Good day . Anthropic opened its books, and the first thing in them is an $80.7 billion loss. OpenAI, meanwhile, opened a coupon aisle. Also today: Bill Gates puts a name on the AI tax, Grok’s seven-minute Odyssey, and a Chinese open-weight model within three points of the frontier.
Anthropic Opens Its Books: $16.3B In, $80.7B Lost Reuters
What happened: Anthropic made its IPO filing public on Monday, October 26, planning a Nasdaq listing under the ticker “ANT.” Reuters reports first-half 2026 revenue of about $16.3 billion against a net loss of $80.7 billion, largely from a rise in the fair value of bonds convertible into shares. CNBC puts $72.4 billion of that loss down to non-cash accounting rules on convertible debt.
Why it matters: It is the first audited look inside the company behind Claude. CNBC says revenue rose 1,304% from $1.16 billion a year earlier, and Reuters expects the listing to set the benchmark for how Wall Street values labs like OpenAI. Reuters also notes some investors now value Anthropic near $1.5 trillion, down from about $2 trillion a week earlier, with an investor roadshow and offering expected in mid-to-late November.
What everyone’s saying: Cautious optimism. DA Davidson’s Gil Luria told CNBC the net losses are “very small” once the accounting charge is set aside, and that the filing undercuts the claim that Anthropic “destroys value with every … AI query.” Freedom Capital’s Paul Meeks was “not wowed” but “modestly pleasantly surprised,” and CNBC flags a substantial slowdown in revenue growth from the second to the third quarter.
My read between the lines: The $80.7 billion is mostly a scoreboard quirk: the convertible bonds got more valuable, so the company booked the rise as a loss. The line to watch is the blank one. The S-1 leaves “run-rate revenue,” reported in August at around $65 billion, empty and says it “is not a substitute for revenue.” And seven co-founders will hold 50.1% of the voting power through Founder LLC, so public buyers get a stake in a public benefit corporation, not a steering wheel.
📖 Further reading: Everyone’s panicking about the Anthropic IPO. They’re wrong. — my April take, written when the IPO was still a Bloomberg rumor: the risk was never the ticker symbol, it is how much of your workflow lives inside one company’s context.
Anthropic’s filing runs to more than 90 pages of risk factors. Your Tuesday probably has a smaller pile: the report nobody wants to assemble. Viktor is an AI agent that lives in your Slack and connects to 3,000+ tools, then does the work: reports, dashboards, code and campaigns. Not a chatbot. A coworker. New readers get $50 off their first month. Hire Viktor →
OpenAI Is Coupon-Clipping Anthropic’s Customers The Next Web
What happened: The Information reported Saturday that OpenAI is discounting hard to pull enterprise customers away from Anthropic. TNW, citing the report, says Replit moved most of its AI spending to OpenAI after an offer of more than 30% off a contract worth over $100 million a year, and that Anthropic would not extend its earlier discount without a bigger spending commitment.
Why it matters: The Decoder says Rippling’s coding work now runs 52% on OpenAI models, up from 16% in May, while Anthropic’s share fell from 57% to 18%. DataCamp’s CEO said OpenAI’s pricing cut his costs by 80 to 90 percent, and a US bank with more than $7 billion in assets had its ChatGPT seats doubled to 500 at no extra charge, paying under $7 per user instead of the usual $20 or more.
What everyone’s saying: Replit’s Amjad Masad said at TechCrunch Disrupt it was “a decision based on both cost, partnership, and performance,” then added that “Replit remains model agnostic.” The Decoder says OpenAI is partly buying market share with its own margins, though more efficient models have cut its real costs too. TNW notes it has not independently verified the figures.
My read between the lines: This landed the same weekend Anthropic’s filing went public, and The Decoder says Anthropic’s growth slowed from the second quarter to the third, per an investor memo. TNW adds that Anthropic ends discounts once customers use up committed tokens. OpenAI’s pitch is simple: we will be the cheap one while we are the ones who need the customers. A bank getting free seats is a customer-acquisition budget wearing a price list’s clothes.
