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The State of AI: A vision of the world in 2030

The State of AI: A vision of the world in 2030

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. You can read the rest of the series here. In this final edition,...

OpenAI has trained its LLM to confess to bad behavior

OpenAI has trained its LLM to confess to bad behavior

OpenAI is testing another new way to expose the complicated processes at work inside large language models. Researchers at the company can make an LLM produce what they call a confession, in which the model explains how it carried out a task and (most of the time) owns up to any bad behavior....

From pilot to scale: Making agentic AI work in health care

From pilot to scale: Making agentic AI work in health care

Over the past 20 years building advanced AI systems—from academic labs to enterprise deployments—I’ve witnessed AI’s waves of success rise and fall. My journey began during the “AI Winter,” when billions were invested in expert systems that ultimately underdelivered. Flash forward to today: large...

Why we should thank pigeons for our AI breakthroughs

Why we should thank pigeons for our AI breakthroughs

In 1943, while the world’s brightest physicists split atoms for the Manhattan Project, the American psychologist B.F. Skinner led his own secret government project to win World War II.  Skinner did not aim to build a new class of larger, more destructive weapons. Rather, he wanted to make...

Five ways that AI is learning to improve itself

Five ways that AI is learning to improve itself

Last week, Mark Zuckerberg declared that Meta is aiming to achieve smarter-than-human AI. He seems to have a recipe for achieving that goal, and the first ingredient is human talent: Zuckerberg has reportedly tried to lure top researchers to Meta Superintelligence Labs with nine-figure offers. The...