News
Tesla shares rare look into its crash lab and how its EVs are made safer over time
Teslas are already among the safest, if not the safest, vehicles on the road today. Thanks to their all-electric design, Teslas have garnered a reputation for protecting their occupants even in serious accidents. As indicated by the company in a recent video, however, its vehicles are only going to get even safer with time. This is in no small part due to the efforts of the company’s engineers working in the Tesla crash lab.
A rare look at Tesla’s crash lab was recently posted on the company’s official YouTube channel. In the video, several engineers working at the state-of-the-art facility explained how Tesla goes above and beyond in its efforts to release the safest vehicles possible to customers. To accomplish this, Tesla utilizes its key strengths, from its ever-expanding fleet and its mastery of software, to simulate, develop, and improve its vehicles’ safety systems.
As noted by one of the company’s safety engineers, automakers typically build vehicles for industry crash testing. However, the scenarios represented by industry tests typically correspond to but a fraction of real crashes that happen on the road. Through the data it has gathered from its fleet, Tesla has learned that real-world crashes are a lot more complex than those typically simulated by industry tests. It is these more complex, varied, and difficult crashes that Tesla is addressing in its lab.
“Previously, the best way to design a safe car was for industry-standard crash testing, and those crash tests are like a few grains of sand that are meant to represent the beach. But in reality, the beach is infinitely more complex. Every crash is different. With emerging technologies, there are new opportunities now. We can look at the real world and design for that,” Dan, a Tesla safety engineer, noted.
Thanks to a fleet of vehicles that are fully instrumented from a sensing perspective, Tesla is able to determine the exact circumstances that happen in the event of a real-world collision. Using the data gathered from these events, the company could then tune its vehicles’ safety systems, from the reaction of seatbelts to the optimal timing for the deployment of airbags. Tesla tunes its vehicles’ safety systems extensively, and once improvements are refined enough, the improvements are queued to be released in one of the company’s over-the-air updates.
These updates are then distributed to the company’s fleet of vehicles, effectively making the Tesla fleet safer overnight. What is quite incredible is that the company does this completely free of charge. As highlighted by Anders, one of the video’s featured safety engineers, Tesla is hoping that over time, its safety efforts could actually become the industry standard. Such a change could make the roads significantly safer.
“We think over time, this will change how you design for vehicle safety. It’s all based on knowledge. I think this is just the beginning of a journey for us. The reason we’re doing this is simple. It’s because A, we can, we have the ability. And B, it’s because it’s the right thing to do,” the safety engineer said.
-
Watch how Tesla’s crash lab works in the video below.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
SpaceX just picked up another $1.6 billion from the Pentagon, with the U.S. Space Force awarding two task orders worth $1.6 billion to fly 18 Falcon 9 missions from Vandenberg Space Force Base in California through the end of 2027. The launches will carry satellites for the Space Based Sensing and Targeting portfolio, a set of programs meant to help the military detect and track airborne threats and relay that information across forces in near real time.
The award falls under National Security Space Launch Phase 3 Lane 1, the Space Force’s faster, commercial style procurement track for missions that do not require the military’s most demanding certification process. It is also the largest single order publicly disclosed under that program so far, and the first task order issued since the Space Force nearly tripled Lane 1’s contract ceiling from $5.6 billion to $17 billion on July 17.
SpaceX to become America’s Military data backbone for missiles, drones, and warfighters
Eric Zarybnisky, the Space Force’s acting portfolio acquisition executive for space access, said the entire process, from identifying the requirement to signing the contract, took about two months, including a month set aside for companies to prepare proposals.
SpaceX is not just launching these satellites. It already holds the contracts to build two of the programs within the same portfolio, $4.16 billion for the Space Based Airborne Moving Target Indicator system and $2.29 billion for the Space Data Network Backbone, which Teslarati covered in May. That means SpaceX is now responsible for both building key pieces of the military’s next generation sensing network and getting them into orbit.
With this latest award, SpaceX’s Pentagon contract total for 2026 alone tops $8 billion, adding to a defense portfolio that already includes the Golden Dome missile defense software group SpaceX joined in April and a string of GPS launches it inherited after ULA’s Vulcan rocket ran into a booster anomaly, which we detailed in March.
Lane 1’s vendor pool technically includes seven companies: SpaceX, ULA, Blue Origin, Rocket Lab, Stoke Space, Impulse Space, and Relativity Space. In practice, SpaceX remains the only provider with the combination of launch cadence, flight proven Falcon 9 hardware, and West Coast infrastructure to support a campaign requiring roughly one Vandenberg launch a month for the next year and a half.
Some lawmakers have flagged the growing concentration of national security launches with one company as a risk worth watching. For now, the Space Force keeps backing SpaceX, with it being the company that shows up ready to launch.
Elon Musk has a crazy prediction about AI in two years
Tesla just built it 10 millionth car
