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My family uses Airbnb for every single holiday, has done for more than a decade, and have had a wonderful experience. Thank you airbnb!

For images, latent diffusion only works when using a special decoder that can produce realistic images given relevant samples from the latent space. This is trained like a GAN and doesn’t focus on pixel level error but higher level image features extracted via another network etc. expect that building a decoder like that for their problem may have solved their issues.

I see this author has a published book as well "Guide to Competitive Programming" - curious if it's the same text?

Strange. I thought a pale person would reflect more light so they’d burn less (obviously contrary to what we see). But apparently the resolution is that the uv is absorbed safely not reflected

The two-adjacent signals causing extra traffic is something I encounter daily in Berkeley -- Ashby / Claremont & Ashby / Domingo. I probably blow an average of 5 minutes a day cause of that double intersection.

To highlight one other point from the video: You want a light to be able to clear the line built up each time. If not, flux in > flux out and that's a recipe for a growing line, which causes a traffic jam.

I think they'll end up more like scientists. Landau famously advised his students to be proficient in math so that when they're working on a problem it's the scientific understanding that's the rate limiting step, not the math. Now mathematicians will be freed of some of the burden of proving things and their challenge will instead be to find interesting new things worth proving.

Do you not like AI?

That’s the smart car

Apparently Tristan was working on this problem for years, with AI providing help. Vs OpenAI spending a week with their new model, potentially having access to Tristan’s work.