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OpenAI releases GPT-6 Astra, its most capable model yet, while claiming the world has entered the artificial general intelligence era.
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Stanford HAI's 2026 AI Index shows capability accelerating, the U.S.-China gap closing, and responsible AI lagging behind.
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From agentic AI to the AI bubble, MIT Technology Review and other experts outline the trends shaping AI this year.
The strongest signal in late-2026 AI isn't a benchmark winner — it's the shift from chat models to long-running agents and operational safety controls.
Enterprises are reorganizing workflows around AI agents that execute intermediate steps while humans handle judgment and exceptions.
From fabricator concentration to custom inference chips, the hardware behind AI is becoming both more concentrated and more diversifying.
From AlphaEvolve to AI-generated hypotheses, machine intelligence is becoming a genuine partner in scientific discovery.
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From the EU AI Act to critical capability thresholds, governing frontier AI has become as important as building it.
From 24/7 personal shoppers to AI-orchestrated super agents, generative AI is reshaping commerce and daily work.
AI models can win a math olympiad yet can't reliably read a clock. Understanding the jagged frontier is key to using AI well.