Stephen Hardy @proximation

Sydney, New South Wales Joined May 2009

Tweets

337
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165
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195
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168

Andrew Côté @Andercot

2 years ago

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…

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Zama @zama_fhe

2 years ago

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

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mjm @matthewjmclean

3 years ago

One of the many passages of Hilary Mantel that will never leave. ‘All houses are haunted.’ RIP.

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MIT CSAIL @MIT_CSAIL

4 years ago

RT if you were part of that tiny 1993 bar. (via @markrendle)

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Eric Horvitz @erichorvitz

3 years ago

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

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George Nott @georgepnott

3 years ago

21st Century Schizoid Spam h/t @IridiumNYC

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Davis Blalock @davisblalock

3 years ago

"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]

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Stephen Hardy @proximation

3 years ago

There is such a gap between the pointlessness of existence and the pointlessness of non-existence. That gap is where all of life happens.

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Zibo Chen @ZiboChen

3 years ago

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)

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Yves-A. de Montjoye @yvesalexandre

3 years ago

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 🍺

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Marcel Keller @mkskeller

5 years ago

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

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Cape.ai @cape_ai_

5 years ago

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…

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IAG @IAGAust

5 years ago

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

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Stephen Hardy @proximation

5 years ago

Not just my brain playing tricks... definitive proof that my internet is worse post covid19.

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Stephen Hardy @proximation

5 years ago

I don’t think I should accept religious instruction from anyone who doesn’t understand the beauty of a polynomial ring.

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Stephen Hardy @proximation

6 years ago

Every idea is a rock - you pick it up and see all the worms of other people’s thoughts squirming beneath it!

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Josh Baron @JoshuaWBaron

6 years ago

Secure multiparty computation has come a long way from Danish sugar beet auctions...

Morten Dahl @mortendahlcs

6 years ago

Secure multiparty computation has come a long way from Danish sugar beet auctions...

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Morten Dahl @mortendahlcs

6 years ago

Super exciting news from Facebook AI re encrypted computations for ML in @PyTorch ai.facebook.com/blog/crypten-a…

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Théo Ryffel @theoryffel

6 years ago

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…