The layer that can route to the best AI model for the particular job is going to increase in value substantially. There are at least 3 big reasons: * Cost optimization: there are plenty of use cases where you need frontier intelligence for some tasks and something far cheaper for others. Even in the same task you may use frontier intelligence for planning and review of the work, but an OSS or cheaper model for the bulk of the workload. This is going to be standard across large buckets of work going forward. * Capability maximization: despite the bitter lesson and models generally getting better in the same direction, there are still lots of differences between models. Some are better at tool use, others better at coding, and others again better at certain domains of knowledge work. The ability to route between these at different times is a huge advantage. * Risk mitigation: while the Fable situation is somewhat of a black swan, it’s possible we’re heading toward a regulatory environment where governments may restrict models at different times based on their approval mechanisms or new things they discover. This means you’re going to want flexibility in being able to deploy workloads across different providers as a form of risk mitigation. Ultimately, it’s going to increasingly be a a strategic advantage for the applied AI layer that they can effectively route between models. Will be very interesting to see how this evolves.

How to Earn a Billion Dollars: paulgraham.com/earn.html

La vie est simple: - Job: Scientist, building AI with @Universe_ai21 - Loisirs: Livres, Football, Musique et bcp d’autres choses. -Parler de la gouvernance , de la finance c’est de la stratégie. - Intervenir face à des competiteurs parce que c’est avant tout idéologique.

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One person helped build companies spanning electric vehicles, space exploration, brain-computer interfaces, AI, and underground transportation. The combined value created is measured in trillions. That's not just wealth creation. That's industrial-scale innovation.

Palmer Luckey’s advice for founder-led communications “My advice to people would probably be to recognize that the value of your reputation is very high,” Anduril founder Palmer Luckey begins. “If people do not trust you; if they do not believe in what you’re saying; if they do not think that you’re a person worth listening to, they’re going to have a hard time working with you.” Palmer also argues that founders don’t need to be neutral: “You don’t need to be neutral. You can be a propagandist. You can advocate for a particular point of view . . . In general, people should recognize that if you say something where you caveat it and hedge it and basically end up saying something that most people would agree with, you might as well have said nothing at all.” He continues: “You are not going to build a following of people who say, ‘I just love Palmer’s right-down-the-middle, very-hedged takes that everyone agrees with.’ If you’re just restating common sentiment, it’s not going to get you anywhere . . . So one of the things I tell people is, ‘Make sure that when you’re saying something, you’re SAYING something. Make sure you’re trying to persuade and affect change.’ — maybe not in everybody, but in some people. If you make some people love what you’re saying and some people hate what you’re saying, that’s a lot better than having everybody lukewarm agree with you. Don’t waste your time communicating about the things everyone already agrees with you on. Focus on the things where you need to change their mind.” Source: @lulumeservey (Sep 2025)