
Sam
10.6K posts




This is HUGH! 2,500 kN solid propelled rocket motor tested in North korea.



After @Pinterest @Airbnb @NotionHQ @cursor_ai, today it’s @eoghan @intercom publicly sharing that they’re finding it better, cheaper, faster to use and train open models themselves rather than use APIs for many tasks. And hundreds of other companies are doing the same without sharing. Ultimately, I believe the majority of AI workflows will be in-house based on open-source (vs API). It took much more time than we anticipated but it’s happening now!


🚨NEW: The UK has accused Iran of "holding the world economy hostage" [@AlJazeera]












I love infrastructure like this because back in Canada and the United States, building this would be harder than flying humans to the Moon. You’d need to get permits for: 1: A train bride 2: “Environmental concerns” 3: Shops under the bridge 4: No street parking 5: No car parking lots 6: Bike parking areas 7: Size clearance And probably so much more that I’m missing

Instead of fighting over a 21-mile-wide bottleneck forever, we cut a new channel through friendly territory. A dozen thermonuclear detonations and you’ve got a waterway wider than the Panama Canal, deeper than the Suez, and safe from Iranian attacks. chinatalk.media/p/its-time



I deeply agree with Emily Bender's main point: LLMs are useless, unless you want to offload cognition. (The other two usecases she suggests are rare special cases of the third.) Offloading cognition into machines has always been the purpose and application of computer science and AI.











