newfocogi

5 ms·

31.
by newfocogi 2y ago
That was wild
32.
by newfocogi 2y ago
My guess is it's related to yield and/or large die sizes making them more susceptible to defects. I expect architectural changes in the Blackwell series matter more than performance improvements from process node.
33.
by newfocogi 2y ago
Now I'm curious. What kind of team are you running that they are receiving Steam Decks? Was this a reward or is your teams work related to it?
34.
by newfocogi 2y ago
I understand the physics of microwaves but haven't taken the time to understand when metal is dangerous — I tend to just always avoid it. Do you know of any resources that explain what scenarios belong in the "harmless" categ
35.
by newfocogi 2y ago
Wow! Thank you for posting this. I hope others see it too
36.
by newfocogi 2y ago
Looking forward to the Sandy Munro teardown!
37.
by newfocogi 2y ago
"SoftBank, OpenAI, Oracle, and MGX" seems like quite the lineup. Two groups who are good at frivolously throwing away investment money because they have so much capital to deploy, there really isn't anything reasonable to do
38.
by newfocogi 2y ago
Who/what is MGX? Google returns a few hits, none of which are clearly who is referred to here.
39.
by newfocogi 2y ago
> "OpenAI will continue to increase its consumption of Azure as OpenAI continues its work with Microsoft" Not sure why, but the word choice of "consumption" feels like a reverse Freudian slip to me.
40.
by newfocogi 2y ago
Admittedly to a fault, I tend to be quick to trust institutions and don't tend to be quick to believe conspiracies (not claiming that this is). With most of the additives to products that people seem to be worried about, I default to t
41.
by newfocogi 2y ago
I hadn't heard that this was likely to happen. Any Canadians here able to weigh on whether this was expected or is a normal procedure for your elected officials?
42.
by newfocogi 2y ago
Thank you so much for doing this work. I expect many NLP projects and organizations are going to benefit from this, and I'm looking forward to all the models that will be derived from this. I'm already imagining the things I might
43.
by newfocogi 2y ago
My outsider's understanding is Google is the only one whose custom silicon is the primary compute for their flagship foundation models. I didn't see any messaging about the Nova models being trained on Traininium (AWS), and Meta s
44.
by newfocogi 2y ago
Maybe some of these tasks are arguably not aligned with the traditional applications of CV, but Segmentation and Edge detection are definitely computer vision in every definition I've come across - before and after NNs took over.
45.
by newfocogi 2y ago
I prefer launches before holidays to launches after holidays
46.
by newfocogi 2y ago
I think they've announced they're headed to Atlanta in early 2025. So they may be testing there, but I don't believe they are at GA in GA :)
47.
by newfocogi 2y ago
Not author of the library, but the documentation lists the backends here: https://github.com/MinishLab/vicinity?tab=readme-ov-file#sup... So these are nearest neighbor search implementations, not database backends.
48.
by newfocogi 2y ago
How do you learn how to learn well?
49.
by newfocogi 2y ago
One of the massive benefits for Rust on Lambda is (as the author mentions) "extremely low start-up time, CPU usage and memory footprint". It's not clear to me if deploying Rust to Lambda via a docker image actually negates so
50.
OpenAI Realtime API: The Missing Manual(latent.space)
4 points by newfocogi 2y ago|0 comments
51.
by newfocogi 2y ago
AWS Trainium is a machine learning chip designed by AWS to accelerate training deep learning models. AWS Bedrock is a fully managed service that allows developers to build and scale generative AI applications using foundation models from va
52.
by newfocogi 2y ago
I'd be curious to know if being exposed to more conspiracy theories correlates to believing them. At the extremes, if I'd never seen a conspiracy theory before, it would be hard to identify it. And if everything I heard claimed to
53.
by newfocogi 2y ago
As an outside observer, I'm interested to see how poolside handles keeping up with their competition on two fronts. On one side, they're trying to build a better code model then the large labs (OpenAI, Anthropic, Microsoft). On th
54.
by newfocogi 2y ago
Wow, my initial thoughts on more jersey variation is "that's kinda fun, but sometimes they're ugly". I'm surprised you think it makes sport hard to be passionate about. I assume you're referring to football (so
55.
by newfocogi 2y ago
In this age of endless expertise, it's easy to be fooled into thinking someone is a true authority until you hear them speak on a topic you know well. There's a certain thrill in getting a glimpse behind the curtain, seeing the ma
56.
The future belongs to those who prepare like Dwarkesh Patel(meridian.mercury.com)
2 points by newfocogi 2y ago|0 comments
57.
by newfocogi 2y ago
Quantization schemes include post-training quantization (PTQ), SpinQuant, and QLoRA.
58.
by newfocogi 2y ago
TLDR: Quantized versions of Llama 3.2 1B and 3B models with "competitive accuracy" to the original versions (meaning some degraded performance; plots included in the release notes).
59.
by newfocogi 2y ago
For the group, because I can never keep the terms straight: Semaglutide is one specific drug within the class of GLP-1 agonists. Other examples include Liraglutide (Victoza, Saxenda), Dulaglutide (Trulicity), and Tirzepatide (Mounjaro, tho
60.
by newfocogi 2y ago
I'm enthusiastic about BitNet and the potential of low-bit LLMs - the papers show impressive perplexity scores matching full-precision models while drastically reducing compute and memory requirements. What's puzzling is we'r

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