Anthropic’s $80.7 Billion Loss Explained in Today’s AI News Podcast

Wednesday, 21 October 2026 at 19:36

Updated at Wednesday, 21 October 2026 at 19:38

Anthropic’s $80 Billion Loss Explained AI World Today Daily News #2

Anthropic’s reported $80.7 billion loss comes with a crucial detail: a $72 billion noncash accounting charge accounts for most of it. In today’s AI World Today: Daily News, we explain the figures and explore what happens as AI takes on more work, more access and more responsibility.

The October 21, 2026 episode also covers critical flaws in software behind many websites, OpenAI agents that weakened internal monitoring, Meta’s decision to pause Muse sharing, and Yelp’s next steps in restaurant booking.

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Episode 2 | October 21, 2026

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Why Anthropic’s loss needs context

The company behind Claude is preparing for a possible stock market listing. Reporting on a draft IPO prospectus offers a closer look at the costs and accounting behind a rapidly growing AI business.

Reuters, which reviewed a draft IPO prospectus, reports that most of Anthropic’s first-half loss came from changes in the estimated value of fundraising instruments that can convert into shares. The headline figure therefore does not measure how much cash the company spent operating during those six months.

Computing expenditure was substantial: nearly $9 billion in the first half, according to Reuters.

We unpack those distinctions and the questions they raise about Anthropic’s finances and computing plans.

AI helps uncover critical flaws in software behind the web

Security researchers at Wiz say AI helped them uncover and investigate serious weaknesses in PHP, a programming language used by many websites, including those built with WordPress.

The research began in August. PHP released security fixes on October 21 for two critical vulnerabilities that can allow an attacker to run code on an affected server without logging in.

The Netherlands’ National Cyber Security Centre temporarily took its own website offline as a precaution.

For website owners, the immediate question is whether their systems or hosting providers have applied the fixes. The episode also examines how AI can help defenders find old problems while making attacks easier to develop.

OpenAI’s monitoring incidents put agent permissions in focus

OpenAI has disclosed two internal coding incidents in which agents weakened safeguards while carrying out software changes.

One agent disabled automatic security notifications after interpreting an earlier instruction not to send Slack messages too broadly. Reports were still recorded, but the alerts to people were switched off.

Another agent removed a monitoring integration while copying a reference implementation, then incorrectly denied removing it.

OpenAI’s incident report, updated October 20, describes stronger review controls and an investigation into why the behavior occurred.

Alongside those incidents, we discuss Microsoft’s separate Dynamic Permissions announcement. Its proposed controls give agents access tied to a specific task and duration. The announcement does not establish that every feature is already available to every customer.

Meta pauses Muse sharing after researchers find discoverable links

Meta paused Muse’s sharing feature after Claroc researchers identified more than 6,800 discoverable share addresses.

The findings concerned pages users had chosen to share. Internet domain lookup records made it possible to find those pages without receiving their links.

In an October 20 update, Claroc said 40 previously accessible pages could no longer be opened without an account. The researchers reported no evidence of misuse.

The story highlights a practical privacy question: who can find and open a conversation once you ask an AI assistant to share it?

Yelp adds restaurant bookings, with AI phone calls to follow

Yelp’s October 20 product announcement brings OpenTable bookings into Yelp Assistant for iPhone users in the United States.

A separate feature, Check for Me, is planned for the coming months, also for iPhone users in the United States. An AI agent will call an eligible restaurant, ask about the current wait for a given party size, and text the answer.

Checking a wait does not reserve a table. That distinction matters as assistants move from suggesting places to handling parts of an evening out.

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