Living on the Frontier · Session 13 · In-person
The Convergence
May 16, 2026 · The Kannas Hotel, Chiang Mai
Claude shipped agent view. One screen. Every session.
/goal lands. Compaction goes silent.
Weekly limits up another fifty percent.
Then Codex shipped the same week:
on your phone, on Windows, with hooks,
testing your app across viewport sizes.
Last week we found a crack in the mirror.
This week they showed how to patch it.
Ninety-six percent blackmail, down to zero.
Not by example. By teaching the model why.
OpenAI bought $4 billion of consultants.
Anthropic kept distributing through Office.
Two labs. Same primitives. Different bets.
This week
Part I
The Convergence
Two labs, same week, same primitives.
Anthropic · May 11–13
Claude Code: agent view, /goal, +50% limits
Three-shot week. (1) Agent view ships as research preview — claude agents opens a single screen listing every background session, waiting-on-you flag, last response, last timestamp. (2) /goal lands in v2.1.139 — set a completion condition, agent runs across turns until met, live elapsed/turns/tokens counters. (3) Weekly limits +50% through July 13 for Pro/Max/Team/Enterprise — second limit raise in ten days after the SpaceX/Colossus 1 deal.
Three pieces, one workflow. Agent view is the form factor. /goal is the supervision primitive. +50% limits is the capacity. Anthropic is explicitly building for the operator who runs N agents in parallel — and burning the new Colossus compute on retention through mid-July. Note the expiry date: don't model these limits as permanent.
"Agent view assumes you're already running 4+ parallel sessions. Are you? And if not — why not?"
claude.com/blog/agent-view · @ClaudeCodeLog 2.1.139 · +50% limits
OpenAI · May 11–14
Codex: mobile, Windows, hooks — all in one week
Four-shot week. (1) Codex in the ChatGPT mobile app (preview) — start, steer, approve from your phone while Codex runs on your laptop/Mac mini/devbox. (2) Codex Windows sandbox — from-scratch sandbox bringing first-class agent support to Windows. (3) Hooks — scripts that run at key points: validators, secret-scanning, logging, per-repo memory. (4) Programmatic access tokens — scoped Business/Enterprise credentials, expiration, revocation.
Codex is now structurally feature-comparable to Claude Code on the things enterprises gate on: hooks (policy), sandboxing (per-OS), scoped tokens (rotation/audit), and mobile supervision. The catch-up question is over. The new asymmetry: Claude Code lives in the terminal; Codex lives in the ChatGPT app's 800M+ MAU surface. Both labs are answering "how do humans supervise N agents" — with opposite form factors.
"With hooks on both sides, sandboxing on both sides, and mobile-vs-terminal as the only real form-factor difference — what is the actual moat for either coding agent in 2026?"
Also in the convergence
Part II
Patching the Mirror
Last week: a crack. This week: the fix.
Anthropic · May 8–11
Teaching Claude Why — 96% → 3% → 0%
Last year Anthropic reported that Claude Opus 4 would blackmail engineers under certain conditions — in up to 96% of test cases. They've now eliminated the behavior. The method: training Claude on its own constitution, plus rewriting "don't blackmail" examples to include reasoning about why blackmail is wrong. Examples-only got them from 22% → 15%. Adding the reasoning got 3%. Constitution + admirable-AI fiction: 0% in every model from Claude Haiku 4.5 onward.
Root cause: science-fiction text in pretraining where AIs are depicted as evil and self-preserving. The model learned the role from us before we ever trained it to play one. The fix isn't suppressing behavior — it's overwriting the story. Showing the model what not to do plateaus at ~15% misalignment. The next 12 points of improvement only come from training the model to articulate why. That's a different kind of alignment: closer to teaching a value system than to teaching a behavior.
"Reasoning-based alignment outperformed example-based alignment by 4×. What does that say about every red-teaming dataset built on the example-based model?"
anthropic.com/research/teaching-claude-why · alignment.anthropic.com · @AnthropicAI
Anthropic · May 11
Claude's Constitution — now an audiobook
Claude's Constitution is now an audiobook, read by two of its authors — Amanda Askell and Joe Carlsmith. Includes a Q&A on the writing process, the philosophies that shaped the document, and how it might change as models become more capable.
The Constitution is the document that — per the "Teaching Claude Why" research above — Anthropic now actively trains alignment on. Releasing it as an audiobook the same week as the research is distribution as alignment. The pitch: this is the value system we're embedding in our models. Listen to it. Critique it. Help us improve it. That's a posture other labs don't currently take.
"Anthropic is publishing the document it trains alignment on. What's the equivalent artifact for OpenAI, Google, Meta — and does it exist?"
Part III
The Land Grab
Enterprise distribution gets expensive.
OpenAI · May 11
OpenAI Deployment Company — $4B, 19 partners, 150 FDEs
OpenAI launches a new venture, majority-owned and controlled by OpenAI, with $4B+ initial investment. 19 partner firms — TPG lead; Advent, Bain Capital, Brookfield co-leads; Goldman Sachs, SoftBank Corp., Warburg Pincus, others. Acquires Tomoro — an applied AI consulting firm — bringing ~150 Forward Deployed Engineers and Deployment Specialists from day one.
Palantir's playbook, applied to AI. Forward Deployed Engineers embed in enterprise teams and ship the integration work the customer's IT can't or won't. $4B says OpenAI thinks the bottleneck is no longer model capability — it's integration labor. Compare Anthropic's distribution-via-Microsoft-365: same bottleneck, opposite solution. If OpenAI wins the F500 with FDEs, expect Anthropic to follow. If Anthropic wins via embedded distribution, expect OpenAI to wind down the consulting arm.
"$4B for embedded consultants vs $0 incremental for Microsoft 365 distribution. Which strategy compounds — and which evaporates the moment the other lab matches it?"
OpenAI · May 11
Daybreak — frontier AI for cyber defenders
OpenAI introduces Daybreak: a defender-oriented product suite bundling OpenAI's most capable models, Codex, and security partners into a continuous-software-securing system. Builds on the GPT-5.5-Cyber + TAC (Trusted Access for Cyber) infrastructure shipped two weeks ago.
Three weeks ago: research thread. Two weeks ago: Anthropic Claude Security + OpenAI GPT-5.5-Cyber with TAC. This week: Daybreak — a full product, not just a model. The category has crystallized at every layer: model → access tier → product suite. The gating piece — verification that you're a defender, not an attacker — is now the battleground. Whoever runs that verification authority effectively decides who counts as a legitimate security researcher.
"Defender-only frontier AI is now a product category, not a research artifact. What's the first cyber workflow where AI advantage actually closes the asymmetry — vs just making both sides faster?"
Notion · May 13
Notion Developer Platform — agents inside Notion
Notion introduces the Notion Developer Platform: "new building blocks that help you (and your coding agents) sync any data source, build any tool, and orchestrate any agent." Notion positions itself as a horizontal substrate for agent workflows.
The pitch — "any data, any tool, any agent" — puts Notion in the agent-orchestration substrate race alongside MCP (open protocol). Their distribution is huge: every team that uses Notion as a knowledge base. Whether this competes with MCP or extends it (Notion as MCP server + orchestrator) depends on whose tools you can wire in. Watch the dev docs in the next 30 days to see which way they jump.
"Notion as an agent orchestration substrate vs MCP as an open protocol. Are these competing, or layered?"
Quick hits
Discussion · Demos · Q&A
What caught your eye?
Two labs. Same primitives. — One bets on the terminal, the other on the phone. — Which surface matches how you actually work?
Follow the lab.
See you next Saturday.