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NVIDIA DGX Spark updates boost agentic AI inference speeds 2.6x
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Is your infrastructure ready for the shift to agentic AI? Discover how the latest NVIDIA DGX Spark updates simplify local agent workflows and boost inference speeds by up to 2.6x using NVIDIA NemoClaw. Read the blog: https://
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We are in the recursive era of AI according to Cerebras
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We are in the recursive era of AI. Cerebras wrote an article about this from a hardware perspective in March: https://cerebras.ai/blog/why-the-ai-race-shifted-to-speed …
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The Recursive Era of AI: Fast Inference and Accelerated Development per Cerebras
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We are in the recursive era of AI.
Faster inference => faster AI development.
Our take on this from a hardware perspective:
https://cerebras.ai/blog/why-the-ai-race-shifted-to-speed
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Suleyman: Microsoft not a top AI lab, always intended
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“Microsoft is not a top AI lab, and that’s always been my intention,” says Mustafa Suleyman.
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Anthropic publishes research on accelerated AI and self-improvement
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ANTHROPIC : A new internal research has been published, highlighting an accelerated AI development and a potential path to recursive self-improvement. > Claude Mythos Preview could work for “at least” 16 hours and was “at the upper end of [METR] can measure.” > Today,
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Anthropic: Claude writes more than 80% of merged code
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We have just published internal data on the share of Claude's development that is already done by Claude: – More than 80% of all merged code in our codebase is now written by Claude – It has been months that many researchers at Anthropic
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Every learning algorithm is recursive self-improvement
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Every learning algorithm is recursive self-improvement.
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Anthropic’s codebase 80% authored by Claude AI in 2026
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"As of May 2026, more than 80% of the code we merge into Anthropic’s codebase was authored by Claude." Matches independent measures. There really is no sign this is slowing down (which doesn't mean there aren't organizational challenges to absorbing this much productivity gain)
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AI helps Anthropic research and train better AI, closing the loop
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Very interesting article from Anthropic about how, thanks to AI, they're able to streamline their process of researching and training better AI. Or as it's colloquially known: closing the loop