中科院院士郑海荣：马斯克的脑机接口方案“太落后了”

Core Viewpoint - The article emphasizes the need to explore non-invasive brain-computer interface (BCI) technologies rather than invasive methods, as proposed by Chinese Academy of Sciences academician Zheng Hairong [2][3][9]. Industry Overview - The global BCI market is projected to grow from $2.35 billion in 2023 to $10.89 billion by 2033, indicating significant investment and interest in this sector [5]. - Major players in the BCI field include Neuralink, which focuses on invasive methods, and Synchron, which has developed a less invasive approach with support from tech giants like Apple and NVIDIA [2][7]. Technological Developments - Neuralink has reported advancements in its invasive BCI technology, with patients able to control complex devices using their thoughts, showcasing a leap from simple cursor control to intricate robotic manipulation [5][6]. - Synchron has achieved key safety milestones with its BCI devices, including FDA approval for temporary implants and successful long-term trials without severe adverse events [8]. Critique of Current Approaches - Zheng Hairong criticizes the invasive methods as "brute force engineering," arguing that they fail to understand the complexity of the human brain and its evolutionary history [3][9]. - He highlights the challenges of biological compatibility in invasive BCIs, noting that many electrodes fail due to the brain's natural resistance [6]. Alternative Approaches - Zheng advocates for a non-invasive approach that utilizes external technologies like ultrasound and fMRI to read and potentially write brain signals without penetrating the skull [9][10]. - This method aims to decode brain activity by observing the relationship between blood flow and neural activity, likening it to a soldier and their supplies [10]. Future of AI and BCI - Zheng outlines a three-stage evolution of AI, with the final stage being "biological intelligence" achieved through effective BCI integration [12][13]. - He envisions a future where hospitals transform into AI-driven data centers, moving away from traditional medical practices [14]. Ethical Considerations - The article raises concerns about the ethical implications of BCI technology, emphasizing the need for strong regulations to prevent misuse and ensure human control over technology [14][15]. - Global legislative efforts are underway to protect brain data, indicating a growing recognition of the ethical challenges posed by BCI advancements [15]. Timeline for Adoption - Zheng estimates that it may take 20 to 30 years for BCI technology to become a part of everyday life for the general public [17].