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Tesla has officially issued a recall on over 200,000 vehicles in the US over the self-driving computer inside the vehicle short-circuiting and failing to work.

This is an issue that Electrek has been reporting on for a month.

In December, Electrek released an exclusive report about Tesla having a major issue with a new version of its onboard “Full Self-Driving computer,” AI4.1, failing due to a short circuit, and Tesla must replace the computers.

We found examples of the issue arising as far back as July. The problem can start quickly, within a few miles on a brand-new car or after a few hundred to a few thousand miles.

When the computer fails, many vehicle features stop working, like active safety features, auto wipers, auto high beams, cameras, and even GPS, navigation, and range estimations.

Tesla’s fix was to replace the computer completely, but sources also mentioned a temporary software fix to enable some of the features in the meantime.

We followed up with another report earlier this week that highlighted how it is leaving customers in a difficult situation without the features and with faster battery degradation as the computer appears stuck in an auto-update mode that drains 5 kWh per day.

In the latest report, we also mentioned that Tesla has yet to issue a recall regarding this issue despite having to do so since these vehicles have become non-compliant with NHTSA without rear-view cameras.

Today, Tesla officially released a recall over the issue. For the first time, we get a better idea of the affected population, which adds up to 239,382 vehicles:

The subject population includes certain Model Year (MY) 2024 – 2025 Model 3, MY 2023-2025 Model Y, MY 2024-2025 Model S and MY 2023-2025 Model X vehicles that were equipped with certain car computers and operating a software release that was prior to 2024.44.25.3 or 2024.45.25.6

In the recall notice, Tesla describes the non-compliance:

On a small percentage of affected vehicles, upon vehicle power up, a reverse current may cause a shorting failure on the car computer board, resulting in the loss of rearview camera functionality, which does not comply with FMVSS 111, S5.5 and S6.2

Again, the problem is much larger than that as the entire computer fails, but the automaker only mentions the rear-view camera because that’s the part that makes it a safety risk and non-complaint.

Tesla says that it noticed the higher rate of computer failure on November 21, 2024. It started investigating and after about a month, it believes it has an idea of the cause, which would be several factors working together:

This sequence of specific software and hardware configurations, coupled with colder temperatures, could increase reverse current, which could short the primary and/or secondary power components.

    As of December 30, 2024, Tesla has identified 887 warranty claims related to this issue.

    In the remedy section of the recall, Tesla explains that it will push the software fix to the entire population, but it will also continue to provide computer replacement for vehicles who experience shorting:

    On or shortly after December 18, 2024, at no cost to customers, affected vehicles began receiving an over-the-air (OTA) software update that changes the vehicle power up sequence to prevent the shorting failure condition to the primary and/or secondary power component. No further action is necessary from owners of affected vehicles that are equipped with software release 2024.44.25.3, 2024.45.25.6 or a later release if an affected vehicle has not experienced the shorting failure condition or stress that may lead to the shorting failure condition. Tesla is actively working to identify which affected vehicles, if any, experienced stress that may lead to the shorting failure condition. If an affected vehicle experienced the shorting failure condition or stress that may lead to the shorting failure condition prior to installing software release 2024.44.25.3, 2024.45.25.6 or a later release, then Tesla will replace the vehicle’s car computer at no cost to the customer.

    We reported that some customers experiencing this issue are having to wait for months for a computer replacement.

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Altman, Huang and the last-minute negotiations that sealed the $100 billion OpenAI-Nvidia deal

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Altman, Huang and the last-minute negotiations that sealed the 0 billion OpenAI-Nvidia deal

Sam Altman, CEO of OpenAI (L), and Jensen Huang CEO of Nvidia.

Reuters

ABILENE, Texas – Sam Altman had a deadline. OpenAI’s CEO was headed to Texas to unveil his company’s next big infrastructure push, and Nvidia CEO Jensen Huang wanted in on the action.

Through a series of hurried negotiations, late-night calls and last-minute contract tweaks, the two giants of artificial intelligence struck a $100 billion partnership on Monday, hours before Altman boarded his flight to Abilene, a city of about 130,000 residents roughly 180 miles west of Dallas.

It helped that Huang and Altman had been part of President Donald Trump’s state visit to the U.K. a week earlier, allowing the president to be briefed on the agreement days in advance. 

The deal, which Huang described to CNBC as “monumental in size,” marks a watershed moment in the tech industry, as capital and influence are increasingly concentrated in the hands of the two companies closest to the heart of the artificial intelligence boom.

Huang now presides over the world’s most valuable public company, worth nearly $4.5 trillion after gaining $170 billion following Monday’s announcement, while Altman runs the most prominent startup on the planet, valued at half a trillion dollars.

