AI has crushed it since this post way beyond expectation. I made the same category of mistake all of AI was making, of thinking we have to discover and write the algorithm. You don't. You pretrain and then finetune a BIG neural network on lots of tasks and it just falls out. lol.
MACHINE LEARNING
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Grok 4.1 Thinking ranks #2, Grok 4.1 #3 on LMArena; #1 by Jan?
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Grok 4.1 Thinking claims the top 2 spot on the LMArena text leaderboard (preliminary), with Grok 4.1 following with the top 3. Top 1 by Jan?
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PyTorch Built-in Functions Outperform Custom Tensor Rearrangement Code
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Always a slightly mixed feeling to write pretty good first-principles code to do some tensor rearrangement, only to find that PyTorch has a built in function that does it faster. I had made a point of at least skimming the docs of every torch and tensor function, but if you
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Evolution Strategies at Hyperscale: Deep Learning Optimization
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Evolution Strategies at the Hyperscale Sarkar et al.: https://
arxiv.org/abs/2511.16652 #ArtificialIntelligence #DeepLearning #MachineLearning -
VLM Benchmarking for Long Horizon Robotic Household Tasks
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Our most recent work that benchmarks modern VLM and their efficacy for long horizon household activities in robotic learning, using BEHAVIOR benchmark environment.👇 https://t.co/8Ibx8IA7MW
— Fei-Fei Li (@drfeifei) 25 novembre 2025Our most recent work that benchmarks modern VLM and their efficacy for long horizon household activities in robotic learning, using BEHAVIOR benchmark environment.
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Generative AI Tech Stack Framework for Autonomous Agents
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The Generative AI ecosystem is evolving into a full tech stack — powering autonomous AI agents.
From infrastructure and LLMs to RAG pipelines, agent behaviors and orchestration layers, this framework shows the 6 layers driving next-gen AI systems. Credit: @goyalshalini #AI -
Claude AI Speeds Up Tasks by 80 Percent Across Professions
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Based on Claude’s estimates, the tasks in our sample would take on average about 90 minutes to complete without AI assistance—and Claude speeds up individual tasks by about 80%. The results varied widely by profession:
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New Manuscript: Photovoltaic Solar Plant Maintenance Management Study
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We present our new manuscript published in Springer Nature: "Photovoltaic Solar Power Plant Maintenance Management Based on Statistical Analysis" @AlbaMunozdelRio @Isaac_Segovia_ @faustospain #SolarTech #AI #Engineering link.springer.com/chapter/10…
→ View original post on X — @faustospain, 2025-11-25 10:59 UTC
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Meta’s Three-Gate Theory Explains Sparse RL Updates in LLMs
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This Meta paper just gave an empirical proof of why RL updates in LLMs are so sparse! They proposed this "Three-Gate Theory” & showed that pretrained models have highly structured optimization landscapes, so geometry-aware RL is much better than heuristic based SFT methods
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Cerebras Co-hosts 8th Neural Scaling Workshop at NeurIPS 2025
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Heading to @NeurIPSConf 2025? Cerebras is co-hosting the 8th Neural Scaling Workshop at NeurIPS 2025 with @mbzuai
, @Mila_Quebec and CERC-AAI Lab. Join us: https://
luma.com/gy51vuqd