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Kevin Immanuel Gubbi
@kevingubbi
PhD UCDavis ECE Chips - Cybersecurity - AI ex-samsung_research ex-amd SF Bay Area
加入 June 2026
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I think @PGelsinger's point actually hints at something much bigger. A lot of today's chip design workflows, tools, and abstractions were built around the limitations of humans and traditional algorithms. AI could fundamentally change those assumptions. And when the assumptions change, entire industries become ripe for disruption!! From EDA and verification to manufacturing and packaging, this might be one of the most exciting times in decades to build disruptive deep tech. We shouldn't just be asking how AI makes the existing flow faster. We should be asking how much of that flow needs to exist in its current form at all.
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