No sawdust means no tokens. Maybe there were already enough planks around. Maybe a task was completed without AI. What matters is what was done and not whether there's sawdust / AI was used.
"How can I shove AI into something" is just seeing if a new technology can be used to solve a problem that's already solved. It's low effort high value compared to solving a new problem. Although I agree that people are being reckless and shoving it in when it doesn't make a significant improvement.
It seems this particular failure mode wasn't even considered - most large "chemical" tanks are required to have spill walls (basically a berm around the tank that could contain the contents of the tank) - sample model: https://www.walthers.com/wide-oil-storage-tank-w-berm-kit-ta...
Aside from the accessibility benefit mentioned in the article, I would think that using semantic HTML like this would also make AI tools more effective at understanding code
I actually think it makes sense to hone models for coding and agentic capabilities. Those models will be specialized for those tasks, and the results will be cheaper and better. We can still have a general model and specialized models
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