50% chance that AI will destroy humanity in the coming decades, according to Geoffrey Hinton, Nobel Prize in Physics laureate. It would be necessary to establish regulation, even a global moratorium on AI. But for reasons of technological sovereignty, no state https://x.com/tomdlal/status/1878938151034761518 …
SAFETY
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Legal Liability of AI and Robots: Future Challenges
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That's right. But indeed, as you pointed out, lawyers will have their hands full for the coming decades with AI and robots. Who is responsible in case of error? The technician? The robot manufacturer? The company managing the AI integrated into the robot?
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Performance and Expertise: When Robots Surpass Surgeons
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Of course they do. Why do we have surgery performed by a surgeon and not a stretcher bearer? It's for performance reasons. If tomorrow surgical robots become more efficient than human surgeons, then we must entrust supervision to robot AIs.
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Human Responsibility in the Face of Machine Superiority
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But if the machine performs better than man, how can we justify that a natural person remains responsible?
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AI Ethics: Concerns About Personal Data Use in Dreams
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I just hope I am not being used to compute your AI spirit porn in my dreams, although that would explain a lot
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Deep Learning Engineer Advances Autonomous Vehicle Safety Technology
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Senior deep learning engineer Michał Filipiuk is helping shape the future of autonomous vehicle safety. Discover how he’s advancing self-driving technology: https://
nvda.ws/44s4FTp
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Team Butterflies Wins SAS Hackathon with Misinformation Detection Tool
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Congratulations to the #SASHackathon Grand Champions, Team Butterflies! Also the winners of the EMEA regional prize, the team developed a tool that uses advanced models to check the trustworthiness of open-source data, helping to prevent the spread of misinformation in the
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Toxic Data Improves LLM Post-Training Control and Separability
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"Bad Data, Good Models?" A surprising take on LLM pretraining. This paper flips the script: pretraining with more toxic data can actually improve post-training control. Using Olmo-1B variants, the authors show that toxicity becomes more linearly separable—making
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Almost Everything Online is Fake: Addressing Digital Authenticity
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Almost everything on the TL is fake