“After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic,” Jumper to publish On the social media platform X Friday (June 19).
“Demis Hassabis “I jumped at the real opportunity to be allowed to lead the AlphaFold team just six months after receiving my PhD,” he added, referring to the DeepMind CEO.
A a report Bloomberg News said that Google confirmed Jumper’s departure. This report also noted that the move could hinder Google’s push to beat Anthropic, OpenAI, and SpaceX in the race to create the most powerful AI models.
Former Google employees told Bloomberg that the company struggled to sell AI coding tools to companies.
The report added that workers and executives at DeepMind — the Google AI division where Jumper was a vice president — recently raised concerns that the company doesn’t have a clear solution for companies looking for AI coding tools.
Advertisement: Scroll to continue
Tools like these are becoming a major focus for both Anthropic and OpenAI, helping boost energy, the report added The momentum of the two companies In the past few months.
Gamper and Hassabis shared the 2024 Nobel Prize in Chemistry for their development of AlphaFold, an artificial intelligence system that can accurately predict the 3D structure of proteins from their amino acid sequences. As covered here at the time, this breakthrough solved a problem Long-term challenge in molecular biology.
“Thank you John for the extraordinary partnership and wonderful collaboration over the past nine years,” Hassabis wrote in his own post on X. “What we achieved with AlphaFold changed the world, showing the field what was possible with AI for science and medicine, lighting the way for how humanity can benefit from AI.”
In other Google AI news, PYMNTS wrote earlier this month about the company’s decision to reduce the cost of an entry-level AI subscription from $7.99 to $4.99 per month as AI companies shift from competing on model performance to competing on price.
“the The difference between consumer and enterprise AI “Pricing points to the same basic problem: usage is growing faster than the economy is improving,” PYMNTS wrote.
“On the consumer side, companies are lowering prices to add subscribers while absorbing the cost of a large number of users. On the enterprise side, companies that have treated AI like fixed-rate software are discovering that their bills are more like utilities.”
For all of our PYMNTS AI coverage, subscribe to our daily newsletter Amnesty International newsletter.
