News
Tesla’s Bitcoin investment has been a rollercoaster ride of gains and losses
One of the ultimate joyrides as a human is riding a rollercoaster. The anticipation of sitting in the train, waiting for dispatch as you slowly climb up the first gigantic hill, all for the anticipation to break. Suddenly, you’re falling down a 200+ foot drop, awaiting the next rise, which will unequivocally result in another slight drop. A short time later, you’re right back to where you started, in a pavilion, waiting to get off of the ride.
Tesla’s Bitcoin investment has been a comparable scenario described above: a meteoric climb, succeeded by a sharp drop, followed by tiny peaks and valleys. Ultimately, Tesla is right back to where it started.
In the company’s 10-Q filing with the SEC earlier today, the electric car company based out of Northern California detailed its tumultuous experience with Bitcoin, the cryptocurrency that could likely be attributed to most of the ranting and raving regarding digital assets. It allowed anyone who can access the document a peek into what kind of swings Tesla has been experiencing through its investment into Bitcoin, which was detailed in the 10-K filing after Q4 2020 results.
Climbing up the first hill
Tesla’s $1.5 billion investment started in the gate and quickly took off up the first hill of gains like a launch rollercoaster. The first hill lasted quite some time, as Bitcoin eclipsed $64,000 and put Tesla up a substantial sum. It is not known how many BTC Tesla received when it initially invested the $1.5 billion, but it is estimated that the price of the crypto was between $29,333 and $37,020. This would put Tesla’s potential holdings at between 37,020 to 51,137 BTC.
It was estimated that Tesla made close to or more than $1 billion as Bitcoin continued to rise in value through the early portion of 2021. According to an April report from Teslarati, “Even if Tesla only acquired the minimal amount of 37,020 Bitcoin in January, the company’s $1.5 billion investment would still be worth $2.3 billion today, hinting at a healthy profit of $800 million,” and that’s figure originates from the possibility of their lowest BTC investment. Tesla said it realized gains of $128 million from its digital assets in March 2021 alone.
After reaching all-time highs of over $64,829, Bitcoin started to tumble, bringing Tesla’s rollercoaster ride down its first and largest hill.
The Big Drop
The big drop occurred as Bitcoin began to slide in mid-May. From May 8th to the 22nd, Bitcoin slid from $58,788 to under $37,500. At one point, BTC even struck the $30,000 range before recovering to $38,000.
The slide was met with uncertainty, worry, and anxiety by many investors. But Musk solidified the fact that Tesla would keep its “diamond hands” and continue holding BTC, despite the volatility experienced during its epic fall.
The company wrote:
“During the three and six months ended June 30, 2021, we recorded $23 million and $50 million, respectively, of impairment losses on such digital assets.”
The Ride: Back to the Beginning
Through the tumultuous ride of the BTC rollercoaster through the first half of 2021, Tesla rode the hills, the turns, and loops and ended up right back where it started (basically). As of June 30, Tesla says the fair market value of such digital assets “was $1.47 billion.” Additionally, the company said that “as of June 30, 2021, the carrying value of our digital assets held was $1.31 billion, which reflects cumulative impairments of $50 million.”
It has been exciting, and it has been uncertain, but Tesla, like the rest of investors, is just along for the ride. Bitcoin’s volatility over the past few months may not have been expected by the diehard cryptocurrency supporters that have vocally supported it since its early days. Still, like anything else, it is an investment. Tesla is banking on a wider adoption of crypto in the coming months and years, something it has dabbled with in the past.
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
