The Framework for Trusted AI Commons was released at the #IndiaAIImpactSummit2026 with 22 partner countries, establishing shared principles for AI systems that are open, accountable, and trustworthy across borders. Details here: http://
impact.indiaai.gov.in/outcome-resour
ces
… #IndiaAI #TrustedAI
RESEARCH
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India launches Framework for Trusted AI Commons with 22 partners
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Grok 4.20: Parameter Count Doesn’t Guarantee Benchmark Dominance
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Parameter count and benchmark dominance aren't the same thing. Grok 4.20 proved that at 3 trillion parameters.
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Anthropic’s Internal-Public AI Capability Gap Exposed by Mythos
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The gap between what Anthropic uses internally and what gets released publicly is something every AI lab has. Mythos just made that gap visible and documented it in 244 pages.
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Equitable AI Transition Playbook Released at India AI Summit
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The Equitable AI Transition Playbook, developed in partnership with the International Labour Organisation, was released at the #IndiaAIImpactSummit2026, alongside the Voluntary Guiding Principles for Reskilling in the Age of AI, endorsed by 23 countries. Preparing the global
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AI Safety Concerns Block Broad Deployment Despite Strong Performance
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93.9% SWE-bench and a 27-year-old OpenBSD bug found autonomously and the decision was still not to ship broadly. That's a data point about how seriously the internal assessment of the risks was taken.
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Model Capacity and Data Memorization Risk in AI Systems
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Pero a mayor capacidad del modelo más riesgo de memorización.
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Volunteer needed for AI safety testing and vibe checks
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i volunteer to vibe check all of the super dangerous models on normal tasks @AnthropicAI @OpenAI put me in the game!
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Benchmarking AI Models: Balancing Accuracy with Cost Efficiency
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Aquí siempre en el equipo de Noam, ojalá más y más benchmarks se reportarán cruzando accuracy con coste!
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Anthropic Model Card: Evaluation Overfitting Risks Assessment
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2) Tal y como reportan en el propio Model Card hay riesgo de que estas evaluaciones hayan sido vistas por el modelo durante el pre-entrenamiento (a.k.a overfitting) y eso desvirtúa la interpretación de las métricas. Trabajo honesto el de Anthropic en la Model Card en muchos de
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Power as Status Symbol: The AI Model Release Dilemma
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the new status symbol is making a model so powerful you can’t release it