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Rani Molla

China drafts auto data rules, potentially a stepping stone toward Tesla’s full self-driving in the country

For the first time, the Chinese government has released draft guidelines for how car data generated there can be “queried, retrieved, downloaded and exported,” Bloomberg reports, saying the move could “pave the way for the wider rollout of Tesla’s most advanced driver-assistance functions in the world’s largest car market.”

Since the team for its so-called full self-driving (FSD) technology is based in the US, a framework for transmitting data is necessary to progress the technology there, Bloomberg says.

Tesla, which has partnered with Baidu in China to process mapping data, rolled out some FSD tools to China earlier this year. The company faces steep competition from local rivals like BYD that already offer plenty of driver assistance features as a standard.

Of course, the term “full self-driving” is still a bit of a misnomer, since the technology currently requires human supervision. Tesla says it plans to offer its first paid driverless robotaxi ride on June 22, so we will soon see if its actual autonomous driving works (with the caveat that there will be remote drivers available).

Still, the China rules are good news for Tesla, as CEO Elon Musk has said he believes scaling autonomous driving is more of a regulatory problem than a technical one.

“Once we can make it work in a few cities in China, we can make it work anywhere in China — likewise in Europe, limited only by regulatory approvals,” Musk said on the company’s latest earnings call.

Since the team for its so-called full self-driving (FSD) technology is based in the US, a framework for transmitting data is necessary to progress the technology there, Bloomberg says.

Tesla, which has partnered with Baidu in China to process mapping data, rolled out some FSD tools to China earlier this year. The company faces steep competition from local rivals like BYD that already offer plenty of driver assistance features as a standard.

Of course, the term “full self-driving” is still a bit of a misnomer, since the technology currently requires human supervision. Tesla says it plans to offer its first paid driverless robotaxi ride on June 22, so we will soon see if its actual autonomous driving works (with the caveat that there will be remote drivers available).

Still, the China rules are good news for Tesla, as CEO Elon Musk has said he believes scaling autonomous driving is more of a regulatory problem than a technical one.

“Once we can make it work in a few cities in China, we can make it work anywhere in China — likewise in Europe, limited only by regulatory approvals,” Musk said on the company’s latest earnings call.

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White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

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WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

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