Meta's Muse Glimmer distills its multimodal foundation to 30B parameters under Apache 2.0, targeting local deployment for coding, document analysis, and agent workflows.
The ANA Holdings spinout deployed voice-first customer service at Yamada Denki, proving multimodal real-time models can replace human sales expertise at scale.
Gemini Robotics ER 2 enables robots to reason about physical tasks, collaborate across multiple units, and adapt in real time using continuous video feeds.
Anthropic's faster models gain voice capabilities, enabling deeper problem-solving through speech in nine new languages.
Claude voice mode now supports three model tiers and integrates with Gmail, Slack, and Notion—positioning Anthropic against OpenAI's voice capabilities.
The startup founded by former OpenAI executives releases its flagship multimodal model, challenging the dominance of closed-source systems.
Inkling combines native image, audio, and text processing with a 1M-token context window and sparse MoE architecture for efficient multimodal reasoning.
A modular voice AI pipeline achieves sub-second latency by pairing Google DeepMind's Gemma 4 model with Cerebras inference acceleration, powering conversational robots and assistants.
Proton's encrypted AI assistant gains multimodal capabilities and 76% faster response times while maintaining zero-access encryption.
Gemini 3.5 Live Translate enables fluid, continuous speech-to-speech translation without manual language configuration, rolling out to Google Meet, Translate, and the Gemini Live API.
Google DeepMind releases Gemma 4 12B, a 12-billion-parameter model with unified vision and audio processing that runs on 16GB consumer hardware.
Google announced Gemini Omni, a multimodal model that generates and edits video through natural language, and Gemini 3.5 Flash, optimized for complex agent workflows.
Google unveiled Gemini Omni for video generation, Gemini 3.5 Flash for agents and coding, and autonomous Search agents that monitor the web 24/7.
Google unveiled Gemini 3.5 Flash at I/O 2026 as an agent-first model claiming frontier intelligence at sub-flagship latency, with Gemini Omni adding physics-aware video generation.
At I/O 2026, Google DeepMind unveiled Gemini Omni, a multimodal family that generates video from combined image, audio, and text inputs, signaling a shift from generative to simulational AI.
Google unveiled Gemini 3.5 Flash as the new default model, introduced Gemini Omni for text-to-video generation, and previewed always-on agents powered by Gemini Spark.
Gemini Omni Flash enables users to generate and edit videos through natural language prompts, combining multimodal inputs with real-world knowledge.
Google debuts AI agents, a redesigned search box, and Gemini 3.5 Flash integration in Search, targeting a billion-user base
Google unveiled Gemini Omni, a multimodal model capable of video creation, alongside Gemini 3.5 Flash and expanded agent capabilities across Search, Gmail, and shopping.
A new analysis shows that large language models excel at language tasks but struggle with seemingly simple visual reasoning—like reading analog clocks.