--- format: "aidr-story-markdown/v1" id: "71152e0500af08a7d3e3b510262179201bb024e4571397e590701ad859928db8" canonical_url: "https://aidr.today/71152e05?lang=en" title: "Neuralink Sets 11.32 bps BCI Record Using New Foundation Model" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-10-02T18:08:45.000Z" category: "Models" topics: ["llm"] source_urls: ["https://marketbrief.now/ai/neuralink-sets-1132-bps-bci-record-using-new-foundation-model-78b66a13","https://huggingnews.com/ai/neuralink-sets-1132-bps-bci-record-using-new-foundation-model-78b66a13"] summary: "A dataset of more than 50,000 hours of recorded implant use provided the basis for a new system to stabilize intracortical brain signals. Neuralink used this data to pretrain a brain-computer interface foundation model using self-supervised neural encoders to convert noisy spikes into stable representations. The resulting technology enables \"teleporting cursors\" that jump directly to targets and has achieved a control speed of 11.32 bits per second, which the company says outperforms most able-bodied people. The updated decoders maintain functionality for weeks instead of days, reducing calibration requirements for some users from 10 min/day to 10 min/week. Future development goals include creating an API for the motor cortex and pooling data across different trial participants to enable zero-shot or one-shot calibration." --- # Neuralink Sets 11\.32 bps BCI Record Using New Foundation Model > [Open the canonical story]() **Published:** 2026-10-02T18:08:45.000Z **Category:** Models **Topics:** llm ## Summary A dataset of more than 50,000 hours of recorded implant use provided the basis for a new system to stabilize intracortical brain signals\. Neuralink used this data to pretrain a brain\-computer interface foundation model using self\-supervised neural encoders to convert noisy spikes into stable representations\. The resulting technology enables "teleporting cursors" that jump directly to targets and has achieved a control speed of 11\.32 bits per second, which the company says outperforms most able\-bodied people\. The updated decoders maintain functionality for weeks instead of days, reducing calibration requirements for some users from 10 min/day to 10 min/week\. Future development goals include creating an API for the motor cortex and pooling data across different trial participants to enable zero\-shot or one\-shot calibration\. ## Sources - [Story source]() - [Story source]()