Amazon custom silicon Updated 2025-07-16
Like Google custom silicon, Amazon server operations are so large that with the slowdown of Moore's law, it started being worth it for them to develop custom in-house silicon to serve as a competitive advantage, not to be sold for external companies. Can you imagine the scale required to justify silicon development investment that is not sold externally!
AMD CPU Updated 2025-07-16
They have been masters of second sourcing things for a long time! One can ony imagine the complexity of the Intel cross licensing deals.
AMD GPU Updated 2025-07-16
Procedural AI training game Updated 2025-07-16
We define a "Procedural AI training game" as an AI training game in which parts of the game are made with procedural generation.
In more advanced cases, the generation itself can be done with AI. This is a possible Path to AGI which reduces the need for human intervention in meticulously crafting the AI game: AI training AI.
aws-cli Updated 2025-07-16
N Updated 2025-07-16
Biasing Updated 2025-07-16
Nielsen-Ninomiya theorem Updated 2025-07-16
As mentioned at Video "Are we living in the matrix? by David Tong (2020)" somehow implies that it is difficult or impossible to simulate physics on a computer. Big news!!!
Exam as a service Updated 2025-07-16
This is Ciro Santilli's name for the idea that we should not have structured degrees at university that require entry exams, only tests that anybondy could take, likely for free, and then they would just have proof that they know the stuff for e.g. teachers that care about a subject while selecting students to work with them in research.
We just need control rooms where someone can watch students for cheating. Multiple different exams can be taken in the same room of course, students just have to sign up in advance. The exams should happen regularly depending on demand. E.g. extremelly common subjects should happen every month, and highly specialized ones every 6 months or 1 year.
Questions should be always taken from an open question pool which also contains answers, thus allowing anyone to effectively study for it.
How many questions can you actually come up with about a given non research subject, right?
We then make an API available, so that students can grant access to specific results to anyone they choose, or even make the results public for anyone to see. This way the people that care about the exams can just machine learn what exams correlate with their desired performance.

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