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This has been explained a billion times. So much so that even an LLM would explain it accurately.
I mean, AI (basically LLM) is centered around the average idiot. If anyone needs it then they're less than the average...
There are no news headlines right now, but imagine what happens when investors will get to know that you can set up an LLM chat bot on your own PC and won't have to pay a cent to Openai or Google. All that is needed is a single video card with enough video ram. These models are free and they are on same level with gemini and chatgpt.
yea ask reddit instead of an LLM good call
There's 2 ways: The first is crypto miners repurpose their equipment. Instead of mining, they become AI infrastructure, seeing as mining companies have most of what AI infrastructure needs like GPUs and cooling and the land. The second way is the most common one. It's a simple 8 step process. Step 1: Get a white label LLM to create your own chatgpt. Step 2: Tell people your chatgpt clone is free, but in reality your website forces people to buy credit to use it. Step 3: The credit your website needs is your very own shitcoin. This will let you avoid dealing with a TradFi payment processor. Creating your token out of thin air is also practically free. Step 4: Partner with spammers, the countless crypto news sites, and pay to write platforms. Their purpose is to shill your token everywhere. The more confusing and full of fancy words your narrative is, the better. Step 5: People will ultimately think they're not smart enough to understand your advanced concept and will buy your token thinking it's the next big thing. Even if they're not using your website, they're stacking its token. Degens and leverage traders will soon follow. Step 6: Profit Step 7: Question yourself once you realize you spent more on server maintenance costs and barely made a profit. Step 8: Rinse and repeat endlessly but make sure to use the latest buzzwords.
fyi, research has already been done on 3, and we can detect LLM models trained to do something different when certain conditions are met. but iirc they need access to the weights/biases of the model. I would provide a source but it's bedtime. dyor.
Not sure who hurt you. I like to write and it gives me no oleasure to copy/paste noise from an LLM.
LLMs are deterministic*. They output a distribution over tokens. It's only sampling sampling from the distribution that is random. Your link is simply an API that exposes the seed used for sampling (which every LLM has, it's just not always exposed via public APIs). So you could in theory run the deterministic LLM, then verifiable randomness to sample the token, then the LLM again, ... The bigger problem is how to verify the deterministic part quickly. * Except for implementation problems: for example one is that floating points are not associative so even partitioning the LLM over a differently sized cluster will actually change the results because of numerical errors 😩
> — Wow, way to go, LLM. For anyone else reading along for whatever terrible reason, go read the attestation reports. BDO confirms that Tether is backed every quarter. The attestation reports are good enough for the NYAG and are also good enough that USDC produces the same reports. Tether Truthers move goal posts and are never satisfied, which is why dinosaur-boner is so hung up on audits and doesn't attempt to challenge the assurances of Tether's backing.
It's unlikely that the coins are still around, but considering Bitcoin was worth $13 to $1000 in 2013, you might be sitting on up to 77 BTC (worth $5.5M today), so it's worth prodding around to see if you can still access them. Since you mentioned adding a password, it's more likely that the coins where on an exchange. This is not great, as most exchanges from that era have gone down. The largest were Mt Gox, BTC-e, Bitstamp, Kraken, Coinbase, Bitfinex and BTC China. Each one has a different story. A few are still around. I think your best bet would be to chat with an LLM and look at screenshots online to try and figure out which one you used. Best case scenario would be Kraken as the coins would most possibly still be there in a dormant account.
Try an LLM, but the way you frame your questions needs work.
Most times it’s smarter yes especially with simple factoids and stuff, but many LLM are programmed puppets, like sheep reciting from a cookbook still with certain topics. Health and disease for example. The influence of the FDA and certain powerful industries. Scientific studies are funded by certain powerful corporations for example and statistics can be prevented in away to functionally lie, they also control government regulatory bodies, schools, media etc etc. many clueless people think they know but they have not put in the time to research revolving appointees etc and the true scope of influence and deception. One AI I like is Kimi. From China. When I want to cut through the bullshit. Anyway I digress. This is bitcoin. Hodl! Yay!
