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RT @AlexKontorovich: This is wild! Johannes Schmitt used GPT5 to solve his own open problem on intersection numbers on moduli spaces of cur…
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
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New Keras release: 3.13 🎉 Some major new features: • Model export to LiteRT (formerly TFLite) for mobile/edge • GPTQ quantization support for post-training compression • New Adaptive Pooling layers for dynamic architectures
Check out what's new: https://t.co/HtYruzv5P6
Amtrak had a lot of fanfare around its fancy new trains that can go 160 mph, but it turns out that the limiting factor is the super-outdated track infrastructure, so the actual speed hasn't changed much, averaging 65 mph. Whenever I hear about an amazing new productivity improvement due to AI, I ask myself: is this the equivalent of the trains or the track? In almost every single case it turns out to be the trains. In most real-world systems, upgrading the "track" won't happen overnight due to a technical breakthrough. The bottlenecks are political, economic, and sociological.
Princeton CS prof and Director @PrincetonCITP. Coauthor of "AI Snake Oil" and "AI as Normal Technology". https://t.co/ZwebetjZ4n Views mine.
The last player I'll mention in this thread is OpenAI. They tend to launch more products / features within the ChatGPT interface - though Sora and Atlas were two notable exceptions. Sora has been exceptional as a creative tool, but isn't yet working as a social app.
@a16z @omooretweets @GoogleLabs @xai If you want more thoughts on each of these players (+ deep dives on Anthropic, Perplexity, and Meta), check out the @a16z newsletter. And we'd love to hear from you - what were your favorite consumer launches this year? https://t.co/q6T5G01iwV
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