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Today's five/N°36 · Wednesday, November 11, 2026/Filed 03:49 ET

AI news today: Google ships Gemini 4 Carbon, Claude gets Sheets and Whiteboards

A frontier model you can test at the old price for three weeks, a new office suite inside Claude, and a $740K stolen-key bill that should make you check yours.

The five · ranked by consequence

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  1. Google ships Gemini 4 Carbon at $2 input, until Nov. 30

    Google made Gemini 4 Carbon, its strongest model, available to paying API customers on Tuesday at $2 per million input and $10 per million output tokens. The price doubles after Nov. 30, so the next three weeks are your cheap test window.

    Why it matters If you run agent or coding workloads, test Carbon against your current model before Dec. 1, while it costs the same per token as Argon. Google says Carbon also uses more tokens than Argon, so measure cost per finished task, and decide before the price doubles.

    SRCGoogle

  2. Anthropic adds Claude Sheets and Whiteboards to paid plans

    Anthropic launched Claude Sheets and Claude Whiteboards in beta on Tuesday and made Claude Data generally available, on every paid plan across web, desktop and mobile. Claude now wants the spreadsheet tab as well as the chat window.

    Why it matters If your team pays for Claude, all three are on by default on Team plans now, so expect someone to build a sheet in Claude this week. Enterprise admins have until Nov. 19, when Claude Data switches on by default, to decide who gets it.

    SRCAnthropic

  3. Anthropic sets its IPO range at $70 to $78 a share

    Anthropic launched its IPO roadshow on Tuesday, offering 825 million shares at $70 to $78 on Nasdaq under the ticker ANT, which Fortune says values it at up to $1.4 trillion. The range is the first hard price anyone has put on a frontier lab.

    Why it matters If you build on Claude, your supplier is about to report numbers every quarter, under securities law, to the public. That gives you a better read on its prices, capacity and risks than any launch post has.

    SRCAnthropic

  4. Railway breach: attackers ran up $740K on stolen AI keys

    Railway's incident report says an October attacker decrypted variables in up to about 100,000 workspaces and went after AI provider keys first, with unauthorized spend estimated at about $740,000. If your API keys sit in a host's environment variables, they are the prize now.

    Why it matters If you deployed on Railway, check every AI provider bill since Oct. 20 and rotate keys you have not already replaced. Wherever you host, give each AI key a spend cap and a single project, because a stolen key bills until someone notices.

    SRCRailway

  5. New York opens RAISE Act sign-ups for frontier AI labs

    New York opened its RAISE Act registration portal on Tuesday, giving large frontier AI developers until Jan. 1, 2027 to sign up, and launched a state center to test advanced AI systems. The 72-hour incident clock is the rule labs will feel first.

    Why it matters If you build on a frontier lab's API, New York now requires that lab to report a critical safety incident within 72 hours and publish its safety framework. If you are not a large frontier developer yourself, nothing new lands on your desk on Jan. 1.

    SRCNew York State Department of Financial Services

Prompt of the day

Find every AI API key you have exposed, and lock each one down

› Act as a security engineer helping me audit my AI API keys. I build with these AI providers: [list providers, e.g. OpenAI, Anthropic, Google, OpenRouter]. My code and tools run on: [list hosts, CI, laptops, no-code tools, browser extensions].

Step 1. Ask me, one question at a time, where each key could live: environment variables on hosting platforms, CI secrets, .env files, notebooks, shared docs, chat messages, agent configs and third-party apps I pasted a key into.

Step 2. Build a table with one row per key: provider, where it lives, who can read it, what it can spend, whether it has a spend limit, and when it was last rotated.

Step 3. Rank the rows by risk: highest spend ceiling and widest exposure first.

Step 4. For each of the top five, give me the exact steps to rotate it, scope it down to one project, set a monthly spend cap or alert, and move it into a secrets manager.

Step 5. Write me a one-paragraph incident plan: what I do in the first hour if I see a usage spike I did not cause.

Keep it practical. Do not ask me to paste any actual key.

Works in any AI chat. In Magai, run it against several models at once.

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