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Traffic to claude.ai has risen sharply

But ChatGPT remains the industry leader

Open Rivalry

Since its launch in November 2022, ChatGPT has become synonymous with AI chatbots, inspiring a swathe of competitors. One of those, Claude, is gaining serious traction with users.

From a company called Anthropic — a startup founded by former OpenAI employees (see here for how lucrative being an ex-OpenAI employee can be) — Claude has seen a surge in popularity since the release of Claude 3 in March. And yesterday, the Amazon-backed company announced its latest product, Claude Enterprise.

By entering the enterprise market, Anthropic is now competing for OpenAI’s 1 million corporate users. Like OpenAI, Anthropic’s offering boasts a promise that interactions with Claude won’t be used to train the model itself — a feature designed to appeal to the ongoing concerns around data privacy.

Last month, claude.ai received over 15 million visits across web and mobile platforms in the US, according to data from Similarweb. While those numbers are impressive, they still pale in comparison to ChatGPT’s 337 million visits in the same month — a gap that’s also reflected in the relative valuations, with Anthropic’s ~$18 billion valuation significantly overshadowed by OpenAI’s $100+ billion price tag.

With over 90% of Fortune 500 companies reportedly using some iteration of its products, OpenAI has a serious head start. But history shows that being first doesn’t guarantee long-term success. After all, Amazon wasn’t the first online marketplace, and Google wasn’t the first search engine. The chatbot wars are just getting started.

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Google testing Gemini app for Mac, aims to compete with Claude Cowork and Codex

Bloomberg reports that Google is testing a new version of its Gemini AI app that runs on Apple’s Mac computers.

Currently both OpenAI’s Codex and Anthropic’s Claude have Mac apps, which allow for deeper AI automation with files on the computer.

Google is testing a feature called Desktop Intelligence, which grants Gemini access to the items on the user’s screen, according to the report. The app is currently in beta testing.

Google is testing a feature called Desktop Intelligence, which grants Gemini access to the items on the user’s screen, according to the report. The app is currently in beta testing.

tech

Bezos seeks $100 billion for AI-enhanced manufacturing fund, WSJ reports

Amazon founder Jeff Bezos is seeking to raise a $100 billion fund that would purchase manufacturing companies and use AI to automate their work processes, according to a new report from The Wall Street Journal.

The fund would use technology from Project Prometheus, where Bezos was recently named co-CEO. The startup aims to apply the latest generative-AI breakthroughs to reinvent industrial manufacturing.

The $100 billion fund would be used to buy existing manufacturing businesses to transform, per the report.

Bezos has reportedly met with the heads of sovereign wealth funds in the Middle East and recently traveled to Singapore as part of the fundraising effort.

The $100 billion fund would be used to buy existing manufacturing businesses to transform, per the report.

Bezos has reportedly met with the heads of sovereign wealth funds in the Middle East and recently traveled to Singapore as part of the fundraising effort.

tech

OpenAI acquires Astral, adding talent to Codex team

OpenAI has acquired open-source Python tool developer Astral, bringing aboard additional coding talent for its Codex team.

The company said the acquisition will help Codex “expand beyond coding” by helping address a wider range of development tasks, such as planning, testing, and code maintenance.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

tech

Elon Musk gives an estimate for Tesla’s AI6 chip timeline... while the AI5 is still unfinished

Tesla CEO Elon Musk said yesterday that the company’s AI6 chip could, with “some luck and acceleration using AI,” be finalized and sent to manufacturing by December. For those paying attention, Tesla hasn’t confirmed that its previous chip, the AI5, has reached tape-out, with Musk saying only that the design is in “good shape” and “almost done.” Still, Musk is already talking about subsequent chips AI6, AI7, AI8, and beyond.

Here’s a roundup of when these chips are expected, what they’re supposed to do, and what Musk himself has said about them.

While the AI5 and AI6 will be made by TSMC and Samsung, respectively, Musk has said Tesla eventually aims to manufacture its future AI chips at Tesla’s upcoming Terafab factory in Austin.

tech

NHTSA expands Tesla FSD probe, focusing on whether system can detect when cameras can’t see the road

The National Highway Traffic Safety Administration said it is expanding its probe into Tesla’s Full Self-Driving system into an engineering analysis covering about 3.2 million Teslas, a majority of its vehicles that are on the road in the US, Reuters reports.

The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

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