Chamath's Bitcoin-to-Zero Warning, Bitcoin-Powered AI in Signal, Lending to Agents

— Goose Development Kit (GDK) demonstrated at AGentCon 2026 with three live demos: peer-code-review agent, robotic arm control via MHS protocol, and decentralized AI inference via Signal messenger.

— Mesh LLM enables peer-to-peer AI inference payments over Bitcoin Lightning, allowing GPU compute providers to earn sats while inference users pay micropayments.

— Signal integration demo showed a forked version with an embedded Bitcoin wallet (Lexi-compatible) paying for LLM inference from a federated network, not centralized providers.

— GPU compute economics: underutilized data center capacity can monetize through Mesh LLM as a "buyer of last resort," enabling cheaper inference pricing and new financing models.

— Chamath's "Bitcoin to zero" claim examined across three risk categories: cybersecurity, quantum cryptography, and mathematical breakthroughs; each assessed as low single-digit existential risk.

— Bitcoin Core and LibSecP256K1 shown highly resilient in AI-powered security scans; latest Anthropic research proved NIST elliptical curves contain no NSA backdoor.

— Monitor crypto holdings at companies with frontier AI access (e.g., Anthropic, OpenAI dumps) as potential signal of cryptographic vulnerabilities discovered.

— Contribute unused GPU compute to Mesh LLM pools once scheduler/prioritization and privacy guarantees (sandbox isolation) are production-ready; collect Bitcoin micropayments with plausible break-even timelines matching solar mining adoption curves.