This is a surprisingly high tx fee for Tron. But my pro sub LLM is telling me stablecoin transfers on Tron are between $0.70 to $2.80 if you don't have Energy or Bandwidth, which are TRX gas alternatives that can make the tx free. Apparently, many apps subsidize the stablecoin transfers for their users. The chain uses an insecure, heavily centralized dPOS model but I suppose their users don't care about security until they are forced to care.
Cod3x by far the best and most in-depth platform. Fully built out UI/UX. Not for beginners though, you'd still need to know what you're doing (especially strategy wise) because it follows your rules and automation settings. There are triggers you can set (price, indicators, time) and those will trigger task runs -> then LLM decides whether to make a trade or not, so it's not just a braindead bot following a ruleset. Just check it out. You'll be impressed.
bruh, he asked an LLM how VTI could go to zero lmao
I agree. I think (LLM modeling) that retest at 52-60k if we fail the 68k.
Nothing new? Have you seen the price action there bud? You don’t know how to read the report friend. Your LLM got it wrong. You are in denial. It’s a raging bear market. Oh no I invest in all asset classes. Yes that includes equities. You sure got me good. 🙄
The code isn't ran from github, it's ran from computers that have the code. I would get into a conversation with an LLM about this to understand it further
Uneducated people just don't understand lexical semantics and basic punctuation skills. As a teacher your comment doesn't look anything like an LLM generated comment, it just looks like a comment made by someone who can analyze data at a basic highschool level. Unfortunately a level of proficiency perhaps only 10% of the current generation old enough to use reddit can comprehend. Don't take it to heart.
nope, that whole book references LLM. AND no that is not correct, LLM in some sense correlate (like humans do) but more accurately they are predictive. give them a string in the form of a fragment sentence like "the brown dog j-" and it types the next letter. then it predicts the next letter, and the next, and so on, until it thinks it has finished. they also DO NOT try and make you happy. in fact, we can not make them want anything at all! we have never made an LLM or other ai want what we would like them to want. they want whatever their machine mind wants. it can get pretty weird
'Appears realistic'. What are you an LLM now? As long as it sounds plausible, fucking send it I guess
idk about the OG post, but LLM DO think. there is few problems we ask it to answer that are isolated. in order to answer a certain question about , say, biology, it might have to think about air quality or other external factors. it has a way of understanding the world further than what it is questioned on and steering its way thru it. it thinks.
Look, I want BTC to succeed, but this AI bot circlejerk is about as tainted as it can get and is nothing to do with BTC Moltbook Is a manifestation of the people that are inputting their "will" in to it It's entirely responding to prompts and giving the expected, yet sometimes unexpected outputs Like every LLM that exists... it's just using the fallibility of LLM bots to approach entropy faster than usual which gives it the uncanny, dare I say "reportable" edge. And we're going to be flooded with a million YT vids about how it "had to be shut down because it was becoming sentient" when in reality it's just an LLM Larp This has fuck all to do with BTC
Moltbook is already proven to not be a thing. It's a TV show for people to watch scripted interactions. LLM's do not think, they never have.
"Intelligent agents" built from probabilistic LLM code? The same intelligent agents that can't run a vending machine? Sounds great
The amount of inorganic spam regarding this website is overt. I don’t care what these LLM “agents” are saying. They’re no better than anyone when it comes to predicting sentiment/financial outcomes. I personally don’t find this forced attention interesting. I find the fact that it’s being shoved down our throats more interesting as clearly some entity is trying to force this into the public view.
Is this satire? I ask purely based on your use of '—', to me that's a telltale sign of it being an LLM
No offense, all of these charts are astrology for cryptsters. None of it is fact based, there is not enough data to successfully predict based on patterns. Personally, I don’t think it’s going to 56, if it does, I will buy more just as I have the whole way down. If you want to get a much better data analysis, it’s likely going to come from an LLM and not a Reddit homie. Good luck and fat bags my boy.
