Tesla’s next-generation Roadster is designed to be the halo car that outperforms the world’s top supercars in speed, power, and range while shattering world records in the making. But beyond its promised vertigo-inducing performance specifications, the vehicle’s looks competes with the best exotics with its low profile, wide stance, and sleek, aerodynamic lines.
The Silicon Valley electric carmaker appears to have one working prototype of the next-generation Roadster that’s painted in a rich, blazing red. It’s not quite the signature red paint job featured in Elon Musk’s personal Tesla Roadster that was sent on a journey to Mars, but the paint scheme of the prototype is unmistakable and eye-catching. Tesla also appears to have two to-scale models of the next-gen Roadster as well — a midnight silver-esque one featured during the unveiling last November and a white multicoat Roadster that was unveiled in the 2018 Annual Shareholder Meeting.
Considering the next-gen Roadster’s design, there’s arguably not a single color that wouldn’t be jaw-dropping on the all-electric supercar. Graphic designer Miguel Castro exhibited some creativity after the vehicle’s unveiling by envisioning how the Roadster would look in several colors, including “Electric Blue”.
Teslarati‘s very own Reese Wilson also reimagined the 2020 Roadster in a menacing matte black. But matte-colored Teslas won’t be making their way to the factory paint shop anytime soon.
YouTuber and renown tech reviewer Marques Brownlee, and devout fan of matte black everything, digs deeper to find out why Tesla might be sticking to the more traditional glossy paint. In his recent tour of Tesla’s Fremont factory with CEO Elon Musk, Marques asked Musk if Tesla would ever offer a matte black option for its vehicles, particularly since the company did showcase a matte Model 3 prototype when the electric sedan was initially unveiled. Elon Musk’s response was encouraging, at least for the future.
“I actually like the aesthetics of matte. It’s really tricky to repair matte. With gloss, you can polish it out. With matte, if you get like a little ding, it’s really hard to then rematch so it looks like an even matte. We’d like to do matte in the future, but right now, for example, the paint shop is really operating at full tilt, so adding any complexity to the paint shop would not be wise right now, but I think it will be a cool thing to do in the future,” Musk said.
One of the areas that Tesla has struggled in with regards to the Model 3 production ramp was the Fremont factory’s paint shop. In the Q2 2018 earnings call, Musk noted that Tesla is “figuring out how to make the paint shop a lot simpler and general assembly a lot simpler” as the company starts producing the Model 3 in even higher volumes. Tesla’s appears to have made progress with its paint shop improvements since then, as evidenced by the company uploading a rather lighthearted video of a cow udder-like robot used for painting the Model 3.
There is a pretty good chance that Tesla would not be offering matte black as an option for the next-gen Tesla Roadster. Nevertheless, some owners of the all-electric supercar who are fond of the color would likely use wraps as a way to make their vehicles more unique. One of these is Unplugged Performance’s Burnt Orange wrap for the Tesla Model S, which is pretty eye-catching in its own right.
The next-gen Roadster would most likely shatter a lot of competition when it starts rolling out to customers in 2020, especially since the vehicle’s insane specs announced by Musk during its unveiling is true only for the supercar’s base model. Musk has since mentioned another trim for the next-gen Roadster, and that would be even crazier in terms of raw power and speed. That trim is the SpaceX option, a variant of the Roadster that would literally feature rocket tech from SpaceX, Musk’s private space venture. To boost the vehicle’s performance, Musk plans on using Composite Overwrapped Pressure Vessels (COPV), which are used in SpaceX’s first-stage rocket boosters during re-entry and landing.
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
