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Thinking Machines Lab has introduced a research preview of TML-Interaction-Small, a 276B parameter Mixture-of-Experts model with 12B active parameters, built around a multi-stream, time-aligned micro-turn architecture that processes 200ms chunks of audio, video, and text simultaneously — eliminating the need for external voice-activity detection harnesses. Unlike standard turn-based models that freeze perception during generation, the system runs two components in parallel: a real-time interaction model that maintains continuous full-duplex exchange with the user, and an asynchronous background model that handles sustained reasoning and tool use while sharing the full conversation context throughout. The post Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration appeared first on MarkTechPost.
Read full articleInsider Brief PRESS RELEASE — Text, the company behind LiveChat, ChatBot and HelpDesk, is revealing details of its strategic shift aimed at turning customer service into a profit engine with the help of new features powered by AI Agents. Text announces the release of Shopify-native AI selling agents, designed to move customer service teams beyond answering questions to actively […]
Google's Gemini Omni is a new multimodal model that reasons across text, images, audio, and video to generate and edit videos through simple conversation — starting with Omni Flash.
The Thinking Machines Lab founder and former CTO of OpenAI tells WIRED she isn’t interested in automating people out of jobs. Instead, she’s building AI that can collaborate.
A Unified Experience With this launch, Copyleaks is delivering a unified detection suite that allows consumer users to verify the authenticity of text and images in a single, seamless view. It is now easier than ever to check for AI-generated text, identify synthetic images, and scan for plagiarism simultaneously. Whether it’s for verifying an essay, […] The post Clarity in the Age of AI: Copyleaks Launches the AI Image Detector for Consumers appeared first on Copyleaks.
Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has announced a new class of AI called interaction models, designed to process input and generate responses simultaneously rather than sequentially. The approach, known as full-duplex communication, enables the AI to respond mid-conversation in a manner closer to a natural phone call than a turn-based […]
Thinking Machines, the AI company founded by former OpenAI CTO Mira Murati, announced Monday that it's working on something called "interaction models." The idea behind interaction models, according to Thinking Machines, is that they will let people "collaborate with AI the way we naturally collaborate with each other - they continuously take in audio, video, and text, and think, respond, and act in real time." As explained by Thinking Machines: Today's models experience reality in a single thread. Until the user finishes typing or speaking, the model waits with no perception of what the user is doing or how the user is doing it. Until th … Read the full story at The Verge.
How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.
AI agent systems today juggle separate models for vision, speech and language — losing time and context as they pass data from one model to the other. Unveiled today, NVIDIA Nemotron 3 Nano Omni is an open multimodal model that brings these capabilities together into one system, enabling agents to deliver faster, smarter responses with […]
