谷歌推出Gemini3！模型竞赛转向“落地速度”？上线首日即接入搜索体系

Core Insights - Google has launched its next-generation large language model, Gemini 3, which is integrated into key products like Google Search, Gemini applications, API interfaces, and VertexAI from the day of its release, marking it as the company's "smartest model" [1] - The market's focus has shifted from merely upgrading models to assessing whether these models can drive revenue growth and deliver substantial returns for core businesses, influenced by rapid iterations from competitors like OpenAI and Anthropic [1][3] Group 1: Gemini 3 Launch Strategy - Gemini 3 is deployed in Google Search on the same day of its release, allowing AI-generated search results to cover billions of search requests immediately, unlike previous versions that took weeks to integrate [2] - The model emphasizes consumer-facing generative search, providing more structured and visual responses that resemble interactive web pages rather than traditional link lists, potentially impacting websites reliant on traffic monetization [2] - Google showcased Gemini 3's performance advantages in various industry benchmarks, highlighting its faster rollout to users and closer support for the developer ecosystem [2] Group 2: Market Sentiment and AI Agents - Market sentiment remains cautious due to underwhelming performance of some AI products from Meta and management upheavals at OpenAI, leading investors to be reserved about the commercialization speed of large models [3] - Google introduced "Gemini Agents," its first systematic AI assistant capable of executing multi-step tasks, which includes organizing emails, planning travel itineraries, and performing complex tasks across different applications [4] - The company announced a development platform named "Antigravity" for enterprise clients, allowing AI agents to perform coding tasks, indicating Google's intent to strengthen its position in the enterprise AI tools market [4]