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This morning we unveiled Utah’s approach to artificial intelligence: Pro-Human AI. Pro-Human AI means systems that keep people in the driver’s seat, strengthen learning and agency, and broaden opportunity for every Utahn. Utah is backing that vision with action: a new academic consortium, major workforce investments, and partnerships that...

16,877 просмотров • 7 месяцев назад •via X (Twitter)

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AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.

David Shapiro (L/0)

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AI For The Poor, Human Intelligence For The Rich Western capitalists are selling AI to us as “the great equalizer”. But it is really not. What we are seeing is a new class system being built in real time. The rich will still pay for human teachers, human doctors, human consultants, human artists, and human care. Everyone else will be told that an AI version is good enough. When poor children are offered AI tutors instead of more teachers or working-class patients are pushed toward AI health tools instead of proper medical care, we should pay attention. AI may be useful, but it is also becoming a cheaper substitute for people who already have less. This is why African governments must be very careful about the AI policies they adopt. We cannot afford to copy and paste technology policies from the West without asking whose interests they serve. If we are not careful, AI will become another tool used to manage poverty instead of solving the systems that created it. Africans also need to be more critical of how AI is being introduced into education, healthcare, governance, welfare, and other public services. Who owns the technology? Who controls the data? Who profits from the contracts? Who is accountable when these systems fail? And most importantly, who is being asked to accept AI instead of real human care? Africa must not become a testing ground for Western-imposed systems that deepen inequality under the guise of innovation.

The Spearhead

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