Gemini 3.5

Alphabet announces a proposed $80 billion equity offering, including a $10 billion investment from Berkshire Hathaway and a $30 billion underwritten offering, oversubscribed to an expected total of ~$85 billion. In 2026, CapEx is expected to reach $180–$190 billion—six times larger than 2022—primarily for AI infrastructure and compute. Q1 revenue rose 22% YoY to $110 billion and operating income 30% YoY to $40 billion, with AI momentum driving Search, Cloud, YouTube, and Waymo.

Google Cloud announced Gemini 3.5 Flash and Gemini Omni models at I/O, alongside Gemini Spark agents and CodeMender security tools, significantly enhancing enterprise AI capabilities in video generation, coding, and automation.

Google releases the Gemini 3.5 family, starting with 3.5 Flash for complex agentic workflows. It outperforms 3.1 Pro on coding and agent benchmarks and runs 4x faster, reaching 12x in Antigravity.

Google I/O announces the Agentic Era with Gemini 3.5 series models and multimodal Gemini Omni, enhancing AI agent capabilities and Gemini App interaction experiences.

Google released a series of new AI features and products, including the multimodal Gemini Omni model and Gemini 3.5 Flash, which can generate and edit videos through natural language conversation and perform excellently in agentic coding.

Google I/O 2026 introduced multiple AI products, featuring Gemini 3.5 Flash performance improvements, Anti-Gravity 2.0 with project management capabilities, and creative tools like Omni and Flow.

Google announced a transition from assistive AI to autonomous agents at I/O 2026, highlighting the Gemini 3.5 model series, upgraded Antigravity 2.0 agent-first platform, and new tools including Android CLI, Android Bench, and WebMCP to help developers build high-quality applications.

Google Search has launched a unified AI experience powered by Gemini 3.5 with agent-like reasoning across multimodal inputs, but lacks technical depth or evaluation metrics, making it a product announcement rather than an engineering analysis.

Gemini 3.5 marks the beginning of a new phase for Google's AI, representing the culmination of 2.5 years of infrastructure and team building with a strategic focus on the model as the product.

Google announced a new intelligent search box powered by Gemini 3.5 with agentic capabilities and multimodal input support, but provided no technical details, performance metrics, or architectural insights — purely a product launch announcement.

Google AI 宣布在搜索中集成 Gemini 3.5 模型，支持多模态输入，但该推文仅为产品发布预告，缺乏技术细节、架构说明或实证数据，信息密度极低。

Google's Gemini Spark runs on Gemini 3.5 model and uses the Antigravity framework, but the specific architecture or tool referenced by the term remains unclear, with developer community questioning whether Antigravity refers to a closed-source Go binary or generic term.

This X/Twitter post only contains a brief message from Google DeepMind pointing to Gemini 3.5 model related content.

A Twitter announcement about Gemini 3.5 model release, only listing product launch channels and mentioning price increases, without technical details or substantive migration guide content.

The tweet contains only a brief announcement and external link for the release of Gemini 3.5 by Google DeepMind, lacking specific technical details.