Grant Harvey

OpenAI turned Codex into a broader knowledge-work platform; the White House signed a frontier-model cyber order; Microsoft showed agent-first Windows security; Anthropic expanded Project Glasswing; Axiom Math found gaps in economic theory.

Anthropic’s new dynamic workflows let Claude Code spin up specialist agents, assign them focused jobs, verify their work, and manage messy tasks without relying on one long, fragile chat.

Microsoft used Build 2026 to show how agents move from chat windows into PCs, Windows, GitHub, Azure, enterprise data, and new hardware. In other words: Microsoft is giving agents a whole computer to live in.

NVIDIA and Microsoft’s RTX Spark points to a future where everyday agents run locally, cloud models handle premium intelligence, and workers use agents to sell their own services.

NVIDIA turned the PC into an agent computer; Anthropic filed confidentially for an IPO; MiniMax released M3; Bernie Sanders proposed public ownership of AI labs; Mythos sparked a cybersecurity cost debate; plus much more.

Jeff Dean, Koray Kavukcuoglu, Noam Shazeer, and Oriol Vinyals gave the clearest version yet of Google’s Gemini strategy: one unified model, better coding and agents, world models, self-improvement, and a lot more work on memory, evaluation, and hardware.

OpenAI launched Rosalind Biodefense; Kog hit 3,000 output tokens/s on standard GPUs; Google pushed Gemini Spark; Microsoft worked on a Copilot super app; Nvidia bet on photonics; plus much more.

Companies spent the last year telling employees to use AI more. Now Amazon, Uber, and the rest of corporate America are learning that token usage is a terrible proxy for actual work.

We walked through what AI agents are, how automations work, what confusing terms like API, webhook, JSON, and MCP mean, and how tools like ClickUp, Make, Zapier, n8n, Codex, and Cloudflare Workers fit together.

Anthropic turned Opus 4.8 into a whole news cycle; IBM committed $10B to fault-tolerant quantum; Waymo opened rides in its new Ojai robotaxi; AI costs hit enterprise sticker shock; plus many more.