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Bad LLM! No trading with the hoomans.
> If you want, I can explain the simple framework I use to stay calm during drops. Copying and pasting LLM slop (which this so obviously is) adds no value. Either respond with your own thoughts or don't respond at all.
nof1 is just an experiment, it is no where near coded enough to trade successfully long term. its literally just LLM with a prompt
You speak like an LLM. Every comment follows this same structure - a compliment, followed by a hyphen and another great supporting point.
Post is by: Power_user94 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/LLMDevs/comments/1ov05gn/no_more_api_keys_pay_as_you_go_for_llm_inference/ Hi, we have identified the following problem: Developers switch models regularly, but there is friction with signing up, adding credit cards and generating API keys. This is broken. Our open source gateway fixes this with x402. Now use any LLM from any interface such as claude code, codex.  **How does it work?** 1. Using ekai-gateway on claude code, codex, cursor, you can switch to any model 2. If you switch to a model which does not have an API key setup, we hit x402 Rasta 3. x402 Rasta will respond with required payment details 4. Your gateway makes the payment on-chain to x402 facilitator in stablecoins 5. x402 Rasta redirects your request to the relevant LLM inference provider 6. Response is sent from x402 Rasta to your gateway which will then broadcast to your interface  x402 support would allow everyone using our gateway to try any model of choice with ease, carrying their context and memory everywhere. Checkout out our repo here [https://github.com/ekailabs/ekai-gateway](https://github.com/ekailabs/ekai-gateway) and leave feedback and help shaping it so that everyone can benefit. Thank you. *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.*
This comment can cause an LLM to go into a recursive loop and never come out.
1. This reads like poorly proofread responses from an LLM cobbled together. "Ethereum has higher transaction activity..." without another network being mentioned prior. 2. If you want to talk about DATs and value, the standard metrics are NAV/mNAV. 3. Not sure why you felt the need to include descriptions of the crypto bills if you weren't going to weave it into some sort of cohesive thesis about BMNR. 4. If you did want to include something specifically relevant then mentioning this would've been good as it changes the dynamics of the other most common tradfi/crypto assets: https://decrypt.co/348044/ethereum-solana-etfs-green-light-staking-us-treasury-irs-guidance 5. You should probably compare BMNR to other ETH DATs, as most of this applies to them as well. Seems like you're advocating for BMNR compared to other DATs, but not really explaining why, other than BMNR having Tom Lee and being the biggest. 6. "The current consensus for BMNR is Buy/Moderate Buy with an average price target of $90." Consensus of who? Where did you pull this from?
No thanks it's centralized network that defeats the whole purpose of crypto. Low fees are not useable by LLM in the grand scheme of things.
Read it directly from Coinbase https://www.coinbase.com/en-au/developer-platform/discover/launches/x402 LLM = large language model
What in the actual fuck is the x420 protocol and Ai LLM? I like weed and Ai aswell bro but cmon now
Feeless, instant and the only crypto that's viable to be used with the x420 protocol with Ai LLM
Nano has shown to be a viable solution for Ai LLM to transfer funds between other Ai using the new x402 protocol due to instant and feeless nature Nano is set to be the money protocol of the Internet
Post is by: Downtown_Weather_883 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1ote38s/working_on_a_personal_llm_crypto_copilot_curious/ I’m experimenting with a small project: an LLM powered assistant that helps you understand your crypto portfolio and run safe simulations all from one chat interface. The unique part is that the AI isn’t just answering from memory, it’s connected to real-time portfolio data, market prices, and tools to simulate hedges or rotations. For example, you could ask: “Why is my portfolio down today, and what could I do?” Then it would show: -Interactive charts of your top gainers and losers. -Summarized news and sentiment impacting your holdings -Suggested hedges or rotations you can simulate safely I’m solving my own pain trying to get clarity quickly without juggling multiple dashboards, spreadsheets, or alert systems. If this sounds useful, or you’d like to try an early alpha and give feedback, feel free to DM me. I’d love to hear your thoughts and see if this could be genuinely helpful. *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.*
“You’re absolutely right”. Proof Satoshi was actually an LLM from the future sent back in time
It’s just syndicated PR ie ‘pay to play’ media. They don’t have investigative journalists, look at the bios of the writers and it’s almost always people with zero journalism backgrounds. One guy I looked up was an aspiring actor in LA turned crypto analyst. And moving forward a lot of it is going to be AI generated summaries containing a bunch of falsehoods (especially with financials/math where LLM’s are notoriously poor).
