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Really bullish on AI, huh?

Designing an engine?

“[snuffs] out common diseases”?

Solving SEO?

Idk cotton, let’s see how this plays out.



"Solving" is a bad choice of word. SEO does not have a solved state.

Digital design of engines can already happen now. AI chip design is already a thing, I think they help lay out more efficient trace lines. Since digital design and simulation can all happen digially. The whole cycle is digital. A system like Claude's computer use can take control and produce 100s or thousands of small modification of existing design to be simulated and if it has testable performance critiera. I think it can be done now. Maybe some finetuning the model for specific UI control.


I think it’s far more likely that a specialized model would be make for a such a task. Just like with chip design.

I’d be surprised if they weren’t already using some kind of ML/statistical analysis in the design of engines.

When I read AI, though, I was assuming you meant LLMs, not one of several statistical modeling technique.


Sniffs out, meaning diagnoses


Could just as well be a typo.

I’ve never heard anyone call diagnosing “sniffing”


Disease can change body odor, and dogs have been trained to "sniff out disease" [0][1] (i.e. detect via smell) for years. Various researchers have been working on robot noses that would be able to do the same.[2] Presumably a widespread and/or less expensive version of this "robot nose" is what doku means by "AI nose sniffs out many common diseases".

[0] https://www.nature.com/articles/d41586-022-01629-8

[1] https://www.discovermagazine.com/the-sciences/how-do-dogs-sn...

[2] https://bigthink.com/the-future/robotic-nose-smartphone-dete...


It’s an idiom, like the detective sniffed out some clues.


lol, I do mean a sniff with a nose. The technology I'm referring to can work by taking air sample. This technology exist, the prediction is that cheap version will be available. My assumption is robots will want a digital nose, for example nanny bots will want to smell smoke and react. An example I read for this technology is that grocery store robot will want to detect spoiled food. It will be mass produced and gets cheaper. But we don't have a robot industry yet, so my confidence level on this prediction is low. The AI part of this is just data analysis of spectral lines.




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