Google targets AI inference bottlenecks with TurboQuant

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on Gemma and Mistral models, the company reported significant memory savings and faster runtime with no measurable accuracy loss, including a 6x reduction in memory…

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Kill the loading spinner with local-first data and reactive SQL

It’s not every day that a radically new architecture comes along, but here we are: in-browser SQLite, combined with reactive SQL and auto-syncing. The promise is instant interactivity on the front end, while maintaining data symmetry with the back end. As a direct challenger to the RESTful group-think that has dominated web development for a…

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Working with the Windows App development CLI

In Vernor Vinge’s science fiction novel A Deepness in the Sky, one of the characters works as a software archaeologist, mining thousands of years of code and libraries to find the solutions to development problems. In that fictional far future, every problem has been solved at least once, often in many ways with different interfaces…

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Meta’s compute grab continues with agreement to deploy tens of millions of AWS Graviton cores

Meta is continuing its compute grab as the agentic AI race accelerates to a sprint. Today, the company announced a partnership with Amazon Web Services (AWS) that will bring “tens of millions” of AWS Graviton5 cores (one chip contains 192 cores) into its compute portfolio, with the option to expand as its AI capabilities grow….

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