The Tesla Cybertruck. The Tesla Roadster. The Tesla Semi.
The three products above saw new expected production dates from Tesla CEO Elon Musk on Thursday at its “Cyber Rodeo” at Gigafactory Texas. Despite Tesla accomplishing so many incredible things over the past fourteen years, from basically financial ruin to the most valuable automaker in the world, 2023 is a chance for the company to truly break away from its competitors once and for all. It just has to come through on its promises.
It is no secret Tesla has come up short with some of its delivery timelines. The Cybertruck was slotted for production in late 2020. The Roadster’s revamped version has been pushed back several times. The Semi is still a priority, but so are saving battery cells for the mass-market vehicles Tesla produces. Full Self-Driving was slotted to be completed for the first time in 2018. 30,000 Robotaxis were expected to hit the streets by the end of 2021.
Then the pandemic hit in 2020, and the entire automotive industry felt the effects. While resilient in its efforts to avoid chip shortages, supply bottlenecks, and an extending backlog, Tesla took matters into its own hands. It said it developed 19 versions of microcontrollers thanks to the efforts of its in-house engineers, it ramped production of its 4680 battery cells, which it implemented in the first Made-in-Austin Model Ys, and it opened two new factories in the first four months of 2022, effectively doubling its production output as a company.
But more than anything, 2023 is a chance for Tesla to truly break away from its competitors in terms of its product line. While many companies are focused on passenger or commercial electric vehicles exclusively, Tesla has an opportunity to expand its product line to fit nearly every sector of transportation.
The Cybertruck will be the fourth all-electric pickup on the market, following the Rivian R1T, the GMC Hummer EV, and the Ford F-150 Lightning.
The Roadster will be the first of its kind: an estimated 600+ miles of range combined with an already proven and lightning-fast powertrain, and it might even hover.
Meanwhile, the Semi will expand the commercial electric vehicle market as Volvo’s VNR electric semi, and Nikola’s plans for commercial EVs continue to work through a tumultuous year.
Tesla’s Elon Musk predicts that 2023 will see massive “wave of new products”
The Cybertruck is absolutely the priority for Tesla: the truck has over 1 million pre-orders, and the list of reservations continues to grow with every new sighting. If Tesla can dial in production of the Cybertruck in 2023, it will not only deny so many naysayers of their skepticism, but it will also prove the company has effectively outgrown its cell supply shortages and parts bottlenecks.
The Roadster, while more of a novelty item, will bring the automaker’s revamped and revolutionary vehicle back from the dead. After so many customers and Referral Program winners may have given up on ever seeing the next-gen Roadster, Tesla bringing that project back from the dead would mean so much to the early adopters and the patient and loyal fans who have ached for the futuristic and sleek rebirth of the original Tesla vehicle.
The Semi would only prove Tesla dominance even further. It would be a large-scale commercial vehicle that supplements Tesla’s already robust and expansive product line. Covering the luxury, mass market, pickup truck, and commercial sectors would be monumental for a company that has already changed the overall architecture of the global automotive industry.
“My view is that many on the Street and the auto industry do not appreciate just how important and revolutionary the Austin factory is for Tesla,” Wedbush analyst Dan Ives said. “It changes the game for Tesla from a supply perspective along with Berlin-further flexes production muscles when other autos struggling.”
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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
