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Tesla owner scores Elon Musk’s “V1” Boring Brick to perform drop test comparison
A Tesla owner recently acquired a rare “V1” sample of Elon Musk’s Boring Company brick for a durability test. Dan Markham from YouTube’s What’s Inside channel was able to get his hands on two Boring bricks and had some fun performing a drop test to compare its durability with potential competitors in the market.
Markham managed to get a hold of two Boring Bricks from the first batch of 500 “V1” pieces, thanks to a Boring Co. employee. The Tesla and SpaceX CEO has talked about inexpensive bricks made out of tunneling rock since 2018, and in true Elon Musk fashion, he called them Boring Bricks. Musk had stated that the Boring Bricks would cost 10¢ a piece, significantly lower than bricks on the market.
Besides the Boring Brick’s material and affordable price, another intriguing feature about it would be its durability. When Musk introduced the Boring Brick, he emphasized its strength. “[Boring Bricks are] Rated for California seismic loads, so super strong, but bored in the middle, like an aircraft wing spar, so not heavy,” Musk said later in a tweet.
Markham wanted to put Musk’s words to the test and compared his Boring Bricks with four traditional alternatives. He bought an average red clay brick for 53¢, a used clay brick for 58¢, a cinder block brick reinforced with steel for 71¢, and a normal cinder block brick for 43¢.
For his durability test, Markham dropped each brick from different heights until they broke into pieces. For the first test, he dropped them from chest-level and the Boring Brick passed with no problem. The 71¢ cinder block brick reinforced with steel passed without any scratches, and the 53¢ red clay brick survived the first test as well with a slight chip in the corner.
Sadly, the 58¢ clay brick and 43¢ cinder block were eliminated in the first round after both broke in two.
For the second test, Markem went up a flight of stairs and dropped the bricks from about 10 feet above the ground. The remaining bricks all passed the second round relatively unscathed, except for a small chip on the corner of the red clay brick and a tiny one on the Boring Brick.
In the third test, the Boring Brick proved its durability once more, surviving a fall from about 12-14 feet above the ground with just another slight chip. By this time, the only other brick that survived Markham’s durability test was the cinder block brick reinforced with steel, which cost over 7x the price of the Boring Brick.
The What’s Inside? host’s test was undoubtedly fun and did demonstrate the durability of the Boring Brick at some level. However, the durability of bricks is usually tested through compression and there are other factors to consider when judging a brick’s quality.
Nevertheless, Markham’s video managed to show that the Boring Brick is a viable product and could be another potentially revolutionary idea from Musk. At its price point, Boring Bricks could change the construction and housing market. Markham paid a little extra for his Boring Bricks but didn’t seem to mind since they were commemorative pieces. He paid $200 for each Boring Brick and gave one of them to a friend.
Elon described Boring Bricks as “lifesize LEGO-like interlocking bricks” in the past. Based on the bricks that Markham acquired, it appears that Musk is sticking to his plan. The Boring Brick had two holes in the center reminiscent of Lego bricks, with “The Boring Company” written in the middle. These should allow for easy buildouts for construction projects, as the bricks are optimized to be laid with relatively little effort.
Watch Dan Markham’s Boring Brick durability test in the video below.
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
