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Tesla Model 3 production is reportedly closing in on 4,000 per week
After the scheduled shutdown in April, the Tesla Model 3 production line is reportedly closing in on 4,000 vehicles per week.
The figures were first reported by Tesla Motors Club member bkmxp100d, a Tesla owner who stated that they were informed of the numbers by a friend working at the Fremont factory. The production shutdown last month reportedly had a positive effect on the pace of the Model 3 line, allowing the electric car maker to manufacture 4,290 Model 3 in 7 days, with a peak of 638 vehicles in 24 hours. The next scheduled shutdown for the Model 3 line is reportedly scheduled for the May 26-May 27 weekend as well.
While the numbers provided by the Tesla enthusiast appear to be optimistic speculations, the ramp to 4,000 Model 3 per week is roughly in line with the estimates of Bloomberg‘s online tracker. Currently, the tracker shows that Tesla is pacing towards a rate of 4,000 vehicles per week. Other members of the forum community also stated that their own sources from Tesla are reporting Model 3 production figures hovering slightly below or just above the ~4,000/week range. VIN registrations from last week were encouraging as well, with Tesla filing more than 8,000 VINs in a single week.
Bloomberg‘s Model 3 tracker as of 05/14/18. [Credit: Bloomberg]
During the first-quarter earnings call, Elon Musk mentioned that what he is “most excited about” was the rapid increase in the production output of the Model 3 line. Musk even noted that the Model 3’s peak hours already correspond to 5,000 vehicles per week.
“The thing I’m most excited about is the rapid increase in output. We got just in the last 24 hours at the Gigafactory managed to achieve a sustained rate of over 3,000 packs per day – sorry, per week, and actually reached a peak hour with extrapolated outward would be a rate of about 5,000 cars per week.”
“We also saw enormous improvement in zone four of module production. This, I should point out, is a fully automated zone, and we’re able to also achieve sustained rates of 3,000 vehicles a week. So, we’re actually slightly ahead in factory module and pack production than expected. And with some work at the Fremont vehicle plant, primarily in the general assembly area, I’m confident we will very soon exceed the 3,000 mark in Fremont.”
Responding to an article published by Ars Technica about how the company’s issues with its machinery were reflective of GM’s struggles back in the 1980s, Musk recently tweeted that the company is currently working on the Model 3 line’s “worst production choke points.” Musk also noted that a “Hackathon” — a fast-paced programming session that sometimes lasts for days — is currently ongoing, in order to address bottlenecks in the Model 3 line.
Fair criticism, but we’re fixing it fast. Hackathon going on right now to fix 2 worst robot production chokepoints. Looks promising.
— Elon Musk (@elonmusk) May 14, 2018
Since the first-quarter earnings call, Elon Musk has doubled down on his rhetoric about the Model 3’s production numbers and Tesla’s profitability by the third or fourth quarter of 2018. Just a couple of days after the earnings call, Musk stated that the “short burn of the century” is about to come.
“Oh and uh short burn of the century coming soon. Flamethrowers should arrive just in time. It will be next level. These are really big numbers,” Musk tweeted.
Musk also took the battle to the company’s short-sellers, buying 27,097 Telsa shares, which correspond to an investment of nearly $10 million in TSLA.
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.”
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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.
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
