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Most RecentSam Altman: I probably can't run OpenAI's next phase — maybe an AI can
Sam Altman says OpenAI's third phase as a 'token factory' may need a new CEO — or an AI one. He also reveals an eight-month limbo after finishing GPT-4.
Anthropic Eyes $900B+ Valuation, Poised to Leapfrog OpenAI
Anthropic is considering a funding round that would value it at over $900 billion, surpassing OpenAI's $852 billion valuation and making it the world's most valuable AI startup.
Meta beats earnings but gets punished for AI spending spree
Meta crushed Q1 earnings expectations, but investors punished the stock after the company revealed plans to spend up to $145 billion in 2026 on AI infrastructure and lay off 10% of its workforce.
Microsoft earnings beat expectations as Azure jumps 40%
Microsoft's Q3 earnings beat estimates with Azure growing 40% and AI revenue soaring 123%. The company reported $82.9B in revenue and $31.8B in net income.
Google crushes Q1 earnings on cloud growth, YouTube ads stumble
Google's Q1 earnings blew past estimates on cloud revenue of $20.02 billion, but YouTube ad sales fell short. Net profit soared 81% to $62.57 billion as the company doubles down on AI infrastructure.
Qwen's FlashQLA speeds linear attention by 3x, 5x over FlashInfer
Qwen open-sourced FlashQLA, a high-performance operator library for linear attention, claiming up to 3x forward speedup on H200 over FLA Triton kernel and up to 5.33x over FlashInfer in multi-GPU setups.
Google search hits record high as AI fears prove overblown
Alphabet's Q1 earnings crush expectations as Google search volume hits an all-time high, directly challenging the narrative that AI chatbots are killing search.
Sam Altman declares AI safety obsolete, coins 'AI resilience' instead
Sam Altman says AI safety is outdated and introduces 'AI resilience.' He also reveals that AI agents can infect each other and that he's already surrendered one of his computers to OpenAI's Codex.
Altman practically confirms training models on pure AI data
OpenAI CEO Sam Altman practically confirms training models on purely synthetic data, arguing math doesn't require human input — but culture and values still do.
Ant Group’s trillion-parameter Ling-2.6-1T thinks fast and spends less
Ant Group's Inclusion AI has open-sourced the Ling-2.6-1T flagship model with 1 trillion total parameters, activating only 63B per inference. Under MIT license, the MoE model features a 'fast thinking' strategy that cuts token waste.