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This Week in Startups · September 15, 2025 · 60m
Lightmatter: Photonic Computing for AI
Nick Harris of Lightmatter explains photonic computing — using light instead of electrons for AI computation — and why it could break the energy and heat barriers of traditional chips.
This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.
Canon
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Harris explains that the physical environment of electronic computing (heat dissipation, power consumption) is becoming the primary constraint on AI progress, not algorithm design.
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Every improvement in compute efficiency is immediately consumed by training larger models, meaning the demand for compute never feels satisfied regardless of hardware advances.
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