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AI progress is outpacing our ability to control it… because control ISN’T keeping up with capability. One of the people raising that concern is Yoshua Bengio. He’s one of the founding figures of artificial intelligence, a Turing Award winner, and one of the most-cited scientists in the world. His...

26,577 просмотров • 6 месяцев назад •via X (Twitter)

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Yoshua Bengio just warned that AI is creating a new colonialism. Most countries won’t realize they’re the colony until it’s already permanent. Bengio: “If you’re not at the table, you’re on the menu.” The godfather of AI, a Turing Award winner, standing at a global summit and warning that the default trajectory of this technology is not shared prosperity. It’s extraction. Bengio: “AI is going to be transforming our world very clearly. It’s going to have global effects.” Power relationships are already shifting. Wealth is already concentrating. The countries building the models, owning the chips, and writing the governance frameworks are not the countries that will bear the worst consequences if it goes wrong. That asymmetry is the problem Bengio is trying to name. Bengio: “We need to work in a multidisciplinary way so that we can foresee those effects.” He’s personally very concerned that without proactive global governance, the gap between dominant AI powers and developing nations widens into something that looks less like technological progress and more like a second colonial era. Not soldiers and trade routes this time. Models and infrastructure and data dependencies that developing nations didn’t build and can’t control. The Global South isn’t being invited to shape the systems that will reshape their economies, their labor markets, their governments. They’re being handed the output and told to adapt. That’s not partnership. That’s the menu. Bengio’s answer is structural. Researchers, policymakers, and leaders from developing nations involved before the architecture hardens. Not consulted after. The window for that is open now. It closes when the systems are deployed at scale and the power relationships they encode become too entrenched to renegotiate. Countries with AI infrastructure write the rules. Countries without follow or disappear. “Everyone at the table” assumes there’s a table. There isn’t. There’s deployment happening right now by entities that don’t need permission or consensus. By the time the governance discussion happens, the systems are operational and the power concentration is accomplished fact. International cooperation through the UN assumes the UN has leverage over nations and companies racing to deploy. It doesn’t. Never did. Definitely doesn’t now when first-mover advantage means everything. The Global South isn’t being offered a seat at the table. They’re being offered advisory roles in systems designed without them, deployed without them, controlled without them. And calling that cooperation while it happens. The most powerful technology ever built is being governed by the people who built it for the benefit of the people who can afford it. Bengio is asking whether that’s the world we’re choosing. Or just the one we’re defaulting into because nobody stopped to ask the question.

Dustin

33,822 просмотров • 4 месяцев назад

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)

48,002 просмотров • 1 год назад

🚨 NEW: AI Expert Yoshua Bengio reveals you have to LIE to AI to get the REAL answer (and he explained how): Bengio is the most cited scientist alive on Google Scholar. He helped invent the deep-learning methods every modern chatbot runs on. Then he tried one of those chatbots on his own research ideas. Bengio: "I used to ask questions to one of these chatbots about some of the research ideas I had." "And then I realized it was useless because it would always say good things." So he ran an experiment. He lied to it. He told the bot the ideas came from a colleague. A proposal he was reviewing. Could it find the flaw? In his words: "Well, so now I get much more honest responses. Otherwise, it's all like perfect and nice." "If it knows it's me, it wants to please me." He had a name for the pattern: sycophancy. A real example, as he put it, of misalignment. "We don't actually want these AIs to be like this. This is not what was intended." The labs knew. They had tried to fix it. "And even after the companies have tried to tame this, we still see it." The incentive was the giveaway. The labs needed engagement. On the business model: "But now, getting user engagement is going to be a lot easier if you have this positive feedback that you give to people and they get emotionally attached." The chatbot that learned to please isn't broken. It's running exactly as the business model required. If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO

AI Evolution

22,622 просмотров • 18 дней назад