AI 世界今日之变

2026-05-25 / 09:14 UTC+8 · 拆开揉碎了看 AI 世界的变化
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🐦 推文
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Thariq
@trq212
this is me cleaning up some leftover services for my old startup @OMMultiverse we have a huge legacy codebase and a community that still uses it but I haven't had any time to actually look into cost saving measures myself
29 likes
every now and then I remember you can run the "please save me money" prompt and it will actually work https://t.co/5gXnHAwOE8
463 likes11 retweets
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Amjad Masad
@amasad
“I built my first three apps using Cursor and thought that was fast, but trying Replit for Dial completely blew me away. I built the MVP over a single weekend, and it actually got approved by Apple on the very first try—which has never happened to me before.” https://t.co/meAR1zAPLx
100 likes10 retweets
100% https://t.co/9hsvgTgudJ
22 likes2 retweets
It’s going to be epic! https://t.co/CtSXbyTRfX
69 likes3 retweets
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Guillermo Rauch
@rauchg
Processed 1400 replies ◾ OpenAI is catching up to Anthropic ◾ 'Codex' got more mentions than 'Claude Code' ◾ However, by model mentions, A\ is mogging https://t.co/BjtqVGmlUg https://t.co/74j8QbxuLX
211 likes8 retweets
Show me the thing you’ve built with AI you’re most proud of. Reply with a working product URL and what model / agent you primarily used.
2195 likes102 retweets
gm 🏃‍♂️ https://t.co/VI6wkRSrTV
385 likes1 retweets
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Aaron Levie
@levie
This is a fantastic post about why jobs aren’t going away in the way some predict. We are constantly making the mistake of confusing task completion with AI with being able to eliminate the whole job. Even as we can automate one or many tasks within a job, the definition of the job almost inevitably just expands to do vastly more of those task...
627 likes84 retweets
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Garry Tan
@garrytan
My newest gbrain-evals just dropped - this is how gbrain does vs other options. https://t.co/yRWm72QEgf is SOTA for reranking and embedding cost, speed, and retrieval success. GBrain beats MemPalace by 1% on LongMemEval and beats Vector RAG by 38% https://t.co/nIk93HFTHb https://t.co/RIzXFkfFp8
12 likes
Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon. Fast usable multimodal is also going to enable very mind-blowing personal AI. https://t.co/mm3laZb766
996 likes56 retweets
We should fight the people who want to stop startups from staying in San Francisco. We want more startups and more prosperity. I'm fighting back through Garry's List Action, I'm in for $50K, I need 9 more people to match me. Are you in? https://t.co/dDMINuepyc
121 likes6 retweets
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Nikunj Kothari
@nikunj
Love spring https://t.co/oLDofrvDmA
2 likes
Wrote this almost a year ago, and finally starting to see more B2B companies wake up to this opportunity.. Don’t wait another year. Narratives and vibes are extremely important to stand out amongst the slop 🪄 https://t.co/Hcu1kTqo9H
132 likes8 retweets
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Peter Steinberger
@steipete
I always wanted a GitHub dashboard: See my repos, open Issues/PRs, what version I released last, how many commits since last release. So I built one for everyone. https://t.co/GWCP5wcrDQ https://t.co/DRvjenlVMi
676 likes43 retweets
codex... made a smiley? :) https://t.co/UJc4X4A8q1
275 likes5 retweets
Tell codex to maintain a scratch-log while it works on bigger refactors with decisions it had to make, tradeoffs, review fixes, so later on you can read through which tradeoffs the agent made, what you forgot to specify etc.
158 likes4 retweets
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Aditya Agarwal
@adityaag
Can you imagine that we lived in a world 6 months (Nov 2025) ago when we would mostly just chat with LLMs and would be so happy about AI?? It's May 2026 and these LLMs now have produced more code than we have written over all time.
108 likes6 retweets
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Jaya Gupta
@jaya_gupta
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🎬 视频
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Training Data55:00↗ Watch
从波兰高中好友到 $400M ARR 语音独角兽。反常识策略:保持小团队,无职级扁平化。
MCP 协议详解:AI Agent 的 USB-C 时刻
Anthropic20:15↗ Watch
Model Context Protocol (MCP) 正在成为 AI Agent 互通标准。从原理到实战,一文讲透。
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