Neuralink Patient Uses Brain Implant and Generative Artificial Intelligence to Communicate

Bradford G. Smith, the third Neuralink recipient and first nonverbal ALS patient, uses generative Artificial Intelligence to enhance communication via his brain implant.

Bradford G. Smith, a nonverbal ALS patient and the third person globally to receive a Neuralink brain implant, is pioneering the intersection of brain-computer interfacing and generative Artificial Intelligence. Implanted with the Neuralink device—thin wires attached to a small computer in his skull—Smith can control a computer with his thoughts, moving a pointer across his screen. He communicates primarily through this system, making public appearances on Musk-owned social media platform X, where he announced his achievement and engaged in a Q&A with users.

Key to Smith’s enhanced communication is his use of Grok, Elon Musk’s Artificial Intelligence chatbot, which drafts and suggests responses based on prompts provided by Smith. This integration accelerates his ability to participate in conversations, but it has sparked discussions about the authenticity of such exchanges and the blurred line between his own voice and Artificial Intelligence assistance. In personal correspondence, Smith confirmed that while he supplies the thoughts and content, Grok generates full replies for him to review and post. The process allows Smith to convey complex thoughts more efficiently than with previous technologies, such as eye-tracking systems, and enables him to communicate in a wider range of environments, not just in controlled indoor settings.

Smith’s story raises broader neuroethical questions regarding the integration of brain implants with Artificial Intelligence, particularly concerning agency, identity, and the boundaries of human-machine collaboration. In addition to Grok, Smith uses Artificial Intelligence-based voice synthesis from ElevenLabs to reconstruct his pre-illness voice, allowing him to speak engagingly through his written words. Neuralink engineers also employ language models to provide suggested replies for rapid communication. Smith is now seeking a more personalized language model trained on his past writing, aiming for an even closer alignment between technology and his unique communication style. This case highlights both the transformative possibilities and ethical debates at the convergence of neurotechnology and generative Artificial Intelligence.

88

Impact Score

Huawei chip design raises pressure on Nvidia, AMD, and Intel

Huawei has outlined a new chip design framework that it says can improve efficiency and reduce dependence on leading-edge manufacturing tools. The move adds pressure on US chipmakers as China builds a domestic Artificial Intelligence semiconductor ecosystem under export restrictions.

UK and EU seek simpler medical device rules

The UK and EU are advancing medical device regulatory changes aimed at improving predictability, reducing bottlenecks and supporting market access. Manufacturers of Artificial Intelligence-enabled devices in Europe will still need to navigate overlapping rules even as compliance timelines are extended.

LLMSurgeon targets foundation model data auditing

LLMSurgeon introduces a way to infer the domain mix of large language model pretraining data using only generated text. The framework is designed to improve transparency around foundation models whose training corpora remain largely undisclosed.

Databricks model units target lower inference costs

Databricks is positioning model units as a new way to manage large language model inference, aiming to cut GPU spending while improving reliability under enterprise-scale demand. The approach reflects growing pressure on platforms to balance cost, latency, and resilience as agentic Artificial Intelligence workloads expand.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.