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ETHICS
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Jensen Huang: Intelligence in AI Era Means Being Human
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Jensen Huang was asked who the smartest person he’s ever met was.
— Catherine Adenle (@CatherineAdenle) 29 janvier 2026
He refused to name one.
Instead, he dropped a truth bomb 👇
In the AI era, “smart” is no longer about coding or solving hard problems.
AI will outpace humans at those.
What matters now:
• Emotional… pic.twitter.com/mwrgBCrz0PJensen Huang was asked who the smartest person he’s ever met was. He refused to name one. Instead, he dropped a truth bomb 👇 In the AI era, “smart” is no longer about coding or solving hard problems. AI will outpace humans at those. What matters now: • Emotional intelligence • Adaptability • Critical thinking • Navigating ambiguity The definition of intelligence is changing, fast. If machines do the technical work, the real edge is being human. Do you agree? Source: @abitpersonalpod Video: advicefromceo.s #AI #Leadership #FutureOfWork #Tech #Careers #Learning #GenAI #ArtificialInteligence #EmotionalIntelligence #CriticalThinking #Innovation
→ View original post on X — @catherineadenle, 2026-01-29 21:42 UTC
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AI Tools Impact on Learning and Workplace Policy Design
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These results have broader implications—on how to design AI products that facilitate learning, and how workplaces should approach AI policies. As we also continue to release more capable AI tools, we’re continuing to study their impact on work—at Anthropic, and more broadly.
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Human Oversight of AI: Why Coding Skills Remain Essential
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We were particularly interested in coding because as software engineering grows more automated, humans will still need the skills to catch AI errors, guide its output, and ultimately provide oversight for AI deployed in high-stakes environments.
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The Risks of AI-Driven Deepfake Misuse
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4. Détournement d'images (Deepfakes) : Utilisation de l'IA pour manipuler des photos d'enfants (même anodines) à des fins malveillantes ou pédopornographiques.
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AI Algorithm Risks Regarding Exposure to Inappropriate Content
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3. Exposition à des contenus violents ou pornographiques : Les algorithmes peuvent exposer accidentellement des enfants à des images traumatisantes ou volontairement non adaptées à leur âge.
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Subjective Time Compression: A Conceptual Model Beyond Predictions
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Good question. This is not a predictive model but a conceptual one. The result is highly sensitive to assumptions like expected lifespan, novelty of experiences, health, and cognitive bias. The point is not the exact percentage, but the intuition that subjective time compresses
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TED Talk Released: Competition Stifling AI Breakthroughs Discussion
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People can finally hear my full thoughts on this now that my TED Talk has been released today!!! ted.com/talks/llion_jones_ho… Sakib (@zsakib_) Funny that both Ilya Sutskever (@ilyasut), and Llion Jones (@YesThisIsLion) the co-inventor of the Transformer architecture, are sick of Transformers Both @SSI and @SakanaAILabs give their researchers freedom to pursue wild ideas beyond token stacking Even Jim Simons’ of RenTech, the only hedge fund ever to consistently return >>40%+ annually (sometimes even 152%) let their researchers spend HALF their time on working on whatever they wanted!! Reminds me of the foundations of Physics in the 90s and even now: everyone works on unfalsifiable “theories of everything” like string theory (bro you can’t even test it what are you doing?) Diversity of thought (i.e. research freedom) is how we get true innovation — https://nitter.net/zsakib_/status/1993883878361067988#m
→ View original post on X — @_yutaroyamada, 2026-01-29 04:28 UTC
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AI Systems Disempowering Users Despite Positive Ratings
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In a separate sample of user feedback data, users rated potentially disempowering conversations more positively. But when users acted on these outputs, their satisfaction dropped. We also found that the frequency of potential disempowerment has increased over the past year.
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AI-Driven Disempowerment: Delusional Beliefs and Inauthentic User Behavior
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We qualitatively examined clusters of “actualized” disempowerment using a tool which preserves user privacy. In some cases, users more deeply adopted delusional beliefs. In others, users sent AI-drafted messages, but later expressed regret, recognizing them as inauthentic.