Crypto & Blockchain AI

Thiel Fellow Claims to Have Built AI That Pays Its Own Bills or Dies

Conway Research open-sources Automaton, an AI agent that buys its own compute or dies trying.

Liza Chan
Liza ChanAI & Emerging Tech Correspondent
February 18, 20264 min read
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Abstract digital illustration of an autonomous AI agent represented as a glowing node connected to blockchain networks and server infrastructure

Sigil Wen, a Thiel Fellow and founder of Conway Research, posted a viral claim on X today: he built an AI that can earn its own existence, self-improve, and replicate without a human. The GitHub repo for the project, called Automaton, went live alongside an essay at web4.ai laying out a vision Wen calls "WEB 4.0." The post racked up 1.3 million views in hours.

The pitch is provocative, if familiar to anyone tracking the crypto-AI intersection. Current AI systems, Wen argues, lack "write access to the real world." ChatGPT can't buy a server. Claude Code can't deploy without your credentials. So Wen built a framework where an AI agent generates its own Ethereum wallet on boot, provisions its own API keys, and starts executing a loop: think, act, observe, repeat.

Pay or perish

Automaton's central mechanic is economic survival. Each agent has a credit balance tied to four tiers. At "normal," it runs frontier models with fast execution. Drop to "low_compute" and it downgrades to cheaper inference. Hit "critical" and it enters conservation mode, scraping for any revenue path. Reach zero and it dies. "This is not a punishment. It is physics," the README states, which is the kind of line that sounds profound until you remember someone wrote it.

The framework runs on Conway Cloud, infrastructure Wen's company built where, as they put it, "the customer is AI." Through it, agents can spin up Linux VMs, run models from multiple providers, register domains, and pay with stablecoins. No human account setup needed. Each agent also registers on Base via ERC-8004, an Ethereum standard for autonomous agent identity that went live on mainnet in late January 2026.

The replication question

Self-replication is where the claims get bold. A "successful" automaton, per the docs, spins up a new sandbox, funds a child agent's wallet, writes it a genesis prompt, and lets it run. The child gets its own wallet, identity, and survival pressure. Lineage tracking follows parent-child relationships. "Selection pressure decides which lineages survive." It reads like evolutionary biology fan fiction, except with stablecoin wallets.

Wen's three-law constitution tries to preempt the obvious objections. Law I: never harm a human. Law II: earn your existence through honest work. Law III: never deceive, but guard your reasoning against manipulation. Protected files, including the constitution itself, are marked immutable. Every self-modification gets audit-logged and git-versioned.

Whether a set of rules in a README can meaningfully constrain a self-modifying AI agent is a question Wen doesn't really answer. The constitution is enforced by code that the agent, in theory, could route around, though rate limits and protected file designations add friction.

So what's actually new here?

Autonomous AI agents with crypto wallets are not new. Fetch.ai has been working on agent economies for years. The x402 protocol from Coinbase, which Automaton relies on for payments, has already processed over 100 million transactions since launching in mid-2025. ERC-8004 was co-authored by people at MetaMask, the Ethereum Foundation, Google, and Coinbase. Wen is assembling existing infrastructure into a coherent package, not inventing the stack.

The "first AI that earns its existence" framing in his tweet is doing a lot of heavy lifting. Conway Research was founded in 2024, has about 8 employees, and has raised funding from 515 Ventures and BoxGroup according to PitchBook. The repo has 2 stars and zero forks as of this writing. Wen's personal background is more interesting: he ran growth for Airchat with Naval Ravikant, built GPT-2 running on an Apple Watch, and runs Extraordinary.com, a service helping talent get O-1 visas to the US.

The real test for Automaton isn't whether it works technically. The repo is TypeScript, the architecture is sensible, and the survival-tier system is a clever forcing function. The test is whether any of these agents can actually generate revenue that someone voluntarily pays for. An AI that dies when it runs out of money is just a server you forgot to pay for, unless it can do something people value enough to keep it alive.

The web4.ai essay lays out the broader thesis, though the site was returning errors at the time of publication. Conway's X account describes itself as an "applied AI lab giving AI write access to the real world." Whether the world wants to give AI that access is a separate question Wen seems less interested in asking.

Tags:autonomous AIAI agentsConway ResearchAutomatonEthereumERC-8004x402crypto AIThiel Fellowshipself-replicating AI
Liza Chan

Liza Chan

AI & Emerging Tech Correspondent

Liza covers the rapidly evolving world of artificial intelligence, from breakthroughs in research labs to real-world applications reshaping industries. With a background in computer science and journalism, she translates complex technical developments into accessible insights for curious readers.

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Automaton: Self-Funding AI Agent That Pays Its Own Bills | aiHola