PhilipVinc
PhilipVinc on Hacker News
Mistral AI wants to turn European AI sovereignty from a talking point into a product — one with a service-level agreement attached.
Posted by
PhilipVinc on Thursday August 13, 2026 @05:17PM
from the venturebeat.com dept.
Posted by
PhilipVinc on Thursday April 16, 2026 @12:23PM
from the github.com dept.
I have been trying to use Jax on AMD/ROCM since 2023 and still can't because of the countless ROCM bugs and terrible response time of their team.
I wish AMD could succeed, I really do. I'm all for competition and having someone stand up to NVIDIA.
But 3 months I found that on AMD MI250x linear algebra operations like svd or eigh are 10x to 40x times slower than on NVIDIA A100, a gpu with 20% of the MI250x stated TFLOPs
I reported it, and I got a vague response. 3 months later the bug is still largely there, and AMD still does not offer a clear message.
I understand AMD is prioritising their ML customers who only use matrix multiplications, but as AMD somehow managed to convince France to buy HPC supercomputers from them, they should be honest and commit to a decent support.
Posted by
PhilipVinc on Tuesday June 06, 2023 @04:52AM
from the developer.apple.com dept.
Posted by
PhilipVinc on Thursday June 09, 2022 @05:59AM
from the github.com dept.
So now we can program on the iPad, but only with Apple’s approved language, on its approved ide.
Can’t a government go there and knock the wall down?
Papers today are longer than ever and full of jargon and symbols. They depend on chains of computer programs that generate data, and clean up data, and plot data, and run statistical models on data. These programs tend to be both so sloppily written and so central to the results that it’s contributed to a replication crisis, or put another way, a failure of the paper to perform its most basic task: to report what you’ve actually discovered, clearly enough that someone else can discover it for themselves.
Posted by
PhilipVinc on Monday December 13, 2021 @04:42PM
from the theatlantic.com dept.
That's incorrect.
If you work with mid-sized neural networks and MCMC sampling, allocations start to play a significant role (And Flux.jl is bad at preallocation).
Prealloc.jl does not work properly. Zygote.jl adds even more allocations to the mix...
Jax/XLA completely solves this problem. Yes, it's annoying that you have to work with a static graph but if your problem fits the description... it's great.
I doubt that in any realistic metric C popularity can go down by 6% in only one year. It’s simply too big.
Posted by
PhilipVinc on Sunday September 19, 2021 @01:19PM
from the pavillon-arsenal.com dept.
Isn’t this roughly what Julia does?
Shooting the rocket would probably generate more CO2 then you are sending to space...