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Jon Keegan

Texas AG Paxton sues General Motors for secretly collecting and selling driver data

Texas Attorney General Ken Paxton announced a lawsuit accusing GM of illegally selling the private driving data of 1.5 million Texans.

The lawsuit follows an investigation the AG's office announced in June looking at several car manufacturers' undisclosed collection of driver data, and the sale of that data to insurance companies.

A New York Times report in March detailed GM's sales of driver data to broker LexisNexis, through an optional data-collection program that also scooped up driver data without the drivers' consent. As Sherwood News reported in May, many other carmakers use similar tracking technology, and those companies have made opting out maddeningly difficult.

“Our investigation revealed that General Motors has engaged in egregious business practices that violated Texans’ privacy and broke the law. We will hold them accountable,” wrote Paxton in a statement.

The lawsuit claims that GM dealers pressured customers to enroll in the connected car services that enabled the collection when buying their cars, burying the privacy details of the program at the end of lengthy agreements. The use of "dark patterns" in the data services agreement was also detailed, such as displaying ominous warning screens when users declined to enroll in the program.

Today's connected vehicles supply a firehose of detailed car data, including location and driving behavior. Insurance providers offering usage based insurance is one of the biggest applications of driver data, but the connected vehicle data industry has struggled to live up to expectations. 

"Millions of American drivers wanted to buy a car, not a comprehensive surveillance system that unlawfully records information about every drive they take and sells their data to any company willing to pay for it," wrote Paxton. 

A New York Times report in March detailed GM's sales of driver data to broker LexisNexis, through an optional data-collection program that also scooped up driver data without the drivers' consent. As Sherwood News reported in May, many other carmakers use similar tracking technology, and those companies have made opting out maddeningly difficult.

“Our investigation revealed that General Motors has engaged in egregious business practices that violated Texans’ privacy and broke the law. We will hold them accountable,” wrote Paxton in a statement.

The lawsuit claims that GM dealers pressured customers to enroll in the connected car services that enabled the collection when buying their cars, burying the privacy details of the program at the end of lengthy agreements. The use of "dark patterns" in the data services agreement was also detailed, such as displaying ominous warning screens when users declined to enroll in the program.

Today's connected vehicles supply a firehose of detailed car data, including location and driving behavior. Insurance providers offering usage based insurance is one of the biggest applications of driver data, but the connected vehicle data industry has struggled to live up to expectations. 

"Millions of American drivers wanted to buy a car, not a comprehensive surveillance system that unlawfully records information about every drive they take and sells their data to any company willing to pay for it," wrote Paxton. 

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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.

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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.

$1B

Apple is behind the rest of Big Tech when it comes to developing its own AI, but that hasn’t stopped it from cashing in on the AI boom. The iPhone maker stands to bring in more than $1 billion in App Store fees this year from other companies’ generative-AI apps, mostly from ChatGPT, The Wall Street Journal reports, citing data from App Magic.

Unlike rivals pouring hundreds of billions into AI infrastructure, Apple’s spending has been relatively modest, with its overall capital expenditure actually declining last quarter. Its lucrative App Store model lets Apple profit from AI as a gatekeeper without fully joining the expensive race to build it.

Multicolor Sticks

OpenAI is shipping everything. Anthropic is perfecting one thing.

The two AI titans are in a race to grow revenues, but they have very different strategies for releasing products. And one approach appears to be winning out.

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