631–634 of 634 posts
Earlier quoted context omitted.
> researchers that's certainly one way to refer to Scott Alexander
Scott Alexander essentially provided editing and promotion for AI 2027 (and did a great job of it, I might add). Are you unaware of the actual researchers behind the forecasting/modelling work behind it, and you thought it was actually all done by a blogger? Or are you just being dismissive for fun?
Earlier quoted context omitted.
Sigmoids may look like exponential growth at first, until they saturate. Early growth alone cannot distinguish between them.
Intelligence must be sigmoid of course, but it may not saturate until well past human intelligence.
It would be like distance to the top of a mountain. Even if someone is 10x closer, they could still only be within arms reach.
Earlier quoted context omitted.
Not so fast! Check this out https://github.com/googleapis/python-genai/issues/460 In my experience, you can only use Gemini structured outputs for the most trivial of schemas. No integer literals, no discriminated unions and many more paper cuts. So at least for me, it was completely unusable for what I do at work.
That's the level of coding I expect from a bunch of Python-only ML computer scientists, but still... wow. On the upside, they seem to have fixed it: https://blog.google/innovation-and-ai/technology/developers-...
It's still far from what I'd expect should be supported.