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Frustratingly, the actual code it ran and exact details of what it did weren’t visible to me in the ChatGPT UI. I see this lack of transparency is an anti-feature.
OpenAI solving one of the most famous math problems is extremely impressive, and of little impact to most people's lives; Meta's Muse agent launch has the potential to be the exact opposite.
I think three of us have total conviction about the scaling law. That that I think we do. I do think the exact architecture choices and data mixtures is where the the devils are in the details.
The The point just being this is so not an exact science. And I always like to show either what a client asks for or what a programmer might have used as a placeholder because I've gotten so many good ideas that way.
Performance tests are highly specific and dependent on the exact machine it runs on, the exact third party libraries and their versions that are used, the other components involved in the tests, such as the servers, and more.
Take Eroom’s Law: the number of new drugs approved per dollar of R&D has fallen for decades, even as our scientific tools have grown vastly more powerful, the exact opposite of what the existence of more raw capability would predict.
like when you're writing you sort of you sort of know in order for it to be good, you have to have an element of the unpredictable. And it's it's not just like increasing temperature in your mind or something, right? It's like knowing exactly the correct point when you want to make an unpredictable move.
We need to flip it. We need to absolutely flip it, and we have to say, and this is what I always wanted to do with Nest, which is I want to remove displays, and we need to have voice as the number one primary feature, and you build around voice.
If you get your positioning right, the world just keeps handing you wins that you didn't even expect. So like we never predicted this exact scenario but like our fundamental understanding of the position was right. like if if there is a neutral party, all these companies with billions of dollars will kind of use a neutral party to advance their own like company's interests.
The competitive moat for a business right now is not the use of AI. It's human-originating, high-quality, high-fidelity data that other systems can't replicate - even if they implement the exact same features and are built by the same agentic systems.
Because Enthropic saw it before Google. And then Google had Nano Banano and Gemini 3 which caused their user metrics to skyrocket and leadership at Google was like oh and then they started making the statement of we have to double compute every is it 6 months or I don't remember the exact number that they said.
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