Minimizing Loss ≠ Maximizing Intelligence
lesswrong.com·1d
🧠Deep Learning
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Sparse Attention MoE - a test repo for a novel swappable attention mechanism
github.com·1d·
Discuss: r/LocalLLaMA
🤖Transformers
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5 Surprising Truths About AI at Work, According to a 3-Year Enterprise Study
hackernoon.com·15h
🎯Recommender Systems
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ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction - A Blog
habib.bearblog.dev·1d
💬Natural Language Processing
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Show HN: TabPFN-2.5 – SOTA foundation model for tabular data
priorlabs.ai·1d·
Discuss: Hacker News
🧮Vector Databases
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·1d·
Discuss: r/LocalLLaMA
💬Natural Language Processing
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AI is Dunning-Kruger as a service
christianheilmann.com·15h·
Discuss: Hacker News
🤖Transformers
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.ai·5d
📊Data Science
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13 Arguments About a Transition to Neuralese AIs
lesswrong.com·21h
📓Jupyter Notebooks
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A country of alien idiots in a datacenter: AI progress and public alarm
lesswrong.com·20h
🎯Recommender Systems
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Week #4: Read Beyond Words
rootmap.bearblog.dev·1d
📊Data Science
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Agents Work. Sort Of
blog.boringworkflows.ai·1d
🎯Recommender Systems
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·5d·
🧠Deep Learning
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·3d
🎯Recommender Systems
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Show HN: Linguistic RL – A 7B model discovers Occam's Razor through reflection
github.com·22h·
🤖Transformers
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·3d
🔄Concurrency
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·2d·
Discuss: Hacker News
🧮Vector Databases
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Leaving PyTorch and Meta
soumith.ch·1d·
📓Jupyter Notebooks
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Agent Foundations: Paradigmatizing in Math and Science
lesswrong.com·12h
📊Data Science
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anxiety
mighil.com·1d
🤖Transformers
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