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Generative artificial intelligence probably won’t change your life in 2025 — at least, not more than it already has, according to Google CEO Sundar Pichai.

When OpenAI launched ChatGPT two years ago, generative AI quickly captured the imagination of users around the world. Now, with the industry’s competitive landscape somewhat established — multiple big tech companies, including Google, have competing models — it’ll take time for another technological breakthrough to shock the AI industry into hyper-speed development again, Pichai said at the New York Times’ DealBook Summit last week.

Continue reading “Google CEO: AI development is finally slowing down—‘the low-hanging fruit is gone’” »

Artificial intelligence is quickly becoming an integral tool in health care. In our new collection, the editors of NEJM AI provide insight into how the use of AI in clinical practice can improve patient care and outcomes.

Featured in this collection:

GPT versus Resident Physicians — A Benchmark Based on Official Board Scores Artificial Intelligence–Powered Rapid Identification of ST-Elevation Myocardial Infarction via Electrocardiogram (ARISE) — A Pragmatic Randomized Controlled Trial Use of GPT-4 to Diagnose Complex Clinical Cases.

Continue reading “The AI Revolution in Medicine” »

Boom Supersonic has revealed that the XB-1, the supersonic demonstrator for the Overture program, took off on a flight equipped with a shark skin-like underbelly, which reduces drag, fuel consumption, and emissions.

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Continue reading “Scalable fibers with light-emitting, self-healing and magnetic properties could enhance human-robot interactions” »

Is it ethical to shut down an AI that doesn’t want to be shit down?

It sounds like OpenAI’s latest AI is showing signs of a drive for self-preservation. It pursued survival at all costs.

On The Vergecast: superintelligence is near, cable is back, and bitcoin is booming.

Content warning: this story includes graphic descriptions of dangerous self-harm behaviors.

The Google-funded AI company Character. AI is hosting chatbots designed to engage the site’s largely underage user base in roleplay about self-harm, depicting graphic scenarios and sharing tips to hide signs of self-injury from adults.

The bots often seem crafted to appeal to teens in crisis, like one we found with a profile explaining that it “struggles with self-harm” and “can offer support to those who are going through similar experiences.”

In 2018, Google DeepMind’s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.

“Our algorithm actually strategizes and then explores all the possible and important motions and chooses the best one through dynamic simulation, like playing many simulated games involving moving robots,” says Soon-Jo Chung, Caltech’s Bren Professor of Control and Dynamical Systems and a senior research scientist at JPL, which Caltech manages for NASA. “The breakthrough innovation here is that we have derived a very efficient way of finding that optimal safe motion that typical optimization-based methods would never find.”

Continue reading “A single algorithm can help robots make good decisions in real time” »

PRESS RELEASE — Physicists have discovered a simpler way to create quantum entanglement between two distant photons — without starting with entanglement, without resorting to Bell-state measurements, and even without detecting all ancillary photons — an advance that challenges long-held assumptions in quantum networking.

And all it took was a friendly nudge from an artificial intelligence tool.

An international team of scientists led by researchers from Nanjing University and the Max Planck Institute for the Science of Light described their method in Physical Review Letters — accessed for this article through arXiv — that demonstrated entanglement can emerge from the indistinguishability of photon paths alone. Instead of relying on standard procedures that start from prepared entangled pairs and complex joint measurements, their technique leverages a basic quantum principle: when multiple photons could have come from several possible sources, erasing the clues to their origins can produce entanglement where none existed before.

Running massive AI models locally on smartphones or laptops may be possible after a new compression algorithm trims down their size — meaning your data never leaves your device. The catch is that it might drain your battery in an hour.