In February 2024, Notion bought Skiff, an encrypted email and productivity software startup. Within a year, Notion shut down Skiff’s email service (taking @skiff.com email addresses with it). And in April 2025, the San Francisco-based company released Notion Mail, a Gmail client primarily built by people who joined Notion through the Skiff acquisition. Today, Notion announced that it’s shutting down Notion Mail, effectively killing what little remained of Skiff email.

In an X post (first spotted by 9to5Mac) today, Notion said that it will shutter the Notion Mail “inbox across web, desktop, and iOS on September 22.”

The post claimed that most Notion users don’t use email clients anyway and instead rely on AI agents to handle their electronic correspondence. It reads:

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Google Finance is not a new product—it has been around for 20 years, long enough that it initially relied on Flash to display charts and graphs. The website has gotten a few major updates over the years, but it has never had a mobile app until now. Google has released the first standalone app for Google Finance, which is currently exclusive to Android, with iOS planned for later this year.

The app is available globally in the Play Store, but that's not the only update to Google's financial tracker. The AI-powered makeover for the Finance website is also leaving beta, making Google's chatbot a core part of the experience. Naturally, the mobile app includes a heaping helping of generative AI that aims to make sense of irrational financial markets.

If you've checked out the new Finance web experience, you'll see a lot of familiar features in the app. You can create watchlists, monitor real-time market data, and keep up with financial news in one place. While perusing graphs of stock performance, Finance will use AI to generate "key moments" that can explain why the numbers changed. This feature initially launched in the Finance web interface in May.

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Anthropic has accused the Chinese firm Alibaba of launching the largest attack yet attempting to clone Claude, as China races to match the capabilities of Anthropic's leading model following Mythos' release and subsequent restriction from foreign markets.

Ars obtained a June 10 letter sent to Senators Tim Scott (R-SC) and Elizabeth Warren (D-Mass.) one day ahead of a Senate committee hearing on “AI and the American Dream.” In the letter, Anthropic shared “new, confidential evidence of the largest campaign to illicitly extract Claude’s capabilities we have ever measured.”

The attacks occurred between April 22 and June 5, when “operators affiliated with Alibaba and Alibaba Qwen, Alibaba’s AI lab” allegedly generated “more than 28.8 million exchanges with Claude through almost 25,000 fraudulent accounts,” Anthropic said. Violating Claude's terms of service and access restrictions, this campaign “targeted some of Claude’s most valuable capabilities, such as agentic reasoning, software engineering, and long-horizon tasks.”

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A new chip architecture from IBM can integrate nearly 100 billion transistors on a chip the size of a human fingernail—nearly twice the transistor density of the company’s previous generation of chip technology. The resulting improvement in chip compute performance and energy efficiency comes from what IBM describes as the “world’s first sub-1 nanometer chip technology” for AI data centers.

“It's not just an incremental step, it's a meaningful leap forward,” said Jay Gambetta, director of IBM Research and IBM Fellow, in an advance media briefing. He described the new chip technology as “pointing to a future where computing becomes significantly more powerful without a corresponding increase in energy.”

It’s worth unpacking what the “world’s first sub-1 nanometer chip technology” means, because it is impractical to build reliably functional chips with transistors and other features smaller than 1 nanometer due to various physical limitations. Instead, IBM is basically claiming that its new “nanostack” architecture can deliver the computing performance improvements that would be expected if a theoretical chip could be built with physical features smaller than 1 nanometer.

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OpenAI, the company behind ChatGPT and Codex and the models those tools use, and Broadcom, an established silicon supplier, have announced a new chip, called Jalapeño, designed specifically for large language model inference in data centers.

The companies intend to deploy the chip at large data centers and claim this is just the first generation in a long-term project that will see chips refined over time.

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