Dans cette hypothèse, j’aurais élaboré un système infiniment complexe, dans lequel les 13,8 milliards de sapiens sapiens ne formeraient qu’un infime maillon.
SAFETY
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Inside the Heart of ChatGPT’s Darkness: LLM Risks Exposed
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Inside the Heart of #ChatGPT’s Darkness Nightmare on LLM Street https://
garymarcus.substack.com/p/inside-the-h
eart-of-chatgpts-darkness
… by @garymarcus #AI #MachineLearning #DeepLearning @FmFrancoise @Shi4Tech @gvalan @data_nerd #DataScience #BigData #Analytics @ahier @Damien_CABADI @anijov @JAdP @avrohomg @CatherineAdenle -
ChatGPT’s Blandness Eases Transition to Realistic AI Interactions
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beyond addressing obvious PR problem ChatGPTs blandness smooths the transition to a world with lifelike AIs after playing around with DAN for a few days, the (semi) lack of censorship provides a striking realism factor that makes conversations slightly more unsettling
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Multiple Alien-Level Threats Emerging Simultaneously
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Cool that there are so many alien-threatening things happening all at once!
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MIT’s MiniCity Tests Autonomous Urban Perception Planning
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Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning. pic.twitter.com/OsuvGoqfJk
— MIT CSAIL (@MIT_CSAIL) 11 février 2023Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning.
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Watch for AI Hallucinations: Verify URL Source Data
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Cuidado que no sea una ilusión y que esté cogiendo la info en la propia URL para inventarse el contenido. Prueba a modificar la URL a ver qué pasa
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Skepticism about prompt vs human-written policy in ChatGPT RLHF
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Thought about this more: It doesn’t make sense it’s the prompt, because inference costs. Still feels human-written — but why would you RLHF into reciting all policy verbatim? ChatGPT falls for the same trick and the text it recites is just parameters.
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LLMs Still Hallucinate: Major Obstacle to Large-Scale Deployment
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Fundamentally, LLMs are still not ready for the large-scale deployment both companies envision — because they still ‘hallucinate.’ ChatGPT, BARD et al basically still get s*** wrong, and they make s*** up. Those kinks need to be worked out fast.
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Privacy Attacks on Split and Federated Learning Methods
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Very nice to see this work by @sanjayatwork and @mointweets. It's always great to see attacks against methods that are only "intuitively" privacy preserving, like split learning and federated learning (without differential privacy on top). https://
x.com/NicolasPaperno
/NicolasPapernot/status/1624108058702905360
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Secure Neural Networks Method Shows Promise
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Sorry that you were unable to attend. I got a chance to talk to Karthik and hear about your work. It seems like a really promising method for secure NNs. Hope our paths cross in the future.