Date: September 22nd, 2026 8:24 AM Author: Big chestnut french chef
Instead of generating text like a normal LLM, you give it some state or context plus a defined question, and it returns a typed decision such as a choice, score, or probability. It is extremely cheap and fast, the decision quality is extremely good for the cost, and it was created by one of the gpt-coinventors.
Date: September 22nd, 2026 9:12 AM Author: Big chestnut french chef
It's not for replacing judgement in your own life. It is for software and automation. It's insanely powerful and makes decisions at faster than human perception, can be used to automate almost any workflow. llms now are smart but they are slow and expensive. You have to wait for it to parse and generate language. If you add this to your software and agent flows you can run deeply embedded automation.
Date: September 22nd, 2026 9:16 AM Author: Big chestnut french chef
You can give it ordinary language for the input and the output is a typed decision with probabilities. Probably not as useful if you aren't using it for software or automation. I guess you could technically use it for a second opinion on irl decisions.
Date: September 22nd, 2026 9:30 AM Author: supple property
i'm building a program but i just have no way to judge the code that it's building except by how it performs, i don't actually look at the code b/c it's meaningless to me