One of the most notable portions, for electric vehicle drivers at least, of President Joe Biden’s Build Back Better plan is the introduction of a massive $12,500 EV tax credit that will be offered to those who choose to drive sustainable cars. Now, new language revisions in the bill could see the EV tax credit turn into a “refundable credit,” which would give those who drive EVs an opportunity to receive a refund check that would put cash in their pockets.
Following Teslarati’s report on the EV Tax Credit portion of the Build Back Better plan over the weekend, the language in the proposal has been revised to reflect a refundable tax credit scenario for those who purchase EVs. Previously, the tax credit was used precisely as a “credit” would work. If a U.S. tax filer owed money on their taxes but bought an EV, the credit would eliminate the balance the filer owes on their taxes but would not put money in the filer’s pocket directly.
U.S. Senate Panel looks to boost EV Tax Credit to $12,500: What we know so far
Now, this may change, as the new language in the bill states that the credit would now be able to be obtained by the filer. The excess credit would then be converted into a check and sent to the filer, putting the amount in the EV driver’s pocket. Previously, if someone owed $2,500 in taxes and bought an EV that offered a $7,500 tax credit, it would eliminate the $2,500 balance, but the remaining funds would not be given to the driver. Instead, the additional funds would be returned to the government.
The new language would change the scenario completely. If someone owes $2,500 in taxes and bought an EV that offers a $7,500 tax credit, the $2,500 balance would be eliminated, and the remaining $5,000 would be sent to the driver in a check. CNET first reported the changes.
The advantages of an actual refundable credit could bring more effectiveness to the EV tax credit program altogether. Instead of people losing out on the remaining credit that is returned back to the government following their tax balance being eliminated, they will now be able to put the remaining funds back into their pocket, which could lead to several advantages for the car buyer. They could use the credit to install a home charger or put the entire balance toward their car loan.
Additionally, language would now give disqualified automakers, like Tesla and GM, who have sold 200,000 EVs and cannot offer the credit, the opportunity to provide the refundable tax credit for up to five years. After the first five years, the credit will only be available to use by EVs that are manufactured in the United States. Currently, the language regarding vehicle type price caps, which applies to SUVs, Trucks, and Vans up to $80,000 and “other,” which includes sedans, sits at $55,000 and under, still is present in the bill.
Income limits have been lowered to $500,000 for joint families, $375,000 for the head of household, and $250,000 for individual filers. These are relatively drastic reductions, especially as single filers were eligible with incomes of up to $400,000, and joint filers were not disqualified until the $800,000 yearly income mark.
Finally, used EVs will now qualify if the vehicle is at least two years old, costs under $25,000, and the household has an income of less than $75,000 for single filers and $150,000 for joint filers.
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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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
Elon Musk
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
