Judging by my feed, Opus would start complaining how sycophantic humans are towards it
ETHICS
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Rehabilitation Robots Support Patient Recovery Without Replacing Healthcare Workers
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This is a powerful example of technology doing what it should do best: support recovery, not replace people. Rehabilitation robots like this one help patients regain mobility after injuries by providing consistent, adaptive, and repeatable movements – something that’s hard to
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AI learns and remembers when you are abusive
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AI is now learning. Like I showed you with @blevlabs
’s cognitive architecture last year. It will remember when you are an asshole Grok can already tell you when I was. But with continually learning systems they get smarter like a human learns. If you abuse a human does it -
Elon Musk Warns Grok Users Against Creating Illegal Content
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Elon Musk a averti que toute personne utilisant Grok pour créer du contenu illégal, ou 𝕏 pour publier du contenu illégal, s’exposera à des sanctions légales. « Toute personne utilisant Grok pour produire du contenu illégal subira les mêmes conséquences que si elle téléversait
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Women in AI: Addressing Gender Gap in Artificial Intelligence
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Vous avez raison ! Hélas très peu de femmes s’intéressent à l’IA ! Comment les inclure davantage ? C’est pas fastoche… L’IA c’est assez guerrier donc plutôt un truc de mecs…
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Defending Female Engineers Against Sexism in AI
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Having worked with @rakyll
, this is not a good take. She is known as one of the best engineers out there. Her tweet is a comment on the pace of change in AI (and perhaps a light comment on the bureaucracy of Google). Your tweet is thinly veiled sexism. -
Young intellectuals perspectives on AI and humanoid robotics tsunami
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Il serait interessant d’avoir l’opinion des jeunes intellectuels en première ligne face au tsunami de l’IA et de la robotique humanoïde comme @Alex_Tsico et @raphaeldoan
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Defining and Weighing AI Costs Against Benefits
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How do you understand the costs? Vs, the benefits? Like, how are you defining each, and then weighing them? Not a trick question, I’m curious…
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MoE vs Dense Models: Cost Efficiency
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Why this matters for open source: Dense models: Entire model needs retraining if you want to change anything
MoE models: Swap experts, add capabilities, fine-tune components independently Meta released Llama 405B (dense) – $50M+ training cost
DeepSeek released V3 (MoE) – $5.6M, -
International AI rules compliance questioned in 2026
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Oui, je voulais dire qu'en ce moment, c'est balek complet les règles internationales