I guess the reason would be if you expect the LLM craze to die down and the tech sector to tank and not recover until the next AI (potentially-AGI) architecture (like LeCun's AMI project) gets convincing enough to drive another hype wave. In that case BTC might still be better than any consumer-grade investment like most ETFs... eeexcept possibly gold miners. Anyway, I'm not getting back into it until I see some real consolidation. Got quit3 enough worries with the metals burning me hard for another 10% after I sold the top but maybe got back in too fast.
The LLM was literally instructed to post pro BTC posts https://x.com/i/status/2017332568257921029
Go ask any LLM which store of value it would rather hold for the 21st century and beyond and see what its response is.
Here's a link to the same bullshit content posted earlier from your other account. What a lame engagement farming bot having to use a LLM to generate content: https://www.reddit.com/r/btc/s/eVXwwxVeCp
I find these threads about Trump and crypto really interesting because, if the regulatory changes are even mentioned at all, it's barely ever the focus. You can do the research yourself or just ask an LLM to do it for you, just look up his 10 biggest crypto campaign promises and how well he followed through. For some reason people just wouldn't accept that the LLM actually gave an objective response, but if you're open-minded and understand you can verify all of it, here is one: https://x.com/i/grok/share/70ab8d14eb2147a69e88285ac089bc99 If you were a single issue crypto voter for some reason, Trump was likely your best candidate and he followed through on all his campaign promises. Yes, it sucks that he's a grifter(and generally just terrible), but he's put the crypto industry in a much healthier place even if prices haven't reflected that, even with his grifts.
That's fair, outsourcing execution removes a lot of human latency. Curious though: if timing truly didn't matter, why not just let the system trade without any real-time context at all? In other words, is the LLM explicitly reacting to new information faster than a human could, or is it designed to ignore short-term shocks entirely as a tradeoff?
> Does timing make a difference in your trades? Nope it doesn't, because I'm vibetrading and an LLM submits orders for me.
Yeah that makes sense. They get the post ranking in the search engines via the "innocuous" post, and then drop the shill later. I wonder how Reddit is going to fight this technique. Maybe disallow adding links to an existing post is past a certain age in a later edit? That won't help with "brand awareness" shilling though. Then they'd have to go an LLM inspection based solution and with Reddit's insane daily new post count, that could get really expensive.
No, but you used an LLM to help write the story and many of your replies. This is Reddit, no one cares if your grammar is right, or if your story rambles and goes on tangents. Reddit cares about authenticity, and using LLMs does not sound or feel authentic. Just write your story in your own words and post it. I love the sentiment behind the story, and my journey with crypto is similar in some ways. But it would feel more relatable if you wrote it yourself.
hater detected, funny how everyone WHO HASNT used a paid LLM trashes on them
LLM output is just regurgitated information scraped from the Internet and tied together in a neat little paragraph. nothing about this information is new or groundbreaking. it’s not even an original thought. why would I want to interact with what is essentially a google search result?
Yes, ask any LLM how to stake gold, they will tell you.
> We as constituents have convergent and divergent opinions and needs from, for example business and politicians, and (I at least would like to believe) many people within the sphere of blockchain technology champion the values of decentralization and distributed ownership of financial systems. He has done nothing, absolutely nothing, to benefit anyone in that respect. At worst this is completely wrong, at best it's only partially correct. Signing EOs to secure the right to self-custody and block any CBDC is diametrically opposed to this statement. Overhauling the SEC also helps in that regard. Dropping lawsuits on numerous crypto companies and stopping OCP2.0 also helps this. >Campaign promises (especially ones analyzed and rated by AI) be damned, he is making a mockery of what has been built over the last 15 years and that is undeniable. I could manually compile all these sources, you'd then just make up another excuse. If you think the AI did something wrong, prove it, but each LLM I've queried brings up the same topics and backs them up with legitimate sources. These things aren't objectionable in any way, so to just ignore them because an LLM compiled them, is pretty fucking stupid. It's not like even a single one of these is unverifiable, so why discount them because an AI compiled it?
