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- The Guardian - Technology
- Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role
Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role
Observers express concern that the division has lost its independence and commercial reality has taken over
When Sir Demis Hassabis said AI had brought the world to a “pivotal moment in human history” last month, he knew another big change was imminent.
This shift was closer to home. The Nobel prize-winning head of Google DeepMind, Google’s AI unit, announced this week he was relinquishing his day-to-day duties as chief executive and becoming chair. He is also taking on the role of chief scientist at DeepMind’s parent, Alphabet.
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© Photograph: Antonio Olmos/The Guardian

© Photograph: Antonio Olmos/The Guardian

© Photograph: Antonio Olmos/The Guardian
DeepMind’s hurricane breakthrough has surprised weather scientists
In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane.
Hurricane Melissa was catastrophic, causing flooding and landslides across Jamaica. But the AI model helped forecasters give an earlier warning to communities in its path, so they could better prepare.
In a paper published on Thursday in Nature, researchers show that the WeatherNext AI model can predict cyclones with unprecedented accuracy. On average, it gives forecasters a day more lead time than existing models; this means its predictions three days out are as accurate as previous models’ predictions two days out. On the ground, that extra day can mean a lot.


© J Marshall/NASA/ESA/T. Pesquet/Alamy
DeepMind’s hurricane breakthrough has surprised weather scientists
In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane.
Hurricane Melissa was catastrophic, causing flooding and landslides across Jamaica. But the AI model helped forecasters give an earlier warning to communities in its path, so they could better prepare.
In a paper published on Thursday in Nature, researchers show that the WeatherNext AI model can predict cyclones with unprecedented accuracy. On average, it gives forecasters a day more lead time than existing models; this means its predictions three days out are as accurate as previous models’ predictions two days out. On the ground, that extra day can mean a lot.


© J Marshall/NASA/ESA/T. Pesquet/Alamy
- Ars Technica - Gadgets
- Google's AI shake-up: DeepMind's Hassabis steps aside, senior scientists depart
Google's AI shake-up: DeepMind's Hassabis steps aside, senior scientists depart
Google got a slow start with generative AI after seemingly being caught flat-footed by Microsoft's Copilot reveal. What a difference a few years make. Now, Google is at the forefront of AI development (for better or worse), but new cracks are beginning to show. The company's string of high-profile personnel departures continues, and DeepMind CEO Demis Hassabis has now said he will hand off day-to-day responsibilities to take on an oversight role at parent company Alphabet.
Hassabis was one of the founders of DeepMind, and he maintained a key leadership role after Google acquired it. As the generative AI boom took off, Hassabis has been one of the loudest voices predicting the impending creation of artificial general intelligence (AGI), which is typically described as an AI with human-like capabilities and intelligence.
In his memo announcing his decision to leave DeepMind, Hassabis again leans on the promise of AGI. "I've been working towards AGI my whole life and now, like many of you, I feel it is close at hand," said Hassabis.


© Ruhani Kaur/Bloomberg via Getty Images
- Tek Notícias
- “Família” Gemini cresce com novos modelos para programação, cibersegurança e robots mais inteligentes
“Família” Gemini cresce com novos modelos para programação, cibersegurança e robots mais inteligentes
Além de três modelos para programação, cibersegurança e agentes de IA, a Google revelou a mais recente versão da plataforma Gemini Robotics, que permite controlar o corpo inteiro dos robots e coordenar tarefas de forma mais autónoma.
The post “Família” Gemini cresce com novos modelos para programação, cibersegurança e robots mais inteligentes appeared first on Tek Notícias.
DeepMind’s CEO Says AGI Could Arrive Around 2030. The Scary Part Is How Unready We Are
- Tek Notícias
- Satélite usa IA para decidir o que observar em órbita sem precisar de intervenção humana
Satélite usa IA para decidir o que observar em órbita sem precisar de intervenção humana
A Google DeepMind alimenta o sistema de inteligência artificial do satélite YAM‑9 que, desde que está em órbita, consegue identificar autonomamente aquilo que é necessário visualizar.
The post Satélite usa IA para decidir o que observar em órbita sem precisar de intervenção humana appeared first on Tek Notícias.
- Tek Notícias
- IA no futebol: Google DeepMind e Liverpool criam sistema que antecipa jogadas e otimiza táticas
IA no futebol: Google DeepMind e Liverpool criam sistema que antecipa jogadas e otimiza táticas
Desenvolvido pela Google DeepMind, o sistema de inteligência artificial TacticAI pretende ajudar equipas de futebol a prever o sucesso das jogadas e antecipar resultados prováveis de um canto.
The post IA no futebol: Google DeepMind e Liverpool criam sistema que antecipa jogadas e otimiza táticas appeared first on Tek Notícias.