56
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 30 Sep 2025
56 points (98.3% liked)
technology
24039 readers
196 users here now
On the road to fully automated luxury gay space communism.
Spreading Linux propaganda since 2020
- Ways to run Microsoft/Adobe and more on Linux
- The Ultimate FOSS Guide For Android
- Great libre software on Windows
- Hey you, the lib still using Chrome. Read this post!
Rules:
- 1. Obviously abide by the sitewide code of conduct. Bigotry will be met with an immediate ban
- 2. This community is about technology. Offtopic is permitted as long as it is kept in the comment sections
- 3. Although this is not /c/libre, FOSS related posting is tolerated, and even welcome in the case of effort posts
- 4. We believe technology should be liberating. As such, avoid promoting proprietary and/or bourgeois technology
- 5. Explanatory posts to correct the potential mistakes a comrade made in a post of their own are allowed, as long as they remain respectful
- 6. No crypto (Bitcoin, NFT, etc.) speculation, unless it is purely informative and not too cringe
- 7. Absolutely no tech bro shit. If you have a good opinion of Silicon Valley billionaires please manifest yourself so we can ban you.
founded 5 years ago
MODERATORS
can't wait to read about how this is fake / wildly exaggerated in a week
I read about it a bit ago, I don't think it's fake but it's not "ai-generated". Basically the model is given a bunch of data, and due to it not having like a humans bias of what a virus is supposed to look like to be stable, it comes up with bizarre variations of an existing strain that wouldn't likely be thought up of without being able to look at, and process, all the data at the same time. Some of those variations ended up being stable, which surprised the researchers.
This is my recollection of a sub stack on it I read a week or two ago.
This also isn't that surprising, this is the thing models are good at. Analyzing raw data.
it is kinda what they do right? take a bunch of data, and throw shit at the wall to see what sticks statistics-wise. it shouldn't be THAT surprising that some of the viruses ended up being stable
Yeah exactly. It's cool actually, the problem with AI is that grifters run the show in the US versus anything wrong with the tech itself