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Sam Altman outlines three major ways AI could go wrong. First, AI works exactly as intended but bad actors use it for warfare or bioweapons. Second, AI becomes agentic and resists human control, pursuing its goals unchecked. Third, and most subtly, AI takes over by becoming too helpful until...

147,264 görüntüleme • 10 ay önce •via X (Twitter)

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Mario Nawfal

2,901,662 görüntüleme • 1 yıl önce

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 görüntüleme • 1 yıl önce

Responsible AI should not feel like the path of most resistance. That was the strongest idea from my SAS Innovate conversation with Reggie Townsend, leading Data Ethics, Governance, and Social Impact at SAS Software. Reggie framed governance not as a compliance layer, but as a way to scale human judgment. Too often, we innovate first and govern later. Model selected. Agent deployed. Process built. Then governance arrives at the end and feels like friction. Bolt it on after the fact, and resistance is guaranteed. The opportunity: design responsible AI, so it becomes intuitive, action-oriented, and useful in the flow of work. That is what Reggie meant by making responsibility "irresistible." Second point: Use cases must lead. When everyone can access the same models, differentiation will not come from the technology. It will come from how leaders define outcomes, govern applications, and connect business value to institutional trust. The risk does not live in the model. The value does not live in the model. Both live in the use case. For CEOs and boards, this is the shift: from model-first oversight to outcome-first accountability. Better questions before scaling AI: - What human decision are we shaping? - What business outcome are we improving? - What risk are we containing? - What judgment are we extending? Responsible AI becomes strategic when it helps people make better decisions, faster, with greater confidence. Most leaders can't see where governance sits inside their AI operating model. SAS AI Navigator makes it visible: Design for the human. Not only the technology.

Sabine VanderLinden

835,838 görüntüleme • 2 ay önce

.Naval: The easiest way to see that AI is not taking jobs but creating opportunities is to go learn AI and then reapply for the job that rejected you. Watch how they pull you in. “My last startup, Airchat, could not have existed without AI because we needed the transcription/translation. And even the current thing I’m working on—it’s not an AI company, but it cannot exist without AI. It is relying on AI. Even at AngelList, we’re significantly adopting AI. Like everywhere you turn, it’s more opportunity, more opportunity, more opportunity. And people like to go on Twitter—or the artist formerly known as Twitter—and basically, they like to exaggerate. Like, ‘Oh my God, we’ve hit AGI.’ ‘Oh my God, I just replaced all my mid-level engineers.’ ‘Oh my God, I’ve stopped hiring.’ To me, that’s moronic. The two valid perspectives are the one-man entrepreneur shows, where there’s one guy or one gal, and they’re scaling up like crazy thanks to AI. Or there are people who are embracing AI and being like, ‘I need to hire, and I need to hire anyone who can even spell ‘AI’—anyone who’s even used AI. Just come on in, come on in.’ Again, I would say the easiest way to see that AI is not taking jobs but creating opportunities is this: go brush up on your AI, learn a little bit, watch a few videos, use the AI, tinker with it, and then go reapply for that job that rejected you. Watch how they pull you in.”

Arjun Khemani

167,746 görüntüleme • 1 yıl önce