Alphabet持有的Anthropic股份价值飙升至约1240亿美元
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Google reorganizes its AI programming task force to catch up with Anthropic
According to Beating, Google is restructuring its AI programming task force, which was only established a few months ago, to catch up with Anthropic. The restructuring will expand the task force's scope of work and transform it from a short-term project team into a formal structure. During the restructuring, Google suffered the loss of two core researchers. Last week, Noam Shazeer, one of the founders of Transformer, suddenly left to join OpenAI, reportedly due to Google's consolidation of computing resources restricting Shazeer's access. On Saturday, Nobel laureate and DeepMind VP John Jumper announced he was joining Anthropic; Jumper had been transferred to the programming task force before leaving. The departure of core researchers caused Alphabet's stock price to plummet 5% on Monday. The core of the restructuring is adjusting the model training process. Google is expanding the programming task force into a mid-training team, positioned between pre-training and post-training. The mid-training team will take over the programming and other model capability extensions previously handled by the post-training team, while the post-training team will focus on optimizing human-computer interaction. By subdividing stages and clarifying responsibilities, Google is attempting to accelerate the improvement of model capabilities. Behind the restructuring is the fact that programming has become the most valuable component of AI services. Anthropic, leveraging its programming tools advantage, saw its annualized revenue reach $47 billion last month, more than three times its February level. In contrast, Google initially underinvested in programming, mistakenly believing its robust foundational models would automatically acquire programming capabilities. Despite co-founder Sergey Brin and DeepMind CTO Koray Kavukcuoglu personally participating in programming task forces, Google's programming applications have struggled. The Antigravity tool received a lukewarm reception due to numerous vulnerabilities upon its initial release, the Gemini 3.5 Flash was criticized by developers for its high price and user-centric approach, and the flagship Gemini 3.5 Pro model has yet to be released.
Sources say OpenAI, Anthropic, and Google are offering hefty computing power subsidies to startups to compete for enterprise clients.
According to a report by Odaily Odaily, citing sources cited by The Wall Street Journal, OpenAI, Anthropic, and Google are offering startups hundreds of thousands of dollars worth of computing resources and other incentives to attract new enterprise customers. (Jinshi)
Alphabet (GOOGL.O) fell 1.3% in pre-market trading.
Odaily that Alphabet (GOOGL.O) shares fell 1.3% in pre-market trading. This follows reports that Alphabet's Google lost a €4.1 billion antitrust lawsuit against Android in an EU court.
Google plans to reorganize its AI programming "strike force" in an effort to catch up with Anthropic.
PANews reported on June 25 that, according to The Information, Google (GOOG.O) plans to reorganize its AI programming "strike force" in an effort to catch up with Anthropic.
Google reorganizes its AI coding task force to catch up with Anthropic's high-profit commercial AI business.
According to Mars Finance, sources familiar with the matter revealed that Google is reorganizing its recently established task force focused on developing AI coding tools, attempting to narrow the gap with Anthropic in the most lucrative cutting-edge AI application sector. This task force, formed only a few months ago, will adjust Google's training approach for large-scale models, simultaneously improving model code generation capabilities and creation capabilities for various scenarios such as PowerPoint presentations. This adjustment aligns with the strategic direction of Anthropic and OpenAI: both are expanding their AI coding tools to various enterprise office business scenarios. In addition to broadening the task force's business scope, this restructuring also solidifies this previously short-term project-based team into a permanent, formal organization. This reorganization coincides with the departure of two core executives, raising market concerns about Google's ability to continue leading the development and iteration of high-performance large-scale models. (Cailian Press)
Google faces increasing pressure from AI talent drain: Two more core researchers leave for Anthropic
Mars Finance reported on June 25th that Jonas Adler and Alexander Plitzer, core developers of Google's Gemini large-scale model, have confirmed their departure from Google to join the AI company Anthropic. Sources familiar with the matter revealed that Adler led Google's AI programming efforts, while Plitzer was deeply involved in the AI model training process. Both are considered key contributors to the Gemini model internally. This will further exacerbate the talent drain within Google's core AI R&D team. Not long ago, Norm Shazel, a senior researcher with over two decades of experience in AI, officially announced his departure to join OpenAI; following Shazel, John Jampere, head of Google DeepMind, also announced his move to Anthropic. (Wide Angle Observation)