Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding

18 insights saved from this video by @business

@business
AI-generated software can justify substantial usage spending when it accelerates progress at a tiny fraction of conventional development costs.
@business
A brownout in Taiwan could cause more economic damage than the Great Depression without a single shot being fired.
@business
A semiconductor fab that loses power takes about 90 days to restart, turning a brief outage into months of disruption.
@business
Nvidia did not predict Bitcoin mining or AI’s resurgence. Communities discovered its hardware was the best available solution.
@business
In 2001, TSMC produced five times as many wafers as Intel, not merely 10% more.
@business
Jevons paradox means cheaper, better AI can drive total consumption higher even when every token costs less.
@business
Quantum computing could threaten today’s encryption around 2032 or 2033, not immediately.
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Businesses generating more than $1 million in revenue are already running on Lovable.
@business
Nvidia became a general-purpose computing company by steadily improving CUDA and SIMT, not by relying on hardware alone.
@business
As engineering becomes less of a bottleneck, the harder question becomes what to build instead of how to build it.
@business
TSMC separated chip design from manufacturing by standardizing processes, design kits, and tools for a broad ecosystem.
@business
Lovable routes each request to the model best suited for the task, mixing frontier and open-weight models.
@business
Technology companies need technologists running technology, hiring technologists, and pursuing future categories before they look obvious.
@business
Rapid parallel experimentation keeps teams from getting trapped in a local optimum, letting them compare entirely different solutions.
@business
Many people or agents solving one problem differently create competitive variation that teams can transfer and test.
@business
AI’s value is enormous: more intelligence can improve supply chains, finance, logistics, and countless other systems.
@business
Classical computing, AI computing, and quantum computing together are expected to unlock especially significant advances.
@business
Lovable is built for the entire spectrum of users, with software creation aimed at the 99%, not just professional developers.

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