Saraswat · Writing

Articles & Essays

On AI infrastructure, ZK proofs, post-quantum crypto, privacy, and the philosophy of building.

Personal · ExpressionJun 20264 min read

Freedom to Speak to Myself

“I grow. I find I can speak — memories, experiences, technicality, work, the books I read, the fights I've had, the people I've sat with in California. The thoughts that come naturally. That's what I want to protect.”

The Thought That Belongs to Me

There is a specific feeling that happens when a thought forms that is completely yours. Not a thought you performed for an audience. Not a thought shaped by the awareness of being watched. Just a thing that arrived — a memory, a connection, an idea that grew from experience and silence and reading and living.

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PhilosophyJun 20266 min read

On Building Things That Cannot Lie

“Every system I build is, at its core, a statement about what I believe to be true. Not a claim — a proof. The code either works or it doesn't. The proof verifies or it doesn't. There is no spin in a hash function.”

Why I Build

I did not start building systems because I wanted a career. I started because I found something deeply satisfying in the act of making a thing that works — not works-for-now, not works-on-my-machine, but provably, verifiably, repeatably works.

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Featured Essay

Essay · StrategyJun 20268 min read

Human Capital + Token Capital: The Firm in the Age of AI

“This transition is different than any previous platform shift. For the first time we can create a real cognitive loop between people and digital systems — where AI can absorb the expertise of humans and organizations and commoditize it.”

The Platform Shift That Is Different

Every previous platform shift — mainframe to PC, PC to internet, internet to mobile — used digital systems to enhance human capital. Productivity tools that made humans faster. Communication tools that made humans better connected.

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AI × ZK ProofsJun 20265 min read Also on X

AI agents can't be trusted. ZK proofs fix that.

“Every AI agent running today is a black box. It produces outputs. You can't verify HOW it got there. That's not infrastructure — that's a promise.”

The Trust Problem in AI Systems

Every AI agent running today is a black box. It takes an input. It produces an output. You can log it, monitor it, wrap it in observability tooling — but you cannot fundamentally prove what happened between input and output.

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Post-QuantumJun 20266 min read Also on X

The AI systems we build today will be broken by quantum computers.

“Most AI infrastructure encrypts with RSA or ECDSA. Shor's algorithm breaks both. Cryptographically relevant quantum computers are 10–15 years out. Most production systems will still be running then.”

The Harvest-Now-Decrypt-Later Threat

This is not a future problem. It is a present problem with a future detonation date.

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eBPF × SecurityJun 20265 min read Also on X

You can't secure what you can't see — eBPF for AI agent networks.

“AI agents make network calls. Most teams monitor at the application layer — logs, traces, HTTP middleware. That's too late. Attackers who compromise the agent bypass app-layer observability entirely.”

Why Application-Layer Monitoring Fails for Agents

An AI agent that calls external APIs, sends data to LLM providers, queries vector databases, and coordinates with other agents over a network is, at its core, a networked process. Security depends on understanding exactly what that process communicates, to whom, and when.

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