Obviously it's going to be more productive for a manufacturer to do a years-long curing test on 100 likely candidates instead of 100 random mixes. They obviously already screen candidates through traditional methods, but if this AI technique improves accuracy, all the better.
It's no surprise that people readjust their immediate reactions by expressing hostility and skepticism about anything AI-related without spending much time on analysis. In fact, it's an entirely rational repones.
Complaining about it without acknowledging the larger picture is disingenuous.
In this particular case, using the term "machine learning" would likely avoid the immediate negative reaction.
It’s really exhausting to feel negative all the time when faced with the cavalcade of terribly weak claims.
It does help, of course, that HN is moderated in good faith and has a more pervasive commitment to self-moderation than Reddit has ever had (outside a few very niche subreddits).
https://dailygalaxy.com/2026/03/rubber-used-in-undersea-tunn...