Tesla has the makings of a controversial stock. It’s a company with products that are loved by its users and hated by its skeptics, and it’s led by a man that’s both admired by his supporters and loathed by his critics. It was then no surprise when Tesla became one of the most-shorted companies in the market. But amidst Tesla’s rise last year and the release of its Q1 2021 vehicle production and delivery report, it appears that TSLA bears, or at least a good number of them, are starting to go extinct.
A good overview of how a company is perceived could be found in the overall stance of analysts covering the stock. Among the 41 analysts covering TSLA today, 15 have a “Buy” rating, 14 maintain a “Hold” rating, and 12 have a “Sell” rating, as per data from Bloomberg. This suggests that Tesla remains quite polarizing, as Buy ratings typically outnumber Sell ratings 10-to-1 for stocks in the Dow Jones Industrial Average.
Tesla (TSLA) sets new records with with 184k vehicle deliveries in Q1 2021
The same is true for TSLA’s price targets. Tesla’s bull-bear spread between its highest price target ($1,036) and its lowest ($135) stands at $901, or about 133% of the current $661.75 stock price. In the Dow Jones Industrial Average, the average bull-bear spread for stocks is less than 50%. While Tesla has maintained its polarizing nature in the market, however, there is one metric that suggests that a TSLA bear exodus is taking place.
There was a time not too long ago when Tesla’s short-interest ratio was about 25%, which meant that one in every four shares was borrowed and sold by investors betting on the company to fail. Such a short-interest ratio was insane, as the average for stocks in the S&P 500 is just about 3%. Today, this ratio stands at just about 6%, which is still higher than average but significantly lower than its figures three years ago.
As noted in a Barron’s report, there is an important mitigating factor in Tesla’s short-interest ratio, in the form of hundreds of millions in convertible bonds outstanding, most of which were issued long ago and are capable of being converted into TSLA stock at around $65 per share. Considering that Tesla stock is worth more than 10x that amount today, the convertible bonds have rallied over 500% over the past year.

While this is great for convertible bond holders, numerous bond investors are actually not interested in Tesla stock. Instead, some are convertible arbitrage investors, who buy convertible bonds and short the underlying stock. This way, the arbitrage trader is able to lock in a notable bond yield. S3 Partners managing director of predictive analytics Ihor Dusaniwsky has noted that the bonds are “mostly held by hedge funds.” He also estimates that about half of Tesla’s current short interest might be part of a convertible arbitrage strategy.
If the S3 Partners’ executive’s estimates are accurate, it would suggest that about 22 million Tesla shares are sold short, or about 2.9% of TSLA stock. This number is substantial, but it is small compared to the 200 million TSLA shares sold short back in 2019. This does not mean to say that Tesla bears have entirely given up, of course, as some will likely remain with their short position for a long time to come. However, the declining number of TSLA shares that are sold short does suggest that bears, or at least a good number of them, may be throwing in the towel.
Former Goldman Sachs Asset Management CIO Gary Black has noted that the declining number of TSLA bears may be due to the fact that some critical bearish arguments against Tesla are being soundly debunked. One of these is the notion that Tesla’s share of the EV market will get drastically smaller as soon as other automakers enter the electric car segment. Despite the noise by proponents of this thesis, the opposite has been true, as more and more car buyers tend to leave gas-powered vehicles–not other electric cars like Tesla–when they purchase EVs made by other automakers.
Disclaimer: I am long TSLA
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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.
News
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.
News
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.