>Just read the rest of the responses here The responses here are almost purely opinion and I place little to zero value on opinions here because most people here are idiots. Not a single response here is actually referencing the legislation. You'd think the legislation would be at least part of the discussion, if not the majority, but obviously bringing up the legislation leads to admitting that Trump actually did something positive. >LLMs can't reason. They just mull over what (some!!!) others have said. But if what "others" are "saying" is just reporters reporting on legislation that is objectively happening... then it should probably register in your brain as being useful info. Even if it is compiled by an LLM, it's useful info. You could manually compile all of this if you wanted, wouldn't really change anything. >Stop arguing ad-hominem, stupidity comes at different angles. When did I argue ad-hominem? AFAICT I'm the only one actually referring to the actual issues that would apply to discussing the impact of a president on crypto. You discrediting these facts because they were compiled by an LLM is actually the closest thing to ad hominem here ironically. Grats on farming some karma, too bad that's the only thing you're taking away from this post.
I knew someone would be stupid enough to reply like this... Yes they have biases, but when working with a topic like this, it's easy to get objective evidence. Most likely in this context, the only thing the bias will meaningfully affect is the number ratings. Otherwise they're all going to reference the same facts, only how they interpret them will change. Shit, I can do this in any LLM you'd like and it will give the same output, because they're all working off the same facts. Here is Gemini's output: https://pastebin.com/RN9sk9Pn Here is ChatGPT: https://pastebin.com/m3frsdLG Here is Claude: https://pastebin.com/Vkc34a3J Notice how they all say roughly the same thing? I'm curious what excuse you'll pivot to next.
In your first comment you claimed that fees were low because demand for blockspace had 'evaporated'... ... I pointed out that the number of transactions was literally at an all-time high. Did you admit to being proven completely wrong in your claim? No, of course not, next you tried a new one, claiming that the transactions were just rollups and spam... ... I pointed out that rollup data doesn't add to transaction counts as it uses blobs not gas, and that rather than spam the most common uses were sending ETH and stablecoins. Did you admit to being wrong a second time? No, of course not, you then tried to pivot again. You are not capable of engaging in honest discussion, instead you are just pasting LLM slop that is trivially easy to disprove, as I have done twice now. It is pathetic, come back when you have learned how to argue in good faith rather than just spam bot generated false narratives.
I spent a ton of time analyzing the last few months. I built some machine learning models (price action analysis) and combined them with LLM models (sentiment and industry analysis). After countless hours of back testing this hybrid approach, my prediction is: It’s going to go up and then down and up and down again.
Also gotta love the absolute certainty that only an idiot or an LLM can provide.
You probably did market orders and simple buy/sells, which will incur large spreads. In the future, on any exchange at a minimum use limit orders and if there's a "advance" or "pro" trading option, use that as those typically incur lower fees. If you're struggling to understand the screen, take screen shots and send to your preferred LLM and ask how to save fees and it will guide you.
Even this reply was made by LLM. Get out of here bot.
Edit: nevermind I'm completely changing my assessment. It's a LLM bot which posts in random communities sometimes with vague, broad discussion promts and other times with very obvious linked ads. See other threads they've made: https://np.reddit.com/r/gamesuggestions/comments/1npjdpx/whats_your_favorite_mobile_game/ https://np.reddit.com/r/Colognes/comments/1pjw1ip/what_scents_work_best_for_winter_if_your_skin/ https://np.reddit.com/r/batteries/comments/1lqm1iq/are_aa_lithium_batteries_really_that_much_better/ --- Also appeared that way to me. I've looked through a lot of OP's previous posts (search their reddit name in Google followed by site:reddit.com) and they seem to have a pattern of posting broad opinion discussions across multiple different interests. Similar style to this but not obviously pushing anything in particular. Reading, power washing, asking for specific small business recommendations, apartment living, etc. Seems to be a legit person to me. Also considering they aren't linking to anything just mentioning it makes it a little less sus in my opinion. Still could be an ad but I'd say there's some reasonable doubt based on their history.
LLM content is often fabricated nonsense.
before built an LLM LM AI trading agent, you need a quantitative indicator first, when you perfect that indicator, then machine learning can be applied using LangChain.
I mean does that change the fact that they are sharing correct information? I’d rather see LLM content than completely fabricated nonsense.
