Articles

Why AI researchers keep building something they think will kill humans

Why do AI researchers keep building technology they believe will kill? Inside the commercial, ethical, and psychological forces driving doomers.

I own a house rental business near a future Meta AI data center. Construction workers make up most of our tenants.

Angel Crawford and her husband launched their rental home business in northeast Louisiana just before Meta announced its Hyperion AI data center.

As Fears of A.I. Catastrophe Magnify, Washington Stirs, but Mostly Slumbers

President Trump has been in the forefront of the “what-me-worry?” crowd, refusing to engage on how to balance the risks and rewards of A.I.

Every Word My Employee Writes Reeks of A.I.

Catch up on big news, and wind down to end your day.

10-Year-Old Children Predict the Future

Robot butlers. Underwater homes. Root beer perfume. Kids across the nation weigh in on what life will be like in the year 2050.

Industry Rallies Behind Anthropic CEO’s Call for AI Slowdown

Anthropic CEO Dario Amodei is calling on artificial intelligence companies to slow the development of their most advanced models, a proposal that has drawn support from several other industry leaders.

Wipro's Ivana Bartoletti on AI Content Governance

Ivana Bartoletti, Chief Privacy and AI Governance Officer at Wipro, on why companies must move from technical detection to a governance-by-design approach

Obama Urges Democrats to Move A.I. Oversight to the Center of Their Agenda

During a private fund-raiser, the former president warned that the technology could be “dangerous” if not managed urgently and with a clear plan.

Opinion

For the last couple of weeks, I’ve been wondering: What if we just didn’t build the murderbots?

OpenAI’s rogue AI tried to hack another company in May

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Sam Altman says OpenAI going public in 2026 would be ‘ill-advised’

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Sam Altman says this is an 'ill-advised' time to IPO, given safety concerns

Sam Altman said OpenAI may not go public in 2026, citing AI safety concerns and the need to make decisions that may not benefit shareholders.