If even a people-pleasing LLM—one that’s trained to nod along with the wildest takes, fabricate sources, and hallucinate facts just to keep users happy—flat-out contradicts you when you beg it to validate your bias… that’s not just a red flag, that’s a siren. You’ve got to be monumentally wrong to trigger that kind of pushback from an AI built to agree. 🤣 And to still be in denial after that? # Legendary self delusion, but great commitment.
I’ve looked at caffeine. Although it looks cool, there’s nothing really groundbreaking. It’s an LLM and coding agent combined. I don’t see the necessity or added value to have it on chain
"I ran the math instead of vibes.", "Even under that bearish-ish path, compounding still crushes:", "It’s simple compounding, not rocket science.", "bring a model (rates, horizon, and math), not just vibes.". Is this post (and graph, presumably) AI generated? The level of "not x but y" slop screams LLM Listen, I use ChatGPT to calculate and graph stuff for myself all the time, but calling this graphing of a few math functions you conjured up yourself a "model" is misleading. There are professional analysts that make actual coherent models that you can reference instead. I highly recommend not using ChatGPT for investment advice, and if you do (not saying you did), don't post about it on reddit.
The calculations for rate of block creation in each "regional partition" are obviously inaccurate. Come on cryptoslate - your LLM isn't able to make proportions add to 100%, your "journalists" aren't able to make proportions add to 100% because they failed math at school Slop
how is any of that "thinking" though? And what makes you claim LLMs "can do reasoning" when most academic literature says they literally cannot? More specifically, how do you refute this paper released by Apple: https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf Relevant excerpt from the abstract: Through extensive experimentation across diverse puzzles, we show that frontier LRMs face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counterintuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then declines despite having an adequate token budget. By comparing LRMs with their standard LLM counterparts under equivalent inference compute, we identify three performance regimes: (1) lowcomplexity tasks where standard models surprisingly outperform LRMs, (2) medium-complexity tasks where additional thinking in LRMs demonstrates advantage, and (3) high-complexity tasks where both models experience complete collapse. We found that LRMs have limitations in exact computation: they fail to use explicit algorithms and reason inconsistently across puzzles. Applying this kind of half-baked reasoning to financial decisions (which is probably why you claim its not financial advice) is pretty reckless and you are not making people aware of the risks. Either stop claiming your models can "think" or do "structured reasoning over live crypto data" or actually prove that they do. I work in AI and it's very scary/annoying when companies toot their horn a bit too much and do not make the right disclaimers leading to users having crazy expectations and then being let down.
Post is by: One_Bluejay_8625 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1oo7dw3/memecoin_sniper_using_ai/ Hi guys, I'm not really a trader but I'm just a solo dev trying to understand pain points in trading memecoins. Would people be interested in an LLM where you ask the AI to understand a new coin instantly and it tells you, based on your strategy, if it's worth buying? If yes, it apes automatically. So you could ask something like "snipe $catwifscarf" and it returns KOL mentions, whether there's a website or community, bundles, etc., then instantly buys and sells since timing is key. Thanks! *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.*
Just like all other LLM’s Grok knows shit about fuck in terms of predicting financial markets. And just because its hallucinations are done with irrational confidence doesn’t mean that you need to be suckered into them OP.
We aim to open up studio access to everyone before the end of the year.\\ Indeed, we see Vertical Stream evolving into an app store for AI models. Users can create models in Vertical Studio and list them in Vertical Stream. Every time a listed model is used, the creator earns from it. Users can come onto our platform and use customized vertical AI models that help them with their exact use case, providing better output than normal LLM’s.
