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‘Holy shit’: Gemini 3 is winning the AI race — for now

Google recently launched its AI model, Gemini 3, which was integrated into Google Search on its release day. The model reportedly outperforms competitors, including OpenAI, in several benchmarks and has received significant user engagement, with over one million users accessing it within the first 24 hours. Logan Kilpatrick, product lead at Google DeepMind, noted that this model had the highest adoption rate seen for any of their releases.

Notable figures in the tech industry, such as OpenAI CEO Sam Altman and xAI CEO Elon Musk, have acknowledged the accomplishments of the Gemini team. Salesforce CEO Marc Benioff highlighted significant improvements in reasoning and speed compared to other models, remarking that using Gemini 3 was a transformative experience.

Wei-Lin Chiang, cofounder of the AI evaluation platform LMArena, observed that Gemini 3 Pro leads in various occupational categories and outperforms other top coding models. It also excelled in visual comprehension and achieved a score exceeding 1500 on LMArena’s text leaderboard. Chiang emphasized that the AI competition is now driven by models that demonstrate superior reasoning capabilities.

However, some industry professionals expressed caution regarding Gemini 3’s practical applicability in specific use cases. Many users, including those in coding, indicated they would not replace their current tools despite Gemini 3’s advancements. Concerns were raised about the model’s instruction-following abilities and user experience.

Experts like Joel Hron from Thomson Reuters noted improvements in performance for specific tasks but emphasized the necessity of real-world testing for comprehensive evaluation. Others, like Louis Blankemeier from Cognita, pointed out that while Gemini 3 shows promise, its effectiveness varied in niche fields such as radiology.

As AI technology continues to evolve rapidly, some observers wonder if the advancements of Gemini 3 signify a significant shift in the market or if existing models will retain their relevance.

Source: https://www.theverge.com/report/827555/google-gemini-3-is-winning-the-ai-race-for-now

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