News
How President Biden’s ‘Build Back Better’ plan could bring legacy carmakers into the 21st Century
The introduction of President Joe Biden’s “Build Back Better” plan ignited some electric vehicle enthusiasts with a new sense of relief that their country was considering revamping the EV incentive program in the United States. However, some automakers, specifically Tesla, which is not unionized, will not feel the advantages of favoritism that could result in legacy automakers getting an updated look at some of their production facilities. If the fans and owners of the car companies that will not receive specialized treatment due to unions, at least they can sleep at night knowing the outdated legacy companies will receive a boost, which will only accelerate the United States’ transition to electric vehicles.
President Biden is scheduled to visit GM’s Factory Zero in Detroit today, highlighting the Democrat’s focus on accelerating the mission of electrifying the country’s vehicle fleet. That is, if you are operating with unionized workers. While the lack of acknowledgment of industry leaders like Tesla has fueled some EV enthusiasts to highlight the questionable commitment of the President, Biden is still helping out the legacy automakers and has a reasonable portion of the “Build Back Better” budget set aside to bring lagging car companies up to date with their technologies.
U.S. Senate Panel looks to boost EV Tax Credit to $12,500: What we know so far
Biden, along with Democrats in Congress, has already proposed nearly $50 billion in tax breaks, including a focus on EVs becoming a mainstay of government transportation. Now, Biden’s plan will provide loans for retooling factories to bring facilities up to speed with the manufacturing of electric vehicles and packages that will assist automotive plant communities.
Of the “Build Back Better” plan’s budget, $3.5 billion is set aside for the retooling and revival of U.S. automotive production factories. It would allocate some spending in the plan to see that traditional U.S. automakers cannot say that they do not have the technologies or the ability to produce EVs. The factories would be revolutionized by being converted into high-tech EV manufacturing sites. These manufacturers could also receive up to $3 billion in loans through the Department of Energy Advanced Technology Vehicles Manufacturing Loan Program. Additionally, communities in these areas are set to see the revival of nearly $3.7 billion in incentives, Reuters reports.
Architectural rendering of the completed first phase of GM’s Wallace Battery Cell Innovation Center. The Wallace Center will will accelerate new technologies like lithium-metal, silicon and solid-state batteries along with production methods that can quickly be deployed at battery cell manufacturing plants like GM’s joint ventures with LG Energy Solution in Lordstown, Ohio, and Spring Hill, Tennessee, along with other undisclosed locations.
Gerald Johnson, GM’s Head of Global Manufacturing, told the media outlet that federal spending on this level could increase demand for EVs. The advances in vehicle manufacturing could introduce higher-quality vehicles with more admirable features. The re-introduction of the EV tax credit also contributes significantly to consumer interest in purchasing EVs. Johnson said GM’s North American EV assembly capacity will reach 20% in 2025, and 50% in 2030.
Biden’s plan does not only benefit the lagging automakers by fronting the money for rejuvenation of automotive manufacturing facilities but the consumer as well. Biden’s plan reintroduces the EV tax credit, with up to $12,500 being offered. The credit may put cash directly into consumers’ pockets.
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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
