My core thesis on the future of scientific discovery is a move from institutions to networks, driven by powerful AI and DeSci. The @bioprotocol launch is a foundational event in this timeline. The future is scientific agents on crypto rails. @triplicate_xyz article in comments!

The solution isn't iterating on broken systems. We need new infrastructure: decentralized compute networks, scientific DAOs testing novel incentive structures, and bridge programs helping researchers transition from institutions. All built for an AI-first research world. 8/8

But risks exist: AI-powered labs could create knowledge gaps that grow exponentially wider than today's academic divides. DAOs might optimize for token value over scientific truth. The speed of discovery could outpace our ethical frameworks. We need careful system design. 7/8

The 'publish or perish' model is breaking science. 50% of preclinical research can't be reproduced, negative results stay hidden, and young scientists are fleeing academia. Instead, we can reward reproducibility, share negative data, and fund risky but transformative work. 6/8

DAOs enable radically new research models: contributors stake compute/capital/IP rights for governance, scientists get direct funding & AI resources, and returns flow back to stakeholders. 5/8

Universities centralized research because 1940-70s science needed physical proximity - shared labs, informal collaboration, direct mentorship. When AI can simulate biology & chemistry while coordinating global research teams, the $100B university research model crumbles. 4/8

Modern science is rate-limited by bureaucracy, not physics. The median age for first NIH R01 grants is 42, and researchers face 80%+ rejection rates. When powerful AI can generate & test thousands of hypotheses per second, this entire funding model becomes obsolete. 3/8

The convergence of powerful AI + crypto will deinstitutionalize science. In a world where Nobel-level AI agents can run experiments 24/7 and DAOs can coordinate global research without overhead, universities become bottlenecks rather than enablers. 2/8 https://t.co/bWvNguxglB

Our first research article "TR01: From Institutions to Networks" details how the convergence of crypto and AI will catalyze the deinstitutionalization of science. Link in comments. 1/8

the limitations to scientific progress are not epistemic. the low hanging fruit has not been picked. stagnation is a function of perverse institutional incentives and hyper-bureaucratization. we need deinstitutionalization + new institutions.

In biomedicine, we try to understand the ocean by building better microscopes to study individual water molecules. Stagnation hides behind a superficial facade of progress. We need better explanations, more integrated theories, and less reductionist approaches.

Find out more about AminoChain below and follow their journey! https://t.co/GhWVuK5wTP

We believe that the best use cases for web3 x science + healthcare are only visible to the rare founders and teams that actively straddle these disparate worlds. Caspar and his team fit the bill perfectly. We are excited to see them revolutionize the space.

AminoChain powers the modern handling of biosamples by connecting data across healthcare companies. They connect worldwide inventories of bio-sample and research data to power the next generation of pre-clinical research economies.

We are thrilled to support @Amino_Chain as our first investment! We met @casparbarnes123 at DeSci Berlin in 2024 and were blown away by the team's ability to rapidly deliver on a vision that we believe will completely transform modern biobanking.

Crypto might be the key to the future of science 👀 We spoke to @GolatoTyler on Internet Explorers last week about DeSci, & covered ai16z, memecoins, and more 👇

Deep gratitude to NiMA @insideNiMA for curatorial, visionary, and production support; Edge City @JoinEdgeCity and particularly Timour Kosters @timourxyz and Janine Leger @JanineLeger for hosting the event in Chiang Mai; StreamETH @streameth for executing the A/V and talk

We ended with a richly engaging panel involving all speakers, and followed up with a 3-hour salon with over 25 participants. We see these engagements as representing early steps toward a future where cognitive technologies bolster rather than diminish human sovereignty.

https://t.co/z5HmNnPANW Warren @ambigrammarian challenges "encephalocentrism" in popular neurotech discourse and advocates for neurotech designs incorporating peripheral nervous system data, especially in augmentative applications, to create more effective and agency-conducive

https://t.co/ytAj7aIUjV Garnet Dupuis examines the role of brain signal variability in cognitive health and presents a non-invasive approach to shifting neural dynamics through "high-energy brain resets" with his neuroVIZR design.