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Tesla is bringing a machine gun to a knife fight using an ‘AK-47 disguised as a butter knife’
Just recently, Tesla received what could very well be one of its most bullish takes from Wall Street to date, with Canaccord Genuity analyst Jed Dorsheimer acknowledging the potential of the company’s battery business, among other things. During a segment at CNBC’s The Squawk, Dorsheimer noted that Tesla’s primary edge lies in the fact that it simply tackles problems in a way that is fundamentally different from the norm.
And this, according to the analyst, is a crucial advantage—one that could help the EV maker keep its lead in the electric car sector. “Tesla is bringing a machine gun to a knife fight,” Dorsheimer noted.
In a lot of ways, Dorsheimer’s statements ring true. CEO Elon Musk has noted that Tesla should be seen as a chain of about a dozen startups that are each working towards a specific goal. As Musk said, many of the “startups” under Tesla’s umbrella actually have little to no correlation with traditional automotive companies. These include the company’s energy business, which the CEO predicts would comprise a large portion of Tesla in the future.
Despite this, few have looked at Tesla with such a lens. A look at the coverage of Tesla in the mainstream media over the years would show that numerous traditional auto analysts have been wrong about the stock, and even big bulls like Cathie Wood of ARK Invest do not typically cover Tesla’s potential in segments such as battery storage and residential solar. And this, at least for many of Tesla’s critics, has proven to be a costly misstep, as evidenced by TSLA shorts’ $38 billion loss last year.
A group that may very well have acknowledged Tesla’s bigger picture could be retail investors, many of whom are not investing experts. Instead, they are category experts, mastering the unique niche that Tesla was carving for itself. Partly thanks to the emergence of such a group, Tesla’s mid-2019 to 2020 stock performance represented one of the largest transfers of wealth from Wall Street to Main Street investors to date.
What is rather remarkable is that Tesla’s potential is hiding in plain sight. Its electric car business may not produce vehicles at the same volume as Toyota for now, but its numbers are growing massively every year. It only has a couple of functioning car factories today, but both are pushing out vehicles with frightening efficiency. Tesla’s battery storage and solar business may be easy to overlook as well, but its potential is vast as it exists in a sector that’s ripe for disruption.
Inasmuch as all the pieces of the Tesla puzzle are visible, however, it is very easy for someone with a narrow-minded lens—perhaps one focused on month-over-month vehicle deliveries in specific territories—to miss the forest for the trees. And in a way, this is partly due to Tesla’s strategy itself, which tends to keep things understated, despite Elon Musk’s Twitter habits.
From its vehicles to its battery storage systems, Tesla’s entire lineup is designed with simplicity in mind. This was something that Top Gear presenter Chris Harris mentioned back in 2019 when he went behind the wheel of the Model 3 Performance. Harris sharply criticized the Model 3 for its unassuming look, but he was blown away by its performance, which included the vehicle walking all over the best of ICE on the track. Summing up his thoughts, Harris noted that the Model 3 was an “AK-47 disguised as a butter knife.”
This still pretty much applies to Tesla’s current lineup of products. From the Semi to Full Self-Driving to Autobidder, most of Tesla’s creations are designed to usher in a paradigm shift in their respective segments. They just typically come in packages that are easily judged and just as easily miscalculated. Fortunately, and considering the growing community of people well-versed in Tesla’s efforts, the company’s efforts will likely not remain unacknowledged. After all, if Canaccord Genuity analyst Jed Dorsheimer’s recent statements are any indication, it appears that even Wall Street is starting to appreciate the forest a little bit more.
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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
