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Comment Re:Not needed (Score 1) 140

I agree, but the problem is the decision makers have already fired far more than that on the hopes of AI making them money .... and to pay for the AI spending ... and future intended AI spending.

All without evidence of any of it paying off.

Once they've wrecked the companies they won't be in a position to hire anyone back.

Comment Re:If AI is the flood (Score 2) 70

I assume that's a joke suggestion. It's been demonstrated that attempts at LLM self-learning quickly goes to pot. Fully automating of AI reporting with AI filtering would do the same.

This whole situation also rings of LLMs' most distinct trait - they are great at regurgitating well trodden boilerplate code. Ask for something novel and you'll be getting a mostly empty template.

Comment What about when filtered? (Score 2) 108

Or what sort of filter would work?

There is already notable cases of commercial/industrial conversion from coal, diesel and even gas boilers where there is abundant supply of wood chips as waste from milling and wilding clean up. It makes for a positive local news story to say the boilers are going back to renewable wood.

It would be good to be able to remove lead contamination in a systematic way. Using exhaust filters could be one such way.

Comment Re:Not just data centers (Score 2) 74

It's irrelevant anyway since this article is about what's wanted for AI data centres alone. They are rapidly placing enormous demands on the grid that greatly overloads available capacity. In fact, they would've expanded faster if they could've. All for some gimmicky chat bots.

So they should willingly contribute to the public good by wholly paying for not just the expansion they want themselves but also extra. Cover some of EV demands at the same time.

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