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DeepMind appears to be reshuffling its priorities in a significant way. The team behind AlphaFold, the protein-folding system that earned a Nobel Prize and reshaped biological research, has reportedly been disbanded as the company redirects resources toward its Gemini AI models. It's a striking trade-off — setting aside a tool with clear scientific impact to chase the broader generative AI race.
On the infrastructure side of that same race, Meta is spending heavily just to keep its GPUs from sitting idle. The company rebuilt its storage architecture and deployed SSD caching to solve a surprisingly mundane bottleneck — slow data loading was leaving enormously expensive AI hardware waiting for minutes, sometimes hours. The fix cut those delays dramatically, and Meta is now describing its storage layer as, in their words, a disk in a planet-scale computer.
And for anyone who writes technical documentation for a living, a framework called Diataxis has been quietly gaining serious traction on Hacker News. It proposes that all documentation falls into four distinct types — tutorials, how-to guides, explanations, and references — and that mixing them up is the root cause of most confusing docs. Simple idea, but the community response suggests it resonates deeply.
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