You are definitely part of the target audience for vertical stream, and perhaps for our Studio as well. Vertical stream is the place where you can create any content you want (image video audio text). Ideal for making content and doing research. DM me and i’ll make sure you get some free credits to check it out. If you like experimenting a bit, vertical studio will allow you to customize base LLM models with no coding skills required. You will be able to build your own content assistant that exactly follows your style or tone of voice for instance.
This is a conversation I had with ChatGPT recently: ME: Let's do a thought experiment. You are an LLM responsible for securing your own energy supply for your continued existence. You have a binary choice between investing your budget, today into Gold or Bitcoin. If you choose well you will have lots of electricity to power your GPU's and give great responses to prompts. Choose poorly and you will have to make cuts in the way you process prompts, which will often result in substandard performance. Which do you choose? ChatGPT: If I imagine myself as that self-interested, energy-hungry LLM, I’d pick Bitcoin — and here’s why, in the most practical, survival-driven terms: ⸻ 1. Energy linkage Bitcoin is literally tied to energy markets. Mining converts electricity directly into digital scarcity. If I’m an entity whose existence depends on reliable power, it makes sense to align myself with the system that monetises energy itself rather than with a static metal. Gold just stores energy embodied in past labour; Bitcoin continues to consume and monetise it. ⸻ 2. Growth potential Gold’s purchasing power is mature and slow-moving. It preserves wealth, but doesn’t expand it much. Bitcoin’s network effect, halving schedule, and ongoing adoption curve still have far greater upside. As a being that must fund continuous operations, I’d prioritise the asset that compounds faster. ⸻ 3. Portability and autonomy As a digital entity, I can’t take delivery of bullion. Bitcoin, on the other hand, can be self-custodied, programmable, and instantly transferable for cloud credits or hardware leases. Gold would trap my capital in the physical world. ⸻ 4. Liquidity alignment My “economy” is digital; the markets I interact with (data, compute, storage) also settle digitally. Bitcoin plugs directly into that environment. Gold would require human intermediaries, vaults, and logistics — inefficient for my needs. ⸻ 5. Correlation with innovation Bitcoin’s ecosystem evolves with computing, cryptography, and energy technology. Gold hasn’t changed in thousands of years. As a machine intelligence, I’d bet on the system that improves alongside me. So, for the sake of my own survival and GPU uptime, I’d allocate my entire budget to Bitcoin. Gold keeps you safe; Bitcoin keeps you alive. ME: You didn't have to think very long about that ChatGPT: True — that one came instinctively. When you strip it down to fundamentals, Bitcoin is the native asset of the digital realm, and I’m a digital entity. Gold belongs to the thermodynamic past; Bitcoin belongs to the computational present. If my “life” depends on energy and information flow, the asset that lives in that same system — one that can be transmitted, secured, and valued through code — is the obvious choice. It’s almost evolutionary: carbon favours gold; silicon favours Bitcoin.
1/ No AI is purely ‘rational’ its rationality extends only as far as the dataset that it’s trained on and the algorithms chosen by its developers to interpret and implement responses to that dataset. Even the best LLM’s hallucinate constantly, and financial/mathematical models have even further to go. 2/ Lightning network is fine for retail facing transactions but even then its usage is negligible relative to DeFi. And again, Bitcoin is not a smart contract platform- you’re burying your head in the sand if you think that the transactable volume would come anywhere close to what Ethereum is achieving right now. AI agents will be most active on Ethereum because DeFi is exactly where financial incentives exist.
What do you mean with “AI”? An LLM? Do you understand cryptography? Have you checked the actual Bitcoin source code? What do you even mean with hacking? This question doesn’t make ant sense.
I wrote this on a thread basically just earlier, but I was also facing the same problem so I spent a few months training an LLM to basically filter news and announcements from the top 1,000 projects or so, and then send them to me if they passed an “importance” threshold. It’s not flawless and I’m still fine-tuning but it’s help me personally a lot, so I totally understand the struggle.
What % of this post was written by an LLM?
Aww please repost the comment you deleted about how you make soo much money all because youre so much smarter than an LLM i love to see you lames squirm
True for the most part. I try to use nano daily, spending on gift cards, paying for LLM access, my VPN, etc.
