Mar 9, 2026 · 53m · y-combinator
The Future Of Brain-Computer Interfaces · Y Combinator
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Y Combinator's 'How to Build the Future,' host Garry Tan interviews Max Hodak, Founder and CEO of Science and former President of Neuralink, to explore groundbreaking advancements in brain-computer interfaces, vision restoration, bio-hybrid neural grafts, and hard-tech engineering.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The partners hold 14.9% of the talking time here. How this is scored →
speaking balance: gold is the partners, purple is the guest (3 minute bins)
Max aggressively rejects the conventional dismissal of AI models as glorified autocompletes, stating plainly that critics making those claims do not know what they are talking about.
Hardest push from the partners ▶ 40:44 Rejecting the withdrawal of life supportGarry directly challenges the hospital's utilitarian calculus when hearing that an ECMO patient was removed from donor lists despite being conscious and functional.
Biggest teaching moment ▶ 20:00 Neural compression stack in the retinaMax delivers a precise technical explanation of why 100M bipolar cells preserve bitmapped spatial imagery while 1.5M optic nerve ganglion cells represent an unmapped 100x compressed codec.
The partners hold their own ▶ 36:15 Connecting cortical representations to latent spacesGarry demonstrates strong technical acumen by identifying that Max's description of inferotemporal object maps is isomorphic to machine learning latent spaces, steering the conversation toward AI-neuroscience convergence.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The partners as informed peer | Guest teaching | Guest disagreement | The partners pushing back | Why |
|---|---|---|---|---|---|---|
| Science's Vision Restoration Technology and Clinical Trial | 2 | 5 | 0 | 0 | Garry prompts Max with broad introductory questions about Science's recent clinical trial and the fundamentals of BCIs. Max educates the audience on the retinal implant mechanics and bypassing damaged photoreceptors. | |
| BCI Modalities, Risk vs. Reward, and Future Augmentation | 4 | 5 | 1 | 0 | Garry draws an analogy between capability restoration in AI and future human augmentation. Max reframes the conversation around practical risk-reward calculations, bandwidth limitations of current motor decoders, and aging as the primary initial driver for implants. | |
| Neuroplasticity, Learning with Feedback, and Brain Energy States | 3 | 7 | 1 | 0 | Garry asks whether BCIs require early childhood brain plasticity. Max breaks down common misconceptions regarding critical developmental periods versus lifelong feedback-driven cortical plasticity. | |
| Qualia of Vision Restoration and Conjoined Twins Case Study | 2 | 6 | 0 | 0 | Garry asks about the subjective experience (qualia) of visual restoration. Max details phantom percepts during rehab and references Canadian craniopagus conjoined twins to explore shared conscious bandwidth. | |
| The 10-Year Vision: Neural Engineering vs. Drug Discovery | 2 | 5 | 2 | 0 | Garry asks where the technology stands on a 5-to-10-year horizon. Max delivers a pointed critique of traditional pharmaceutical drug discovery, arguing that neural engineering offers fundamentally higher empirical success rates. | |
| Comparing Second Sight to Science's Bipolar Cell Approach | 4 | 5 | 1 | 0 | Garry recalls earlier attempts to stimulate the optic nerve with electricity. Max analyzes why Second Sight's epiretinal stimulation produced phosphenes rather than cohesive form vision. | |
| The Brain's API and the Unification of AI and Neuroscience | 4 | 7 | 1 | 0 | Garry relates biological signals to software inputs and outputs. Max provides an in-depth breakdown of the retinal compression stack and explains how Science isolated the bipolar cell layer and developed hyper-sensitive optogenetic proteins. | |
| Max's Early Inspirations and Vision for Consciousness and BCI | 3 | 4 | 1 | 0 | Garry inquires about Max's transition from software to biotechnology. Max challenges the popular framing that BCI is merely an adjunct to AI, arguing BCI is fundamentally about decoding consciousness and human health. | |
| The Biotech Takeoff Era and Science's Three Pillars | 4 | 4 | 0 | 0 | Garry draws an analogy between early retinal chips and the Altair 8800 launching the personal computer revolution. Max agrees and highlights that biotech has transitioned from incremental progress into a true takeoff era. | |
| Bio-Hybrid Neural Interfaces and Living Neuron Grafts | 3 | 6 | 0 | 0 | Garry asks how bio-coupling serves as a next-generation neural interface. Max explains Science's hypoimmunogenic stem-cell-derived neurons that form biological grafts rather than requiring permanent metal wires or in vivo genetic modifications. | |
| Lessons from Neuralink and Motor Cortex Representations | 3 | 5 | 0 | 0 | Garry asks about finding connection ports in the brain and operational lessons from Neuralink. Max describes the primary motor cortex representation and how direct proximity to motor synapses simplifies decoding. | |
| Brain Latent Spaces, Abstract Representations, and AI Convergence | 6 | 4 | 3 | 0 | When Max describes high-dimensional object representations in inferotemporal cortex, Garry connects this to machine learning latent spaces. Max enthusiastically validates this and dismisses critics who label AI models as simple stochastic autocompletes. | |
| Motor Decoding History, Transcutaneous Risks, and the Smartphone Dividend | 3 | 5 | 1 | 0 | Garry asks about historical motor decoding. Max explains that closing the skin to prevent transcutaneous infection was enabled by commercial smartphone microelectronics. | |
| Science's Vessel Project, ECMO, and Organ Perfusion Innovation | 3 | 6 | 2 | 1 | Garry asks about Science's Vessel organ perfusion program. Max recounts a tragic ECMO case study and criticizes the medical establishment's reluctance to view perfusion as a destination therapy. | |
| The Founding of Neuralink and Working with Elon Musk | 3 | 3 | 0 | 0 | Garry asks about the founding of Neuralink and working with Elon Musk. Max shares the backstory of Sam Altman's email, the Duke neuroscience network, and developing flexible polymer threads. | |
| Advice for Hard Tech Founders and the Oral Tradition of Silicon Valley | 3 | 4 | 1 | 0 | Garry asks for advice tailored to prospective hard-tech founders. Max reflects on the slog of his first company, Transcriptic, and emphasizes the value of learning from elite Silicon Valley operators through oral tradition. | |
| Looking Ahead to 2035 and Episode Conclusion | 3 | 4 | 0 | 0 | Garry asks about the long-term future. Max sets a personal predictive event horizon at 2035, speculating on extreme longevity and the distinct parallel trajectories of AI and brain-to-brain interfaces. |