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Posted by outlier99 1 hour ago

Opus 5.5 agents discover two room-temperature magnetic semiconductor candidates(www.vals.ai)
103 points | 88 commentspage 2
lifeisloving 1 hour ago|
The people who wrote this seem to be lacking in expertise, and its just a model benchmarking company..Whos every article is just hyperbole about llms.

Not sure why we're calling it a discovery, when they've literally been made before, by a human.

randbyte 1 hour ago||
Who is vals.ai and why they keep submitting eye-catching claims. A few weeks ago they said fable 5.1 solved some obscure cipher and now opus 5.5 found room temperature semiconductor candidates. Meanwhile they seem to be in the business of making benchmarks.

Are they a promoter / influencer for Anthropic?

contemporary343 53 minutes ago|
It's an evals platform. The problem is to promote evals in scientific domains you need to actually know something about them. Otherwise you end up with slop like this.
contemporary343 48 minutes ago||
Finding some new combination or iteration in the literature and running DFT is the kind of thing a senior undergraduate or first year grad student typically does (and typically with Claude anyway these days). (And yes, they'd probably use Quantum Espresso to start, like this writeup and its agent does). They'd probably show it at a weekly lab meeting where it would get ripped apart. And they would not be blasting a preliminary calculation around the world as if they'd made a new discovery.. but hey, we're in a brave new world; maybe they should!
WesBrownSQL 45 minutes ago||
I've got a friend who has been doing this research since the 90s. There is real money involved in this. This isn't like a math proof with a 1mm dollar payout. I seriously doubt this discovery. Until they show it working, I call bullshit. A room-temperature semiconductor is worth WAY more than an AI company.
colijobles 1 hour ago||
While we should be skeptical until made in a lab or verified by others, this is a much better use of LLMs than solving math theorems/conjectures
nrmitchi 1 hour ago|
This is frankly one of the best uses of LLMs (along with proposing and evaluating drug therapies), and I think it's (at least partially) because these are things that will only work in the hands of people who are already experts and motivated in the field. The proposed thing is validate (or not validated), and then everyone moves on (either using the cool new thing, or knowing that it doesn't work). I'd also throw robotics in here.

The fact that the major "uses" of LLMs have been contributing to the acceleration of the dead internet theory, and building millions of versions of the same apps that no one is going to maintain, is extremely sad.

matthova 1 hour ago||
Sounds interesting. Excited to see physical versions of this cooked up. Also, very excited for a world a few years from now where we can talk about accomplishments like this from the frame of the driver of the AI, rather than hype that AI helped.
postepowanieadm 1 hour ago||
Discovered in whose data?
hbn 1 hour ago||
All research is built off the existing body of all research data done by other people
einpoklum 1 hour ago||
I would image it's the data the researchers fed the agents and in which a discovery was likely. Especially since it's "candidates", so it's not like a proper discovery.
einpoklum 1 hour ago||
This should probably read: "Researchers discover two room-temperature magnetic semiconductor candidates. They used Opus 5.5 agents to perform some checks."
poulpy123 57 minutes ago|
Lmao, anything goes
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