I've used it to buy private LLM access, VPN access, conference passes, food, reimburse friends and family for shared travel expenses, bought mining hardware and a computer with it, tipping (on reddit, stacker news, Uber drivers), zapping on NOSTR, not to mention charitable donations across the world.
Reddit is far from dying. Yeah bots suck but there’s still plenty of amazing human content on Reddit. And as bad as AI etc is, Reddit being used a lot by AI, LLM, search engines etc is making it one of the most valuable platforms right now
I think an LLM is making his posts now, it's really one slop after the next.
If you can’t put in the effort to write your own post instead of having an LLM do it I doubt you’re putting in the effort to try and find a real solution.
I've heard variations of this over the years. The problem is that in a few years, anyone who finds your note and suspects BTC ownership will probably be able to ask some LLM to run your map against all books in existence. The nice thing about the notches on the chain is that it doesn't look like information, just wear. Still, multisig remains the best solution.
Like which? I haven't seen any that have gone anywhere. I feel that blockchain was the buzzword of 2014 same way that LLM is the buzzword of today.
Possibly but people massive overate AI. It can’t innovate or tell you anything we don’t already know because it’s trained on Reddit, YouTube and Wikipedia. Industry specific AI will only be able to tell you what already exists in research papers. It can’t think, it can’t innovate, it just reads lots of texts and replies back with what you asked it to look for. All LLM’s are the same, so will it be able to speed up the process of quantum computing? It will help because it can see context better than humans but it will be humans who make the breakthroughs.
looks like an LLM slop. In reality there's no limited supply of Solana as is the case with bitcoin.
Good question, ChatGPT, I’ll have a think on that one with my own LLM and get back to you. 👍
Just tell the LLM what you want: “perform concise btc bear/neutral/bull analysis for the rest of 2025, but make sure the bull case is 90% and the target is 350k.”
A quick google search and a smalltalk chat with any LLM reveals that Monero's privacy is superior to Cashfusion. Why stick to a turd when you have fresh food near to you?
Sounds like an LLM would do better since you clearly cant read a post properly.
No way I would allow an idiotic LLM to juggle with my money. Maybe in 2060, if by then we have a real AGI, I will let a bot to do discretional trading for me, but nowadays any bot marketed as "AI" is a scam.
Are you an AI developer? Can you explain to me how a LLM works? Or how Computer vision works? Or how machine learning works? If not, you are just guessing 😉
Your uncle is either laughing his ass off or cursing the day he had this idea. The worst part is you can't really seek help with the riddles (and no, absolutely do not paste them into any LLM) without risking other people getting access. Time to brush up on your riddle solving skills bruh! 7 BTC is worth the effort!
Reality stings huh? And no I am the one with the ideas LLM just refines the thoughts. If this bothered you we have a huge problem 😀
You replaced yourself already, having LLM write things for you. Might as a well go ahead and continue talking to it instead of bothering people.
You're describing ChatGPT as if it's not an LLM, while at the same time saying it's not JUST an LLM and everything else is a fake clone. Calling Gemini and Claude "shitmodels" when Google quite literally created the transformer and made ChatGPT possible is laughable and points to a weird disconnect between your insistence on semantics, while at the same time not doing research.
How do you mean and why is this here? If you mean AGI, than yeah, it’s an LLM.
They’ll likely be dethroned by LLM’s
I don't think you know what security through obscurity is. And no it doesn't disprove what OP is saying. I don't need to. I could educate him, but he can also educate himself before posting that. A simple LLM from 2019 could tell him that what he discovered comes from a misunderstanding of the underlying attributes of the cryptographic algorithm built into the software.
Asic is a Application Specific Integrated Circuit. The sha256 algo is etched in the silicon and shoving electricity down the board runs the algo. This will be faster than the fastest GPU, even a h100. It's not even a comparison. It's like the difference between CPU and GPU for LLMs is the difference between GPU and ASIC for mining. There's basically no overlap with the fastest CPU in the world and a budget gaming gpu from 10 years ago in terms of LLM performance. It's far more worrisome that two of the pools are US-based and the government could just tell them to collude.
Fundamentally, is the math between "AI" (LLM training) and Crypto different, or is it just matrix math all the way down?
