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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.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
