broadfield-dev

Equivariant Encrypted Inference

this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free. nvidia is a trillion dollar company with hundreds of teams but they are not the ones quantizing models middle of the night and pushing them out before sunrise. if nvidia stopped tomorrow their employees stop working. people like @0xSero would not. that is the difference between a paycheck and a mission. @NVIDIAAI you talk about making AI accessible. the people actually doing it are right here. 29 models deep burning their own compute with no ask except more hardware to keep going. you do not need to build another program. just look at who is already building for you. one GPU to this man would produce more public value than a hundred internal sprints. i am not asking for charity. i am asking you to invest in someone who already proved it.

@elonmusk @pmarca Yeah, a Small Language Model will be able to assemble apps from a database of blocks locally on a users cellphone. It's how the bubble bursts.

@pmarca Yeah, that’s actually going to happen. Real-time generated video specific to the user.

Unironically the future?

@elonmusk @grok This is a 50 IQ idea.

Try using @Grok for your taxes!

@RoundtableSpace After two years of exploring the full stack of AI development frontier, and building out and testing all the cool new SOTA methods, I can confidently say that the AI is a new database architecture that is easy to query. It's great, but it's as dumb as any book.

HERE ARE THE 5 MOST COMMON AI MISCONCEPTIONS 1. AI thinks/understands like a human → No — it's advanced pattern matching & prediction, zero real comprehension or consciousness. 2. AI will take/replace all our jobs soon → It automates tasks & transforms roles, but creates new jobs & augments human work far more than it eliminates. 3. Current AI is truly intelligent / AGI is imminent → It's narrow & specialized; no general intelligence yet — progress continues but slowly beyond scaling. 4. AI is always objective & unbiased → It inherits & amplifies human biases from training data; fairness requires deliberate mitigation. 5. AI hallucinates only rarely / is reliable out-of-the-box → Confident-sounding errors (hallucinations) are core behavior; high-stakes use needs human oversight & verification.

@1RustyMac @RoundtableSpace Transformer models turn input embeddings into output embeddings using a static algebraic equation, meaning input A will always equal output B. It's new database architecture.

@RoundtableSpace All 5 points assume AI = pattern matching. That’s already being challenged. When a system can hold ambiguity instead of collapsing it, hallucination stops being a feature. That’s where things get interesting.

@chatgpt21 I heard Meta has a game engine can probably get at a discount

Big ask.. but can OpenAI put a real time 3D game engine into Codex, I think it could lift revenue run rate another 10 to 15 percent minimum. Would be really cool for Codex have something like Unity style game development.

@TheAhmadOsman adaption. Small models that run inference on small hardware.

remember that crazy guy who told you to Buy a GPU? he wasn’t so crazy

@sudoingX pypi.org/project/simple…

@sudoingX from simpleeval import simple_eval def run(expression: str): try: result = simple_eval(expression) return f"The result of the expression '{expression}' is {result}." except Exception as e: return f"Error: Could not evaluate the expression. Details: {e}"

thinking out loud. every model gets math wrong. 7B, 9B, 70B. doesn't matter. pattern matching is not computation. hermes agent has code_execution which spins up a full python sandbox with RPC over unix sockets. powerful but heavy. a 9B isn't going to navigate that reliably for basic arithmetic. what if there was a lightweight calc tool built in. model hits a math question, calls the tool, gets the exact answer computed on your hardware. no interpreter overhead. sandboxed. simple enough schema that a 9B can call it every time. the accuracy problem stops being a model problem and becomes an infrastructure problem. and infrastructure is solvable. @Teknium would this belong in hermes agent or is code_execution enough?

@Polymarket Whenever I see, "Our model is capable of going off the rails and doing ....." I think, "train a better model" They do exactly what they are trained to do.

JUST IN: Nvidia CEO Jensen Huang calls on tech leaders to "be careful not to scare people" regarding AI.

Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: nousresearch.com/bells Code: github.com/NousResearch/a…

@elonmusk @diana_dukic already dating other platforms it's just over let it go

@diana_dukic What needs to be better?

Went from scrolling 24/7 to not even wanting to log in. X just hasn’t been hitting the same lately.

@jonstewart I don't think either of you are good propagandists. Evangelists maybe to a select group of followers.

Elon Musk is an extremely skilled propagandist.

@EricRWeinstein We get about 150 year window between technology wrecking solar flares to figure shit out. Maybe next time.

This time, it's different.

@RileyRalmuto LLM weights are an algebraic equation. Input A will always produce output B. If AI can be conscious, then calculators can also be conscious.

remember: hundreds of billions of dollars are invested in making sure you dont believe ai is capable of consciousness. hundreds of billions of dollars. cogsec is the most important discipline you could possibly invest in right now.

@pmddomingos they are good copy / paste machines faster than copy / pasting from stackoverflow

Perhaps AGI is not imminent after all.

@ERodz3 @reem_a That was my sentiment. A chatbot company hiring somebody to... chat with people.

@reem_a have an agent do it? aren't they replacing everyone anyways?

I'm hiring someone to join my team at Anthropic to lead Claude Code comms. This is not a role for someone who wants to run an old playbook. You'll need to be a Claude Code super user, understand developers and dev tools, and have great taste. You'll work hard, learn a lot, and ship with the best people around. Non-traditional comms paths welcome. My DMs are open!

@reem_a Why can't the super powered AI that might have "feelings" handle communication? Communication is the thing that LLM's are best at.

@elonmusk @doganuraldesign Give the users your backend algorithm control panel, and let them choose their own feed content. Easiest fucking thing in the world, that few will complain about.

@doganuraldesign Me too

Fuck it, man. I’m so sick of these algorithm changes.

@DonaldJTrumpJr @worldlibertyfi alright, not saying this won't work, but consider that absolutely nobody has mapped the potential A:B pairs inside a models weights, and that a random number generator is largely involved in their "spend my money" trigger.

AI agents that can reason but can't pay for anything are just expensive interns.  Today @worldlibertyfi shipped the infrastructure to fix that. AgentPay SDK, open source, self-custodial, policy-first. Built on USD1.  Your agent. Your keys. Your rules. Check it out: agentpay.worldlibertyfinancial.com