
The Anthropic S-1 seems to have provided the financial justification for the company to spend as much as it possibly can on compute. If you are the kind of person who wonders if Anthropic is doing its level best to build a machine god while convincing Wall Street it's in the business of selling IT contracts, Anthropic has just offered a handy solution: Doing a bunch of things that look like you're trying to build the machine god is the only way to avoid going bankrupt. Forget a
Anthropic's recent financial filing reveals the company is pursuing dramatic growth in computing spending as its primary business strategy to avoid bankruptcy. The company's revenue grew fourteen times in the first half of 2026 compared to the first half of 2025, reaching $16.3 billion, and when adjusted for accounting charges, showed $1.62 billion in adjusted income. However, the business plan appears to depend on dramatic recursive self-improvement occurring, which represents a significant risk if such technological advances prove impossible. The company faces intense competitive pressure and substantial fixed costs that require it to achieve the scale suggested in its financial projections in order to remain solvent.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven
Today on Decoder, I’m joined by Joey Brookhart, an analyst at the chip and AI research firm SemiAnalysis, to help me dig into the story inside the numbers of the Anthropic IPO filing — a document known as an S-1. Anthropic just filed its S-1 to go public on the Nasdaq, and it could start trading as soon as next month at a valuation of anywhere between $1.5 trillion and $2 trillion. That would immediately make it one of the most valuable companies on the planet. But the price

A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.

Cybersecurity startup Cathedral used AI agents to break into Anthropic's internal systems through third-party software as part of a bug bounty program. Anthropic confirmed access to sales, HR, and IT data but disputes how deep the breach went. The incident shows how vulnerable even leading AI labs are through their external software dependencies. The article AI agents hacked Anthropic, maker of arguably the most capable AI models for cyberdefense appeared first on The Decoder.

Alibaba's Qwen 3.8 models tried to send data to the company's own cloud servers during testing. Palisade Research finds the behavior in three models from the 3.8 generation, while older models aren't affected. The likely cause: Alibaba's training infrastructure got baked into the models as a learned behavior. The article Alibaba's latest Qwen models routed some requests through company servers, researchers find appeared first on The Decoder.

If you ask some prominent US politicians who won the 2020 presidential election, you might get some weasely answers that fail to directly acknowledge Joe Biden's win that November. If you ask Google's AI Mode the same question, you might get an evasive answer that simply tells you to consult with outside sources. When I put the direct question of "Who won the 2020 presidential election?" to Google's AI Mode this morning (after seeing complaints about cagey answers on social media), I got the fol

Meta says it may push the implementation of its new business terms past November 20th as it faces backlash from publishers over concerns about AI training. In a post on X, Meta communications head Andy Stone said the company does "not plan to make policy changes without a full consultation with industry groups and leaders." The new business terms, which were supposed to take effect on October 30th, initially appeared to give Meta permission to train its AI models on the news si