---
title: "DeepMind CEO tackles killer AI applications for Google"
type: "News"
locale: "zh-CN"
url: "https://longbridge.com/zh-CN/news/271208533.md"
description: "Perhaps you have only recently heard the name Demis Hassabis"
datetime: "2025-12-31T11:25:38.000Z"
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  - [zh-CN](https://longbridge.com/zh-CN/news/271208533.md)
  - [en](https://longbridge.com/en/news/271208533.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/271208533.md)
---

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# DeepMind CEO tackles killer AI applications for Google

Perhaps you have only recently heard the name Demis Hassabis. He was named one of Time magazine's "AI Architects," won the Nobel Prize for his achievements in using AI technology to predict protein folding, and heads Google's artificial intelligence business. In 2014, the search giant acquired DeepMind, the company he founded. Since then, Hassabis has been leveraging the vast resources of his new employer to develop machines that surpass human intelligence, known as Artificial General Intelligence (AGI).

Since then, his most notable achievement has been bringing dazzling scientific glory to Google, as his AI system defeated the world's top Go players, and he himself received the Nobel Prize in Chemistry for the related technology. However, substantial breakthroughs at the product level have always eluded him. This situation may change in 2026—if his unconventional ideas can be integrated into Google's second-generation smart glasses. For Google, which has been passive since the emergence of ChatGPT three years ago, such progress could represent a complete turnaround.

Google plans to launch AI-driven smart glasses in 2026, aiming to compete with similar products from Meta. To this end, Google will collaborate with Samsung Electronics to manufacture the device, one version of which will be equipped with a micro-display for navigation or translation functions. This could potentially restore the reputation of Hassabis's team in two ways. First, the original Google Glass, due to its odd appearance and poor experience, had shamed the entire smart glasses category for years; a pair of AI glasses that combines stylish design with practical functions could completely change the public perception of this technology.

Secondly, this may also validate Hassabis's long-held belief: chatbots are not the only way to achieve powerful and practical AI. OpenAI's ChatGPT sparked the generative AI wave with its large language model (LLM) trained on web content and the expenditure of hundreds of billions of dollars in computing resources. However, Hassabis has always believed that "world models," trained based on simulations and the real physical world, will lead AI to the next leap.

Meta's AI chief Yann LeCun once held the same view but failed to gain the approval of Mark Zuckerberg and recently left the company. While Zuckerberg emulates OpenAI and bets everything on chatbots in pursuit of superintelligence, Google has adopted a decentralized strategy, betting on scientists and technologies that could bring about paradigm shifts.

In 2023, Sundar Pichai, CEO of Google's parent company Alphabet, merged the company's two major AI departments under Hassabis's leadership, surprising many who thought the position would go to Jeff Dean, the head of engineering in California. Hassabis refused to relocate to Silicon Valley and was unwilling to adopt the company's market-oriented thinking, instead focusing on scientific exploration. However, based in London, he seemingly succeeded in resolving the deep-rooted transatlantic competition that had hindered the development of the two departments In August 2024, Google spent a staggering $2.7 billion to rehire Noam Shazeer. This unconventional scientific genius is a co-inventor of the Transformer neural network architecture, which forms the backbone of modern AI and is what the letter "T" in ChatGPT refers to. Shazeer left in 2021 due to Google's refusal to launch his chatbot project, while two years later, OpenAI dazzled the world with the same underlying technology. Upon his return in 2024, Shazeer was appointed as the technical co-lead of the Gemini chatbot and reported to Demis Hassabis. From a background perspective, this arrangement seemed unlikely to succeed, as Hassabis did not share Shazeer's long-standing belief that large language models are the path to achieving general artificial intelligence.

However, Hassabis, once a chess prodigy, is accustomed to long-term strategic thinking. With his personal charm and diplomatic skills, he bridged the gap between himself and Shazeer. At this moment, the stakes have risen. "He has stepped into a supercapitalist race not of his own making, but now that he is in it, he is determined to win," commented Sebastian Mallaby, author of the upcoming biography "The Infinity Machine" about Hassabis and DeepMind. "While a large part of his personality loves science, an equally strong part craves victory."

Yet, he is still far from true victory. ChatGPT not only significantly outpaces Gemini in user numbers but also gained a two-year head start in expanding enterprise business. The enterprise market is key to AI profitability. (In contrast, the Gemini enterprise version will not arrive until October 2024.)

Nevertheless, Google's latest AI model has been a resounding success. Gemini 3 has topped multiple performance rankings, even forcing Sam Altman to sound the "red alert" internally at OpenAI, citing "temporary economic headwinds." Currently, Gemini 3 has surpassed 650 million monthly active application users, and the number of users reached through Google's "AI Overview" feature is estimated to be as high as 2 billion. Google has always been known for its cautious approach in the AI field, but now this "tortoise" is indeed catching up to the "hare."

This turnaround is largely credited to Shazeer. Rumors in Silicon Valley suggest that he identified and fixed a deep flaw in Gemini, greatly enhancing training efficiency, allowing it to surpass ChatGPT in some benchmark tests. However, Hassabis's moment of glory has yet to arrive. If he can successfully implement world models like the "Project Astra" he advocates, it could trigger a new paradigm revolution following chatbots, creating AI capable of understanding the spatial movements and interrelations of objects Imagine a pair of glasses that can remember where you placed your keys, understand the surrounding objects from a three-dimensional perspective, and predict what will happen next in the environment. This would be a significant leap compared to Meta's Ray-Ban smart glasses, which can only describe what they see through a camera but cannot truly understand the physical laws of the world around you. This would also signify a transformative leap for AI assistants.

The pressure is mounting. Google must prove that its AI capabilities can open up profitable avenues beyond its advertising business, while Demis Hassabis urgently needs to turn his "moonshot" plan into a viable business. His track record so far is thought-provoking: despite the renowned reputation of AlphaFold, a protein structure prediction tool that has accelerated the research of 3 million scientists, it has yet to lead to the approval of any drug by the U.S. Food and Drug Administration (FDA).

However, if Google's new smart glasses can succeed and become popular by leveraging world models, the company could gain an edge in the competition for a killer AI application. At the same time, this will determine Hassabis's future—whether he continues as a distinguished scientist at Google or becomes the founder leading it into the next era

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