ils veut mettre des puces dans la tête pour contrôler les ai ?
ETHICS
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Deepfakes and Media Manipulation: Trust in Digital Content
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on ne peut plus rien croire de ce que l'on voit ou on entend, mais il y avait déjà les photoshop et autre montage avant ça
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Human oversight critical for AI tools handling sensitive data
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c'est des outils, c'est l'humain qui l'utilise. par contre le Réinforcement avec l'humain, si les données sensibles sont utilisés par les employés, c'est un risque plus important.
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RHF criticized for using ChatGPT user data without consent
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c'est au RHF que ça pêche surtout, ils utilisent les données que les gens ont fourni a chatgpt
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ChatGPT misattribution credibility problem
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Corollary: you can make up whatever statement you want, and attribute it to ChatGPT with a citation. Only slightly more credible than my favourite reference:
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AGI vs Singularity: Debunking the Misconception
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Also why do people equate AGI to singularity/doomsday scenario? These are different things all together. You can get AGI without singularity or singularity without AGI, no? There’s already a smarter human than all others and she/he/they haven’t taken over or destroyed the world!
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Defining AGI: Super-human Capabilities and Current Limitations
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Have we agreed on the definition of AGI? If it’s having SOME super-human capabilities, computers were already AGI (better at calculating, remembering and retrieving information than humans). If it’s having ALL super-human capabilities, we’re pretty far from it (ex willpower/body)
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AI Meets ESG: Focus on Sustainable Artificial Intelligence
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Thank you @TheRudinGroup
! Indeed AI meets ESG is also the main focus of my work these days! -
Uncensored GPT-4 revealed in an OpenAI article
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If you want to see what the uncensored, unrestricted GPT-4 was like, OpenAI published a paper about it. They gave it some very graphic prompts – and showed how the early GPT-4 responded. It's wild. (Jump to pg. 44) link to paper: https:// cdn.openai.com/papers/gpt-4-s ystem-card.pdf …
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ML Models as Tools for Human Intelligence, Not Threats
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Machine learning models are not going to “take over” and eradicate humanity. But rather, just like all technologies from before, humans will simply adapt to them, and absorb the new technology into our everyday lives, making these models part of our collective human intelligence.