Skills can allow you to have deterministic execution patterns, so I have a lot of minimal harnesses for repeated tasks, that way I can control outcome no matter what model I use This is extremely helpful if you have multiple endpoints / models that you want to run in parallel
AI
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Stanford and partners announce 2026 Conference on Physics and AI
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The Center for Decoding the Universe teams up with @APSphysics
's Group on Data Science and @NeurIPSConf
's Machine Learning and Physical Sciences Workshop team to present the 2026 Conference on Physics and AI (PAI26). Learn more about this year's agenda: https://
datascience.stanford.edu/PAI26 -
Using GPT 5.5 for Equidistant Point Placement
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I just told GPT 5.5 to come up with a new equidistant point placement on the plane based on the recent OpenAI research paper. Should we be worried?
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Complete guide to understanding LLMs from first principles free online
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INCREDIBLE The MOST COMPLETE GUIDE for understanding LLMs from first principles is now available online to read for free Covers the model mechanics – Tokens / tokenizers
– Transformers
– Attention
– KV cache
– Prefill vs decode
– Decoding controls
– Model packages
– Chat -
Opacity of neural networks infects academic papers
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The opacity of neural networks has infected the papers about them.
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HRM Outperforms Transformers 7x Its Size
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HRM beats Transformers seven times its size in language modeling!? "HRM-Text: Efficient Pretraining Beyond Scaling" This paper introduces the Hierarchical Recurrent Model (HRM), which incorporates slow planning layers and fast execution layers to enhance planning and recurrence. The model was trained directly on…
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Stochastic Tiny Recursive Models améliorent PPBench
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“Probabilistic Tiny Recursive Model” This paper makes Tiny Recursive Models stochastic at test time by adding Gaussian noise, running parallel rollouts, and using the existing Q head to pick the best answer. With no retraining and no task-specific tricks, its PPBench jumps from
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LLMs: symbolic AI triumph with more noise
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Looked at this way, LLMs are the triumph of symbolic AI, just with more noise.
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Pomelli generates landing pages and brand books in 2 clicks
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GOOGLE 🔥: Pomelli can now generate and host a landing page website based on your Brand DNA in 2 clicks! Brand Books generation is now available as well.
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 mai 2026
Testing time 👀 https://t.co/sExiivG8mS pic.twitter.com/cqp0CWS3OIGOOGLE : Pomelli can now generate and host a landing page website based on your Brand DNA in 2 clicks! Brand Books generation is now available as well. Testing time
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Google Updates Project Genie with Street View World Building
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📣Google just leveled up Project Genie — and it's actually wild.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 21 mai 2026
You can now:
🌍 Build worlds from real Google Maps Street View locations
📚 Save + remix your creations in a personal library
🔗 Share them externally (Ultra subs can explore & remix)
Real-world imagery.… pic.twitter.com/awcqig8vsVGoogle just leveled up Project Genie — and it's actually wild. You can now: Build worlds from real Google Maps Street View locations Save + remix your creations in a personal library Share them externally (Ultra subs can explore & remix) Real-world imagery.