205 karma · joined February 17, 2015
The first wanted to give me a root canal surgery and over 15 fillings. No thanks.
The second wanted to give me 8 filings, sell me an expensive bite guard for tooth grinding, which the first dentist did not bring up, and give me a fluoride treatment. No thanks.
The third dentist gave me 3 filings, said nothing about tooth grinding, and recommended a water flosser.
I got the three filings, bought a 'rest in peace' nightguard from amazon, started using conical hydroxyapatite toothpaste and a water flosser, and am taking another break from dentists! When I go again, I'll go to the third one. I found it impossible to figure out which is which from "reviews".
Which is why we don't throw them away!
You should assume all text is AI generated. If you want to "test" someone at school or during an interview, have them write with a pencil and paper.
Open weight classifiers and open weight LLMs will be burned onto silicon cards in a few years after the models begin to stabilize. They'll be in PCs and laptops. That's going to capture a HUGE chunk of the market.
If you need more horsepower, you'll rent the same silicon safely from AI services cloud providers without handing your data over to Anthropic and OpenAI.
I was also surprised by how little attention the analysis gives to China and India. It's like measuring the smoke from a candle while standing next to two forest fires. The real-world impact is to decimate the economies of Europe while industry moves to China and India, who have no meaningful guardrails at all, making the claimed problem worse.
These acquisitions are not healthy. They stifle competition and make it easier for governments to censor open weight models by choking off distribution points.
It sounds like you were using a quant model.