Recent submissions

Comment · 2 years ago
I use it as a fancy monitor that I can strap to my face and fits in a suitcase. sometimes I want to work lying down and it's great for that. It being based on ipados makes it kinda useless aside from the display.
Comment · 2 years ago
> Some of this complexity may be necessary for achieving optimal performance in Jax. E.g. extra indirection to avoid the compiler making some bad fusion decision, or multiple calls so something can be marked as static for the jit in the outer call

certainly some of it is but not the lion's share - I have a much simpler (private) codebase which scales pretty similarly afaict.

the complexity of Maxtext feels more Serious Engineering ™ flavored, following Best Practices.

Comment · 3 years ago
this is not even close to true
Comment · 3 years ago
I literally just don't feel like running them tbh, and see no reason to publish them either way. Mostly prefer to let the outputs speak for themselves.

For a while I was using an FID variant for evaluation during training, but didn't find it very helpful vs just looking at output images.

Comment · 3 years ago
OP was about classical statistical techniques. I'm pretty sure human artists are not logistic regression?
Comment · 3 years ago
lmao no. imagine trying to do text to image with anything other than deep learning. nothing else comes close.
Comment · 3 years ago
yeah we trained v5 on TPUs and continue to train on them.
Comment · 3 years ago
We didn't, v5 was trained on TPUs too
Comment · 4 years ago
... no it definitely wasn't. that's $50m. read the paper, they tell you how long it took on a v4-256, which you know the public rental price for.
Comment · 4 years ago
That wouldn't make sense - compression has very cache-friendly access patterns, and would benefit greatly from the observed improvements in memory bandwidth.
Comment · 4 years ago
SIMD - compressing has gotten faster, but (assuming OP is correct rather than just missing info) the reference algorithm didn't have room to take advantage of SIMD. The relevant improvements since 2010 or so mostly look like bandwidth improvements not latency, and coincide with increasing ubiquity of SIMD instructions and SIMD-friendly algorithms.
Comment · 6 years ago
the real issue is what you get when you google Scott [Lastname]. If the top result is an NYT story his patients will reliably find it, and that can be problems.
Comment · 6 years ago
why do you care about p2p? I sent money on PayPal US -> EU last week. it was as easy as sending it to someone in the US, and the fees were no worse than what I often see crypto exchanges charging.
Comment · 6 years ago
there almost certainly is an encoding such that every program any human will ever write fits in 128 bytes, though I doubt we'll ever design one. to convince yourself of this, notice that you don't expect to ever produce two programs with the same blake2 hash.

there's a lot of room for improvement in conciseness of code. I would still be surprised if it was meaningfully possible to write a full-featured modern OS with one page of APL

Comment · 7 years ago

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