All philosophy on this subject will soon be done by AI so it’s not a big deal if we get worse at it, even terminally so.
RESEARCH
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AI Achieves Record 62/100 on Senior Engineer Benchmark
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It scored a 62/100 on my Senior Engineer benchmark, a new record! Worked for almost a day:
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AI Researchers and Rocket Scientists Managing Burn
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ai researchers rocket scientists managing burn
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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