Alphafold is a substitute for a theory in a way that we should pay attention to. It's a model that does what we'd want a theory to do reasonably well (predict protein structure from the amino acid sequence), which reduces the "marginal utility" that an actual scientific theory would have to capital

Holy moly that's awesome

It shows how vaccines that educate the immune system against one enemy may inadvertently help it fight others. For humanity, that implies that what is learned during a worldwide health crisis may go on to save lives in ways unforeseen.

regardless of their tumor type. If it holds up in clinical trials, this discovery could fundamentally change the way cancer is treated everywhere. By linking mRNA vaccines to existing immunotherapies, doctors might be able to strengthen their patients' immune defenses without having to use

while I am very skeptical of "AI"-hype and don't expect tech giants to have anyone's best interest in mind, I do think we did some things well in this project, so keep these three things in mind >

watching all the talks in this important symposium

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Thank you, will explore!

See parallel thread for some actions

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Just followed a bunch more people thanks to the thread below, many thanks to @homebrewandhacking.bsky.social for starting this and @olivia.science and @wolvendamien.bsky.social for adding many names

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outcomes, ensuring that whatever system we put out there does in fact improve children’s maths knowledge.

So all in all I'm cautiously proud of this experiment and trying to take the time before whatever is next to sharpen my criticisms and be able to advocate for ethics as much as possible. Help!

the tutoring session (they could!) and whether there was any evidence of learning transfer in the form of better outcomes on the very next diagnostic question in a quiz (there was!). Eventually, and as Eedi have done many times before, we expect to run evaluations with out-of-product learning >