human trials AI News & Updates
Science Corp. Advances Biohybrid Brain-Computer Interface Toward First Human Trials
Science Corporation, founded by former Neuralink president Max Hodak, is preparing to conduct first US human trials of a biohybrid brain-computer interface that combines lab-grown neurons with electronics. The company has recruited Yale neurosurgeon Dr. Murat Günel to lead trials of an advanced sensor that will rest on the brain's surface, with initial tests planned for patients already requiring brain surgery. Unlike conventional electrode-based BCIs, this approach aims to create biological integration between electronics and the brain to treat neurological conditions and potentially enable human enhancement.
Skynet Chance (+0.04%): The development of biohybrid interfaces that integrate lab-grown neurons with electronics represents a novel pathway for brain-computer integration with potentially more durable and sophisticated control mechanisms. While currently focused on medical applications, the explicit goal of human enhancement and adding new senses introduces alignment challenges around augmented cognitive capabilities.
Skynet Date (+0 days): This represents an alternative technological pathway to brain-computer interfaces that may take longer to mature than conventional electrode approaches, slightly delaying potential risks. However, if successful, biological integration could ultimately enable more powerful human-AI coupling than current methods.
AGI Progress (+0.03%): Biohybrid brain-computer interfaces could enable more sophisticated bidirectional communication between biological and artificial intelligence systems, representing progress toward tighter integration of human cognition with AI. The biological approach may overcome limitations of electrode-based systems and enable more complex neural interfacing crucial for AGI-human collaboration.
AGI Date (+0 days): The $1.5 billion valuation and $230 million funding, combined with concrete plans for human trials by 2027, accelerates development of advanced brain-computer interfaces. This technology could speed pathways to AGI by enabling direct neural interfaces for AI systems to interact with human intelligence and learn from biological neural processing.