AI

I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.

For the first time, it’s possible to provide a better product experience for a small number of users than for millions of users. But this isn’t an obstacle—it’s a big opportunity for startups. Big companies with millions of users literally can’t compete with you because there isn’t enough compute available in the world to provide a cutting-edge exp... See more

The only answer is to go narrow—really narrow. Pick a very specific use case and become exceptional at it. The cardinal rule of startups—building something people want—remains consistent in AI, but the bar is higher.

Sora currently works best as a complement to other AI content generation tools: Spin up a scene on Midjourney, generate a voice on ElevenLabs, and produce your video through Sora.

Down the line, the best founders will likely not be comparing foundation model capabilities, but rather the “build versus buy” decision to create scaffolding around large models (open or closed) for specific needs. The ability to point a model at a specific use case will become the most important problem in the value chain of AI, so foundation mode... See more

Calculator Analogy :

1. Before Calculators :
   
   
   • Mathematics involved tedious manual calculations, which consumed time and energy.
   
   
   • This focus on computation limited people's ability to explore abstract concepts, such as calculus, topology, or game theory, which require mental bandwidth freed from repetitive tasks.


2. After Calculators :
   
   
   • By automating basic ari

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As a startup, you can give each of your users a Ferrari-level product experience. Use the most expensive, cutting-edge models. Don’t worry about optimizing for cost. If doing five additional API calls (server requests to your LLM provider of choice) makes the product experience better, go for it. It might be expensive on a per-user basis, but you p... See more

Building in generative AI is like running on a treadmill while traditional tech moves at walking speed. This speed impacts everything from the technical problems you tackle to your timeline for reaching scale. While this acceleration should change your strategy, it doesn’t change the fundamentals of building a good product. You need to build someth... See more