Google Hands Its Strongest Model to Cyber Defenders First -- AI Brief October 29

Good day %%first_name%%. Google handed its new Gemini model to a few cyber defenders before anyone else, and Apple finally let you touch a Mac. Also today: GitHub’s agents now start 40% of pull requests, Bloomberg gives quants a coding assistant that asks permission first, and an Anthropic manager retires the coding interview.

Google Gives Gemini 4 Carbon to Defenders First 9to5Google

* What happened: Google announced Gemini 4 Carbon on Wednesday, October 28, two weeks after it launched Argon, calling it its next frontier model with “significant gains across coding and agentic tasks,” 9to5Google reports. It goes to a subset of cyber defenders first, with developers, businesses and consumers to follow.

* Why it matters: The model is good at the offensive side of security too. Google’s numbers: 88.2% on a vulnerability-finding test, 54.8% on exploitation and 71.0% on patching. So the first access program, called Fairwind, comes with conditions, per Unite.AI: security teams only, phishing-resistant multi-factor login, and no reselling.

* What everyone’s saying: Google’s pitch is leaderboard-shaped: first on the Artificial Analysis Intelligence Index at 59, and up 89 Elo points to fourth on WebDev Arena. Intro pricing is $2 per million input tokens and $10 per million output, rising to $4 and $20 later, 9to5Google says.

* My read between the lines: Staged access for the scary skill is becoming the industry move. Anthropic did it in April, and Google says it is also working with the US government’s voluntary pre-release testing process. Note the price: the intro rate doubles, so the teaser is the rate you get while the model is still a rumor.

📖 Further reading: Anthropic built the most powerful AI ever. You can’t use it. — Handing a cyber-capable model to defenders first is the pattern Anthropic set with Mythos and Project Glasswing, and I wrote up what the access gap means for the rest of us.

GitHub says agents now start 40% of pull requests, so your Thursday could use a few of its own. Viktor is an AI agent that lives in your Slack and plugs into 3,000+ tools, then does the work: reports, dashboards, code and campaigns. Think coworker, not chatbot. New readers get $50 off their first month. Hire Viktor →

Apple Puts a Touchscreen on the Mac CNBC

* What happened: Apple announced the MacBook Pro with ProLED XDR Display, its first Mac with a touchscreen, powered by M5 Pro or M5 Max chips, CNBC reports. The 14-inch starts at $2,899, the 16-inch at $3,399, and it ships November 6. “For the very first time,” said CEO John Ternus, “we are bringing touch to the Mac.”

* Why it matters: Apple spent years refusing touch on laptops. The AI angle is the memory. 9to5Mac lists up to 128GB of unified memory, and CNBC says Apple is pitching its chips as the best place to run AI on the device instead of in the cloud. In May we covered The Mac Mini Sold Out Because of You, and this is the sequel.

* What everyone’s saying: CNBC says Apple teamed up with Meta to show large models running on clusters of Macs wired together at high speed, so developers can run agentic code without paying Anthropic or OpenAI. Meta’s model team bought hundreds of Mac Minis this year to test agents. IDC’s Ryan Reith was less excited about touch itself: Windows laptops have had it for ages, he said, and it is “just another feature, not a selling point.”

* My read between the lines: The touchscreen is the headline and the cluster is the story. A laptop line that scales to 128GB of memory, plus a way to chain Macs together, is Apple’s offer to the people who now pay by the token. Reith’s line is the tell: he says the draw is developers, not shoppers who want to poke a screen.

📖 Further reading: Your Mac Just Became a $20/Month AI Employee — If the Mac is where agents are headed, this is the guide to putting an AI employee to work on one.

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GitHub: Agents Now Start 40% of PRs The Next Web

* What happened: At GitHub Universe on Wednesday, GitHub launched Copilot Fusion, a system that picks which AI model, or mix of models, handles each step of a coding task, <a target="_blank" href="https://thenextweb.com/news/github-universe-copilot