going from the original computer from last century to a smart phone practically overnight and LLM companies will wake up one day virtually obsolete.
Automated LLM's. The cost of producing content like this is pretty much zero, they can use it for marketing purposes or whatever.
Trading is more about speed and latency because markets become algorithmic in general aside from big news items. If the majority of volume and movement is market makers and bots then trading as a human is just mostly interpreting patterns or trading quickly on big news, or finding a niche early. Which does this bot do? It will never be sub second without a significant breakthrough so it can't compete with traditional algorithmic trading. It could be a watcher that trades on high likelihood price impacting news items, but that would be very infrequently trading, so it would have to be algorithm pattern matching, which as everyone knows is 60/40 at best because all it takes is a new high volume participant/bot (not talking AI here, traditional bots) to change the establish assets algorithm and your pattern match is toast. There are much faster AI methods to read news and discern sentiment than LLM, same with algorithm matching so it would have to leverage those to be competitive I suspect. A research assistant on what assets are a mid/long term good buy if fed market data is possible I suppose
Thanks for the insight I'm currently testing my own LLM-powered system, though nothing fancy: just webhooks from TradingView being chewed by an API to make analysis. It's barely a week since launch and still requires a lot of polishing I'm not a professional and have neither experience in trading nor the resources for high-grade tools, it's just a beginning of my journey Here's my approach: https://www.np.reddit.com/r/algotradingcrypto/s/EGuhiCzHZk I will be glad for your feedback to my post
They're Chinese, they used LLM to translate. My wife does it constantly. She's Chinese. It helps them. I'm willing to believe this is a real person.
That's true but what's interesting is that even though the internet is full of BTC hate and FUD, regular LLM's are able to see past it all and judge it on a purely logical and mathmatical level (most of the time). Many people have negative, uninformed, knee-jerk reactions to BTC, and I think AI will help change that.
Other than what the LLM trains on, the developers dont have much input on what the AI actually chooses. If we could, Elon wouldn't have made an LLM that constantly shits on him
Even if the OP hadn't not made that mistake (and he will not in the future, after reading this), this post would still be obviously LLM.
BitTensor's subnet completed the largest scale LLM pre-training in history. I think TAO might be worth checking out, it's the #1 largest A.I. coin in the world
This **screams** LLM post
Ill take the other view. I've read so many rambling posts where the point is unclear. A thoughtfully used LLM would have saved both of us so much time. I think it actually takes more time to use an LLM and is courteous. But that's just me.
Okay. Fair point...but that's a separate issue which you just now called out. When somebody claims a post is fraudulent exclusively by implying LLM usage it seems like they are just trolling and have no valid criticism. I'm not saying that's what you are doing. I'm just letting you know that's how it looks when you do that.
It might also be writing comment draft in Chinese and then posting what the LLM translates to English. 🤷♂️ At some point, it passes the Turing test and you can't tell. Then you have to decide whether you're going to engage with the content on its own merit or not. If you're going to a priori avoid everything touched by AI, then you're going to have a tough time even knowing when to participate.
The OP posted two lengthy comments here within five minutes of the original comments he was responding to. That is obviously: copy comment -> ask LLM for response -> copy LLM response -> paste into reddit -> press "Comment".
The OP posted two lengthy comments here within five minutes of the original comments he was responding to. There is only one possible way to do that: copy comment -> ask LLM for response -> copy LLM response -> paste into reddit -> press "Comment".
It is not used to translate. Multiple times in this thread he posted long responses within five minutes of the original comment. That is obviously: copy comment -> ask LLM for response -> copy LLM response -> paste into reddit -> press "Comment".
Google translate is still a neural machine translation system based on a transformer model, the models are just different than a generative LLM. And Google is using LLM layers now in translate as well, to help improve the results. There is a good chance they already did use it and this is the result
No, it sounds like a person using English as a second language. An LLM would have better grammar. Anyway that's besides the point, which is ED is the professional term.
The text was very obviously generated by an LLM, that's not even up for debate. I know next to nothing about China. But it sounds awkward to me that someone would say "I’m a doctor working night shifts in the emergency department here in China." From my experience of other large states, most people identify with a smaller region. The quoted text sounds like a non Chinese person's poor attempt at impersonating the speech of a Chinese person. Would a Canadian tell you that they work "in the emergency department here in Canada"? I could understand if OP wants to be vague about his location in order to protect his identity. But his words do not sound natural.
