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Tesla and GM’s dreams for an EV tax credit extension have been dashed

Model S 70D at the Tesla Store in Dedham, MA [Source: @Teslaliving]

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Tesla’s efforts to convince the US Congress to extend the tax credit for electric vehicles went down the drain as lawmakers declined to extend the country’s EV incentives.

The incentive for the purchase of electric vehicles helped boost the EV market in recent years and is seen as one major purchase factor among consumers considering to get a green car.  Such tax credits make electric vehicles more affordable and essential in the overall growth of the electric car industry. For example, in 2018, purchases of electric vehicles jumped by as much as 81% since 2017 with 361,307 EVs including plug-in hybrids sold during the year.

According to lawmakers who support the popular expansion of tax credit for electric vehicles, President Donald Trump is to blame.

“There has been extreme resistance from the president. I don’t know why the White House would want to stop jobs and the future of the auto industry,” said Michigan Democrat Senator Debbie Stabenow.

The tax credit for EVs has always been criticized by Republicans who see the subsidies as welfare for the wealthy and only benefits car manufacturers such as Tesla. Likewise, there was the usual counter-lobbying from petrochemical producers and refiners.

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Tesla, along with General Motors and other green car manufacturers, has been lobbying for the approval of the Growing Renewable Energy and Efficiency Now (GREEN) Act that will raise the cap of electric vehicle sales qualified for federal tax incentives from 200,000 units to 600,000 units. Both carmakers have hit their sales cap in 2018 and this means that those who will purchase Tesla vehicles starting January 1, 2020 are no longer qualified for tax credits. Without the federal tax credits, electric cars from these companies would have to compete in the auto market by their merits alone.

Under the existing rules, Tesla cars delivered on or before Dec. 31, 2018 received a $7,500 tax credit and this was later halved for deliveries made between Jan. 1 to June 30 this year. Those who purchased their Teslas July 1 through the end of 2019 qualify for $1,875 tax credits.

The EV Drive Coalition, which consists of car manufacturers such as Tesla and GM, has argued that the federal tax credit for electric vehicles directly benefit consumers.

“EV Incentives work to close that upfront cost gap and put Americans in EVs in greater numbers as the auto industry develops new cost-effective supply chains. Expanding the electric vehicle tax credit is not only critical in the fight against climate change, it also makes zero-emission vehicles accessible to more Americans, improves air quality, enhances our national security, and will grow an emerging industry that already supports nearly 300,000 American jobs,” EV Drive Coalition wrote.

Over the weekend, there were last-minute discussions about the possible extension of the federal tax credit for EVs as lawmakers tried to cram and pass a $1.4 trillion spending bill before government funds run out on Saturday. But unfortunately, efforts to extend the tax credit for EV purchases were unfruitful.

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Aside from incentives for EV purchases, the GREEN Act was also seen as a bill that would help further promote renewable energy and help create technologies that will ultimately reduce the country’s carbon footprint.

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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