I like to take systems apart and ask why they were built that way.

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I grew up in the Bay Area, lived in China on a Fulbright, and now call Zürich home. Along the way I've worked at Google, co-founded a YC and Techstars-backed startup, and spent the last few years in crypto thinking about how decentralized systems actually distribute — or fail to distribute — power.

These days I'm interested in AI, what it means for geopolitics, and whether the people building it are asking the right questions.

I think in English, grew up in Russian, learned Mandarin just because it was hard, gave my heart to Spanish, and am currently losing a battle with German grammar.

Val sitting with her Rottweiler

Main quests

Now

Head of Product Design, Offchain Labs (Arbitrum)

If it has pixels, I run it: arbitrum.io, portal.arbitrum.io, bridge.arbitrum.io, and offchainlabs.com. Design for an ecosystem securing $17.6B.

Highlights

  • Age 10, got my first job by posting a Craigslist ad. Age 24, founded a SaaS company, acquired by HubSpot. Forbes 30 Under 30.
  • Security analyst at Google, then product designer
  • Melanoma researcher at Stanford; qualified for an undergrad position while still in high school
  • Researched the technical infrastructure of censorship in China under a Fulbright

Also

Product management, drone robotics FACES, APW, SABF, BTIC - an alphabet soup of youth leadership grants in China, Australia, Argentina, and New York

Side quests

acro
downhill laps
duo trapeze
figure skating
archery training with tim ferriss
wrestling
welding

Selected work

Things built with code, curiosity, and AI.

All projects →

Recent thoughts

Musings in the human condition.

All essays →

Thoughts

Musings in the human condition.

Manufactured Consent & AI

Manufactured Consent & AI

This Christmas break I guess I was feeling existential, so I read some Noam Chomsky.

In 1988, Chomsky co-authored Manufacturing Consent. His argument was simple: people in power don't need to force us to agree with them. They just use the media to curate what we see and hear until we believe their goals are actually our own.

He broke it down into Five Filters:

  1. Ownership: Media outlets are profit-driven corporations. They won't platform ideas that threaten the capitalist system that pays their bills.
  2. Advertising: Outlets sell us to advertisers. To keep the checks coming, they avoid anything too "controversial" or anti-corporate.
  3. Sourcing: The White House and the Pentagon provide a steady stream of "official" news. If a journalist challenges the source, they lose the access.
  4. Flak: If you stray too far from the consensus, you get hit with organized blowback — lawsuits, boycotts, and public shaming.
  5. The Common Enemy: You need a boogeyman to unite the masses. It used to be Communism; now it's "external threats" or whichever dictator is currently trending as the villain.

Chomsky actually borrowed the term from Walter Lippmann, who back in 1922 called the public the "bewildered herd."

Doom scrolling at the vet

I was thinking about this while doomscrolling in a vet waiting room. As I sat there, the algorithm fed me a highlights reel of modern chaos: Epstein file screenshots, a clip of Trump fumbling the Declaration of Independence, and Erika Kirk's hauntingly intense gaze.

While my bubble tells me that women's healthcare receives significantly less funding than research on male balding, their bubble tells them they are under attack and need to "reclaim dominance."

It's polarizing by design. AI has taken the consent manufacturing process out of the newsroom and shoved it into a black box.

Individualized propaganda

Chomsky's theory relied on mass media filters that hit everyone at once. AI has evolved this into individualized propaganda. A 2024 study in PNAS found that LLMs craft messages tailored to your specific psychological profile — significantly more persuasive than generic ones.

Custom-fitted dissent

We have entered a world where consent isn't just manufactured; it's custom-fitted. Lippmann's "bewildered herd" isn't being led by a shepherd anymore. We're being led by an algorithm that knows exactly which gate we'll walk through if it just shows us the right patch of grass.

Projects

Things built with code, curiosity, and AI.

informedgirl.com

Women's HealthSkincareResearch

Up-to-date analysis of the latest findings on women's health, skincare, anti-aging, pesticides, and microplastics.

ai-incest.com

AuditabilityAccountabilityAI

Exploring how AI's are related and who might be able to audit who.

Verifiable Claude

AIBlockchainClaude APIBrave API

Borrowing fraud proofs from blockchain to build a verification layer for AI. What if Claude had to prove its claims?