MAAS: Mind as a Service
summary
Claims a wearable called Notion device reads motor cortex signals and runs ML on‑device, turning ~2000 numbers a second of microvolt data into predictions and intent events that fire after about a quarter to half a second past a 0.5 threshold. Demo uses a Kinesis API to trigger scrolling but a live demo with ~200 participants falls back to prerecorded video; earlier single‑user tests hit usable predictions. Target accuracy goals sit around 60–75% and a limited run ships before year end.
AI-written summary · about
chapters (22)
- 0:00Daily tech interactions
- 3:10Neurotechnology & brain-computer interfaces
- 5:20Notion brain-computer interface
- 8:11Thought-based motor interactions
- 10:43Notion JavaScript API
- 13:57Live motor imagery demo
- 19:37Intent-based Kinesis interactions
- 25:25Scroll demo with brain waves
- 33:55Scaling to hundreds of users
- 35:24Future Notion & Kinesis APIs
- 37:10Awareness API for cognitive state
- 40:23Hardware launch & open-source plans
- 42:54Mind-computer symbiosis future
- 43:14Q&A on multitasking & form factor
- 45:20Clarifying thought-based interactions
- 46:23Form factor & wearability concerns
- 48:31Ethics & mental impact
- 50:20Device precision limits
- 51:26Coding with thoughts
- 53:12Brain wave universality
- 53:33Brainwave data privacy
- 55:43Conclusion
