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OpenAI 7 years ago 49
Researchers found that gradient noise scale, a statistical measure, predicts how well neural network training can be parallelized across different tasks. Complex tasks generate noisier gradients, which means larger batch sizes will become practical as AI systems grow, potentially removing a scaling constraint. This finding suggests AI training can be treated as a systematic discipline rather than an unpredictable process.
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27 October 2026
Anthropic’s S-1 filing turned the IPO story into a compute story. In the paperwork for a Nasdaq listing under ticker ANT, the company reported $16.3 billion in revenue for the first half ended June 30—up from $1.16 billion a year earlier—and also made the bill for future growth unmistakably real. Anthropic disclosed at least $475 billion in future cloud compute purchases, including $389.9 billion pledged to major partners such as Amazon, Alphabet/Google, SpaceXAI, and Microsoft. Customers, meanwhile, can walk away with limited notice, which means Anthropic’s margins and cash flow are now exposed to a familiar AI equation: steady demand needs to keep matching committed spend.
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