Murati says AI must function like a tandem bike with humans
Thinking Machines Lab CEO Mira Murati stated that frontier AI must function like a tandem bike, requiring continuous collaboration between humans and machines throughout development. Speaking at Bloomberg Tech 2026, she emphasized that institutional checks and governance are crucial for safe AI development. Murati also highlighted her company's new interaction models that process audio, text, and video in real time.

*this image is generated using AI for illustrative purposes only.
Thinking Machines Lab CEO Mira Murati stated that frontier AI must function like a tandem bike, requiring continuous collaboration between humans and machines throughout development. Speaking at Bloomberg Tech 2026 in San Francisco on Friday, the former OpenAI CTO argued that the industry needs to move beyond the concept of simply keeping humans in the loop.
Murati described the tandem bike analogy as a system designed for collaboration. She explained that both humans and AI must be actively involved, with the stronger entity pedaling harder during difficult tasks, but both retaining control over the direction. This approach contrasts with the idea of human oversight as a mere checkpoint.
Governance Over Individual Authority
Murati emphasized that AI's future is not a predestined outcome and dismissed predictions of either dystopia or utopia as oversimplified. She called for institutional checks and balances to supersede individual authority, asserting that governance and transparency are as critical as the character of the technology builders.
Reflecting on her experience as interim CEO during OpenAI's November 2023 board crisis, Murati noted that weak institutional design carries significant costs. She argued that the conversation around AI leadership often focuses too much on individual character rather than decision-making structures.
Real-Time Interaction Models
Murati pointed to Thinking Machines Lab's recently unveiled interaction models as an early demonstration of this philosophy. These models continuously process audio, text, and video in real time, facilitating a working relationship where humans and AI operate together rather than independently. She warned that removing humans from AI development now would make alignment harder to achieve as systems become more capable.
How will Thinking Machines Lab's real-time interaction models be integrated into existing enterprise workflows to ensure active human collaboration?
What specific institutional checks and balances does Murati propose to replace individual authority in AI governance?
How might the 'tandem bike' approach impact the speed of AI development compared to current autonomous methods?
























