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It's pretty straight forward - OpenAI spontaneously emits @sama and @gdb, producing a short-lived @miramurati that converts to an @eshear via @bradlightcap decay. @sama and @gdb undergo @satyanadella-catalyzed fusion with @MSFTResearch in a temporary bound state. Since @eshear…
While OpenAI CEO @sama is speaking to the US senate about the risks of AI. reRead how we, at @zama_fhe are planning to solve the privacy issues of Large Language Models like ChatGPT with Fully Homomorphic Encryption zama.ai/post/chatgpt-p… #FHE #Privacy #AI
One of the many passages of Hilary Mantel that will never leave. ‘All houses are haunted.’ RIP.
On readying for new forms of #AI-powered manipulation & disinformation—and directions on mitigation. Forthcoming Blue Sky Ideas track article arxiv.org/pdf/2209.01714… @scsp_ai @compcomcon @PartnershipAI @BBCWorld @nytimes @CBSNews @C2PA_org @truepic @senrobportman @SenGaryPeters
"Understanding Scaling Laws for Recommendation Models" For two years, the AI world has had this glorious period of believing that big tech companies just need more compute to make their models better, not more user data. That period is ending. Here's what happened: [1/14]
![davisblalock's tweet image. "Understanding Scaling Laws for Recommendation Models"
For two years, the AI world has had this glorious period of believing that big tech companies just need more compute to make their models better, not more user data.
That period is ending. Here's what happened: [1/14]](https://pbs.twimg.com/media/FbJqntZVEAAfOSo.jpg)
There is such a gap between the pointlessness of existence and the pointlessness of non-existence. That gap is where all of life happens.
Can proteins perform neural network computation? Together with James Linton, @RonZhu2015, and @ElowitzLab, we had a lot of fun creating the "perceptein" -- a protein circuit that performs winner-take-all neural network computation in mammalian cells: biorxiv.org/content/10.110… (1/4)
Scientists 👩🔬👨🔬: simply removing identifiers does not prevent re-identification. However, if you use modern privacy engineering techniques you can use data while properly protecting it. UK gov: This sounds like an "impossibly high standard". Hold my beer 🍺
A virtual workshop on privacy-preserving machine learning will take place after this year's @NeurIPSConf. You can now submit an abstract: ppml-workshop.github.io
Today, we're proud to announce the launch of our open-source platform and $5 million in seed funding! It’s our mission to make privacy-enhancing technology fast and easy to change the world for the better. Thank you to @TechCrunch for the article: techcrunch.com/2020/06/24/cap…
We’re working with Ambiata to deploy Atmosphere, a closed-loop #AI and machine learning tool that’s helping us drive better customer outcomes through personalisation bit.ly/2ATUkUY
Not just my brain playing tricks... definitive proof that my internet is worse post covid19.
I don’t think I should accept religious instruction from anyone who doesn’t understand the beauty of a polynomial ring.
Every idea is a rock - you pick it up and see all the worms of other people’s thoughts squirming beneath it!
Secure multiparty computation has come a long way from Danish sugar beet auctions...
Super exciting news from Facebook AI re encrypted computations for ML in @PyTorch ai.facebook.com/blog/crypten-a…
Super exciting news from Facebook AI re encrypted computations for ML in @PyTorch ai.facebook.com/blog/crypten-a…
Very *excited* to share our latest #PySyft #tutorial on Encrypted Training! It combines - @PyTorch networks - Multi-Party Computation - Autograd on encrypted data Trains on MNIST, data + model are encrypted Huge 🙏 to the crypto team of @openminedorg! blog.openmined.org/encrypted-trai…
Live presentation of AI music / human music composition #gradientinstitute #AIEthics pscp.tv/w/cAl35TgxMTI4…
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