DS-STAR: A state-of-the-art versatile data science agent
research.google·13h
🧠Machine Learning
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Get Ready to Hear a Lot About Robot and AI ‘Swarms’
🤖AI
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Further thoughts
samhawken.com·1d
🤖AI
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The AI development trap that wastes your time
🤖AI
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Why Code Execution is Eating Tool Registries
⛓️Blockchain
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Agents of misfortune: The world isn't ready for autonomous software
theregister.com·14h
⚖️AI Governance
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Inter-Agent Trust Models: A Comparative Study of Brief, Claim, Proof, Stake, Reputation and Constraint in Agentic Web Protocol Design-A2A, AP2, ERC-8004, and Be...
arxiv.org·1d
⛓️Blockchain
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If your AI investments are stalling, it’s a context problem
nordot.app·18h
⚖️AI Governance
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Building Reliable AI Agents with MCP: What We Learned Moving Codegen to the Planning Phase
⚖️AI Governance
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·3d
⚖️AI Governance
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Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts
arxiv.org·1h
🤖AI
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Large language models replicate and predict human cooperation across experiments in game theory
arxiv.org·1h
🧠Machine Learning
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Developer Case Study: Cursor and Claude Code Suggested Building a Proxy. Shotgun CLI Found LiteLLM Instead.
⛓️Blockchain
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·1h
🧠Machine Learning
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