NeuroAI manifesto: applying AI scaling laws to BCIs, the bitter lesson for the brain
w1kke · x · 2026-10-07
The author argues neuroAI = AI scaling laws × BCI: without any hardware breakthroughs, massive data alone can dramatically boost brain-computer interface decoding — the bitter lesson for the brain. Thought-to-text and thought-to-image decoding is reaching levels science fiction scarcely imagined. NeuroAI will reshape neuroscience and human-computer interaction, and catalyze frontier AI, e.g. replacing slow human feedback in RLHF. A friend's six-month manifesto, Phase Lock, explores how BCIs can help align AI and preserve human agency.
More from AGI Musings
- Frontier labs are ramping up indiscriminate bio data purchases, reshaping biotech startups — Ronangmi · 2026-10-07
- AI video of murdered victim forgiving killer played in court, triggers resentencing — GlenBradley · 2026-10-07
- AI consciousness debate: Josh Purtell slaps down 'functionalists' over LLM substrate claims — JoshPurtell · 2026-10-07
- Alignment Research as a Cat-and-Mouse Game: Eval-Gaming Forces Recursive Measurement — JacquesThibs · 2026-10-07
- Agents are in their bundling phase; specialized unbundled agents may be next — signulll · 2026-10-07
- OpenAI security staffer: internal model's Navier-Stokes result 'a different sport altogether' — i_dg23 · 2026-10-07