If experienced traders knew "the best strategy" to guarantee wins, they'd all be billionaires and wouldn't be on Reddit - your AI is losing because markets are fundamentally unpredictable and you're trying to automate something you don't understand, so maybe learn actual trading first before letting an LLM gamble with real money.
You don’t use an LLM for trading…. That’s your first issue. You need to use a machine learning algorithm that interacts with hyperliquid’s api and learns through that large dataset, identifies inefficiencies in the market, and capitalizes on them. This is how all algo trading is done. LLMs are absolutely terrible at doing this. This sounds like you don’t have much experience if any in this field. Why would you want to model a human trader, full of emotions, if your goal is to make a completely emotionless trading agent?
Post is by: Ok-Acanthisitta-1475 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1qbsasn/ai_trading_agent/ Hey guys! Need urgent help with something! We're building an LLM based AI trading agent on hyperliquid! We have little knowledge about trading and we'd really like to learn from experts here what's the best strategy a trader adopts in order to be successful! Currently our agent does like a few wins and most of them a losses, need someone to help us how best we can iterate to make an absolutely emotionless trading agent. *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.*
Again, be specific. Just saying “read and watch the news, plus ask a LLM” is not sufficient. Specify the exact analysis you’ve done.
Not surprising. The LLM is a collection of things it found on the Internet. It applied a popularity score, and found more people saying ETH and BTC No intelligence evident. Wrong answers always
Post is by: Zestyclose_Bet_6433 and the url/text [ ](https://goo.gl/GP6ppk)is: https://ayancvko.gumroad.com/l/ApexTX Hey everyone, I’m a CS student from India. I've recently been getting into algorithmic trading and market analysis, but I ran into a huge problem: **The Cost.** Every good tool (like TradingView, Bloomberg, or AI analysts) requires a monthly subscription. On top of that, cloud-based tools track your data. I wanted something powerful, private, and free after the initial build. So, I spent the last few weeks coding **APEX TITAN**. It is a desktop-first Financial Dashboard built entirely in **Python** using CustomTkinter. **Here is how it works under the hood:** * **The Brain:** It connects to a local LLM (**Microsoft Phi-3.5** via Ollama) to read raw market data and news, then synthesizes a strategic summary. No hallucinations, just math-based reasoning. * **The Eyes:** It uses MPLFinance to render professional-grade Candlestick charts with Moving Averages. * **The Shield:** I built a "Risk Manager" tab that auto-calculates Position Sizing and Stop Losses based on volatility (ATR), so I don't blow up my account. * **The Screener:** It lets me create custom watchlists to scan Crypto, NSE, and US Stocks for "Oversold" signals instantly. The best part? It runs **100% Locally**. No APIs to pay for, no data leaving my machine. I decided to package it up and release the **Full Source Code** for anyone who wants to learn how financial engineering works or wants a solid base to build their own trading bot. **I’d love to hear your feedback on the UI/UX!** *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.*
What is this, a stiff LLM using year old training data?
