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I have an idea for optimizations using a dedicated backend for pytorch. It only applies to eager mode execution. From my understanding, eager mode is used for development and debugging. Are there real production workloads that work in that way ? I assume people optimize by compiling graphs using JIT but then again, people are lazy...

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Postgres rewritten in Rust v0.2, now faster than Postgres and ClickHouse

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AI coding agents should optimize for less owned code

Octane JavaScript

Mandelbrot-2: C++ visualizer with perturbation theory up to 1e-308

SpaceX Looks to Compete with the Carriers

Openinterpreter: Terminal coding agent built for low-cost models

I built a free deepfake detector that works directly from social media URLs

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AI and the Enshittification Era W Cory Doctorow – Weekly Show with Jon Stewart [video]

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