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Insiders: DeepMind founder Hassabis is considering leaving Google, as Google's management is concerned about a sharp drop in stock prices and has postponed his departure

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.

hot_img DeepSeek V4 Flash's weekly call volume exceeds 70 trillion tokens, ranking first in the world, with four out of the top five domestic models

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.
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