Considering it can only act on the world (for now) through humans, would it get ethics approval before conducting experiments?
RESEARCH
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Meta AI Introduces Segment Anything Model for Image Segmentation
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The Segment Anything Model (SAM) by Meta AI is a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from photos or videos + zero-shot transfer to other segmentation tasks. Try the demo https://
bit.ly/3MlCGeZ -
MIT Develops BuildIt and D2X Tools for Custom Language Creation
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MIT researchers created “BuildIt”, a tool for non-compiler experts to easily create languages to solve performance intensive problems. “D2X” automatically retrofits existing debuggers for the new languages: https://
bit.ly/41j1Wql -
Reinforcement Learning with Large Datasets: Autonomous Agents
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Tomorrow at 12 PM PT, the Berkeley AI lecture series continues. @svlevine will present "Reinforcement Learning with Large Datasets: A Path to Resourceful Autonomous Agents." Tune in live: https://
youtube.com/user/citrisuc/
live
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Karen Hao Joins Yale Panel on US-China Tech Relations and AI
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So thrilled to be joining @yangyang_cheng
, @SammSacks
, Nick Frisch, and so many other people I admire at Yale tomorrow and Thursday to discuss all the topics near and dear to my heart: science & technology in U.S.-China relations, data flows, AI development, and journalism. -
Tech Tonic Final Episode: Quantum Physics Importance Explored
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Our final Tech Tonic episode – musings on why quantum physics *really* matters, from some of the greatest thinkers on the topic.
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TU Munich IIT Madras DeepMind AWS partnership on AI
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@TU_Muenchen @iitmadras @DeepMind @awscloud @__anjali__raja @_DigitalIndia @GoI_MeitY @NeGD_GoI @nasscom
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Pre-Trained Models: Using AI Responsibly Without Sensitive Data
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mheu non il est déjà nourrit, c'est le principe du Pré-Train, il ne faut pas lui donner d'infos sensible, pas utiliser d'infos nominative, et ça se passera très bien
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Universe Simulation: Physics Engine vs Generative AI
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To be honest, I don't know. But it would be a too simple explanation. If we are in a simulation, what is powering this simulation? Is it some physics simulator, simulating every particle in the universe, or is it a generative AI that generates only what the observer can
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Data Growth and LLM Training: Next Decade Projections
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Sorry I don’t follow. I was respond to you calling LLMs probabilistic, stating we’ve fed it too much data. I think we’ll collect more data in next 10 years than we’ve collected over the last few centuries. Just curious if you’d agree or disagree. Not trying to argue.