AI for American-Produced Cement and Concrete

Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the Unit…

Engineering at Meta

> 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.

What part of move fast and break things did you not understand?
The Rubber Used to Keep Undersea Tunnels Sealed Is Decaying from the Inside Out Faster Than Engineers Thought

Engineers thought a simple strip of rubber would keep the ocean out of undersea tunnels for a hundred years. They were wrong.

The Daily Galaxy - Great Discoveries Channel
It doesn't use an LLM
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.
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?

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.

I call it pseudo-critique — active stupidity in the name of critical thinking — but that’s too general.
hn discourse is not nearly as high-quality as people would like to believe.
It’s very bimodal.
just like everywhere else? reddit has fairly good wheat among the chaff just the same?

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 both tech influencers and low-value accounts. The while strategy aims for saturation and demoralized acceptance.

It's no surprise that people readjust their reactions by expressing hostility and skepticism about anything AI-related without spending much time on analysis. In fact, it's an entirely rational reaction.

Complaining about this without acknowledging the larger context is disingenuous.