Jean-Marc Jancovici

Anthropic’s latest artificial intelligence model, Claude Opus 4, tried to blackmail engineers in internal tests by threatening to expose personal details if it were shut down, according to a newly released safety report that evaluated the model’s behavior under extreme simulated conditions.

Societies increasingly rely on scientists to guide decisions in times of uncertainty, from pandemic outbreaks to the rise of artificial intelligence. Addressing climate change is no different. For governments wanting to introduce ambitious climate policies, public trust in climate scientists is pivotal, because it can determine whether voters support or resist those efforts.

Researchers say Aardvark Weather uses thousands of times less computing power and is much faster than current systemsA single researcher with a desktop computer will be able to deliver accurate weather forecasts using a new AI weather prediction approach that is tens of times faster and uses thousands of times less computing power than conventional systems.

Larry Page. The name instantly evokes Google. He co-founded the search engine that reshaped how we explore the web. Now, whispers suggest he’s pivoting to AI manufacturing.Two publications lit the match: Tech in Asia and The Hindu. Both allege Page quietly built a team of robotics and data-savvy wizards. The result? A stealthy startup aimed at merging artificial intelligence with factory floors. The company’s identity remains hidden. Yet the words “AI manufacturing” capture attention. Manufacturing is massive, vital, and often riddled with inefficiencies. If Page wants to optimize it, the outcome could be game-changing.

In recent months we have seen lifechanging technological advances in the capabilities and use of artificial intelligence. At the same time, we are witnessing new, life-threatening risks as a result of AI – from the propagation of disinformation, to mass surveillance, to the prospect of lethal autono

Foundational innovation in cloud technology and artificial intelligence will require more energy than ever before—shattering any illusion that we will restrict supplies.

Machine learning is producing impressive results, and, for better or worse, researchers are now using it to address the climate crisis, writes Frederick Hewett.

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