The Principles of Diffusion Models
arxiv.org·4d·
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🧠Neural Networks
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Your Transformer is Secretly an EOT Solver
elonlit.com·1d·
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⏱️Cycle Accuracy
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In a First, AI Models Analyze Language As Well As a Human Expert
quantamagazine.org·1d·
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🧠Neural Networks
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·1d·
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🧠Neural Networks
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Holographic theory of LLMs: explains unbreakable bias and cross-model infection
habr.com·3d·
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🧠Neural Networks
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Show HN: Everything it took to run an LLM at 10k tok/s on H200s
relace.ai·3d·
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🔍Ghidra
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2026 is the year of fine-tuned small models
seldo.com·4d·
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🧠Neural Networks
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Emergent introspective awareness in large language models
transformer-circuits.pub·1d·
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🐛Fuzzing
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Deep Reinforcement Learning Book
deepreinforcementlearningbook.org·2d·
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🧠Neural Networks
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How are you handling identities for AI agents?
news.ycombinator.com·5h·
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🐛Fuzzing
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Generative AI, Simplicity, and Easiness
gioleppe.github.io·1d·
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🧠Neural Networks
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Vercel AI SDK 6 Beta
v6.ai-sdk.dev·1d·
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🔍Ghidra
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How Well Does RL Scale?
tobyord.com·2d·
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🧠Neural Networks
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The Backbone Breaker Benchmark: Testing the Real Security of AI Agents
lakera.ai·2d·
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👻Rootkits
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Why AI companions exploit the same psychology as teddy bears
lightcapai.medium.com·35m·
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🧠Neural Networks
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How the Substack feed is learning to understand your reading journey
mrkcohen.substack.com·21h·
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🧠Neural Networks
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Beyond the Magic: How LLMs Work
tag1.com·4d·
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🧠Neural Networks
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A Formulation of Slop: How Optimization Pressure Destroys Meaning
intuitmachine.medium.com·7h·
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🦀Rust
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Books for Robots (Only)
jmadden.org·2h·
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💻operating systems
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Thought Engineering
pranavc28.github.io·1d·
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🧠Neural Networks
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