que-encrypt

5 ms·

1.
by que-encrypt 1y ago
I am a high schooler, and easily got a tpuv4-64. No fancy school or edu email address, just a dream of winning geoguessr. They are very receptive to emails, I asked for more and they got more for me.
2.
by que-encrypt 1y ago
My guess is that the slight overhead of interacting with mojo led to this speed discrepancy, and if a higher factorial (that was within the overflow limits etc) was run, this overhead would become negligible (as seen by the second example).
3.
by que-encrypt 1y ago
jax is very much a working (and in my view better, aside from the lack of community) software support. Especially if you use their images (which they do). > > Tensorflow They have been using jax/flax/etc rather than tensorfl
4.
by que-encrypt 1y ago
zed remote ssh on windows would push me to it instantly, unfortunately it relies upon this pr being merged (I think, would love more input): https://github.com/zed-industries/zed/pull/29145 It is finally at t
5.
by que-encrypt 1y ago
pytorch xla is barely supported in the pytorch ecosystem (for instance, pytorch lightning still doesn't easily support tpu pods, with only a singular short page about google colab v2-8 tpus that is out of date. Then there are the vari
6.
by que-encrypt 1y ago
Thank you, it took a lot of time to come up with it
7.
Speedier.watch: A study on the impacts of 2x video watching(speedier.watch)
2 points by que-encrypt 1y ago|2 comments
8.
Show HN: GeoGuessr AI that crushes o3 and humans(locate.photos)
2 points by que-encrypt 1y ago|0 comments
9.
by que-encrypt 1y ago
Jax: https://docs.jax.dev/en/latest/_autosummary/jax.jit.html