But if the machine performs better than man, how can we justify that a natural person remains responsible?
SAFETY
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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
#NVIDIAlife #deeplearning -
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
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Combating AI-Generated Misinformation: Citizen Responsibility During Crisis
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So much fake news, videos, and images on the internet right now. This is all engagement farming during such a serious time. The least you can do as a citizen is not to spread unverified claims.
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Online Learning: The Missing Paradigm in Modern AI Systems
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a paradigm of modern AI that feels very behind is that model weights are trained every few months, but frozen between and during interactions real intelligent systems (such as human brains) update their parameters online maybe we'll get there in a couple years
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Singapore Consensus Unites AI Labs on Global Safety Plan
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SINGAPOUR dévoile un plan mondial pour la sécurité de l’IA, en pleine tension USA-Chine. Des chercheurs d’OpenAI, xAI, DeepMind, Tsinghua, etc. unissent leurs forces autour du “Singapore Consensus” : Comprendre les risques Créer des IA plus sûres Contrôler les systèmes