Nicola Romanò @nicolaromano@qoto.org

Apparently #Clarivate's Web of Science, one of the major proprietary indexes that employers use to determine whether papers in a journal can be considered in tenure & promotion decisions, denied @joss 's request to be indexed without even telling us. This is not the first time JOSS has been rejected

I checked their "objective review criteria" and JOSS easily passes all the qualifications.

Speaking strictly as my own opinion, not in my role as a JOSS editor or reviewer, but as a matter of fact these indexers are a fucking racket.

https://github.com/openjournals/joss/issues/1283

Registration for posit::conf(2024) is now open: https://posit.co/conference/. It's going to be in Seattle, Aug 12-14, and we've tried really hard to make it more affordable this year, so I hope I can you see there in person! (We'll also have a virtual option; more on that soon)

if you remember using a cracked copy of nero to burn other cracked software onto cd, remember to do your gentle back stretches today

@nicolaromano These are great points. The difference is that sold engines were marketed as user driven tools, while LLMs as marketed to hype driven fools.

@BorisBarbour Interesting stuff! This highlights why it's so important to include the versions of all the software used for analysis. I find it so frustrating that this does not seem to be the standard across the board.

Even more egregious, some researchers don't even version their own code. I've spent quite a bit of time trying to convince them that this is critical. It's crazy to me!

Here is a quick #tutorial on how to build a #NeuralNetwork from scratch using #NumPy:

🌍 https://www.fabriziomusacchio.com/blog/2024-02-25-ann_from_scratch_using_numpy/

#MachineLearning

I never want to get to a point where I have to turn down random meetings with people asking for help with stuff. I take a meeting or two a week thats just like "how do I do this thing" or "how are you thinking about this" and they are often my favorite part of the (work) week. I have seen people on here host "open office hours" in a more structured way where they set aside an hour or two just for helping ppl with stuff, and I love that.

Thats one of those big hidden harms of overworked profs having to tend grants all the time, all that accumulated wisdom and no time to share it.

This is the single best article on color spaces I have seen around. Well written, well informed and illustrated with interactive visualizations.
If you only read one, this should be it. Truly brilliant work @eeeps!

https://ericportis.com/posts/2024/okay-color-spaces/

In case you were looking for another reason not to submit to MDPI (or its preprint service, preprints.org). Use bioRxiv.

There's a lot of speculation about whether OpenAI's video generation model #Sora has a 'physics engine' (bolstered by OAI's own claims about 'world simulation'). Like the debate about world models in LLMs, this question is both genuinely interesting and somewhat ill-defined. 🧵1/

Well, RIP nginx, long live freenginx: http://freenginx.org/pipermail/nginx/2024-February/000000.html

A thorough report of a software supply chain attack on the #PyTorch project using self-hosted GitHub runners. “Our exploit path resulted in the ability to upload malicious PyTorch releases to GitHub, upload releases to AWS, potentially add code to the main repository branch, backdoor PyTorch dependencies” https://johnstawinski.com/2024/01/11/playing-with-fire-how-we-executed-a-critical-supply-chain-attack-on-pytorch/

Cellpose V3 is out!
https://www.biorxiv.org/content/10.1101/2024.02.10.579780v1.full
#spatial #cellseg #pytorch #segmentation

Microsoft: I swear have no knowledge about you besides what you tell me.

Microsoft: I insist I have no knowledge of your location.

Microsoft: The weather in Parkville, Maryland where you are is sunny and 35 degrees.

@cyrilpedia

I wonder if the reviewer comment 'this was written by ChatGPT' is going to replace 'get a native English speaker to edit it'.

Reviewers, please, don't do either.

I get it, some papers are badly written. As a reviewer, you want to help the author convey their science, but either phrase assumes something that might not be true.

Just be factual in your review, 'I struggled to understand the conclusions because the writing was unclear.'

"Women in tech dispel a study which saw 80% of men surveyed in the industry saying there is gender parity. Here’s what women think about how things can improve."

Four in five men in tech say women are treated equally, as women criticise ‘invisible challenges’

https://www.euronews.com/next/2024/02/11/four-in-five-men-in-tech-say-women-are-treated-equally-as-women-criticise-invisible-challe