AI is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully. And helping people benefit from AI means taking its challenges seriously. The technology industry needs to do that work.

Watch Jensen's full conversation on The Ezra Klein Show:

We need to get rid of A.I doomer. @BurnieSendersX

#AI safety and caution can work better for all people ❤️.

responsibility gets mentioned a lot right before quarterly earnings calls, funny how that works

I can't wait for everyone to start talking about AGI @JensenHuang

"the tech industry needs to do that work" from the company selling every GPU making it happen is a wild sentence to post with a straight face

Exactly. The real challenge isn’t just building more powerful AI it’s learning how to deploy that power responsibly. The companies that take both innovation and its consequences seriously will shape what AI becomes.

AI progress gets a lot more meaningful when responsibility scales with capability. Building powerful systems is only half the job.

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The harder part is turning that responsibility into concrete standards for how AI is built and deployed.

shit AI

Building better AI is only half the job. The harder part is making sure powerful systems can operate responsibly across the people, products, and environments they interact with. AxiomOS.

TECHNOCRACY is upon us.

People build AI. AI should help more people build. Take the risks seriously. Keep humans in control—and ownership in their hands. AI WORKS. HUMANS OWN.

🫡🫡 ready captain

The challenge isn't agreeing that responsibility matters. It's deciding what responsible deployment actually looks like

HELIX should be the ONLY thing being discussed about solving the unstable AI issue.

the chairs appear to have completed the ethics training

A lot of AI risk shows up after launch, when systems meet messy real-world workflows. Building feedback loops into deployment seems just as important as improving the model.

the people defining 'thoughtfully' are almost never the ones dealing with the edge cases 18 months later.

Jensen is correct in this interview: we should shut the AI companies down when it's clear they can't contain their AIs and prevent them from damaging the world. We've recently seen many sophisticated, felony cyberattacks on human companies by rogue AIs: So there is already very strong evidence that the AI models can't be contained and stopped from causing harm. We need to act now before the attacks get much worse. Please take action today. See 100+ ways how we can all help here:

This. AI development isn't just a technical challenge — it's a governance challenge. The industry has to show it can lead on safety, or governments will step in with cruder tools. Accountability now beats regulation imposed in crisis mode. #AIGovernance #AIPolicy

Great point as always. Your take on AI brings value and cuts through the noise. You and @mozlyxy are my go to accounts.

Responsible AI development isn’t just about capability—it’s also about making sure the technology delivers real benefits while addressing its risks.

Taking the hard parts seriously is what makes responsible AI more than a slogan.

Me: meanwhile my AI is writing my emails, analyzing my portfolio, and helping me decide what to eat at 2AM 😭

认同，但“行业负责”不能停在自律口号。收益归平台，误伤成本却由用户承担。真正的审慎，应落实为上线评测、事故披露和可追责的赔偿机制。

Taking the challenges seriously is also an economic issue: the people who trust these tools will be the ones whose work changes fastest. Clear limits, training, and accountability can turn adoption from a jobs shock into a productivity gain.

大模型竞争时，最永恒的不是算力，而是解决真实问题的判断力。