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Find similar grantsThinking Machines Lab Safety Research Grants is sponsored by Thinking Machines Lab. Grants providing compute credits for safety research on open-weight models, including directions like differential defensive capabilities, evaluations, and making models safer to open. Applications via email with proposal.
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Announcing Interactivity Research Grants - Thinking Machines Lab Announcing Interactivity Research Grants We recently published a research preview of interaction models , an approach to AI designed for human collaboration. Collaboration requires interactivity — the capacity of a model to communicate in real time in different modalities in a way that is intuitive for people.
Most AI research in recent years has focused on intelligence and autonomy, with interactivity relegated to secondary importance. We aim to change that — with your help. We are awarding multiple grants of $100,000 (with an additional $25,000 in Tinker credits) for proposals on research that advances interactivity.
We encourage you to apply by June 19, 2026 to [email protected] . We are looking for research that lays the foundation for interactivity to scale along with intelligence. There are many potential avenues of interactivity research to pursue, here are some that we are excited about: Evaluations for real-time multimodal interaction.
How do we benchmark the real-time interaction ability of AI systems in real world use cases? The open research community is uniquely positioned to contribute independent, fair evaluations that push this work forward. Ensuring safety for multimodal real-time AI systems.
How do we detect dangerous requests and behaviors from users across modalities and respond in time? These problems pose unique challenges distinct from turn-based text-only safety. Explaining complex information with generative UI.
As AI systems perform increasingly complex tasks, it is important that they can explain their results in a variety of output formats such as SVG or HTML. How do we enable multimodal AI systems to explain their work so that people understand it? Steering agents during long-horizon tasks.
Current agents are optimized to perform long-horizon tasks autonomously without incorporating human feedback. How can humans effectively obtain real-time updates on the agents’ execution and steer it live? We are interested in training approaches and techniques for this capability as well as evals.
We are not limiting our grants to these specific directions. We welcome proposals on any topic that advances this space. Research on human-AI interactivity is still an emerging field, but we believe in its potential to shape the trajectory of AI development.
We’re excited to support this research and look forward to seeing your ideas.
According to the current listing, eligibility includes: Researchers and individuals working on AI safety projects that can be accelerated by additional compute credits on open-weight models. Confirm the full requirements in the official notice before applying.
The current listing shows up to $50,000 in Tinker credits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Thinking Machines Lab Safety Research Grants is funded by Thinking Machines Lab. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Tinker Research and Teaching Grants program is sponsored by Thinking Machines Lab. This program provides funding and computing credits to universities using the Tinker platform to train and customize large language models. It supports instructors incorporating the platform into courses and offers additional funding for research and course development, lowering the barrier to working with advanced AI systems and training the next generation of AI researchers and engineers.
Thinking Machines Lab is awarding Interactivity Research Grants to advance AI 'interactivity' — the capacity of a model to communicate in real time across different modalities for human collaboration. Each grant provides $100,000 plus $25,000 in Tinker compute credits. Priority areas include evaluation benchmarks for real-time multimodal interaction, safety mechanisms for such systems, generative UI for explaining complex results, and techniques for human steering of AI agents during extended tasks; proposals beyond these directions are welcome. The program targets researchers advancing foundation-model interactivity and human-AI collaboration.
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