News
eBike incentives are back on the table in the U.S.
A bill has been reintroduced in the House of Representatives to incentivize the purchase of an ebike in the United States.
Many view electric vehicles as the primary solution to helping ordinary people limit their day-to-day carbon emissions, but others believe more drastic action may be necessary. To help even further cut down on carbon emissions for many Americans, some propose ebikes as a valid alternative. To further this cause, a bill has been proposed in the U.S. Congress to incentivize their sale.
According to David Zipper, who initially reported the new bill’s appearance on Twitter, the upcoming bill is a reintroduction of a previous bill that was defeated just two years ago.
BREAKING: The federal e-bike bill is BACK.
A new proposal would give Americans up to $1,500 off a new e-bike.
This bill is similar to its predecessor, which came tantalizingly close to passing last year. BUT there are some key differences.
?https://t.co/OQYWoqjohz pic.twitter.com/BH0AeRHmAu
— David Zipper (@DavidZipper) March 21, 2023
As noted by Zipper’s lengthy Twitter thread, the EBIKE Act, introduced by Representatives Jimmy Panetta (D, CA), Earl Blumenauer (D, OR), Mike Thompson (D, CA), and Adam Schiff (D, CA), shares much with its killed predecessor, but with some fundamental changes. The bill has been introduced alongside a companion bill in the Senate, proposed by Senator Brian Schatz (D, HI).
The EBIKE Act, which stands for the Electric Bicycle Incentive Kickstart for the Environment Act, would provide Americans up to $1,500 or 30% of the purchase price of an ebike of their choosing (whichever is less). This includes not only traditional ebikes but also e-cargo bikes and etrikes, up to the max purchase price of $8,000.
While this structure is similar to its predecessor, the new EBIKE Act raises the maximum income limit to $150,000 for individuals or $300,000 for joint filers. Further, the incentive would be made available through retailers, making it easier for buyers to receive the discount. Lastly, an ebike would only qualify for incentives if it passed a thorough safety qualification, primarily aimed at its battery system.
While this would be the first ebike incentive from the federal government, it certainly wouldn’t be the first in the United States. Numerous states and cities have already implemented ebike incentives of their own.
As David Zipper noted, this bill has more than double the number of representatives backing it, which could aid its efforts as it heads to the House floor. However, it is far from a slam dunk. Unlike the previous bill, the EBIKE Act is entering a divided Congress. Furthermore, many notable concerns from both Democrats and Republicans have not been addressed in the new iteration of the Act.
Unlike incentives available in Cities and States, this bill would primarily help those living in urban areas who can use their area’s more prevalent bike infrastructure. Further, with the bill’s aim to limit carbon emissions, a traditional bicycle still beats an ebike in this regard, making some question why this segment is not included in the incentive pool as well. Nonetheless, before this bill can get anywhere near a vote, it may need significant tweaking and will still have to battle for a slot in a hostile, divided legislature.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
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
