read more: https://
alphaxiv.org/abs/2605.04418
MACHINE LEARNING
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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
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Introduction to Neural Networks Educational Resource
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Download 242-page PDF “Introduction to Neural Networks” https://
dkriesel.com/en/science/neu
ral_networks
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#DataScience #AI #Algorithms #ML #MachineLearning #DeepLearning #Mathematics #Calculus #DataScientist -
Excitement for upcoming AI models: GPT 5.6, Opus 4.8, Kimi, GLM
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Don’t know if I’m more excited for gpt 5.6, opus 4.8 a new Kimi or GLM model. What a freaking amazing time to be alive
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Excitement for GPT-5.5 and next model hype
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GPT-5.5 is the goat right now. Freaking excited for the next model. And Sama is great hyping it up 😉
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Québec AI Sovereign Manifesto: Building AI‑First Enterprises
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The http://
QUEBEC.AI Sovereign Manifesto. The next great enterprises won’t just use AI. They become AI‑First intelligence organizations: – Agents discover.
– Validators prove.
– Memory preserves.
– Governance controls.
– The enterprise compounds. Québec’s sovereign AI -
AI outperforms ER doctors; not consulting it unethical
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It is unethical for a doctor not to consult an AI! A new study published in Science shows OpenAI's o1 model (not 5.5, but the over 1 year old o1!) outperformed ER physicians at diagnosing patients, identifying the correct or near-correct diagnosis 67% of the time versus 50–55%
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Agent-World: A New Self-Evolving Training Arena for AI Agents
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What if your AI agent could train itself by exploring thousands of real-world services and automatically finding its own weaknesses? Renmin University of China and ByteDance Seed introduce Agent-World, a self-evolving training arena. It works by having the agent discover new