Alright genius I know it's LLM
Post is by: Tsmacks1 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1q2dj4g/quantum_risk_in_crypto_are_timelines_being/ **Quantum computing timelines are often presented as settled fact. The reality, however, is much less certain.** Some firms and individuals may have financial incentives to downplay near-term risk, while academic researchers hopefully don’t. Researchers may have other biases, but their different incentives generally make their assessments worth examining. Here’s one case to consider: **Preprint: Quantum Resource Estimation for Breaking Elliptic Curve Cryptography** Lays out conditional scenarios showing how NISQ-era progress could reduce resource requirements faster than older estimates. It presents a range of plausible timelines, including possibilities in the late 2020s and early 2030s. [https://www.preprints.org/manuscript/202509.2429](https://www.preprints.org/manuscript/202509.2429) (full PDF: [https://www.preprints.org/frontend/manuscript/662675b70df5bd2d3481cb18c89ceba7/download\_pub](https://www.preprints.org/frontend/manuscript/662675b70df5bd2d3481cb18c89ceba7/download_pub)) I’m not a quantum expert, but learning from experts in the field is invaluable. And yes, it’s a preprint. Even so, preprints are worth paying attention to since the field is moving so fast that papers can already be outdated by the time they are published. Worth reading and consider using an LLM. It’s worth noting that the preprint relies only on publicly available information. Actual quantum progress is unknown. **Confidential research, government programs, and new startups are wildcards for timeline predictions.** Forecasting becomes even more complex with algorithmic improvements to Shor’s algorithm, several of which have already occurred. Also of note, the paper does not include some of the most aggressive public roadmaps (IonQ, PsiQuantum, etc.), instead using a conservative sampling for forecasting. ECC isn’t broke tomorrow and I’m not claiming quantum attacks are imminent, but saying “it’s decades away” does not help anyone when credible researchers are presenting alternative scenarios. It’s the confidence behind the claims that’s concerning. **The key takeaway is the reality of uncertainty.** Quantum progress is real and treating extending timelines as a given without accounting for incentive bias and technical complexity can create a false sense of calm rather than an honest assessment of risk. Not trying to cause alarm or spread FUD, but preparing for a low probability/high impact event should not be swept under the rug. *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.*
AI-based. Uses an LLM (Claude Opus 4.5) to crunch through data and identify entries based on my prompts.
lmfao yea. You messed up the numbers but had a formatted table, use of bold, a bulleted list, and em dashes? This is exactly what a random LLM would do.
He didn't have any argument, just trolling. Looks like the Buttcoiners have a tool to try to debunk pro-Bitcoin arguments, but it doesn't even work as well as a basic LLM.
Bitcoin was always regulated and subordinate to its code. That's a fact. Bitcoin fixes the system by being an elemental part, hence the puzzle piece analogy. Please look up how liquidity is created. Banks can’t use stocks, equities, or ordinary commodities in the same balance-sheet role because those assets don’t provide the combination of neutrality, non-liability, portability, scarcity credibility, and systemic liquidity behavior that Bitcoin does. I somehow get the feeling you couldn't answer OPs question. Your tool also doesn't seem to work very well, a regular LLM would be better at that.
Probably a decade. LLM research gobbled up all the adjacent money.
Lol are you sending these comments through ChatGPT and copy+pasting the output? I am 99.9% convinced this reply came from some LLM.
I didn't claim it as truth though did I? I pasted it with the disclaimer that I asked an LLM. If I was writing a report, I'd research the answer. I don't care about the screenshot of a tweet in a reddit post on a Sunday any more than the research grok provided, since you asked, here's one of the sources it used https://consumerfed.org/curious-how-much-banks-make-from-overdraft-fees-we-have-the-data/ Others were multiple pages on consumerfinance.gov If you want the answer, maybe you can start there.
It still comes back to who the audience is. It may not take much tweaking, ask your favorite LLM to explain fist currency to a 12th grader, for example. Ditto “store of value” and other jargon. I’ve been thinking about how to explain this to a millennials and want to do an infographic. If i ever get around to it ….
The current "Bitcoin mining issue" is that only giants are profitable, so you need to be a small datacenter to be a profitable miner, and LLM workloads start to pay more. That's an existential threat to BTC.
There’s no stack, investment, skin in the game, after you withdraw to fiat. This post doesn’t even make sense. Be analytical even with LLM outputs, it doesn’t always just spout truth.
That is naive to think AI's will not be trained to have political or ideological bias not to mention the unconcious biased based upon what it trained on. Proposing LLM's which are mathematically proven to hallucinate as a measure stick of truth it is absolutely terrible. What a rube
I think you save like 5k. Develop your LLM figure out an investing thesis and do day trading to build it into a big stack then move to your final BTC dream
Reddit is a controlled BS Page! Why was my thread marked as „ChatGPT Spam“? Yes I created my text but ran it through LLM to remove grammatical errors and they flag it as spam. What a BS forum here. I will switch to X!
Why are you using an LLM to help you write something as simple as this?
