Y estos tweets de @scaling01 y todo el análisis que ha compartido es también demoledor. Estaría genial que se publicaran las trazas de razonamiento sobre las que se sustenta el paper para analizarlas bien.
SAFETY
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Reasoning Models Limitations: Understanding Problem Complexity Trade-offs
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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper: https://
ml-site.cdn-apple.com/papers/the-ill
usion-of-thinking.pdf
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Can AI truly understand humor and jokes?
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Has AI ever understood a joke? PS: These twitter slop generators really piss me off. Wtf is the point of them?
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AI Performance Over Human Reasoning: Beyond Traditional Thinking Models
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Contrast this with the Illusion of Thinking paper from Apple. In the end, I don’t think it will matter if what the AI is doing fits into traditional understanding of reasoning / thinking. When it’s better than the best humans, how it does it will be irrelevant.
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AI Masters Mathematics Through Self-Directed Learning Strategy
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https://
scientificamerican.com/article/inside
-the-secret-meeting-where-mathematicians-struggled-to-outsmart-ai/
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"The bot spent the first two minutes finding and mastering the related literature in the field. Then it wrote on the screen that it wanted to try solving a simpler “toy” version of the question first in order to learn. A few minutes later, it wrote that it -
AI Self-Correction: More Thinking Yields Bigger Failures and Successes
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What about thinking harder? Thinking more? Couldn't the AI be taught to self-correct? Well, according to the paper, more thinkg results in more spectacular results on both sides. Bigger failures.
Bigger successes too.
It cuts both ways. -
Never share your device code under any circumstances
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Nunca compartas el código de tu dispositivo, bajo ninguna circunstancia… 🤭 pic.twitter.com/GcidohwOWG
— Juan Merodio (@juanmerodio) 8 juin 2025Nunca compartas el código de tu dispositivo, bajo ninguna circunstancia…
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GenAI Deployment Requires Ethical Governance and Bias Mitigation
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Enterprises racing to deploy GenAI are facing rising ethical risks. Transparency, governance, and bias mitigation aren’t optional. #AIEthics #ResponsibleAI #EnterpriseAI https://
hbr.org/2025/03/ai-eth
ics-is-now-a-business-imperative
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AI coherency challenges in complex scene generation
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Coherency seems to take a hit on more complex scenes. Moving areas of the scene show more obvious signs of being AI generated. pic.twitter.com/0kp9zgN7tW
— fofr (@fofrAI) 7 juin 2025Coherency seems to take a hit on more complex scenes. Moving areas of the scene show more obvious signs of being AI generated.
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Detecting Cognitive Biases in AI Reasoning and Logic
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You can notice if your preferences and identity mess with your logic by comparing your mode of thinking with reasoning about computer games or alien civilizations. Many brainworms will attack you when you think without identification; you may have to avoid their hosts