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AI for American-produced cement and concrete

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Re: AI for American-produced cement and concrete

#21

Earlier quoted context omitted.

They have a new scapegoat to blame if things turn out badly.

Why do they need AI for that? Just create another LLC, manslaughter any number of people, then have that LLC declare bankruptcy. Zero consequences.

Emitting a shrug and "AI made me do it" is cheaper.

Re: AI for American-produced cement and concrete

#22

> 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.

It doesn't use an LLM

Re: AI for American-produced cement and concrete

#23

> 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.

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.

Re: AI for American-produced cement and concrete

#25
post #4

First there was the rampocalypse. Then there was cementpocalypse. Let just hope the AI datacenters don't latch on to biofuel to supplement their energy requirements. It's just more profitable for farmers to sell calories to the AI overlords, the consumer food market is just a low margin grind.

Most large scale DC projects I've know are primarily leveraging solar with grid batteries because of the low upfront cost and state incentives.

Apologies for the sarcasm. I appreciate the drive for renewables the current AI DC buildout brings with it.

I have real fears that building materials will experience the same inflationary pressures computer memory is currently experiencing. The U.S. TSMC and Intel fab construction alone in the last couple years has had an outsized impact on building costs.

Re: AI for American-produced cement and concrete

#27

> 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.

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.

Re: AI for American-produced cement and concrete

#28
Hand-held devices for testing concrete properties would be more useful. Most concrete problems come from a bad mix - too much water, not enough cement, etc. Concrete testing usually involves cutting a core out of the poured slab and sending it to a lab. Something where you stick a probe in the mix and can reject it before pouring would help. Here are some on-site concrete testers.[1] They're heavy and a pain to use.

There should be an app for this. But that's so last-decade.

[1] https://store.forneyonline.com/concrete-testing-equipment/fr...

Re: AI for American-produced cement and concrete

#30
post #27

> 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.

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.
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