The Collection

Google says the Spirit material could help improve its products and AI models. The package is not office correspondence. It includes financial models, board decks, vendor records, crew schedules, aircraft operations, disruption histories, pricing algorithms, refunds, fraud data, IT tickets. Some employee records date to 1986.

Spirit and Google agreed a third-party deidentification process. Customer profiles, loyalty records, credit cards, customer chats and call recordings are excluded. Privileged material is out. Employee information is not treated the same. Payroll, tax forms, timekeeping, training, business travel, employment contracts, workplace mail. The sale keeps the Microsoft 365 data in its native relationships. That is the point. The value is the links.

A name can be stripped from an email. The incident, the route, the date, the small group remain.

The flight attendants’ union put it cleanly: deidentification answers whether a record can be tied to a named person. It does not answer whether the contents stay confidential. Companies spent years classifying data by what it contains and whom it identifies. A catalog can find a Social Security number. It is less able to decide whether eight years of operational discussion should become training material for an outside company.

The paid continuation is for members: where deidentification fails purpose, and what to change in retention and data rights before a transaction. The lede is enough. Write the rule before the auction, not after.

Two months ago Meta cut about 10 percent of staff while revenue and profit were at an all-time high, and reassigned about 20 to 30 percent of software engineers to data labeling, with basically no notice. Orosz called it an unforced error. The new reporting is what happened next.

In the UK, mass layoffs require notice. A few weeks after that notice, a chunk of people were “un-notified.” They had already started looking. Meta, which had not made counteroffers, began offering large retainer equity to IC6 and IC7 engineers resigning for Google, Anthropic, and OpenAI. Orosz talked with seven of them. He is not aware of IC4 or IC5 getting the same. Grants: $400,000 to more than $1 million, vesting over three years. The million-plus were Anthropic and OpenAI. A $400,000 and a $600,000 grant for smaller AI startups. Neither of two people he asked had to show an offer letter. Handing in the resignation was enough. Director plus HR, discretionary retainer, stay.

They treated engineers as commodities. The retainers are the receipt.

Three engineers with Anthropic offers also got $1 million-plus equity, vesting over four years, to stay. Two rejected it. The third accepted, then left a month later and forfeited the grant. An infra engineer who survived the May cuts took a Google offer and a high-growth startup offer, stayed a month for a supportive manager, then left for the startup after the founder raised the equity and said they would matter as a person. It started, the engineer wrote, with a 50 percent chance of being let go.

Credit where Orosz gives it: Meta Muse Spark is, on Artificial Analysis, the seventh most capable model, tied with Grok 4.5, ahead of Gemini. The damage was done to restart that work. Ryan Nystrom, building AI at Notion: the handcuffs are an illusion. Get out.

Eric Newcomer has a letter to Poolside investors. Poolside struck a non-exclusive licensing deal with Nvidia for $6 billion, plus a $1 billion investment in the remaining company at a $12 billion pre-money valuation. That is the exclusive. The rest of the letter, the structure, the “key numbers,” sit behind the paywall. We are not inventing them.

A second Newcomer letter, on OpenRouter’s cap table, arrived the same afternoon. Stripe announced the purchase on Wednesday. Anjney Midha backed the team in 2025 while a general partner at Andreessen Horowitz; he and founder Alex Atallah were friends at Stanford thirteen years earlier. The email’s own line: a16z won big, Menlo Ventures and CapitalG also scored. The multiples, the ownership, the “few key numbers” are for members. Wednesday we printed the switch. Today we print who got paid, and stop where the wall starts.

$6 billion for a license. $10 million for the mail. Different auctions. Same buyer class: the people training the next system.

Gary Marcus, in a letter called Leopold’s Folly, reaches for check-kiting and then takes it back. He is not saying generative AI is literally kiting. If Masa wants to borrow against OpenAI shares to buy more OpenAI shares, he is entitled. The circularity is the point, and the rest of the analysis is for members. We have the analogy. We do not have the dissection.

Kilo’s sourcing note is the first fact: the 24 August Cursor change is known from an email Cursor sent to subscribers. No blog post. No changelog. Pricing docs still listed Auto as a flat rate when they wrote. Recipients posted the mail to r/cursor and to X. Check Settings, Billing, after the 24th.

GitHub Copilot: unlimited on a base model, then premium requests from June 2025 with multipliers, then token billing on 1 June 2026 at API rates on input, output, and cached tokens. Annual plans are being retired. Anthropic does not reprice so much as restrict: weekly caps on Claude Code from August 2025; enterprise is seat plus usage at API rates from the first token. Cursor’s own wording, per the email: included usage for Cursor Models goes up; Auto stops being a flat rate; most requests will draw at a higher rate than they do today.

Procurement runs on annual cycles. Pricing models now change quarterly.

Kilo’s questions, kept as questions: can you point the agent at a different model tomorrow, and at what surcharge. Cursor still charges Teams and Enterprise $0.25 per million tokens on third-party models, including bring-your-own-key. If your rules and MCP configs live in a vendor marketplace, you do not own the door. Metered was always coming. Arriving without options is the part worth avoiding.

Anthropic rolled out model-level text watermarking across Claude: web, APIs, Claude Code, enterprise. Framed as EU AI Act Article 50(2): machine-readable marks on synthetic output. The Act carves out assistive editing that does not substantially alter the input. The governance letter’s complaint: they built a global mathematical watermark, not a context-aware disclosure, and they turned it on worldwide without a public detection API.

Every’s Laura Entis: Anthropic later said it will use a version of Google’s SynthID Text. A secret key and the preceding text decide among plausible next tokens. Designed so it does not, on average, change how often individual words are selected. Google has watermarked Gemini with SynthID since 2024. Research in Nature: no noticeable impact on individual output quality; responses to the same prompt may become less varied. Anthropic: detection does not work well on small samples or precise factual passages. Heavy editing can weaken or remove the signal. It cannot identify another model’s text.

Honest employees cannot see the mark. Sophisticated actors can strip it.

John Gruber called it a perversion of writing. That is Gruber. The operational fact is simpler. Content generated now will be scannable the moment a detector ships. The fact sheet, the competitor table, the contracting language: members only.

Zvi, in a long week of aftermath we are not reprinting: agentic use is 64 percent of OpenAI tokens, up from almost none a year ago. METR raised commitments of about $71 million, and will not take money from frontier labs. Those two numbers are new. The pause is not.