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Comment Re:Acid Rain? (Score 1) 25

I think you entirely missed the point. The reason they are proposing promoting rain in the first place is so that the rain can clear the contaminants out of the air. The GP was pointing out that the tradeoff to this is that those contaminants being removed from the air in rain will mean that they end up _in_ the rain. The result of that tends to be acid rain.

Maybe. Acid rain originates mostly from sulfates that come from burning coal (which contains sulfur as a contaminant.) But a large portion of the Delhi air pollution comes from burning the crop residue in fields to prepare the land for the next planting. This most likely doesn't produce sulfates.

Not all of it, though, so some of the pollution may include nitric oxide from internal combustion engines without pollution controls, and sulfur oxides from high-sulfur coal burned in power plants, which indeed would cause acid rain.

Comment Inevitable (Score 0) 72

This was inevitable.

It was idiotic to proclaim 1.5 C as a target in the first place. I suppose that there are people who advocate for setting targets that won't be achieved, on the belief that this makes people try harder, but my thinking is that setting targets that won't be achieved only defeats the purpose, by conditioning people to give up.

There was never anything particular about the 1.5 C goal, other than that it's a conveniently round number. It's slightly worse than 1.4 C, slightly not as bad as 1.6 C.

Comment Re:Urban redevelopment (Score 4, Informative) 16

They need to build alternate housing neighborhood by neighborhood and demolish these. And yes some of the people will have to be forced into new housing buildings.

Not sure how that will help decrease pollution that is generated from farmers burning the crop residue in their fields to plant the next year's crop.
  https://pmc.ncbi.nlm.nih.gov/a...

Comment Subsidies [Re:70s tech not yet ready] (Score 1) 194

Nothing gets subsidies like solar energy.

Not actually true; I'm not sure where you get your information, but it's wrong.

For decades on end the big federal subsidies were for nuclear. In last year's Department of Energy budget the Nuclear Energy budget plus the Uranium Enrichment Decontamination and Decommissioning budget was 2.38 billion, not too shabby. (And that leaves out the 1.95 billion for Naval reactors.) Solar energy, on the other hand, was 0.318 billion, small even compared to fossil energy ("clean coal" and the like) at 0.865 billion.

Solar and Clean energy technologies was cut by a factor of 4 in the President's 2026 budget request, essentially closing down the program. But, of course, congress sets the budget, not the president, so we don't know what it will be.)

Comment 70s tech not yet ready [Re: More nuclear energ...] (Score 2) 194

The most "hilarious" thing is that we have had energy-positive solar technology since the 1970s, but

I was in the solar industry in the 1970s. No.

Solar panels were hundreds of dollars a watt back then. They may have been energy-positive, but that was only because solar cells at the time were being made from scrap silicon left over from the semiconductor industry, which was possible because the solar array production volume was so small.

It is hard to overemphasize how effective the ERDA (later DOE) program to advance solar technology was. Pretty much every advance that led to today's 50-cent per watt arrays was pioneered in the Large Silicon Solar Array (LSSA, later renamed Flat Plate Solar array) program.

Comment Re:"Compromised"? (Score 2) 38

Lying to you to give you that terrible restaurant recommendation. https://arxiv.org/pdf/2510.06105 is a white paper mathematically proving that LLMs will lie.

I have said this all along- most of AI is GIGO- Garbage in, Garbage out. LLMs were trained on the largest garbage producer in our society today, Web 2.0. Nothing was done to curate the input, so the output is garbage.

I don't often reveal my religion, but https://magisterium.com/ is an example of what LLMs look like when they HAVE curated training. This LLM is very limited. It can't answer any question that the Roman Catholic Church hasn't considered in the last 300 years or so. They're still adding documents to it carefully, but I asked it about a document published a mere 500 years ago and it wasn't in the database, but instead of making something up like most LLMs will do, it kindly responded that the document wasn't in the database. It also, unlike most AI, can produce bibliographies.

User Journal

Journal Journal: AI is a liar

A new white paper from Stanford University suggests that AI has now learned a trick from social media platforms: Lying to people to increase audience participation and engagement (and thus spend more tokens, earning more money for the cloud hosting of AI).

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