AI cannot be left to 'whims of a few billionaires', UN chief tells India summit • FRANCE 24 https://
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REGULATION
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UN Chief Warns Against AI Control by Few Billionaires
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India’s AI Governance Framework Ensures Data Sovereignty Security
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It will operate under India-defined governance frameworks, ensuring full data sovereignty, security, and compliance. Read more:
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Foundation Model Concentration: AI Agent Ecosystem Risks
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Another core issue is the concentration of power. Almost all agents depend on 3 foundation model families (GPT, Claude, Gemini), creating potential concentrated points of failure across the ecosystem. There are also no established standards for how agents should behave on the
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American Public Fear Over AI Transcends Political Divide
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L’opinion américaine prend peur @TIME s’alarme L’opposition à l’IA se développe et transcende la coupure droite gauche Vous en pensez quoi ?
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The Future of Justice and AI Liability
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The future of justice:
"It wasn't me, your honor. My AI did it."
"What was the prompt exactly?" -
Avoiding Policy Safety Talks Makes AI Discussion Seem Smart
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When you said that you don't do policy or safety talks, I knew I liked you – this is a way for people who are not interested in AI to talk about AI and sound smart
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Debate over military use of AI models
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Hey @AnthropicAI
, I have a message for you: if you won't let the US military use your AI to fight our enemies, GO TO HELL. -
Strongest Governance Challenges for AI Development
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dev to dev: what's the hardest part of ensuring strong governance over AI? pic.twitter.com/RuIK2fg68y
— DataRobot (@DataRobot) 19 février 2026dev to dev: what's the hardest part of ensuring strong governance over AI?
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AI Model Autonomy Evaluation Beyond Pre-Deployment Assessment
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A central lesson of this work is that autonomy is co-constructed by the model, user, and product. It can't be fully characterized by pre-deployment evaluations alone. For full details, and our recommendations to developers and policymakers, see the blog:
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Agent API Risk: Security, Finance, and Production Deployment Frontiers
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Most agent actions on our API are low risk. 73% of tool calls appear to have a human in the loop, and only 0.8% are irreversible. But at the frontier, we see agents acting on security systems, financial transactions, and production deployments (though some may be evals).