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Comment Re:Antivaxers! (Score 1) 63

the amount of mercury in a single filling

Not a valid comparison, as most of that mercury stays in the tooth. Actual release is less than 5 microgram per day, as a gas which is breathed in. A vaccine with thimerosal might have 25 micrograms, similar to a very small can of tuna, i.e. bugger all.

Mercury fillings release more, but still only around a milligram per year. Multiplied by billions of fillings, that is still a very tiny fraction of the thousands of tons of mercury released into the environment every year.

You realize you just proved my comparison is valid, right? Your numbers, literally, show exactly what I stated.

Comment Users already super happy (Score 1) 8

Noticed a post this morning from someone that Udio has disabled downloads for "songs" users "create" with the service, citing this new partnership as the reason. Apparently they used to let you download .wav files. Now no downloads, and if you work around it and manage to get the file, it's now a .mp3.

Comment Re:What is AI used for? (Score 1) 65

I do find that many peoples understanding of what generative AI can produce today is actually highly influenced by what they thought it could do 2-3 years ago.

Hell, you could even say 2-3 months ago and still be right more often than not right now. I don't think I've seen any technology move so damn fast.

Comment Fun and Edgy??? (Score 1) 48

"There is also a possibility that OpenAI's mass-market appeal becomes a turnoff for corporate customers," the article adds, "who want AI to be more boring and useful than fun and edgy."

First of all, who has ever described OpenAI as "fun and edgy"? Grok sure, but OpenAI? I can think of lots of adjectives for OpenAI but "fun and edgy" are not in that list.

Second, commercial customers are going to pick the company with what they (the customer) perceives as the better product for the price. Period. And right now, Anthropic is better than OpenAI at some tasks like code generation.

Comment Re: AIs have goals (Score 1) 126

I prefer the pachinko analogy as well, but I didn't choose the analogy, the person I replied to did. I would argue, however, there's nothing misleading about it as the objective was to point out the model is not code (the calculator).

As for stochasticity, the difference I’m pointing at is scale and intent. You're technically correct that floating point operations aren't perfectly deterministic, but this is just background noise compared to the sampling strategy. The variances in production LLMs are mostly by design or implementation variance and not hardware jitter. I'm not saying hardware jitter doesn't play a role, and if it affects the choice of a single token in a response it can send the model down a slightly different branch from that point, but they are very limited and trivial compared to what is built into the model by design, and even greedy sampling doesn't remove all possible sources of randomness from the model architecture.

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