| ▲ | kevin_thibedeau 4 hours ago |
| > As a result, producers need a way to rapidly explore and validate new formulations without spending months in the lab. How do you bypass the normal process of pouring test articles and testing them months and years after cure? This is fundamentally a research activity that needs to conduct verifiable science. Not something you can guess at with an LLM. |
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| ▲ | sebastianeament 4 hours ago | parent | next [-] |
| Hi, I developed the model. We are not bypassing the regular testing process, and are not using LLMs, but Gaussian processes with vetted test data. The predictions are used as recommendations for onsite testing, to accelerate finding mixtures with optimal strength-speed-sustainability trade-offs. |
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| ▲ | Isamu 3 hours ago | parent | next [-] | | That’s helpful. So instead of a much larger test matrix you are using a model to reduce that to the most likely candidates, right? | | | |
| ▲ | camillomiller an hour ago | parent | prev [-] | | [flagged] |
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| ▲ | woah 4 hours ago | parent | prev | next [-] |
| Somebody needs to coin a new term for the scattershot zero-thought AI griping that is pervasive in online comments these days. Meatslop? 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. |
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| ▲ | dcre 4 hours ago | parent | next [-] | | I call it pseudo-critique — active stupidity in the name of critical thinking — but that’s too general. | | | |
| ▲ | romaniv 3 hours ago | parent | prev | next [-] | | The current strategy of the AI hype machine is to exhaust people's reserves of attention by presenting a never-ending stream of hard-to-verify "positive" claims. It's Gish Gallop done on the Internet scale with a never-ending parade of tech influencers, proxy "journalists" and low-value accounts. The whole strategy aims for saturation and demoralized acceptance. 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. | | |
| ▲ | Waterluvian 3 hours ago | parent | next [-] | | It feels related to “it’s easier to argue with a smart person than an idiot.” It’s really exhausting to feel negative all the time when faced with the cavalcade of terribly weak claims. | |
| ▲ | no_shadowban_6 2 hours ago | parent | prev [-] | | Written like someone who hasn't used AI since the great paradigm shift of December 2025. | | |
| ▲ | rogerrogerr 2 hours ago | parent | next [-] | | Was that the one immediately after the great paradigm shift of November 2025, and before the great paradigm shift of January 2026? I think I remember it. | |
| ▲ | bigstrat2003 2 hours ago | parent | prev [-] | | There was no such paradigm shift. LLMs still suck just as much as they did before, in the exact same ways they did before. In 6 months you'll be trying to BS us about the "great paradigm shift of summer 2026". |
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| ▲ | andrewflnr 39 minutes ago | parent | prev | next [-] | | co-slop. In the categorical sense, slop with all the relationships reversed. | |
| ▲ | mathisfun123 4 hours ago | parent | prev [-] | | hn discourse is not nearly as high-quality as people would like to believe. | | |
| ▲ | rootusrootus 4 hours ago | parent [-] | | It’s very bimodal. | | |
| ▲ | mathisfun123 4 hours ago | parent [-] | | just like everywhere else? reddit has fairly good wheat among the chaff just the same? | | |
| ▲ | rootusrootus 2 hours ago | parent [-] | | Reddit's top contributors are decent, but there is an elite niche of people (granted, mostly of the technical variety) who somewhat regularly show up on HN but do not contribute much on Reddit. 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). | | |
| ▲ | Karrot_Kream 2 hours ago | parent [-] | | They both share the same problem: nobody who gripes incorrectly like this suffers any consequences. So you may as well gripe at anything and everything. Griping feels good and you rarely ever get downvotes on HN because griping is such a part of the site culture, whether you're incorrect or not. There's a recent HN guideline about being curmudgeonly but we all know that guidelines on this site are rarely followed. |
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| ▲ | postexitus 4 hours ago | parent | prev | next [-] |
| What part of move fast and break things did you not understand? |
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| ▲ | simianwords 4 hours ago | parent | prev | next [-] |
| It doesn't use an LLM |
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| ▲ | ortusdux 4 hours ago | parent | prev | next [-] |
| What could possibly go wrong? https://dailygalaxy.com/2026/03/rubber-used-in-undersea-tunn... |
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| ▲ | bluedino 4 hours ago | parent | prev | next [-] |
| All the chemical companies do it. They pair it with testing, but still. |
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| ▲ | tartoran 4 hours ago | parent | prev [-] |
| They have a new scapegoat to blame if things turn out badly. |
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| ▲ | plagiarist 4 hours ago | parent [-] | | Why do they need AI for that? Just create another LLC, manslaughter any number of people, then have that LLC declare bankruptcy. Zero consequences. | | |
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