geomatrick 🌐 👷 💻

Thrilled to get to work closely with the great @AnomalRoil

Excited to launch a new podcast dedicated to conversations on the future of neurotech, computing, intelligence, and more. First guest: @maxhodak_ founder & CEO of @ScienceCorp_, which is building PRIMA, a retinal prosthetic that’s restoring meaningful vision for patients with blindness caused by age-related macular degeneration. Science is also developing a biohybrid brain implant that grows living neurons directly onto a silicon chip, then interfaces that system with the cortex. The possibility space here is vast and new. Imagine growing new areas of the brain. Sections 00:00 What counts as neurotech? 01:45 History of brain-computer interfaces and the smartphone dividend 07:25 PRIMA - How Science is restoring vision in blind patients 10:10 Why stimulating bipolar cells works when the optic nerve doesn't 30:30 Are we bottlenecked by biology or engineering? 32:40 Expanding the brain's bandwidth beyond 10 bits per second 37:00 Can we add new areas to the brain? 37:46 Biohybrid BCIs: neurons growing on a chip 39:20 What could neural augmentation look like? 01:13:20 How Science drives Fast R&D 01:44:00 How founders learn and level up This is the kind of discussion I’m excited to explore on this podcast. Enjoy! Full Episode 1 here and in links below.

I'm in SF this week around HumanX. If you're thinking about private inference, secure model deployment, or confidential computing, I'd love to talk about what we are up to at @Confi_AI

@LunalDotDev @NVIDIAGTC Nvidia move into open source agentic with Nemoclaw

What's been your biggest learning from @NVIDIAGTC so far?

TEEs are the answer. Lunal makes deploying AI onto Trusted Execution Environments trivial. The first lab to offer private inference as a service tier will trigger a domino effect. If you're building in this space or need this now - reach out. Lunal.dev

Three parties all have the same problem: companies won't send proprietary data to LLMs. Labs need their model weights secure. Hyperscalers need both to trust them. Three parties, one shared need: end-to-end AI privacy.

AI is the most powerful technology of our lifetimes. Right now it's being built in a way that concentrates power, data and trust in a handful of companies. I've spent my career pushing against that. Today I joined @LunalDotDev as part of the founding team. 🧵

Full post here 👇 geomatrick.io/blog/ai-agents…

But there is room for improvement. The opportunity now: build AI agents that take sovereignty seriously. Sovereignty + convenience as co-equal goals. Private inference seems to be the next big unlock.

Web3 gave us the right vision for a sovereign internet. But AI agents might finally make it a reality.

A quiet shift happened in December: SWEs largely stopped writing code themselves. What used to require four different roles, SWE, SRE, PM, EM, a sharp person can now own end-to-end. We're not just seeing better tools. We're watching job categories collapse in real time