Thinking Machines Interaction Model: AI Beyond Chatbots

Acti is the world's first agentic smartphone keyboard, built by TypeX Limited for iOS and Android. Instead of just rewriting text, you type an intent anywhere, long-press the Acti Bar, and Acti retrieves the right result, link, or action inline - pulling a Notion doc, finding a nearby restaurant, grabbing a live sports schedule, or firing a Calendar action without leaving the conversation. Users build no-code Skill Keys that mash up 100+ APIs and apps into custom mobile workflows, share them in the Acti community, and every Skill runs only on explicit trigger with permission-based OAuth. Backed by Google AI Startups, Acti was ranked #1 on Product Hunt's July 2026 monthly leaderboard and covered by TechCrunch, Digital Trends, and Superhuman for turning the keyboard itself into an AI agent surface. It targets anyone who lives in messaging, email, and text fields and wants the agent to come to where the work already happens.

Thinking Machines Interaction Models is a research-preview AI model experience for real-time human-AI collaboration across audio, video, and text. It focuses on micro-turn interactions, letting people and AI systems exchange short, fluid signals instead of waiting for long prompt-and-response cycles. Teams can use the work as inspiration for collaborative interfaces, multimodal assistants, shared creative tools, and agent workflows where timing and context matter as much as raw model capability. It is most relevant for AI product builders, researchers, interface designers, and developers exploring the next generation of interactive systems. What makes it stand out is the emphasis on coordination: the model concept treats AI as an active collaborator that can listen, respond, and adapt continuously across multiple communication modes.

Modal is a cloud compute platform for running AI, data, and backend workloads without managing servers. Developers can package Python functions, schedule jobs, expose APIs, and scale GPU or CPU tasks from code while Modal handles provisioning and execution. It fits AI engineers, research teams, and startups that need fast infrastructure for model inference, batch processing, or automation pipelines. Its appeal is the developer workflow: infrastructure feels close to normal programming, making it easier to move experiments into production-grade services. It also reduces operational overhead for small teams that want production reliability without spending days wiring cloud primitives together. today.