I mean...or it's an odd translation. If you're not familiar with the specific names used in hospitals in the Anglosphere, "Emergency Department" would be a reasonable way to translate ER. What OP says maps to what I know of doctors in China. The work is intense, they're not well-paid, they've actually been having pay cuts in recent years, and there's a sense of impending disaster when it comes to the economy: the mother of all real estate bubbles has been percolating for decades now. I'm willing to give him the benefit of the doubt. Seems very likely he translated or corrected his writing via LLM.
I'm not saying this post is genuine or not. However I'm curious of your opinion since I see these criticisms very often here...do you believe that if somebody writes their opinion down then improves the wording and composition through an LLM that suddenly what they are expressing becomes magically 100% fraudulent?
How do none of the commenters see this is obviously LLM output. If you believe that this was written by a human, maybe you should rethink why you think Bitcoin is a good investment.
Post is by: OkFarmer3779 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1rtllc5/i_mass_deleted_every_crypto_app_on_my_phone_and/ I was mass subscribed to every exchange app, every signal group, every alert service. My phone was buzzing 24/7 and I was still missing moves or panic selling on noise. So I deleted all of it and spent a few weeks building a self hosted alert system that runs locally on a mini PC. It connects to exchange APIs, filters out the noise using an LLM (not for price prediction, just for deciding what's actually worth my attention), and sends me one clean notification when something matters. First week it was live, I caught a move that made me €47. Not life changing, but it proved the concept: fewer alerts, better timing, no more screen addiction. The whole thing runs on a €6/month setup. No cloud dependency, no subscriptions to signal groups, no trusting some random Telegram bot with my API keys. Biggest lesson: the problem was never "not enough information." It was too much. Filtering noise turned out to be way more valuable than adding more data sources. Anyone else gone the self hosted route for their trading setup? Curious what others are building. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*
> Copy paste this whole chain of comments up to the top and feed it into an LLM and have it hold your hand though the discussion so you get it Been a good read though. Old mate wants to just keep defending his point when you clearly highlighted the sources he failed to properly reference. This is the same kinda person that would like a YouTube playlist and be like "do your own research"
Buddy you’ve just gotta get better at reading comprehension I’m not discussing the content or substance of your discussion (an accelerated timeline of quantum compute impacting current encryption algorithms - which as I’ve told you twice now I personally ten to also be on an aggressive forecast) I’m castigating you over your inability to support a point you claimed serves layers up, when the onus is on you to support and illustrate such a claim Copy paste this whole chain of comments up to the top and feed it into an LLM and have it bold your hand though the discussion so you get it
To be honest, make sure these dudes are actually making money. If you don’t have an EDGE somewhere, you’re going to be the exit liquidity. Info-edge is what I chose (my friend and I built an LLM to parse for incoming news events which historically have affected price moves) and trade perps on that, and we went from being exit liquidity to actually standing a fighting chance. Heck, he’s been on top of things this past week and somehow is up $6800 already (and I’m low key a little salty since I’ve been busy with work, sigh…)
One of the oldest projects in the crypto space finally has an alpha test net. It's a project that has been under development for ten years and in the last couple years they released their computer language with formal verification built in that allows for 100% verifiably correct code for its output. Tau.net is a decentralized development platform and an AI based on logic. It is not an LLM but a different type of AI utilizing advanced Boolean algebra to achieve its goal of an evolving blockchain that is designed by its users. All smart contacts built with Tau will be error free.
mises uses 'Human Action" to essentially define the economy; A more pedantic term might have been "Agent Action" Wealth is proof of value created, not value taken. So don't be scared of the autonomously running LLM that created $2 billion for 'itself', because to get that money in the first place he helped out other agents.
More baseless accusations and assumptions. Also, how exactly is that sarcasm? Do I talk to an LLM?
I don't know... maybe because it dominated, and 2013 was when it experienced a massive breakout with over 12,000% gains and reached a price of $1,000 for the first time? You didn't even have to Google this. We have LLM's now. Also, they shouldn't assume, you know what they say about assumptions.