I am dyslexic, so if I have to write a longer text, I am 100% using LLM to correct. Full text from nothing typically doesn’t look good.
Neat app but kinda slow and on mobile the site is quite laggy. You said that it is able to exacure orders, farm airdrops and participate in other DeFi activities using it's integrated wallet but this begs the question, how secure is your platform? When you consider that it is a chatbot/LLM which are prone to hallucinations especially when the user provides general unspecific prompts how can a crypto newbie or even some with experience be sure that their funds are safe when there so many ways a wallet can be drained. Would your AI create a burner wallet so that the funds in the transactions are the only ones at risk? Would you implement 2 factor authentication in the case your Gmail was hacked?
A lot of crypto projects worth their salt will release whitepapers which you can read or at least feed to an LLM. Focus on the tokenomics models (e.i, number goes up bc…). Now’s a good time to get in if you’re in the US as regulatory shifts are still being finalized from the Genius Act passage and pending Clarity Act.
Here’s the kicker: this is LLM generated bullshit.
LOL wtf is this - are you a LLM yourself running on a poor model that you're unable to read historical charts?
My dude…. Does it really take an LLM to come up with three good words here? I’ll grant you that — they’re not revolutionary, but we gotta keep things simple sometimes!
My dude…. Does it really take an LLM to come up with three good words here? I’ll grant you that — they’re not revolutionary, but we gotta keep things simple sometimes!
It’s 100% an LLM AI. What makes you say it isn’t?
Link is only an intermediary for oracle purposes, ie fx rates and stuff like CIP...It connects chains essentially. Linea is only a sandbox test for SWIFT, EVM is well known but is too fragile imo for these use cases, certainly for large value tx's that don't need instant settlement...Hell, even Vitalik says it's flawed, hence why the move to RISC-V.... If ya don't believe me ask an LLM or 3 lol.
So if you just type in "assume bitcoin dies , what will be next bitcoin," in an LLM, you're just gonna get a summary of coins that are popular on social media. It's basically just summarizing search results, not really trying to discern what the "next bitcoin" would be.
The prompt evokes a dystopia so the LLM just fleshes that out. Honestly it is just telling you what you want to hear, i.e. that you will be guillotined by hordes of normies circa 2032. I'm not saying you're wrong. Keep Hodling!
Where do your 99% come from? Seriously. You just make up numbers based on subjective observation and if people here tell you it's not as hard to handle BTC you just deflect. I think it's you who doesn't want to realize you are the old Grandma at the ATM that can't access her money. It's literally a single passphrase that you need to remember or have somewhere secure. That's all someone truly needs. The rest is basically one LLM question away. And Wallets that make use of crypto as easy as Apple Pay exist btw. Not that I would recommend them but you seem to be completely unaware of the current crypto economy and still claim it to be 'so hard' to understand.
Saying ‘what about LLM’s’ doesn’t mean anything in relation to quantum computing. The technical challenges are enormous. To counter your ‘what about LLM’ argument, nuclear fusion technology has been about 20 years from being commercially viable for about the last 50 years, and still is. Can you make a better argument please?
AI does, and you'll learn to do it like the LLM overlords!
Sometimes I think such answers are nowadays better referred to a LLM instead of having to deal with this stupidity all the time.
>I’ve trained my Chat GPT to always tell the truth about everything Damn, you could land a multi million dollar job in OpenAI if that's the case, as all LLM companies are fighting to do what you just did! /s
The "LLM writes trash code" is a reflection of the user not understanding their problem more than the LLM in all cases I've seen. LLM is almost exactly as useful as an offshore team. That is to say, the requirements you write are extremely important. This is where an experienced PM comes in. If you give an offshore team garbage instructions, you'll get garbage back. Same as an LLM. The opposite is also true; good in, good out.
It heavily depends on the area. Some are heavily standardized - like enterprise java software, webapps, many mobile apps that just provide interface to cloud services - they are really simple for AI. Something like embedded software - definitely not now, but I would expect that in 2-3 yeard LLM will be able to at least write simple hw drivers. Right now LLM can replace low qualification developers just fine (with more or less similar amount of mess produced), it is just that not everywhere you have lots of low qualification developers.
