Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Wide-angle interior of abandoned Chinese classroom with peeling concrete walls, dusty overcast light through dirty windows, scattered desks and faded textbooks, a single red-brown horse standing calmly at blackboard covered in half-erased equations, muted desaturated colors, observational realism, documentary stillness, large white text overlay reading AGI positioned like Chinese cinema poster title, Jia Zhangke aesthetic, decelerated time, quietly surreal, human-scale composition
Microsoft tests Researcher and Analyst agents in Copilot https://www.testingcatalog.com/microsoft-tests-researcher-and-analyst-agents-in-copilot-tasks/
The crazy part is that the AI Labs have generally been right. Like, the stuff they hyped in 2023 turned out to be real and working today. That doesn’t mean that the stuff they are predicting for 2028 will also be real, but it is probably worth noting those predictions & watching.”” https://x.com/emollick/status/2023257496069046563
The transition from “AI can’t do novel science” to “of course AI does novel science” will be like every other similar AI transition. First the over-enthusiastic claims, then smart people use AI to help them, then AI starts to do more of the work, then minor discoveries, & then…”” https://x.com/emollick/status/2022676591596515728
Two views on AGI from @natolambert – What we have is AGI – A drop-in replacement for a remote worker Open models can contribute to this. They expand access, reduce power concentration, and keep the path to different forms of AGI open and transparent. Without open models,”” https://x.com/TheTuringPost/status/2023375354740809823
Why I don’t think AGI is imminent https://dlants.me/agi-not-imminent.html
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