PERSON DIRECTORY
Nathan Labenz
Host of The Cognitive Revolution. Nathan Labenz appears in 163 indexed conversations across The Cognitive Revolution, The a16z Show. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
The Internet Computer: Caffeine.ai CEO Dominic Williams on Unstoppable, Self-Writing Software
Caffeine’s self-writing cloud targets a roughly $1 trillion 2025 cloud market by letting users generate and continuously modify production applications, while Internet Computer provides replicated execution, orthogonal persistence, and migration checks.The 2026 cloud-engines expansion could bring ICP’s serverless and tamperproof guarantees onto AWS and other providers, but AI-written logic, model collusion, and Network Nervous System governance remain material risks to monitor.
A Positive Vision for the Future: Part 2 with Illia Polosukhin of NEAR
Illia Polosukhin expects AI-built personal software to displace generic SaaS, shifting value from implementation toward architecture, judgment, trusted execution, and review as agents adapt interfaces and workflows to each user.Personal AI could become a private operating system and purchasing intermediary, reducing advertising, waste, and middlemen, while decentralized compute, formal verification, governance, and biological defenses remain unresolved prerequisites for NEAR’s broader vision.
The Machines Are Taking Our Jobs - Thank God? Emad Mostaque’s Guide to the next 1000 Days
Useful intelligence—not AGI—could break labor economics first as reliable agents perform keyboard-video-mouse work for roughly a dollar an hour, while GPT-3 input costs of $60 per million tokens reportedly fell to roughly $1.25-$1.50 for GPT-5.The abundance trap could route gains to GPU owners and frontier labs while wages and tax revenue weaken; Grok 5 versus Grok 4 is a near-term scaling test, while FoundationCoin remains an unfinished experiment in collectively controlled AI infrastructure.
User-Owned AI: On-Chain Training, Inference, and Agents, with NEAR's Illia Polosukhin
Illia PolosukhinErik TorenbergNathan Labenz
NEAR’s user-owned AI thesis combines private, verifiable inference with decentralized compensation for GPUs, model weights, and proprietary data, with confidential computing offering 1% to 5% measured overhead.The network could turn benchmarks, fine-tuning, and even frontier models into inspectable, tokenized ventures, while unstoppable agents create unresolved risks around security, legal enforcement, human governance, and irreversible actions.
402 Payment Required: a New Way for AI Agents to Pay, with Nemil Dalal, Dev Platform Lead @ Coinbase
Stablecoins have reached roughly $250 billion, with reserve yields of about 3%-4.5% generating more than $10 billion in annual issuer economics. x402 repurposes HTTP 402 into a stablecoin rail where agents pay per request for inference, data, messaging, and specialist-agent work, with Coinbase middleware making acceptance “basically one line of JavaScript.”The opportunity depends on cheaper chains and hard wallet limits, while reputation, collateral, slashing, and circuit breakers remain unresolved as autonomous agents gain control of potentially “millions, if not billions of dollars.”




