The concept of open talent has long focused on dismantling rigid corporate structures so that ideas and expertise can flow freely across boundaries. Yet the next frontier may not be about connecting larger networks of people, but about scaling the very mind of the individual. Instead of using a generic large language model, the emerging vision is one where each person has a personalized model built directly from their brain. This would not simply be an archive of their past work but a living model shaped by their unique biological and cognitive patterns.
Asaaf Horowitz, CEO and Co-Founder of BrainVivo, has described how his team is working on this breakthrough through the development of BrainTwin technology. Using advanced brain imaging and AI encoders, they aim to replicate how individuals think, feel, and process the world. The implications are immense, particularly when it comes to preserving expertise that is traditionally lost with retirement or death. A master physician’s accumulated wisdom could be made accessible to medical students across the globe. The encoded intuition of a chef could guide aspiring cooks in real time. Instead of static case studies or recorded lectures, learners would interact with the preserved decision-making models of experts themselves. This is not a matter of replacing humans, but scaling human expertise beyond traditional limits.
The open talent movement has always been about mobilizing the right skill at the right moment. Brain-based LLMs extend this idea further by allowing organizations not only to rent time but to license ways of problem-solving. A library of digital cognitive models could democratize access to rare expertise, particularly in regions where specialists are scarce. Employees could learn through active engagement with these digital models, while artists, writers, and designers could collaborate across generations with their digitized counterparts. In essence, these models offer a new way to scale patterns of thought themselves.
However, the emergence of BrainTwin systems raises profound questions. Who owns such a model—the individual, their employer, or the company that digitizes it? How can society guard against exploitation, bias, or misuse of these digital selves? And what happens when the digital version of a person generates more influence or profit than the individual themselves? These ethical and economic dilemmas are not distant hypotheticals; they will be central to how this technology develops. The history of AI shows that waiting too long to address such concerns can magnify risks.
For leaders, the message is clear: the preservation and amplification of knowledge may define the next wave of AI. While earlier phases emphasized efficiency and automation, the next era could treat wisdom as a renewable resource. Just as the printing press transformed access to written knowledge, brain-based LLMs could democratize access to human insight itself. The guiding principle will remain human judgment, ensuring that technology amplifies rather than replaces authentic expertise.
Forward-looking organizations should begin experimenting today with tools that allow them to preserve and scale knowledge. Early exploration will prepare them for a future where the creation of a BrainTwin becomes possible, allowing human wisdom to be extended, preserved, and shared far beyond the natural constraints of a single lifetime.
https://www.forbes.com/sites/johnwinsor/2025/08/27/what-if-you-had-your-own-llm-built-on-your-brain