OpenAI’s ascent to the forefront of generative AI has relied on Nvidia’s high-powered graphics processing units (GPUs). Now the companies are more intimately linked than ever, as they plan to carve a path to jointly building the next wave of AI supercomputing facilities.

“You should expect a lot from us in the coming months,” Altman told CNBC’s Jon Fortt in an interview at Nvidia’s Silicon Valley headquarters on Monday. “There are three things that OpenAI has to do well: we have to do great AI research, we have to make these products people want to use, and we have to figure out how to do this unprecedented infrastructure challenge.”

Altman and Huang negotiated their pact largely through a mix of virtual discussions and one-on-one meetings in London, San Francisco, and Washington, D.C., with no bankers involved, according to people close to the talks who declined to be named because they weren’t authorized to speak publicly on the matter.

The arrangement calls for Nvidia to invest $10 billion at a time in OpenAI, the company behind ChatGPT. As the buildout unfolds, Nvidia will also supply the cutting-edge processors powering a host of new data centers.

While OpenAI gets more intimate with Nvidia, it has to maneuver through a number of high-stakes relationships with other key partners.

OpenAI only informed Microsoft, its principal shareholder and primary cloud provider, a day before the deal was signed, the people familiar with the matter said. Earlier this year, Microsoft lost its status as OpenAI’s exclusive provider of computing capacity.

The pact also comes less than two weeks after a disclosure from Oracle indicated that OpenAI agreed to spend $300 billion in computing power with the company over about five years, starting in 2027. At the start of the year, OpenAI joined Stargate, a multibillion-dollar project announced by President Trump and backed by Oracle and SoftBank, to build out next-generation AI infrastructure.

Going forward, all of OpenAI’s infrastructure projects will fall under the Stargate umbrella.

Representatives from Microsoft, Oracle and SoftBank didn’t immediately respond to requests for comment.

Nvidia and OpenAI provided scant details about where and when the buildout will take place, other than to say that the first of the 10 gigawatt sites will go online in the back half of next year.

Executives said they’ve reviewed between 700 and 800 potential locations since unveiling Stargate in January. In the months that followed, they fielded a flood of proposals from developers across North America offering land, power, and facilities. That list has been narrowed as OpenAI weighs energy availability, permitting timelines, and financing terms, the company said.

In Monday’s announcement, OpenAI described Nvidia as a “preferred” partner. But executives told CNBC that it’s not an exclusive relationship, and the company is continuing to work with large cloud companies and other chipmakers to avoid being locked in to a single vendor.

OpenAI CEO Sam Altman and Nvidia CEO, Jensen Huang arrive to attend the State Banquet during U.S. President Donald Trump’s state visit, at Windsor Castle, in Windsor, Britain, September 17, 2025.

Phil Noble | Reuters

For Nvidia, the investment in OpenAI is historic in size, but it’s just a big piece of a rapidly expanding portfolio.

Last week, Nvidia put $5 billion into Intel as part of a joint venture to co-develop data center and PC chips with the troubled chipmaker. Nvidia also said it invested close to $700 million in U.K. data center startup Nscale, a move that resembles Nvidia’s backing of U.S. AI infrastructure provider CoreWeave, which held its IPO in March.

Tranches of money

The financing structure for the OpenAI deal is designed to avoid hefty dilution. The initial $10 billion tranche is locked in at a $500 billion valuation and expected to close within a month or so once the transaction has been finalized, people familiar with the matter said. Nine successive $10 billion rounds are planned, each to be priced at the company’s then-current valuation as new capacity comes online, they said.

The relationship between Nvidia and OpenAI long predates the launch of ChatGPT in 2022.

Back when OpenAI was still a small nonprofit research lab and Nvidia was best known for building graphics chips for video games, Huang personally delivered his company’s first DGX supercomputer to OpenAI’s office in 2016. At the time, the startup was located in San Francisco’s Mission District, in a building that’s now home to Elon Musk’s xAI.

Almost a decade and trillions of dollars in value later, Huang and Altman are perhaps the most significant power players in the tech industry.

In October of last year, Nvidia formalized its financial stake in OpenAI, joining a $6.6 billion funding round that valued the company at $157 billion. A month later, in Tokyo, OpenAI executives met with SoftBank CEO Masayoshi Son to brainstorm what to call their next phase of expansion. Out of that session came “Stargate,” a codename that has since become shorthand for OpenAI’s most ambitious buildout plans.

Stargate now encompasses every major deal for compute capacity, including this week’s partnership with Nvidia. Securing the rights to the name required some careful maneuvering, but OpenAI has embraced it as the banner for its long-term infrastructure strategy.

OpenAI CFO Sarah Friar: Biggest issue we face is being 'constantly under compute'

The $100 billion commitment from Nvidia represents only part of what’s required for the planned 10-gigawatt buildout. OpenAI will lease Nvidia’s chips for deployment, but financing the broader effort will require other avenues. Executives have called equity the most expensive way to fund data centers, and they say the startup is preparing to take on debt to cover the remainder of the expansion. 

