Former OpenAI researcher predicts brain-controlled AI coding agents by 2027

NewsFri, 07 Aug 2026 07:00:35 UTC3 hours ago
Former OpenAI researcher predicts brain-controlled AI coding agents by 2027

Former OpenAI alignment researcher Naomi Bashkansky said she resigned from the AI company on July 23 and joined Conduit the next day as a founding researcher. At Conduit, she will work on models designed to turn non-invasive neural recordings into text that can direct AI agents, a goal her essay calls “telepathy.”

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Bashkansky said she spent about 1.5 years at OpenAI, and described the new role in an Aug. 4 essay. She predicted that a headband could decode rough intentions into prompts for an AI coding agent in 2027.

Her later scenarios envision AI systems consuming neural representations directly by 2030 and two-way “read and write” technology by 2035.

She called those vignettes optimistic predictions, and the essay includes no launch commitment for any of them.

Current thought-to-text studies decode constrained speech-related brain activity, while portable, free-form communication remains unproven despite forecasts extending to 2035.

The data-scale bet

In a December 2025 account, Conduit said it had gathered roughly 10,000 hours of neuro-language data from thousands of people. Participants wore multimodal headsets while typing, speaking, reading or listening during sessions with a language model.

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