We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
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What we're reading.
1/ We’re always interested in approaches that enhance LLM performance, and these findings from Google have surpassed and enhanced results by adding a small pre-trained scorer into a model. Learn more at Google Research >
2/ A long read on the detailed process of creating a digital clone of yourself with Synthesia. Or maybe I should say “digital corpse”. There are so many banger lines in this piece it’s crazy. Learn more at MIT Technology Review >
3/ The Rabbit R1 reached the world this week, but the promises of the future seem to remain in the future. A future packed with even more promises, like an AI camera. High style, low substance? Learn more at WIRED >
4/ Honestly, I didn’t think I’d hear more scathing reviews of an AI wearable than those lobbed at the Humane Ai Pin. Then I read this, from someone who put the Rabbit R1 through its paces. Learn more at The Atlantic >
5/ On the plus side, Meta’s Ray-Ban’s are getting some improvements. Are these the most liked AI wearables around? Learn more at WIRED >
6/ And Meta’s not done spending. An entertaining week from Zuck — we all have a better idea of what Meta’s future investments look like, but the market wasn’t in favor. Learn more at The New York Times >
7/ Can LLMs hack themselves? Researchers at the University of Illinois have shown the exploits. Learn more at Axios >
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