swyx
@swyx • 162,648 subscribers
achieve ambition with intentionality, intensity, integrity & insanity. affiliations: - @dxtipshq - @cognition - @temporalio - @aidotengineer - @latentspacepod
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Wow. GitHub CEO Thomas Dohmke just announced GitHub Copilot X: - Copilot Chat - "ChatGPT-like experience in your editor" powered by GPT-4 - Copilot for Pull Requests - AI-generated descriptions for pull requests on GitHub - GitHub Copilot for Docs - chat for *any* company's repos and docs, starting with React/Azure/MDN - GitHub Copilot CLI - compose commands and loops, and throw around obscure find flags to satisfy your query. as Benedict Evans might say, the incumbents are embracing and integrating AI into existing form factors faster than startups can build them. To win, startups have to create -new- form factors from first principles.
swyx2,052,108 görüntüleme • 3 yıl önce
Am judging TreeHacks Stanford sama’s takes on: - the literal first day of OpenAI - “if you’re a sophomore, you’ll graduate to a world with AGI” - why Matt Schlicht’s Moltbook matters - what you should work on inspiring in how down to earth it sounds but still extremely impactful when done well.
swyx214,061 görüntüleme • 3 ay önce
ChatGPT casually dropped an APP STORE 🤯 It can now: - browse the web (RIP Bing waitlist, cutoff) - write and run Python (RIP replit?) - access org info (RIP docsearch startups) - add third party plugins from OpenTable, Wolfram, Instacart, Zapier, etc) - developer SDK in preview
swyx1,859,059 görüntüleme • 3 yıl önce
🐣 Introducing `smol-developer`! ▸ Human-centric, coherent whole program synthesis ▸ your own junior developer ▸ develop, debug, decompile ▸ open source: ▸ 200 LOC, half english Insights: 💡 100k context can summarize both content and codebases 💡 Markdown is the best prompting DSL 💡 Copy and paste your errors as prompts 💡 Copy and paste curl output as prompts 💡 write CSS animation by describing what u want 💡 GPT4 >>> GPT3.5/Anthropic Claude for codegen see README for more thoughts!
swyx1,590,825 görüntüleme • 3 yıl önce
insane line at the OpenClaw🦞 meetup tonight to see Peter Steinberger 🦞 do his thing
swyx182,249 görüntüleme • 3 ay önce
🤯 with OpenAI Whisper + TTS + GPT4V, you can just permanently share your screen with an AI and talk to it to get help on anything on screen. a generally intelligent assistant for your digital life. with a bit more engineering you could probably feed it extra docs and context based on the currently active tab/app.
swyx🛬 SFO1,051,628 görüntüleme • 2 yıl önce
after 15 years of waiting, the developers of singapore gave up on waiting for the government to get the tech sector going and finally brought SF to SG. great showings from Daytona Tusk Arize AI and Zo Computer tonight (this is the SECONDARY venue for those not at ClawCon SG) ahead of AI Engineer SG
swyx32,147 görüntüleme • 20 gün önce
ok so let me explain why subagents kill long context Like you can spend $500m building 100 million context models, and they would be 1) slow, 2) expensive to use, 3) have huge context rot. O(n) is the lower bound. Cog's approach is something you learn in day 1 of CS50 - divide and parallelize. Embeddings are too dumb, Agentic Search is too slow. So train limited-agency (max 4 turns), natively parallel tool calling (avg parallelism of 7-8, custom toolset) fast (2800tok/s) subagents to give the performance of Agentic Search under an acceptable "Flow Window" that feels immaterially slower than Embeddings. The benefit of this is threefold: - 8 ^ 4 toolcalls cover a very large code search space. can compound subagent calls if more needed. - predictable cost & end to end latency - subagent outputs "clean" contexts, free of context failure modes like context poisoning and context rot (h/t Drew Breunig ) we originally called this Rapid Agentic Search, to contrast with RAG. but Fast Context rolls of the tongue better. there's 2 other perspectives that are worthwhile, i'll go into below, but just go try it out. here it is on Andrej Karpathy's fastchat
swyx 🇸🇬276,060 görüntüleme • 7 ay önce
finally paid for a Gemini Ultra sub, and tried it out for an unsponsored unsolicited review. it has obvious flaws but... it's here! realtime playable video world model!! here's "arid desert with little tiny human towns here and there and big cliffs and lots of terrain to walk around in" where you're "a giant robot spider like in Wild Wild West". flaws: - it clips thru a lot of terrain. worse than in a game engine. - only too late do i discover you can spacebar and jump on things. - it also sometimes errors out - you can only live in the world for 60 seconds. feels like some kind of black mirror storyline - nothing else moves. ruins immersion. why does every world model lack physics? - prompt to prompt editing can have bad side effects like adding a thing removes a previous thing you liked but: - REALTIME VIDEO WORLD MODEL - instruction following was pretty good!!! - movement acommodates weird legs! - THEY NEVER EVER SHIP GENIE MODELS TO PROD. NEVER. EVER. WHAT TPU SORCERY IS THIS. congrats to the Genie 3 team, i can't believe this actually shipped, what absolute mad lads.
swyx121,819 görüntüleme • 4 ay önce
Inspired by Andrej Karpathy’s words on why you - yes YOU - should work on AI Agents
swyx839,489 görüntüleme • 2 yıl önce
"more than twice the speed" is underselling Haiku tbh built a way to directly compare Sonnet v Haiku 4.5 and it's roughly 3.5x faster, but the UX feels SO much better because Haiku stays inside the "flow window". obviously end to end latency varies a lot so Ant can't report a real number without production usage but you should try heads up comparisons
swyx 🌉171,603 görüntüleme • 7 ay önce
late night low TAM tweet: did a Broadway solo song for the first time in ~18 years! only fumbled lyrics once!
swyx44,516 görüntüleme • 1 ay önce
🎉Congrats to OpenAI for releasing o1: - Economics: tylercowen asked o1 basically to write a college essay - Genetics: Catherine Brownstein asked o1 to help her reason through "n of 1" cases - medical cases that nobody has ever seen - Physics: Mario Krenn used o1 to draft and reason through complex quantum physics equations - Code: Hongyu Ren prompted a full snake game and it was generated zero shot, working perfectly, and obeyed instructions to add obstacles
swyx384,689 görüntüleme • 1 yıl önce