Hallucinaton reduction at that scale would change which use cases are actually viable, not just which ones work most of the time.
LLMS
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Claude’s unique problem-solving capabilities
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The fact you're always learning something new from it suggests Claude is consistently approaching problems differently than you would have.
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Codex auto-review loop to fix errors continuously
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All I want is codex automatically entering /review mode after it's done and just looping until it stops finding booboos. (Yah I'm gonna build that)
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DeepMind paper provides evidence for LLM training data regurgitation
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Am old enough to remember when @GeoffreyHinton told me I was stupid for saying that LLMs regurgitate training data. He was wrong. LLM regurgitation is now one of the best-established findings in the field. Excerpt below from a new DeepMind paper; every single one of the
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The challenges of LLM alignment with human values
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Not even surprised by horrific stories like these anymore. The mission of getting LLMs aligned with human values has largely been a failure.
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Building Interactive 3D Science Apps via AI-Driven Workflows
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🧪 Interactive 3D Science App
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 11 mai 2026
Clean, layered visuals for complex concepts—cells, atoms, physics simulations.
Feels like something you'd expect from a full product team… not a prompt.
GPT images 2 + Code – Gemini 3.1 Prohttps://t.co/tveW1RwrAFInteractive 3D Science App Clean, layered visuals for complex concepts—cells, atoms, physics simulations. Feels like something you'd expect from a full product team… not a prompt. GPT images 2 + Code – Gemini 3.1 Pro
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Community inquiry into Hermes AI model usage and applications
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Who out there is using Hermes, and for what?
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DeepSeek encounters a strange and concerning bug
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DeepSeek has encountered a bug that is both strange and concerning.
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Research on the Effects of Iterative Finetuning on AI Model Behavior
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"Iterative Finetuning is Mostly Idempotent" If a model has a behavioral tendency and you train the next generation on its outputs, does the tendency snowball? This paper actually finds that it's mostly no. So they seed models with traits like sycophancy and misalignment, then
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Demystifying Manifold Constraints in LLM Pre-training
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"Demystifying Manifold Constraints in LLM Pre-training" LLM pre-training depends on a stack of heuristic tricks, eg. normalization layers, weight decay, and optimizer tuning. This paper suggests that by constraining weight matrices to geometric manifolds like spectral or