vote Kamala. anything else will make you hate everywhere else in addition to America :D

It’s hype like this that breaks the back of the public when “AI doesn’t change anything”. Don’t get me wrong: AlphaFold has done incredible things. We can now create computational models of proteins in a few hours instead of a decade. But the difference between a computational model and the actual thing is like the difference between a piece of cheese and yellow plastic: they both melt nicely but you’d never want one of them in your quesadilla.

next up: “Great thanks we’re gonna sell all your photos unless you pay for a subscription. Gotta keep in business somehow!”

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oh. go get a therapist–not physical; mental. they’re insanely expensive, but you can spend the next three months shopping around and by the new year you’ll have found someone you like!

invite me and I’ll bring my own alcohol. spread looks delicious!

Another great example (from DeepMind) is AlphaFold. Because there’s relatively little amounts of data on protein structures (only 175k in the PDB), you can’t really build a model that requires millions or billions of structures. Coupled with the fact that getting the structure of a new protein in the lab is really hard, and that most proteins are highly synonymous (you share about 60% of your genes with a banana).

So the researchers generated a bunch of “plausible yet never seen in nature” protein structures (that their model thought were high quality) and used them for training.

Granted, even though AlphaFold has made incredible progress, it still hasn’t been able to show any biological breakthroughs (e.g. 80% accuracy is much better than the 60% accuracy we were at 10 years ago, but still not nearly where we really need to be).

Image models, on the other hand, are quite sophisticated, and many of them can “beat” humans or look “more natural” than an actual photograph. Trying to eek the final 0.01% out of a 99.9% accurate model is when the model collapse happens–the model starts to learn from the “nearly accurate to the human eye but containing unseen flaws” images.

I love my ThinkPad, but that’s mostly because of the TrackPoint

oh nice! I found the same labyrinth after 4-5 taps.

this is so exciting! I imagine in the next few days I might be able to get to the content!!!

I just had a seizure reading trying to read this “article”. what do I even click to escape??

“If you sing at the table you’ll cry before you go to bed.” I thought it was super common until I said it to my kid and my partner thought I was crazy.

oooh. design intricate sandwiches! sounds like a lovely holiday!!

Yeah, the problem is how to sanitise effectively. You’ve gotta be able to find a way to automatically strip out “bad” things from your training data (via an “oracle”). But if you already had that oracle, you could just slap it on your final product (e.g. Search) and make all the “bad” things disappear before they hit the user (via some sort of filter).

yeah I don’t understand the “not eating forever” thing. the only question is whether I eat the three bags of chips before or after the 6 servings of drunken noodles arrived

I was with you until the “construction site and under the bridge” bit. It definitely takes a bit of imagination, but I’m not sure not wanting your kids to play on a site which requires the use of hard hats classifies as being “anxious”

Just commenting to also get a name in that history book.

“Oh yeah. We knew it was coming. We were just waiting to see which one would finally cause it.”