This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Tesla has tapped a new type of automotive glass from supplier AGP for the Plaid Model S, invoking the thought that everything, even the finest details of the vehicle, was considered a possible improvement for the company’s rebirth of the all-electric, flagship sedan.
Many months ago, Teslarati stumbled across a list of Tesla’s suppliers through international connections. These suppliers were shipping massive volumes of whatever product they were giving to Tesla on cargo ships, and we noticed that there was a company called AGP that was shipping windshields and other automotive glasses to the company’s Fremont Factory.
It turns out that AGP has been providing Tesla with automotive glass for several years. Back in 2016, AGP provided glass for the Model X’s panoramic roof and windshields. However, Tesla utilized AGC Automotive’s windshields for its cars, according to Investopedia.
AGP is a Peru-based company that specializes in all types of automotive glass, but what they’ve done for Tesla is especially interesting. The company has been in business for 50 years, but just like everything else, it changes, and the automotive industry is no different. As electric vehicles have become more mainstream, technologies surrounding the development of these new, sustainable automobiles are popping up left and right. AGP’s eGlass for electric and autonomous vehicles is no different.
Now, AGP says on its website that it collaborates “closely with the companies that are leading the new wave of the electric and autonomous vehicles of tomorrow.” When I first stumbled across AGP many months ago on the cargo ship list for Tesla, there was no indication that there was an official partnership, so I looked into it a tad further. I reached out to AGP and received a response that thanked me for my inquiry but refused to confirm or deny whether it was in any sort of professional relationship with Tesla. Ironically, AGP gave the answer we needed, because responding to me was all I needed to know.
Many may ask, “What’s the significance of what glass Tesla is using on its cars?” There are plenty of automotive glass suppliers out there that are worth their weight in gold, providing high-quality windshields and windows for vehicles on the road. Of course, consumers are going to want something that is relatively high quality, because nothing is worse than driving behind a tractor-trailer on the Interstate, just to have a chip or small crack on your windshield from something as tiny as a pebble. While strength is undoubtedly a need for all windshields, EVs require a slightly different bit of development.
One of the biggest focuses for EVs is their drag coefficient. Why is it so important? Because aerodynamics are crucial to the performance, range, and effectiveness of electric vehicles. As high-quality, long-range batteries are hard to come by in the EV sector, manufacturers look for every advantage they can get to achieve robust range ratings. While Tesla is the leader in EV range figures, the company is still looking for ways to get all of its vehicles to or near the 400-mile threshold.
Aerodynamics are a great way to do that. And Tesla undoubtedly worked extremely hard to achieve the best-in-class drag coefficient of .208, beating out the Lucid Air’s impressive .21 coefficient.
We knew aerodynamics was going to be a big part of the Plaid Model S when it was spotted at the Nürburgring two years ago. The vehicle was sporting a large spoiler, a huge rear diffuser, and the new eGlass from AGP is just another addition to Tesla’s attempts to make the Plaid Model S the most aerodynamic vehicle in its lineup.
A blue Tesla Model S Plaid unit with new aeros attacks the Nurburgring. (Photo: Stefan Baldauf/Auto Motor Uund Sport)
We finally confirmed that AGP was providing the highly aerodynamic and EV-specific automotive glass to the Model S Plaid thanks to Tesla Raj, who took a picture of the manufacturer’s sticker on the window of the all-electric sedan at Tesla’s Delivery Event on June 10th. This all confirmed Teslarati’s discovery of AGP in its supplier list several months ago and also confirmed that the two companies had a partnership, despite AGP’s unwillingness to provide a comment (which we understood why!)
New window manufacturer? pic.twitter.com/m4gjhkl7kR
— Tesla Raj (@tesla_raj) June 11, 2021
It makes me think about what Elon Musk may have needed to work on for the final week of Plaid development. When he had announced that the event was going to be delayed a week due to “tweaks,” I wondered whether it was software or hardware. While it was likely a software fix that needed to be addressed, it could have been related to the drag coefficient, which Tesla proudly displayed at the Plaid Event on the 10th. Nevertheless, the vehicle has finally been released to pre-orderers, and the fastest production car that has ever run the 1/4-mile drag is here, and it’s taking down anything in its path.
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I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!
-Joey
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
