This model has been in testing for 3 years and it passed all tests so far.
It already past sevral test and it solves a lot of problems that require dark energy or matter. And problems introduced by the James Webb telescope. It also confirmed cosmic chronometer findings on the expansion history.
It does not disprove models, it just shows that dark matter and energy are not needed and explains why we can’t find them.
Isn’t CERN now using mistral to help them sort the data out of the noise which is helping discover new particles? The partnership was just announced one month ago so it probably hasn’t resulted in anything yet.
I don’t like generative AI, but this is something it’s really good for. The whole basis of the systems is statistical predictions. It’s really good at taking in a bunch of data and piecing together things that fit. This is also something humans are not good at.
AI is a tool. It’s usually used to just replace jobs, and it’s shit. Using it for things like this is actually very good though.
Yep, I don’t have anything against the machine learning that scientists in places like these do, but let’s be honest it ain’t ai and their models are probably a lot more focused and built by people who, hopefully, know what their actually doing and know how they can verify what’s coming out of them.
Yeah, ML is the better term, but AI is the term everyone knows, as annoying as that is.
This looks like a partnership between CERN’s IT Department and Mistral. The physics work happens elsewhere 🙂
Having more data is always good for statistics. Processing with dedicated algorithms is then hamstrung by the cost of memory, disks, and GPUs 😑