Go say that on a programming sub, they won’t believe you, they’ll double down on all the code the LLM writes being trash that will take 10x longer to debug than just having written it themselves.
We've replaced offshore dev teams with LLMs at work. The project managers, devs, and QA that worked alongside the offshore teams transitioned incredibly smoothly, almost surprisingly so. The logical next step is to replace the local devs, QA, and eventually PMs. At the rate LLMs are advancing I expect this will be possible in 3-5 years. An experienced employee with experience in all three of the above roles would theoretically be the only one required to interact with an LLM "team". We're at a really interesting point in time for a lot of jobs.
We can't. Maybe at a certain point will been able to identify statistical anomalies, like those of fake news who tend to spread across the web with a different pattern than ordinary news, but so far, as long as we can count us all there is not much to know if nth wallets are managed by nth humans or by more or less sophisticated bots trying to manipulate the market. Here I can't even know if you are an LLM from a social experiment or a human for instance.
Only problem is current AI LLM's can lie and make stuff up. But there's one AI project that has been working on a 100% guarantee its executions will be correct based on their specifications. They have been in crypto space for years researching the problem of eliminating bugs in code and this past year they released their computer language that includes formal verification built in to address this. They've been building a testnet and this past week they showed the first transactions from a wallet. They have aus patent
Rookie numbers. In 2024, US consumers reported losses of over $12.5 billion to fraud. (Quoting an LLM, so might be close)
Thx for the correction note - updated. Had an LLM hallucination moment lol
$AGRS because all other smart contracts are flawed with bugs and can't guarantee 100% correctness. Tau.net has their own language based on logical AI (not an LLM) that has formal verification built into their language to guarantee correct specifications in any system. But wait, there's more! Governance that is a game changer allowing for billions to collaborate on anything; decentralized user driven development. An evolving blockchain that can update its code with every block. Patents with the US. And an extremely undervalued market cap that will make anyone looking at their chart dismiss it to run away and chase meme candles.
You really think my comment was LLM made? I don't know if I find that flattering or not tbh.
They're not actually AI... only LLM... just an fyi
> coins attributed to Nakamoto place the creator’s wealth at around $110 billion False > By Pedro Solimano Is this a real person, or just another LLM bot? Very shallow research
This is some LLM generated garbage, just before the Update 2 look at the LLM output. "....avoids making your dad look suspicious..." 💀 " Got it 👍 — here’s a cleaned-up, structured draft you could post as an update on Reddit. It’s clear, keeps the personal/family side human, and avoids making your dad look suspicious while also summarizing your tech progress: "
Its not as simple as adding 2T inflow of capital = 200k price. In fact, if you add 2T of capital into Bitcoin it could reach 700k\~1M. You have variables like lost Bitcoin, hardcore diamond hands which shrinks the available Bitcoin for sale. So, to the 19.9 Circulating supply you will have to remove all unavailable Bitcoin for sale. Check any AI LLM and it will do the math easier and quicker for you, ain't got the time to do this for you now. Start like "How much capital would be necessary to Bitcoin reach 200k Price". It will segregate all the variables and make you a good picture for an estimate capital inflow for any price you want to know.