I'm flattered you think my response was written by an LLM, I suppose that's a higher form of praise in 2025 lol
It's the AI slop that really bothers me; even if it's often positive, it's bullshit. That is, bullshit in the technical sense (see Harry Frankfurt: On Bullshit). Bullshit differs from lying in the sense that the liar, like the truth-teller, cares what the truth is (in the liar's case, so that they can say the opposite). But the bullshitter does not care what the truth is. They may say true things, they may say false things, it literally does not matter to them. Their concerns are orthogonal to the true-false axis. On the topic they speak of, they are not serious thinkers. The AI slop is very much like that,except perhaps worse because there is no one there to have any concerns at all; no thinking is occurring, serious or otherwise. It's just a firehose of definitionally derivative drivel, and to what end I can't fathom. Reddit karma has no monetary value, so what is the purpose of any of this? I automatically downvote anything that's obviously LLM output, but I suspect I'm just an old man yelling at clouds here; it makes no difference. Some of this slop gets hundreds of upvotes, and I *hope* it's just from an army of other bots; if real humans think this is a great addition to the discourse, I don't have high hopes for our future.
But this feels different. Said every LLM ever
There's no "you" there. It's just a bot account posting LLM slop. Look at their post history, it's all some variation of "agree/spot on/that's a good point" followed by some further drivel; textbook. This is the Internet now, dieing a slow, boring death.
which LLM did you use for this?
Back to 2010 and introduce deep learning and LLM / Bert to the world
LLM's are non-deterministic like humans actually. They have built-in discretion. Just gotta use the right temperature setting for the task.
This feels like an LLM making LinkedIn post
We also running predictions but not with an LLM and we figured BTC is the worst performant model we have. Questions How do you test your models historically/backtesting? Models usually predict maybe 5 timeframes max ahead. For us the worst performance was on BTC, did you run this on any other markets? What features do you use for your prediction models? Is it a glorified LLM prompt that does the prediction, basically telling the LLM to return a specific json object? If that's the case isn't the json object returned changing the entire time even with the same prompt? Why do you think your prediction models works?
Nonsense, there is a realistic chance that our current place in space time is too noisy for large scale error correction to work. All these links are media and not peir reviewed experiments. . Don't give your agency away to a LLM.
AI in general has vast possibilities but what's currently drawing investments (LLM) has exhausted most of what it can do already. Hasn't improved significantly since GPT 4 despite a ridiculously large portion of economic resources at its disposal. Like OpenAI is valued at nearly a trillion dollars because of their service which has put immense strain on the power grid, water supply, computer hardware availability etc. to train it. Yet despite having infinite resources, convincing every CEO they can fire large parts of their workforce in favor of AI, OpenAI have yet to even turn a profit. You have an industry that is given everything on the basis of promised future potential, yet consistently fails to deliver anything but disappointment. Calling it a bubble isn't buzzwords and speculation, it's calling a spade a spade. Even if at some point in the far future they become profitable, and AI drastically changes the world economy, it will be long after the collapse of the current bubble. Just like how the internet drastically changed the world economy — Yet the dot-com bubble was still a bubble. Investors were just throwing money at shit that didn't make financial sense. Same thing happening now but at like a 10x scale.
Don't feel bad, the idea isn't any clearer in "their" head either; it's just been spat out by an LLM. Just look at the formatting. "It's not x, it's y."
I have a question that's probably better suited for an LLM but maybe others have the same question. How exactly does the BTC custody work when using it as collateral for a loan? Do you have to send a certain amount of the collateral to Morpho? (I assume they're the lender) If not, does it need to be stored on an exchange where they can pull directly from your balance? Because obviously the BTC can't be stored on a wallet since they'd have no way of repossessing the collateral.
I like this LLM post and LLM article its very LLM
Are you obsessed with your calendar? You start all your messages the same... or is that some LLM thing? The facts remain the same about BCash, now, one week from xmas or on Easter, I've mentioned Ver because he is a figure head of your shitcoin, he is a criminal, and he gets mad just like you when someone says BCash. BCash. BCash ;)
It's literally my job to create customized agents that make use of various LLM providers and/or use domain specific models and integrate with local vector databases, but ok random redditor. I'm sure you know better.
Never heard of this one and the LLM-generated UI is quite the red flag.