The secret’s out 🤫

Anthropic Accidentally Leaks 500K Lines of its own Source Code

Anthropic just shipped its own source code to the public. A debugging file was accidentally bundled into a routine Claude Code update and pushed to a public registry, exposing the full architecture of the AI coding tool—nearly 2,000 files and 500,000 lines of code.

What happened: 

• The file pointed to a zip archive on Anthropic's cloud storage containing the complete codebase.

• Within hours, it was mirrored and dissected across GitHub, amassing thousands of stars.

• An Anthropic spokesperson told Axios the leak was "a release packaging issue caused by human error, not a security breach," and that no customer data or credentials were exposed.

What was exposed: The leaked code contained unreleased feature flags for capabilities that appear fully built but haven't shipped yet, including Claude’s ability to review past sessions and transfer learnings across conversations, a "persistent assistant" that keeps working when users are idle, and remote control capabilities.

OpenAI Raises $122B at an $852B Valuation

OpenAI just closed the largest funding round in tech history: $122 billion in committed capital at a post-money valuation of $852 billion.

By the numbers:

• ChatGPT now has over 900 million weekly active users and 50 million paid subscribers.

• OpenAI is generating $2 billion in revenue per month—up from $1 billion per quarter at the end of 2024.

• The company's APIs process more than 15 billion tokens per minute.

• Enterprise now makes up more than 40% of revenue.

Who's in: The round was anchored by the usual suspects—Amazon, Nvidia, SoftBank, a16z, D.E. Shaw Ventures, to name a few. For the first time, OpenAI extended participation to individual investors through bank channels, raising over $3 billion.

Cognichip Raises $60M to Use AI to Design Chips

The most advanced chips have accelerated AI development. Now Cognichip wants AI to return the favor. The startup just raised $60 million to build deep learning models that work alongside engineers to design new computer chips.

The problem it's solving: Chip design is enormously complex—advanced chips take three to five years from conception to mass production. Cognichip says its technology can cut the timeline by more than half and reduce costs by over 75%.

Chip competition: Unlike coding assistants trained on open-source code, chip designers guard their IP closely. Cognichip has built its own datasets, including synthetic data and licensed proprietary data, and developed procedures for chipmakers to train models on their own designs without exposing them. The company is competing against incumbents like Synopsys and Cadence, as well as well-funded startups like ChipAgents and Ricursive.

Unknown number calling? It’s not random

The BBC caught scam call center workers on hidden cameras as they laughed at the people they were tricking. One worker bragged about making $250k from victims.

The disturbing truth? Scammers don’t pick phone numbers at random. They buy your data from brokers.

Once your data is out there, it’s not just calls. It’s phishing, impersonation, and identity theft. That’s why I recommend Incogni: They delete your info from the web, monitor and follow up automatically, and continue to erase data as new risks appear.

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How you can use it

• Turn hesitant browsers into buyers with real-time recommendations

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• Increase average order value with automated upsells

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Pricing: Paid