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Weights in the Silicon — August 7, 2026
A chip startup claims 48x faster inference by etching model weights into silicon. A capable model just became free and unlimited for anyone with a browser. Faster hardware, cheaper access, opposite directions. We go through the AMD-Taalas deal and what model-specific silicon means for inference, the GPT-5.6 Luna and Sol split and why you should test your workloads before your next demo, Meta's preprint on multimodal training at 5% of typical compute, and the GitHub Actions outage that broke CI pipelines across the industry today.
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