What happens when the world’s most famous biohacker and a leading network state theorist team up? You get a blueprint for a “Longevity Network State.” In this recent discussion, Bryan Johnson and Balaji Srinivasan discuss moving past the FDA era into an era of high-velocity biological characterization and startup societies.
TL;DW (Too Long; Didn’t Watch)
Balaji and Bryan argue that the primary barrier to human longevity isn’t just biology—it’s the regulatory state. They propose creating a Longitudinal Network State focused on “high-fidelity characterization” (measuring everything about the body) followed by a Longevity Network State where experimental therapies can be tested in risk-tolerant jurisdictions. The goal is to make “Don’t Die” a functional reality through rapid iteration, much like software development.
Key Takeaways
- Regulation is the Barrier: The current US regulatory framework allows you to kill yourself slowly with sugar and fast food but forbids you from trying experimental science to extend your life.
- The “Don’t Die” Movement: Bryan Johnson’s Blueprint has transitioned from a “viral intrigue” to a global movement with credibility among world leaders.
- Visual Phenotypes Matter: People don’t believe in longevity until they see it in the face, skin, or hair. Aesthetics are the “entry point” for public belief in life extension.
- The Era of Wonder Drugs: We are exiting the era of minimizing side effects and re-entering the era of “large effect size” drugs (like GLP-1s/Ozempic) that have undeniable visual results.
- Characterization First: Before trying “wild” therapies, we need better data. A “Longitudinal Network State” would track thousands of biomarkers (Integram) for a cohort of people to establish a baseline.
- Gene and Cell Therapy: The most promising treatments for significant life extension include gene therapy (e.g., Follistatin, Klotho), cell therapy, and Yamanaka factors for cellular reprogramming.
Detailed Summary
1. The FDA vs. High-Velocity Science
Balaji argues that we are currently “too damn slow.” He contrasts the 1920s—where Banting and Best went from a hypothesis about insulin to mass production and a Nobel Prize in just two years—with today’s decades-long drug approval process. The “Don’t Die Network State” is proposed as a jurisdiction where “willing buyers and willing sellers” can experiment with safety-tested but “efficacious-unproven” therapies.
2. The Power of “Seeing is Believing”
Bryan admits that when he started, he focused on internal biomarkers, but the public only cared when his skin and hair started looking younger. They discuss how visual “wins”—like reversing gray hair or increasing muscle mass via gene therapy—are necessary to trigger a “fever pitch” of interest similar to the current boom in Artificial General Intelligence (AGI).
3. The Roadmap: Longitudinal to Longevity
The duo landed on a two-step strategy:
- The Longitudinal Network State: A cohort of “prosumers” (perhaps living at Balaji’s Network School) who undergo $100k/year worth of high-fidelity measurements—blood, saliva, stool, proteomics, and even wearable brain imaging (Kernel).
- The Longevity Network State: Once a baseline is established, these participants can trial high-effect therapies in friendly jurisdictions, using their data to catch off-target effects immediately.
4. Technological Resurrection and Karma
Balaji introduces the “Dharmic” concept of genomic resurrection. By sequencing your genome and storing it on a blockchain, a community could “reincarnate” you in the future via chromosome synthesis once the technology matures—a digital form of “good karma” for those who risk their lives for science today.
Thoughts: Software Speed for Human Biology
The most provocative part of this conversation is the reframing of biology as a computational problem. Companies like NewLimit are already treating transcription factors as a search space for optimization. If we can move the “trial and error” of medicine from 10-year clinical trials to 2-year iterative loops in specialized economic zones, the 21st century might be remembered not for the internet, but for the end of mandatory death.
However, the challenge remains: Risk Tolerance. As Balaji points out, society accepts a computer crash, but not a human “crash.” For the Longevity Network State to succeed, it needs “test pilots”—individuals willing to treat their own bodies as experimental hardware for the benefit of the species.
What do you think? Would you join a startup society dedicated to “Don’t Die”?
