lnyan

Can it detect when it itself is down

normalizing flow might be unpopular but definitely not a forgotten technique

Note that it's very likely that Veo models are based on "Flow Matching" [1]

[1] https://arxiv.org/abs/2210.02747

I just pre-ordered a Bigme 13-inch color e-ink monitor with a 30Hz refresh rate. At $499, it's much cheaper than the Dasung, though the quality and e-ink display algorithms might not be as good

I've been using a BOOX Tab Ultra C Pro (with the Kaleido 3 color e-ink) for a year. The colors are quite dim, to the point where I sometimes forget it's a color e-ink display. The Colorsoft display looks significantly better in comparison (even seems to have better contrast than ClearInk?), so I'm curious how it works.

Slightly off-topic: Is there a library in JAX that supports post-training quantization, similar to the one mentioned?

The post was moderated within 10 minutes of being submitted: https://news.social-protocols.org/stats?id=40710417

pure css without background-image also works: https://css-shape.com/film-strip/

Seems that pasteurization cannot completely inactivate H5N1

In addition to the mice studies, the researchers also tested to determine which temperatures and time intervals inactivate H5N1 virus in raw milk from dairy cows. Four milk samples with confirmed high H5N1 levels were tested at 63 degrees Celsius (145.4 degrees Fahrenheit) for 5, 10, 20 and 30 minutes, or at 72 degrees Celsius (161.6 degrees Fahrenheit) for 5, 10, 15, 20 and/or 30 seconds. Each of the time intervals at 63℃ successfully killed the virus. At 72℃, virus levels were diminished but not completely inactivated after 15 and 20 seconds

`import jax.numpy as np`, then we also get a jax implemention after certain modifications: e.g. remove in-place index assignment, replace unsupported functions, etc

You can use mailchannels to send emails with cloudflare workers

https://blog.cloudflare.com/sending-email-from-workers-with-...

no, I think it might be

- LLM(prompt_0) = arch/spec of LLM

- LLM(prompt_1) = full weights of LLM

Note that it does not conform the definition of quine as a quine takes no input.

Anyways, constructing a transformer that can autoregressively output its weights would be quite interesting.

Just wondering if it's possible to achieve LLM quine.

Will there be Gemma-vision models or multimodal Gemma models?

This is bad news for me. I am working on a simliar project (gaussian splatting + dynamic scene). Our method is different with the mentioned 4D gaussian splatting, but I am unsure shall I continue or not.

For the country one, I got "www.google.com/maps/embed?pb=!4v1687119352692!6m8!1m7!1sINHBz4HdSwMAAAQrBnftjg!2m2!1d9.080961517214682!2d7.524398838108427!3f84.34!4f-4.950000000000003!5f0.4000000000000002"

I think it should be 9.08N, 7.52E and it works

https://github.com/koreader/koreader

koreader has a pdf reflow mode

Previous post: https://news.ycombinator.com/item?id=25244872

Also check out Alyssa Rosenzweig's "Dissecting the Apple M1 GPU" series

- https://rosenzweig.io/blog/asahi-gpu-part-1.html, https://rosenzweig.io/blog/asahi-gpu-part-2.html, https://rosenzweig.io/blog/asahi-gpu-part-3.html

- https://rosenzweig.io/blog/asahi-gpu-part-4.html, https://rosenzweig.io/blog/asahi-gpu-part-5.html, https://rosenzweig.io/blog/asahi-gpu-part-6.html

Seems that HN automatically replaces "MiSTer" with "Mister" when I submitted this post

https://pytorch.org/docs/stable/jit.html

For PyTorch, `+=` is interpreted as an in-place operation

Use stable diffusion for image compression

Store stable diffusion model in the π file system (https://github.com/philipl/pifs)

"Almost zero overhead in terms of data storage"

Right. Just checked the code, the numbers are layouted by

  transform:translate3d()

A retrospective case-series study from Israel:

Long COVID-19 Liver Manifestation in Children https://journals.lww.com/jpgn/Abstract/9900/Long_COVID_19_Li...

Recent discussion:

https://news.ycombinator.com/item?id=31143327

Previous discussion:

https://news.ycombinator.com/item?id=28245277 (community version)

https://news.ycombinator.com/item?id=19716019 (3Blue1Brown's version)

Discussion from this paper:

  "Although BA.2 is considered as an Omicron variant, its genomic sequence is heavily different from BA.1, which suggests that the virological characteristics of BA.2 is different from that of BA.1. Here, we elucidated the virological characteristics of BA.2, such as its higher effective reproduction number, higher fusogenicity, higher pathogenicity when compared to BA.1. Moreover, we demonstrated that BA.2 is resistant to the BA.1-induced humoral immunity. Our data indicate that BA.2 is virologically different from BA.1 and raise a proposal that BA.2 should be given a letter of the Greek alphabet and be distinguished from BA.1, a commonly recognized Omicron variant."

Reviews and authors' responses of this paper: https://openreview.net/forum?id=z71OSKqTFh7

Previous post:

The OBS project has accused Streamlabs of copying their name and trademark https://news.ycombinator.com/item?id=29249766