🤖 AI

OpenAI, Anthropic, local LLMs

Unsupervised Model Improvement via Internal Coherence Maximization
huggingface.co·5h·
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The two people shaping the future of OpenAI’s research
technologyreview.com·3d·
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AI Turns Drone Footage into Disaster Response Maps in Minutes
stories.tamu.edu·1d·
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How AI Could Start a Nuclear War
medium.com·1d·
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MLE-STAR: A state-of-the-art machine learning engineering agents
research.google·2d·
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AI Thinking, Fast and Slow
danmu.nz·21h·
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Task-based returns to generative AI: Evidence from a central bank
cepr.org·4h·
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Europe’s Data Vision: Dataspaces for Zero-Trust AI Infrastructure
hackernoon.com·7h
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AI and Copyright in the UK
technollama.co.uk·32m·
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Why Multimodal LLMs Still Struggle with Video — And How AI Agents Can Help
hackernoon.com·2d
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Your AI Agent Needs Minimal Relevant Context at the Right Time
chkk.io·1h·
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You're probably not learning with AI
aryas.dev·1d·
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Stanford University and Meta Reality Labs have unveiled revolutionary VR display
rudebaguette.com·2h·
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The Making of Anthropic CEO Dario Amodei
kantrowitz.medium.com·2d·
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The Summer of Codex
paylias.xyz·1d·
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Releasing open weights for FLUX.1 Krea
krea.ai·3d·
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Dora Research: Concerns beyond the accuracy of AI output
dora.dev·2d·
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Show HN: Synapse – Multi-model AI combining LLMs and humans for marketing output
news.ycombinator.com·3d·
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Data Labeling Is the Hot New Thing in AI
spectrum.ieee.org·2d·
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Fintech Dystopia: Finance and Applied Statistics
fintechdystopia.com·1d·
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