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Citrini analyst Jukan shared content on platform X stating that industry insiders reported that Google DeepMind co-founder Demis Hassabis had previously planned to leave simultaneously with another co-founder, David Silver. However, Google management was concerned that this news could trigger a significant drop in stock prices, so they hoped to delay his departure. Reports indicate that after Google announced related adjustments, the company's stock did indeed decline. Ultimately, Hassabis was persuaded to take on the role of chairman of DeepMind to help facilitate a smooth transition and create space for a more appropriate departure from Google in the future.It is reported that as David Silver shifts to founding Ineffable Intelligence and John Jumper joins Anthropic, the core AI research and development force at DeepMind is undergoing changes. Some insiders believe that the center of gravity for AI model development at Google has now shifted more towards the Bay Area, leading to a decline in the importance of DeepMind. Internally, Google is focusing on the large language model Gemini to catch up with OpenAI and Anthropic. Hassabis's adjustment reflects a long-standing strategic contradiction within Google: researchers are more focused on long-term scientific breakthroughs, while the commercial team is more concerned with AI products that can be quickly commercialized to drive revenue and stock price growth. Market predictions suggest that Hassabis may leave Google within a year and could potentially start a new venture.

The research organization SemiAnalysis released an analysis indicating that Google DeepMind is no longer among the leading AI laboratories. A week prior, DeepMind co-founder Demis Hassabis stepped back from daily operations, and key members such as Google Chief Scientist Jeff Dean and Gemini co-lead Oriol Vinyals left to establish a new lab called Discovery Loop. The analysis suggests that the long-term struggle within Google over computing power allocation between Gemini and GCP has concluded with GCP emerging victorious.SemiAnalysis stated that Gemini 3.5 Pro has been canceled, and Gemini 3.6 Flash's performance is inferior to that of leading Chinese open-source models and Grok 4.5. Currently, Gemini has fallen to the 8th or 9th position in the large model rankings. Meanwhile, GCP is selling a large number of TPUs to competitors like Anthropic, having secured long-term leasing and sales contracts for hundreds of thousands of TPUs over the past nine months. The Tokenomics model estimates that Gemini's own ARR is about $12 billion, while GCP's third-party AI cloud service revenue is expected to exceed $73 billion by the end of 2027, with TPU system sales contributing an additional over $120 billion. GCP's latest quarterly growth rate is 82%, and it is expected to accelerate to over 100% by 2027 due to TPU system sales, contributing approximately $3 to Google's earnings per share.

According to Jinshi reports, Google's Deepmind has launched the Gemini Robotics ER 2 model.

According to reports, Google DeepMind co-founder Demis Hassabis recently predicted that artificial general intelligence (AGI) could be achieved in just a few years, with its transformative impact reaching ten times that of the Industrial Revolution, and its development speed accelerating tenfold. He pointed out that as the potential risks of cutting-edge models in areas such as cybersecurity, nuclear energy, and biology become increasingly prominent, the industry urgently needs to establish robust security protections for future AI systems that possess autonomy and self-improvement capabilities.To balance technological innovation and security risks, Hassabis called for the United States to take the lead in establishing a "Frontier AI Standards Agency" similar to the Financial Industry Regulatory Authority (FINRA). This agency is proposed to operate under a public-private partnership or self-regulatory organization model, managed by independent technical experts and representatives from the open-source community, primarily funded through industry contributions. Its core function is to develop dynamic scientific assessment protocols, initially requiring frontier laboratories to voluntarily submit for review 30 days prior to the release of models, with plans to eventually transition to mandatory market entry testing, while non-frontier models from startups or academic institutions would be exempt. This framework aims to address unknown crises through a technology-driven review mechanism and to promote a global consensus on AI risk management within the international community.

ChainCatcher news, Google announced the launch of its artificial intelligence model "Gemini," developed by the Google DeepMind team. It is reported that Gemini is designed to be multimodal, capable of understanding and processing different types of information such as text, code, audio, images, and video. The Gemini model is divided into three different scales: Ultra, Pro, and Nano. The Ultra version is aimed at complex tasks, the Pro version is suitable for a wide range of tasks, and the Nano version is optimized for tasks on mobile devices.Currently, Gemini has begun to be promoted and applied in several Google products and platforms. For example, Google Bard will use an improved version of Gemini Pro, while the Pixel 8 Pro will be the first smartphone to adopt Gemini Nano. Additionally, starting from December 13, developers and enterprise customers will be able to access the Gemini Pro API through Google AI Studio or Google Cloud Vertex AI to develop and deploy Gemini-based applications.

ChainCatcher news, according to Techcrunch, French artificial intelligence startup Mistral AI has completed a €105 million ($113 million) seed round financing, led by Lightspeed Venture Partners, with participation from Xavier Niel, JCDecaux Holding, Rodolphe Saadé, Motier Ventures, La Famiglia, Headline, Exor Ventures, Sofina, First Minute Capital, and LocalGlobe. Sources indicate that this financing values the company at €240 million ($260 million).It is reported that the company is a new venture formed by former researchers from DeepMind and Meta, aiming to compete with OpenAI and Google in the construction, training, and application of large language models and generative AI, developing generative artificial intelligence infrastructure. The company plans to release its first text-based generative AI model in 2024. (Source link）