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
RESEARCH
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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 🙂 -
Unpredictable AGI may resist control, diverse AI safer
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Unpredictable AGI may resist full control, making diverse #AI safer
by Gaby Clark @TechXplore_com Learn more: https://
bit.ly/48empCF #ArtificialIntelligence #MachineLearning #ML -
Anthropic Mythos vs GPT-5.5 CyberGym Benchmark Scores Compared
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Also, a detail some of you may have missed: Anthropic’s gated Mythos model scored 83% on CyberGym. OpenAI just dropped GPT-5.5 at 82%. Except GPT-5.5 is actually available for people to use.
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AI Philosophy Trend Growing More Painful Weekly
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Yes, the new AI philosophy trend is growing more painful by the week
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AI Models Automate Self-Jailbreaking Process Advancement
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I mentioned this project in this week's AI Lab newsletter. It suggests a kind of flip side to the idea of self-improvement in AI models. As models become more powerful, it shows they can automate the process of figuring out how to jailbreak themselves and other models remarkably