
Google Search Gains AI Agents, Hits 1 Billion Users
Google's AI Mode reached 1 billion monthly users at I/O 2026, as the company announced information agents, agentic booking, and generative UI set to transform Search this summer.
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Google's AI Mode reached 1 billion monthly users at I/O 2026, as the company announced information agents, agentic booking, and generative UI set to transform Search this summer.

Google unveiled three Android XR smart glasses form factors at I/O 2026, backed by Samsung, XREAL, Warby Parker, and Gentle Monster as launch partners.

Google's next video model surfaced in the Gemini UI a week before I/O 2026, showing editing-first features including in-chat watermark removal and object swapping.

Mira Murati's startup unveils TML-Interaction-Small, a 276B MoE model that hits 0.40-second response latency by listening and generating speech at the same time.

Three new papers show that more agent components backfire, reasoning models hide unsafe thinking, and vision-language models waste most of their attention.

OpenAI's second-generation real-time audio model with GPT-5-class reasoning, 128K context, five reasoning levels, and parallel tool calling - now generally available in the Realtime API.

xAI opened Grok 4.3 to all API developers on May 6 with an 83% output price cut, 1M-token context, native video input, and document generation - plus five legacy models retiring May 15.

A practical beginner's guide to AI photo editing - background removal, object erasure, and generative fill - using free tools anyone can start with today.

NVIDIA's new open omni model activates 3B of 30B parameters, processes video, audio, and documents in one pass, and delivers up to 9.2x higher throughput than other open omni models.

Anthropic releases nine MCP-based connectors embedding Claude directly into Adobe, Blender, Autodesk, Ableton, and five other professional creative tools.

NVIDIA's first open omni-modal model: 30B total / 3B active hybrid Mamba-MoE that processes text, images, audio, and video in a single inference loop, with 9x higher throughput than comparable open omni models.

Mistral's first flagship merged model: a dense 128B with configurable reasoning, vision, and 77.6% SWE-Bench Verified, self-hostable on 4 GPUs.