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This Tesla analyst just destroyed the Consumer Reports self-driving trick test
Tesla analyst Pierre Ferragu of New Street Research is not impressed with Consumer Reports’ test that apparently “tricked” a Model Y into driving itself without anyone in the passenger seat.
Earlier this week, Consumer Reports claims that it made a Model Y drive itself by “tricking” it with a series of weights, contraptions, and loopholes that everyday drivers would never use. The experiment concluded that Tesla’s self-driving systems could operate without a driver in the driver’s seat, but many weren’t impressed with the study’s findings.
Now, Ferragu is commenting on the CR experiment, and he destroyed the testing process along with the overall results of the test.
“Consumer Report showed you can trick à tesla to self-drive without a driver. This car is dangerous! Stop selling it! I just showed you can drive an F150 with windows open, a machine gun in your hands, and shoot around random bullets. This car is dangerous! Stop selling it,” Ferragu said in a satirical Twitter post.
Consumer Report showed you can trick à tesla to self drive without a driver. This car is dangerous! Stop selling it! I just showed you can drive an F150 with windows open, a machine gun in your hands, and shoot around random bullets. This car is dangerous! Stop selling it!
— Pierre Ferragu (@p_ferragu) April 24, 2021
While CR was attempting to prove that Tesla’s Autopilot and Full-Self Driving systems could operate without anyone specifically monitoring the wheel, the experiment was unrealistic in terms of what everyday people would do. It seems that if someone wanted their car to drive itself, they could make it do it, but there would be a series of loopholes that the owner would have to jump through to make this happen. Ultimately, any car could be subjected to a test where it makes its operation look completely unfavorable. Anything on Earth can be outsmarted, but the people doing it must know that they’re attempting to do something dangerous at their own risk. It is tough to see how Tesla could be blamed or held liable for owners “tricking” the FSD sensors, which monitor the driver’s hands on the steering wheel, along with the weight in the seat.
Tesla has never indicated that its cars can drive themselves, and Level 5 autonomy, which would make a car operate without any interventions from the driver, has been discussed by Elon Musk in the past. Musk said in late 2020 that he was “extremely confident of achieving full autonomy and releasing it to the Tesla customer base next year.” He has not commented on Tesla’s potential capabilities since then.
Ferragu, a notable Tesla bull, is one of the most realistic analysts on Wall Street when it comes to the carmaker. While he is a Tesla owner, he is also a valuable critic of the company. He is candid with his synopsis of its outlook when adjusting price targets or releasing investor notes and has dropped his price target when the automaker isn’t performing at its best. With that being said, Ferragu has experienced Autopilot for himself in his own car, and in February, he talked about its impressive performance on a 70-mile highway drive.
Did autopilot get a material update recently? I just drove 70 miles of complex highway. Zero touch, I was blown away. For the first time I thought the car behaved like a human in slip roads, densifying traffic, changing lanes, and most importantly when facing unclear situations.
— Pierre Ferragu (@p_ferragu) February 12, 2021
When it comes down to it, drivers ultimately hold the responsibility of using Autopilot and Full Self-Driving systems. Even if the system was “tricked” by Consumer Reports, their testing process was questionable, and it is likely that very few people would be willing to let their cars operate through a loophole, especially when Tesla indicates that drivers hold the ultimate responsibility of paying attention to the road and its conditions while operating their all-electric motor vehicle.
Disclosure: Joey Klender is a TSLA Shareholder.
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
