Ep 65 - DALL-E 3, Gen AI’s Second Act, AI Could Solve Labor Shortages, Microsoft Copilot Release
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Sequoia Insights
Sequoia Capital's insights into generative AI highlight the transition from technology demonstration to solving real human problems. emphasizes the rapid evolution of AI, noting that what was expected to take a decade happened in just six months 1. He reflects on the unforeseen speed of advancements, such as intern-level code generation and human-quality speech, which arrived much faster than anticipated. states, "Things happened quickly. So keep in mind, they published this, what, about 45 days or so before chat CHPT came out last year."
They said last year. We anticipated it would be nearly a decade before we had intern level code generation Hollywood quality videos or human quality speech that didn't sound mechanical. All of those things happened in like six months after they wrote this thing.
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This rapid pace underscores the importance of forming individual theses on AI's impact on business and careers 1.
AI Evolution
The evolution of generative AI is marked by a shift from proving technology to solving real human problems. explains that Sequoia Capital sees this transition as moving from Act 1 to Act 2, where AI applications are now focused on customer-centric solutions 2. These solutions use foundation models as part of comprehensive systems, enhancing user engagement and retention. notes, "Act two will solve human problems end to end."
These applications are different in nature than the first apps out of the gate. They tend to use foundation models as a piece of a more comprehensive solution rather than the entire solution.
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Despite the advancements, challenges remain in demonstrating value and finding use cases, but the potential for immediate benefits is significant 3.