I learned about this via Guix but didn’t notice that. Nice!

My guess would be that using a desktop computer to make the queries and read the results consumes more power than the LLM, at least in the case of quickly answering models.

The expensive part is training a model but usage is most likely not sold at a loss, so it can’t use an unreasonable amount of energy.

Instead of this ridiculous energy argument, we should focus on the fact that AI (and other products that money is thrown at) aren’t actually that useful but companies control the narrative. AI is particularly successful here with every CEO wanting in on it and people afraid it is so good it will end the world.

It is the best on the market but unfortunately they just use Google underneath plus their own blog index. And at least to me it seems it isn’t going in a better direction.

I feel like the quality of her videos is way down but I am ND and found that video pretty neutral.

I skimmed a transcript just now because I wanted to understand why people are so disproportionately mad about it. She mentions Autism Speaks and does not immediately condemn it. Is that it? I wouldn’t say that counts as being wrong on everything.

I’m tired of (especially internet) discourse where shouting which camp you belong to is most important. One good example is when people accused Amnesty of siding with Russia because they reported on Ukrainian warcrimes. Nothing is truly neutral but I much prefer information or thought experiments over the virtue signaling that has taken over the internet.

You will not convince people to change their mind by shouting in their faces that your point of view is correct. Granted, you usually wont change people’s mind online anyway, except entrenching them deeper into their existing beliefs. I don’t think that is a good thing regardless of the side they take. It leads to seeing fellow humans as monsters just because they are wrong about something.