x_may

5 ms·

1.
by x_may 4mo ago
Yeah, but this is partly due to there being a shortage of entry level GPUs for consumers. NVIDIA has literally stopped manufacturing them. There are massive numbers of data centre GPUs sitting in hyperscaler warehouses waiting to be deploye
2.
by x_may 6mo ago
KV cache compression, so how much memory the model needs to use for extending its context. Does not affect the weight size.
3.
by x_may 7mo ago
Isn’t there also basically 0 American DRAM?
4.
by x_may 7mo ago
The 80/20 rule always wins
5.
by x_may 7mo ago
I just wanted deterministic outputs and was curious how you were doing it. Sounds like probably temp = 0, which major providers no longer offer. Thanks for your response.
6.
by x_may 7mo ago
Wait sorry how did you use and expose seeds? That’s the most interesting part of your post
7.
by x_may 8mo ago
It might have been explicitly targeted, but they did say that there were older versions of Notepad ++ with ""insufficient update verification controls" so it might have just been there was only one subset of users actually su
8.
by x_may 8mo ago
I believe the what the parent comment was referring to is the advice not to praise character, but instead praise hard work. “You’re so smart” leaves room for failure when they encounter something that challenges their image of being smart.
9.
by x_may 1y ago
I think it’s also largely driven by the apparently cheapness of turning the CapEX of server buying to the OpEX of cloud renting. Less up front investment and auditing/access controls for SoC2 compliant are so much easier m.
10.
by x_may 1y ago
Unfortunate name collision on that one
11.
by x_may 1y ago
Obviously its not at the scale of the top auto-regressive models yet but there are some OSS models https://github.com/dllm-reasoning/d1
12.
by x_may 1y ago
It may be that it was time for the hardware that was previously running Arxiv to be retired and this is just another Capex -> Opex decision being made by so many tech companies. I'd like to know if GCP is covering part of the bill?
13.
by x_may 2y ago
I believe they are using scalable TTC. The o3 announcement released accuracy numbers for high and low compute usage, which I feel would be hard to do in the same model without TTC. I also believe that the 200$ subscription they offer is jus
14.
by x_may 2y ago
The LMSYS leaderboards are crowdsourced and would be hard to fake, it showing a pretty strong performance in terms of human preference.
15.
by x_may 2y ago
Captcha solvers as a service are already well developed. The end result is going full circle to in person applications only.
16.
by x_may 2y ago
Tragedy of the commons at work once again
17.
by x_may 2y ago
There’s black sand! Volcanic sand from Iceland is perfectly black and would be a great way to distinguish them
18.
by x_may 2y ago
I think right now they lose more money with each user. But maybe their value lies in training data
19.
by x_may 2y ago
Not as much as meta, no. But AI21 labs is partnered with Amazon and did a ~$200M funding round last year IIRC so still plenty of funds for training big models
20.
by x_may 2y ago
As another commenter said, this has no GGUF because it’s partially mamba based which is unsupported in llama.cpp
21.
by x_may 2y ago
We’ve all had moments like that
22.
by x_may 2y ago
Check out Nougat from meta
23.
by x_may 2y ago
Sell them and invest the money