Gates 🦞 (@sgates) header
Gates 🦞 (@sgates) profile picture

I automate things. 🦞

Dallas Tx
Joined November 2014
Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)Photo by Gates 🦞 (@sgates)
Join me in the @SpaceX Challenge 🚀 Every Starship launch, invest $1,000. Rockets go up, we follow. PSA: Not financial advice. @elonmusk
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It has arrived!! @claudeai
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Thank you @xai for resetting the limits on @bot .. Time to test the changes!! ♥️
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FYI, I and many others did NOT get a reset.
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.@xai I keep seeing posts about usage being fixed. Can you please reset limits to test the changes?
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I feel far from wanting to get older, Not knowing what is around the corner. Time comes and goes, slips away, Melting away our years. I am waiting to change, To be again young. - Excerpt from The Race Against Time by V.G. Lopez, a 64-year-old poet, singer & lifelong student of human behavior
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Usuage on @bot feels very limited. I'm on the Premium plan and my usuage is finished in a day or so. This used to feel unlimited. Does anyone else feel this way?! @poteto please help
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Gates 🦞 retweeted
BREAKING: The war in Iran has not ended like Donald Trump promised it would after the midterms ended.
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This is what happens when Texas bans porn!! yahoo.com/news/politics/arti…
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Gates 🦞 retweeted
Elon Musk was once asked to explain first principles thinking in a way that anyone could understand. Instead of giving the business school version (which he has done many times), he gave an example so simple that it revealed something about how his brain actually works, not how he describes it working. He said: "If you want to make a cheaper rocket, most people look at what rockets cost today and try to make them 10 percent cheaper. That's reasoning by analogy. You're comparing to what exists. First principles says: what is a rocket actually made of? Aluminum alloys. Titanium. Copper. Carbon fiber. What do those materials cost on the commodity market? About 2 percent of the cost of a finished rocket. So the question becomes: why is there a 98 percent markup between the raw materials and the finished product? The answer is: because that's how it's always been done. First principles says that's not an answer." The 2 percent number is the one that changed SpaceX. When Elon calculated that the raw materials for a rocket cost 2 percent of the finished rocket, the gap between 2 percent and 100 percent became the engineering problem. Every layer of that gap (labor, manufacturing process, supply chain, contractor markups, design complexity, testing redundancy) was interrogated individually. The layers that were necessary were kept. The layers that existed because "that's how it's always been done" were eliminated. The elimination produced the Falcon 9. A rocket that costs roughly $2,720 per kilogram to orbit. The Space Shuttle cost approximately $54,500 per kilogram. The reduction is not 10 percent. It is 95 percent. The reduction came not from building a better version of the existing approach but from asking why the existing approach costs what it costs and eliminating everything that doesn't have a physics based answer. The simplicity of the explanation is the vulnerability. Most CEOs explain their thinking in complex frameworks designed to sound impressive. Elon explained his in terms of aluminum prices and percentage markups. The explanation is so simple that it's almost embarrassing for the audience of MBAs who spent two years learning frameworks that a commodity price check renders unnecessary. The man who thinks in first principles can explain it to a child because the thinking itself is childlike. Children ask "why" until the adult runs out of answers. Elon asks "why" until the engineer runs out of physics based answers. The moment the answer becomes "because that's how we've always done it," the thing being discussed is a tradition, not a requirement. And traditions are eliminated. Requirements are optimized. The distinction between the two is worth $100 billion in rocket economics. First principles is not a business methodology. It is the refusal to accept an answer that doesn't reduce to physics. Every child does it naturally. Most adults unlearn it. Elon never unlearned it. The man who builds rockets thinks like a five year old who won't stop asking why. The five year old's question, applied with an engineering degree and a hundred billion dollars, is the most powerful tool in commercial space.
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Gates 🦞 retweeted
Hand this to your agent: repo: github.com/areu01or00/qwen0.… What it does, closed form, zero gradients: - reads the activation entering mlp.down_proj (the "key") at every answer-token position, layers 17-21 - target per token = that token's output embedding, scaled by how far the model is from saying it - per layer: dW = R Kp^T (lam*Kn Kn^T + Kp Kp^T + mu*I)^-1 Kp = answer keys, Kn = keys that must not move (~40 general Qs + your contrast set at 10x), lam=3 - spread bottom-up across 5 layers; each layer delivers its share of what's still missing - closed loop: the edited model answers on its own, finds the first token where it drifts, re-solves with that token pushed harder (boost capped 10x, ≤6 rounds) - saves a normal HF model folder. 5 of 488 tensors differ, everything else is byte-identical Knobs: --layer (top edited layer, default ~87% depth), --spread (how many layers, default 5), --lam (higher = more local, weaker write)
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Gates 🦞 retweeted
Weight Space Programming: a glimpse into continual learning. Agent edited Qwen 0.8B's weights to inject facts about my X profile directly into the model: my handle, bio, GitHub, and what i build. It edited 2% of the network (5 of 488 tensors). No training, no gradients. Result: Before, it had never heard of me ("I don't have access to private information…"). After, it tells you who i am, my bio and GitHub, answer project questions it was never trained on. Everything else it knew is untouched. Reproduce : Link to reproduction repo in comments. Point your agent to the repo and teach model your own facts.
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Longevity Grok, a.k.a. your personal longevity superintelligence (PLSI), is an open-source multi-agent workhorse designed to keep you alive & healthy for as long as possible. A collaborative effort from @InSilicoMeds & the Sinclair Lab @harvardmed. Visit longevitygrok.si
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This is the greatest use case for AI I've ever seen
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It is the official policy of the United States government that there are only two genders: male & female.
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OMG somebody actually built a tracker to see if Texas politicians keep their campaign promises 😳 Every pledge from @jamestalarico and @GinaHinojosaTX , quoted word for word and linked to the source. Then: what they actually did. No spin. Just receipts. 🧾 tx-promise-tracker.vercel.ap…
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We spent $2m so you don't have to. And so you can learn how to train MoEs. Mixture-of-Experts LLMs are what powers the AIs you use everyday, and few people in the world know how to train them at scale (a handful at each top AI lab). This handbook distills everything we learned in meticulously crafted chapters and figures. Disclaimer: it may take days to read. We hope to see 1000x more people able to train their own frontier models all over the world! 🤗 Congrats @Nouamanetazi @lvwerra @Thom_Wolf
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Does anyone still use IDE?
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Gates 🦞 retweeted
The becoming begins.
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Gates 🦞 retweeted
Closed-source f*cked again... team that open-sourced Adobe & Microsoft’s stack just released their Reverse Engineering engine after Claude banned REA. It's called Craft Anything, and it lets your AI coding agent: ~ reverse-engineer websites, desktop apps, mobile apps and games. ~ study how existing software looks and works. ~ rebuild your own version using your preferred framework or language. ~ compare the recreated version against the original. ~ identify differences and refine the results. it comes with 284 tools and works as a desktop app, CLI, and MCP server. find the GitHub link below ↓ long live open source!
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