Alignment Research, Model Robustness, Adversarial Examples, Risk Assessment

How to make government work: Lessons from a rare British success story
samf.substack.com·8h·
Discuss: Substack
🤖AI
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There might be something fundamentally wrong with many AI systems, scientists say
the-independent.com·2d
🤖AI
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Cost-Efficient AI at Scale is a Software Problem
eetimes.com·1d
🤖AI
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Patterns for Building a Scalable Multi-Agent System
devblogs.microsoft.com·12h·
Discuss: Hacker News
🔗Microservices
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
app.coderabbit.ai·2d·
Discuss: DEV
🤖AI
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Looking for robotics insights for our Level 2 autonomous EV project using LIDAR + Camera fusion
reddit.com·7h·
Discuss: r/embedded
🤖AI
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Agent Factory Recap: Build AI Apps in Minutes with Google's Logan Kilpatrick
cloud.google.com·1d
🤖AI
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AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week
sarthakai.substack.com·1d·
Discuss: Substack
🤖AI
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Human-centric photo dataset aims to help spot AI biases responsibly
techxplore.com·2d
🤖AI
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Decoupled Entropy Minimization
arxiv.org·2d
🤖AI
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Observer-based neural networks for flow estimation and control
arxiv.org·2d
🤖AI
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Vision Language Models: The AI Eyes That Understand the World
dev.to·19h·
Discuss: DEV
🤖AI
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Studying the Effect of Explicit Interaction Representations on Learning Scene-level Distributions of Human Trajectories
arxiv.org·1d
🤖AI
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Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
arxiv.org·2d
🤖AI
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From Manual Testing to AI Agents: A 90-Day Transformation Roadmap
dev.to·8h·
Discuss: DEV
🤖AI
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Expertise need not monopolize: Action-Specialized Mixture of Experts forVision-Language-Action Learning
paperium.net·1d·
Discuss: DEV
🤖AI
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What Past Computing Breakthroughs Teach Us About AI
cacm.acm.org·13h
🔗Systems Thinking
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Open-weight training practices and implications for CoT monitorability
lesswrong.com·3d
🧵Concurrency
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Continuous takeoff is a bad name
lesswrong.com·2d
🔗Systems Thinking
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