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TODAY AI BRIEF
3 things that happened while you were busy
1 An OpenAI engineer is charged with bugging a conference room.
Federal prosecutors allege that Abdulrahman Alfozan, 35, hid a recording device inside a roll of toilet paper and plugged it into a USB port behind a conference room television on September 30. OpenAI says it used its own models to identify both the device and the person who placed it, then called the FBI and fired him. The company says it has no indications that model weights, source code or customer data were accessed, which describes what it has found so far rather than an all clear. Read the Associated Press report.
2 Google opens Gemini 4 Argon to developers everywhere, for a price.
Argon went live globally on October 13 through the Gemini API and AI Studio, while access inside Antigravity and the Gemini app stays with Google AI Pro and Ultra subscribers. Its headline number is a 1M token limit that covers input and output together, not a million tokens of output per answer. Introductory pricing is $2 per million input tokens and $10 per million output, and both double on December 1. Google says Argon lifted agentic code submissions by more than 35% across its own engineering teams and cut rollbacks by nearly a third, though it published no methodology for either figure. Read Google's announcement.
3 Anthropic threw out Git because its agents write too much code.
Anthropic replaced Git for its main codebase with Scion, a version control system it built in house, after daily merges climbed from roughly 2,500 in May to more than 30,000 in September. Seven people built Scion along with a companion review tool called Antique, and moved the entire monorepo across in five months. Checkouts that used to take minutes now take seconds. The team expects other companies using AI coding tools to hit the same wall within six to 12 months. Read Anthropic's engineering write-up.
Bonus reads: Gergely Orosz on why companies are building their own internal AI app builders, plus Google's pricing page if you want the Argon rates in writing before they change.
AI FORWORD
AI made writing code cheap and reading it expensive
The volume. Anthropic's daily merges went from about 2,500 in May to more than 30,000 in September, and Git simply stopped coping. That is a twelvefold rise in four months, and the company says the problem is not unusual, only early.
The gap. Nobody reads 30,000 changes a day. That is the reason a tool like OpenQodex exists, running more than a dozen scanners and then a second AI whose only job is to check the first one's findings before anything gets pushed.
The price signal. Generating the work keeps getting cheaper and checking it does not. Google is selling Argon at $2 per million input tokens until November 30, after which the same model costs twice as much. Nothing comparable is happening to the cost of an experienced person reading the output.
The proof. The security firm XBOW spent about $40,000 in compute and six days pointing GPT-5.6 Sol at Chrome, then collected Google's maximum $250,000 bounty for a full exploit chain Google has since patched. The compute figure is XBOW's own. Read it as the going rate for machine attention on a problem humans had missed.
The reframe. Zoho's Sridhar Vembu says AI already makes developers meaningfully more productive, and in the same breath told staff there are no pay rises this year and a grim outlook for software jobs. Both can be true. When producing work costs almost nothing, the job that survives is deciding whether the work is right, which is a judgment skill rather than a typing one.
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SOCIAL SNAPSHOT
What people are actually watching and sharing
One login, open repository. Attackers used a single employee's stolen credentials to reach some of Meta's private GitHub repositories, and the company is notifying about 1,500 people, mostly US staff. Meta says personal data was in those repositories by mistake and against its own policy.
A $250,000 bug. XBOW says it chained three Chrome flaws in six days using GPT-5.6 Sol and won Google's top bounty, only the second full-chain award in the program's history. Google has patched all three.
Apple's $299 screen. Apple unveiled HomeView, a seven-inch square display on a speaker base built around its rebuilt Siri, on sale in the US from November 13. It is not launching in the European Union yet while Apple works through competition rules.
No raises at Zoho. Sridhar Vembu told employees there will be no pay rises this year as AI costs climb, and added a blunt warning about software jobs that has been argued over all week.
The internal Lovable. Ramp opened up about Glass, the in-house tool its non-engineers use to build their own software, where one saved prompt took customer feature requests from about 300 a month to 20,000.
PROMPT STATION
Turn any AI's work into a review you can sign off
Today's theme is that checking the work is now the hard part, and that applies well beyond code. This prompt works in Claude, ChatGPT or Gemini and makes the AI hand you a reviewer's brief instead of a summary, so you can approve a contract clause, a budget sheet or a landing page without reading every line yourself. Run it before you send anything an AI made on your behalf.
You just produced [WHAT THE AI MADE FOR YOU]. Before I approve it, write me a reviewer's brief, not a summary.
Cover five things: what you made and why, in plain language; the three places this is most likely to be wrong and how I would notice; anything you assumed because I did not tell you; anything you could not verify; and what goes wrong downstream if this is mistaken.
Then give it a risk rating from 1 to 5 for someone who cannot check your work line by line, and end with the single question I should answer before this goes out.
Keep the brief under 200 words and do not repeat the work itself.Tip: Swap [WHAT THE AI MADE FOR YOU] with something concrete, such as the supplier email, the Q4 budget sheet or the product description. For a sharper version, add a line telling the AI to write the brief as though the reviewer is the person who gets blamed if it is wrong, which tends to surface the assumptions it would otherwise leave quiet.