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Bill Gates Backs a Token Tax, Warns of 20 Rough Years The Observer
What happened: In an exclusive interview with The Observer, published October 25, Bill Gates said the business incentive is “hire the robot, fire the human and don’t look back.” The paper reports he wants taxes on AI use, perhaps a “token tax,” and that he thinks billionaires should pay more.
Why it matters: On The Verge’s Decoder podcast, per Business Insider, Gates said the roughly 20-year road to “true abundance” will be “as tumultuous a period as there’s been in human history,” with telesales, telesupport and accounting going first and humanoid robots later taking blue-collar work. He told The Observer that governments will need new revenue for people put out of work, because “the revenue for the safety net to help us through this transition will actually be reduced, even though overall prosperity gets better.”
What everyone’s saying: Business Insider lines Gates up with a chorus: Musk has proposed government checks for all, Anthropic’s Dario Amodei has warned of an “unprecedented” short-term shock, and Bezos and Dimon have both floated shorter workweeks. Sam Altman said in May that he no longer expects a “jobs apocalypse,” and BI notes national unemployment has not risen materially during the AI boom.
My read between the lines: Read the tax math, not the doom. Gates says he has paid $14 billion in tax over his lifetime and would have been willing to pay about $40 billion, “a little more than double.” He is describing a budget problem more than a jobs problem: the money that funds the safety net shrinks just when it is needed. And a “token tax” is a tidy name for taxing the one thing every AI product already meters.
Grok Delivered Seven Minutes of “The Odyssey” TechCrunch
What happened: Three months after Elon Musk declared that Grok would release a full-length, “historically accurate” movie of “The Odyssey,” Grok Imagine posted seven minutes on X on Friday, October 23, which TechCrunch says the company is now calling “Episode 1 of our Odyssey series.” It was made with Wonder Studios and director Dev Walker.
Why it matters: It is a live test of whether AI video can carry a long story. The project began as a jab at Christopher Nolan’s “The Odyssey,” which TechCrunch says became a box-office success after its July release. Yesterday’s Brief covered another Grok test, a vote study; this one tests taste.
What everyone’s saying: TechCrunch’s Anthony Ha was not kind. He says a few shots could pass for real actors on a real sea, but the whole feels “completely airless,” with “no reason to care about anyone or anything on-screen.” The backstory voiceover “seems to go on forever,” and he was “listlessly checking” how much time was left.
My read between the lines: Look at the ask in Grok’s own post: it invites viewers to say whether they would like “a full breakdown of how it was done.” That is an offer to talk about the tool, not the film. A promised full-length movie became “Episode 1,” and the proof of the technology is a clip critics describe as lacking momentum. The demo is working; the drama is not.
Kimi K3.1 Pro Narrows the Open-Weight Gap to Three Points CGTN
What happened: Moonshot AI released Kimi K3.1 Pro on Friday, and CGTN reports it debuted fourth on the Artificial Analysis Intelligence Index with a score of 55, behind only Claude Opus 5.5, Sonnet 5.5 and Muse Wonder Full. Let’s Data Science says it is available through Moonshot’s API now with a 1-million-token context window, and that the weights are planned for November 4.
Why it matters: If the weights ship, Artificial Analysis says K3.1 Pro becomes the highest-scoring open-weight model ever released, shrinking the gap between open and proprietary systems from 12 points to 3. For a company, open weights mean you can host a near-frontier model yourself instead of renting one by the token.
What everyone’s saying: CGTN cites pricing of $2 per million input tokens and $10 per million output, half Claude Opus 5.5’s rate card, and a 65.7% score on Terminal-Bench 4.0 against GPT-6 Astra’s 58.2% and Opus 5.5’s 66.4%. On Hacker News the most discussed trait was temperament: “Kimi is so much more blunt and argumentative than USA models.”
My read between the lines: Cheaper per token is not cheaper per task. CGTN says Artificial Analysis puts K3.1 Pro’s cost per task at $1.98, roughly K3’s $2.00, because it writes 14% more output tokens, and the Terminal-Bench scores used different reasoning settings. Let’s Data Science adds that most headline figures are still company-reported. Set that beside story two: the labs are discounting against each other while open weights quietly set the floor.
That’s your AI Brief for Tuesday.
—Nicholas from Artificially Intimidating
