DeepSeek Doubles All Departments, Intensifying Race for Large Model Talent
On June 25, 2024, at 10 PM Beijing time, DeepSeek, a leading domestic AI company, released a new recruitment announcement stating its goal to at least double the size of all departments.
This large-scale hiring drive covers seven major categories including full-stack development, AI core system R&D, operations, product, and more, reflecting DeepSeek's strong strategic expansion ambition and solid financial and technical foundation during the critical phase of general artificial intelligence (AGI) research.

As a prominent innovator in the global large model field, DeepSeek made clear in this announcement that new employees will be allowed to directly take on the most core and important tasks, aiming to quickly build the backbone talent driving AGI development through an intensive, core-focused approach. Currently, the large model industry is moving from early exploration into the "pre-AGI era" of comprehensive capability expansion. Upgrading computing infrastructure and strengthening core R&D teams have become key factors determining which leading AI companies can achieve breakthroughs first.
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On June 25, 2024, at 10 PM Beijing time, DeepSeek, a leading domestic AI company, released a new recruitment announcement stating its goal to at least double the size of all departments.
This large-scale hiring drive covers seven major categories including full-stack development, AI core system R&D, operations, product, and more, reflecting DeepSeek's strong strategic expansion ambition and solid financial and technical foundation during the critical phase of general artificial intelligence (AGI) research.

As a prominent innovator in the global large model field, DeepSeek made clear in this announcement that new employees will be allowed to directly take on the most core and important tasks, aiming to quickly build the backbone talent driving AGI development through an intensive, core-focused approach. Currently, the large model industry is moving from early exploration into the "pre-AGI era" of comprehensive capability expansion. Upgrading computing infrastructure and strengthening core R&D teams have become key factors determining which leading AI companies can achieve breakthroughs first.
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
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Despite recent reports suggesting OpenAI missed revenue targets, creating pressure on tech stocks this Tuesday, private AI lab investors remain resilient. Seasoned backers have confirmed they will not reduce investment despite negative media coverage





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