ai researchers rocket scientists managing burn
RESEARCH
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AI Model Release Furor: Don’t Need to Switch Providers or Declare a Winner
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Among all the model release furor, important to note that people don’t need to switch providers or declare a winner every time a new model is released. Especially as Opus 4.7 is a good model too! (Especially since adaptive thinking got better)
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Adding ML Intern Project to Hugging Face Repository
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nice! should we add it to https://
github.com/huggingface/ml
-intern
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Geospatial reasoning and AI future interview with Rezaur Rahman
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Our thanks to Rezaur Rahman for stepping away from a busy NEXT to join Chris Sniffen for a great conversation on geospatial reasoning and the future of AI. Stay tuned for full interview!
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Large-Scale Asynchronous Training Techniques for Neural Networks
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It's worth pointing out that we have been pushing on large-scale training and asynchronous techniques for the last ~14 years. Here's our NeurIPS 2012 paper where we demonstrated that this approach could be used to train very large neural networks (for the time: 30X larger than
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GPT-5.5 Pro Testing: Social Science Research, RPG Development, and Hard Problems
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Here’s my view on GPT-5.5, which I have been testing for a couple of weeks. It conducted not-bad social science research on its own, developed a novel RPG & more. There is still jaggedness but GPT-5.5 Pro is (for today) the best model for hard problems.
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Google TPU 8i Co-Designed for Low Latency Inference
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TPU 8i is co-designed with our Gemini research team to support low latency inference. Among the attributes that support this are large amounts of on-chip SRAM, enabling more computations to be done on chip without having to go to HBM for weights or KVCache state as often. The
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AI Tool Condenses Multiple Research Tabs Into One Summary
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🚨 Doing heavy research or deep work?
— Charly Wargnier (@DataChaz) 23 avril 2026
You need to see this.
I just turned 14 chaotic open tabs into a beautifully clean one-page summary.@airjellyAI is going to be a total LIFESAVER for PhDs & researchers trying to organize scattered thoughts 👀pic.twitter.com/vTmVR0m4U7 https://t.co/ux5Tgbh7DVDoing heavy research or deep work? You need to see this. I just turned 14 chaotic open tabs into a beautifully clean one-page summary. @airjellyAI is going to be a total LIFESAVER for PhDs & researchers trying to organize scattered thoughts
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TPU 8t: 3X FP4 Performance Boost Over Ironwood
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First, let's talk about TPU 8t, which is designed for large-scale training and inference throughput. The pod size is increased slightly to 9600 chips, and provides ~3X the FP4 performance per pod vs. Ironwood (8t has 121 exaflops/pod vs. 42.5 exaflops/pod for Ironwood). In
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Young AI Researchers Win Award Without PhDs
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Congrats to @AlecRad @Luke_Metz and @soumithchintala
! It's really cool to see work produced by a group of 20-somethings without a single PhD between them winning this award. I hope to see these three collaborate again one day 🙂