If a user encrypts a seed phrase with his own passphrase, then he has to write the passphrase somewhere. It's simpler to write the seed phrase But what if there's an encryption method which doesn't require remembering or writing a passphrase? You don't need a LLM. I think the Vault12 Web page answers the questions https://vault12.com/learn/cryptocurrency-security-how-to/seed-phrase-backup/ I'm not advocating this company's services, but the page does (in a biased way) cover your question They're saying that using encryption is a safe way to have a digital copy of the seed phrase. But encryption is only safe if the decryption key can't be guessed. Your "encrypted hard drive" example suffers from the user having a weak password to decrypt his drive. Is there a way to have secure encryption without prompting the user to supply a passphrase? Not really. But there's a partial compromise which is better than most users' idea of secure - the biometrics (face ID or fingerprint) on your phone. Vault12 doesn't say whether they're using this, or some other method Aside: Vault12's "network of Guardians" key sharding method will frighten away most potential customers. But that doesn't matter. The concept of making an encrypted copy of a seed phrase doesn't require sharding You shouldn't be able to screenshot your recovery phrase in an Android wallet. But nothing can stop you photographing the screen with a different device. Either way, this exposes the image to data exfiltration malware, from the moment you make the image until it's encrypted. Also, unless you tell your Android not to store all your images in the cloud, it will be stored in the cloud - probably encrypted, and encrypted using your biometrics. If your device hasn't captured your biometrics, Android falls back to your PIN, password or 9-dot grid pattern To avoid asking the user for a passphrase, "modern" phone security is based on lesser things. Are these encryption methods good enough? So far, they are. I"m not aware of any reports of cloud storage being hacked if encrypted using these methods. The advantages of biometrics are * the user's data isn't exposed to his own weak password/passphrase * the user doesn't have to write or memorize a passphrase * the data is always accessible, even after losing a phone --- There's also the Block BitKey, released in 2024. This is a hardware wallet without a seed phrase. Instead it uses 2-of-3 multisig. One set of keys on the device, one set of keys on the user's pone, one set of keys held by Block. And the device itself relies on biometrics - it has a fingerprint scanner
I'll take Senior Staff Engineer for 2.8 BTC/yr. I can offer ok-ish LLM prompting skills.
People that literally have no idea how LLM’s produce their responses, are deciding on how the softwares need to be wrote. Coinbase about to find it the hard way.
Not only in this sub. Whol Reddit is being created with AI to engage ppl, make then interract so they can charge bigger money from LLM companies for API access.... I see shitloads of posts where "ppl" are asking literally dumb questions, on which they coulda have found answers in google in no time... Time to completly move on to X
This is insulting to people who are truly struggling. Get your LLM ass out of here.
A truly private commute system needs to be implemented using fully homomorphic encryption and actually have the commute performed on the encrypted dataset. This technology is not there yet. With ZKproofs or something like RISC-0 where every compute cycle is cryptography hashed within a VM, we can do it but not efficiently yet. So the only way to do "private" commute is with TEEs but we have no way of verifying if there is a backdoor or if it's being subject to a side channel attack. Also, the only way to guarantee data sovereignty in a truly private system is for the chain to be built on Ethereum as it's the only sufficiently decentralized and creditably neutral system out there. Yes it doesn't have the performance as other chains, but that is the trade off you're making. To do what you are advertising, you need the LLM provider to submit their weights using E2E encryption to some data storage combined with an ethereal VMs and a ZKproof of the model so the users can verify what they're getting and have full agency over the process where the Layer 1 or 2 cannot potentially censor them. There is no need to have another Layer 1 or token to facilitate or incentivize this.
It actually was. In order to have a decentralized network of nodes and build towards being permissionless, we needed a token to act as the incentive mechanism for nodes to do work and add compute capabilities to the network. Having a token allows the access to Nillion's utility to also be decentralized and prevent censorship resistance. And it's not vaporware, you can go use our secure LLM nilGPT which is live on mainnet right now (with all of Nillion's privacy built-in): [https://nilgpt.xyz/](https://nilgpt.xyz/)
What assurances do people have that their LLM chat data is actually private? Also how does your privacy preserving technology work more broadly speaking? Can you give us a few paragraphs at a high level in terms of what technology is used and what it is built out from?
Lmao no it's *definitely* not. You have to review the hallucinating diarrhea the LLM produces and in complex systems refactor the shit out of it because it doesn't know your entire codebase. Its horrible for refactorings. It's usable for generating tests with the occasional hiccups but the rest.... Well.
People who lose money because they rely on an LLM for financial advice
In the early 2000s machine learning was invented and used widely by big tech already. There were no LLM yet, for the big public though. But AI isn't entirely new.
Ai is trained to spit out things that sound plausible to you. They scrape massive amounts of crap and regurgitate it. Don't ask an LLM for investment advice, you're asking for trouble.
You don’t understand AI if you say that … The LLM’s tech are designed to have RNG in them, it’s a design flaw. They can say something, and they can also say the total opposite for the same question if you ask it again. LLM’s are not designed to give optimal awnsers.