As OpenAI’s compute necessities increase, a big question is where the company will host its workloads, which have to date been largely housed in Microsoft Azure. Taking the work in-house would push OpenAI closer to operating as a first-party cloud provider, a market led by Amazon Web Services, followed by Azure, Google and Oracle.

Executives have openly floated the idea, suggesting it may not be far off. Some even indicated to CNBC that a commercial cloud offering could emerge within a year or two, once OpenAI has secured enough compute to cover its own needs. For now, demand for training frontier models leaves little capacity to spare, but OpenAI isn’t done looking for new opportunities.

As Altman and Huang hammered out details of the arrangement that was announced this week, OpenAI’s infrastructure team was in Tokyo meeting with SoftBank’s Son to discuss broader financing and manufacturing support.

The parallel talks underscored the scale of Altman’s ambition, and the web of global players now involved in bringing it to life.

WATCH: OpenAI restructuring clears hurdle

OpenAI restructuring clears hurdle

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Orsted shares jump 7% after U.S. court overturns Trump project block

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Orsted shares jump 7% after U.S. court overturns Trump project block

Burbo Bank, Liverpool Bay, England, viewed from the sea turbines on Burbo wind farm off the U.K. coast.

Ucg | Universal Images Group | Getty Images

Shares of Danish renewables giant Orsted jumped on Tuesday, after a U.S. judge ruled the embattled firm can resume construction of an offshore wind farm that was halted by the Trump administration.

The decision means Orsted can resume work on the nearly completed Revolution Wind project off the coast of Rhode Island and Connecticut.

Shares of the Copenhagen-listed company were among the top performers on the pan-European Stoxx 600 index during morning deals. The stock price, which notched a fresh record low last month, was last seen up around 6.6%.

The U.S. District Court for the District of Columbia on Monday granted a preliminary injunction sought by Orsted to overturn the Trump administration’s stop-work order, allowing construction on Revolution Wind to resume while the lawsuit progresses.

Orsted on Monday said it would start work on the project “as soon as possible.”

The company’s shares have tumbled 22.4% this year amid the Trump administration’s more aggressive stance towards renewables.

On Sept. 5, the Danish firm cut its full-year operating profit outlook following lower-than-normal offshore wind speeds during July and August. Orsted also received approval from shareholders for an emergency 60 billion Danish krone ($9.48 billion) rights issue to raise capital. Norwegian energy group Equinor said it would pledge almost $1 billion of fresh capital as part of the fundraising.

Trump block

The court victory represents a significant reprieve for the Danish company, which has been hit hard by U.S. President Donald Trump’s hardline stance on offshore wind projects.

Since his return to the White House earlier this year, Trump has clamped down on the wind power industry. On his first day in office, Trump signed an executive order suspending new or renewed onshore and offshore wind leases.

The U.S. president, who is championing America’s oil and gas industries, told reporters in January that his administration was “not going to do the wind thing.”

The Department of Transportation last month said it was withdrawing $679 million of funding for a dozen infrastructure projects that support offshore wind development and would instead redirect the money to upgrade existing ports and other infrastructure, where possible.

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Blink + Hubject unlock easier EV charging across North America

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Blink + Hubject unlock easier EV charging across North America

Blink Charging (Nasdaq: BLNK) has struck a deal with Hubject to make charging easier for EV drivers across North America.

The agreement will bring Blink into Hubject’s intercharge eRoaming platform as a charge point operator. That means electric mobility service providers (eMSPs) and their customers in the US, Canada, and Mexico will soon have access to Blink’s charging stations through their existing apps. In turn, Blink drivers will gain better access to stations connected through Hubject’s network.

Hubject, which already connects more than 1 million charging points and 2,750 partners worldwide, expects the integration to strengthen its North American presence by adding Blink’s wide-ranging network of chargers, from Level 2 workplace stations to DC fast charging. Blink, meanwhile, anticipates more customers will plug in, thanks to Hubject’s reach.

“Our collaboration with Blink marks an important step in expanding our North American intercharge network,” said Trishan Peruma, CEO of Hubject North America. “By integrating Blink’s network into our eRoaming platform, we aim to help reduce barriers that have historically complicated EV charging and to support the continued growth of EV adoption across the United States, Canada, and Mexico.”

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Blink Charging’s president and CEO Mike Battaglia added, “Connecting the Blink Network to Hubject’s platform will allow more drivers to benefit from interoperable charging while traveling.”

The integration will use the industry-standard OCPI protocol to keep billing and communication between networks secure and reliable. Deployment is planned in phases throughout 2025, with full integration targeted for the end of the year.

Read more: Blink just made it a lot easier to find its charging stations


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