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broadfield-dev
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broadfield-dev
@broadfield_dev
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Tham gia Ocak 2025
917 Đang theo dõi39 Người theo dõi
@pmarca It's not a breakthrough, it's a steady progression over the past two years of looping the models response back to itself through software. The models have just become more capable, so some people, not me, trust that a text message will control them, without having Ctrl+C ready.
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OpenClaw and Pi together are in the top 10 of all time software breakthroughs.
Chrys Bader@chrysb
folks who are calling @openclaw pure hype are telling on themselves openclaw is like the early internet, it's raw, unrefined, and takes a little doing to get things to work, but when you figure it out, it's transformative. here are some real use cases that are having material impact on our $2.5M ARR business: 1. ad creative pipeline. our head of growth @ArjunShukl95550 built an end-to-end creative pipeline to go from ideation to publish adds to meta, greatly increasing our creative iteration speed. it's producing winning creatives. it lives in slack, and anyone on the team can share their ideas and have them enter the pipeline. 2. data analytics agent. another bot lives in our slack that connects to bigquery and lets our team ask any questions of the data, it produces charts and answers questions in real time. no one needs to write SQL anymore. 3. recruiting. i told my agent about a role we're hiring for, and it scoured linkedin and the web, found 30 candidates, portfolio, email addresses, and stack ranked them based on fit with our criteria this is just in the past week. i have twenty more success stories for you i can share another time. you have to understand, this is the shittiest it will ever be. everyone is going to have one or more personal self-improving agents that they use every day, and openclaw is what revealed this future to us. if you can't see this, i encourage you to look harder there will be many competitors (and already are), and the large labs will start to converge on this (they already are) too. openclaw may not win, but it opened pandora's box and uncorked the agentic future.
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broadfield-dev đã retweet
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.
0xSero@0xSero
Putting out a wish to the universe. I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss. I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook huggingface.co/0xsero My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle. ——— If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏
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Unironically the future?
Sayan@thesayannayak
At this rate everyone’s gonna have their own app and zero users.
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@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.
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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.
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@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.
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@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.
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@chatgpt21 I heard Meta has a game engine can probably get at a discount
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@TheAhmadOsman adaption. Small models that run inference on small hardware.
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remember that crazy guy who told you to Buy a GPU? he wasn’t so crazy
Suhail@Suhail
I am now at 5 GPU providers being completely sold out for a single node of 8xH100s. I don’t think people understand the gravity of what is about to come.
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@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}"
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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?
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@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.
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JUST IN: Nvidia CEO Jensen Huang calls on tech leaders to "be careful not to scare people" regarding AI.
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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…
emozilla@theemozilla
it's been a longstanding dream of mine build an ai system that can tell a compelling story. it's what got me started in the space in the beginning, and with Hermes Agent I finally pulled it off 100% written, typeset, etc. by Hermes Agent those at our gtc event got hard copies🤗
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@elonmusk @diana_dukic already dating other platforms
it's just over
let it go
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Went from scrolling 24/7 to not even wanting to log in. X just hasn’t been hitting the same lately.
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@jonstewart I don't think either of you are good propagandists.
Evangelists maybe to a select group of followers.
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@EricRWeinstein We get about 150 year window between technology wrecking solar flares to figure shit out. Maybe next time.
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@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.
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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.
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@pmddomingos they are good copy / paste machines
faster than copy / pasting from stackoverflow
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Perhaps AGI is not imminent after all.
Lossfunk@lossfunk
🚨 Shocking: Frontier LLMs score 85-95% on standard coding benchmarks. We gave them equivalent problems in languages they couldn't have memorized. They collapsed to 0-11%. Presenting EsoLang-Bench. Accepted to the Logical Reasoning and ICBINB workshops at ICLR 2026 🧵
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@reem_a have an agent do it? aren't they replacing everyone anyways?
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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!
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@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.
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@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.
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Fuck it, man. I’m so sick of these algorithm changes.
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