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Morgan Stanley posts optimistic Tesla FSD expectations after V12.3.6 experience
Morgan Stanley analyst Adam Jonas recently shared some thoughts after personally experiencing FSD (Supervised) V12.3.6. Jonas seemed quite impressed with the advanced driver-assist system, noting that it becomes cautious or assertive when it should be. He also noted that the improvements from FSD (Supervised) V12.3.4 to V12.3.6 are quite evident.
Jonas noted that the version of FSD that he recently experienced included minor tweaks, though a more substantial improvement to the system is expected with the FSD (Supervised) V12.4 release. With version V12.4, most training compute limitations have been eliminated, the analyst noted.
The Morgan Stanley analyst described a situation where cars could learn by learning instead of labeling.
Morgan Stanley's Adam Jonas shares his Tesla FSD (Supervised) v12.3.6 experience. His initial impressions:
• Cautious when it needs to be
• Assertive when it should be
• Seems to demonstrate a heightened sensitivity to pedestrians or things associated with pedestrians (i.e.… pic.twitter.com/dZtVti3BdT— Sawyer Merritt (@SawyerMerritt) May 6, 2024
“Imagine you tell your robot to: ‘Pick up the red pen on the floor and balance it on one end on the table.’ And the robot picks up the pen and balances it on the table. The command and resulting action is possible due to the robot understanding natural language, knowing what a red pen is, what a table is and what it was asked to do with it.
“Even if it never did this precise combination of movements before, it understood what was asked of it by observing and imitating permutations of such behaviors many, many times before – perhaps millions of times in reality and trillions of times in simulation. Even if it was never explicitly ‘told’ what a red pen was. It just figured it out,” Jonas wrote.
Interestingly enough, the Morgan Stanley analyst provided a notable estimate of the data that Tesla is currently collecting from its fleet. As per the analyst, Tesla has about 5.5 million cars on the road today, and this number may grow to 25 million units by FY2030 and over 50 million units by 2035.
Jonas also noted that Tesla’s vehicle fleet should be driving a collective 100 billion miles per year run rate by late 2025. Such a number translates to 11.6 million miles an hour or 3,200 miles per second, or almost 2 billion collective miles per week. Provided that FSD’s take rate does increase, a significant number of these miles could be driven without human input.
For context, Tesla noted during its Q1 2024 Update Letter that its FSD fleet has traveled a cumulative distance of 1.3 billion miles. Musk also noted in his Master Plan Part Deux in July 2016 that worldwide regulatory approval for autonomous cars may be possible with 6 billion cumulative miles.
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Tesla rolls out new Supercharging safety feature in the U.S.
Tesla has rolled out a new Supercharging safety feature in the United States, one that will answer concerns that some owners may have if they need to leave in a pinch.
It is also a suitable alternative for non-Tesla chargers, like third-party options that feature J1772 or CCS to NACS adapters.
The feature has been available in Europe for some time, but it is now rolling out to Model 3 and Model Y owners in the U.S.
With Software Update 2026.2.3, Tesla is launching the Unlatching Charge Cable function, which will now utilize the left rear door handle to release the charging cable from the port. The release notes state:
“Charging can now be stopped and the charge cable released by pulling and holding the rear left door handle for three seconds, provided the vehicle is unlocked, and a recognized key is nearby. This is especially useful when the charge cable doesn’t have an unlatch button. You can still release the cable using the vehicle touchscreen or the Tesla app.”
The feature was first spotted by Not a Tesla App.
This is an especially nice feature for those who commonly charge at third-party locations that utilize plugs that are not NACS, which is the Tesla standard.
For example, after plugging into a J1772 charger, you will still be required to unlock the port through the touchscreen, which is a minor inconvenience, but an inconvenience nonetheless.
Additionally, it could be viewed as a safety feature, especially if you’re in need of unlocking the charger from your car in a pinch. Simply holding open the handle on the rear driver’s door will now unhatch the port from the car, allowing you to pull it out and place it back in its housing.
This feature is currently only available on the Model 3 and Model Y, so Model S, Model X, and Cybertruck owners will have to wait for a different solution to this particular feature.
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LG Energy Solution pursuing battery deal for Tesla Optimus, other humanoid robots: report
Optimus is expected to be one of Tesla’s most ambitious projects, with Elon Musk estimating that the humanoid robot could be the company’s most important product.
A recent report has suggested that LG Energy Solution is in discussions to supply batteries for Tesla’s Optimus humanoid robot.
Optimus is expected to be one of Tesla’s most ambitious projects, with Elon Musk estimating that the humanoid robot could be the company’s most important product.
Humanoid robot battery deals
LG Energy Solution shares jumped more than 11% on the 28th after a report from the Korea Economic Daily claimed that the company is pursuing battery supply and joint development agreements with several humanoid robot makers. These reportedly include Tesla, which is developing Optimus, as well as multiple Chinese robotics companies.
China is already home to several leading battery manufacturers, such as CATL and BYD, making the robot makers’ reported interest in LG Energy Solution quite interesting. Market participants interpreted the reported outreach as a signal that performance requirements for humanoid robots may favor battery chemistries developed by companies like LG.
LF Energy Solution vs rivals
According to the report, energy density is believed to be the primary reason humanoid robot developers are evaluating LG Energy Solution’s batteries. Unlike electric vehicles, humanoid robots have significantly less space available for battery packs while requiring substantial power to operate dozens of joint motors and onboard artificial intelligence processors.
LG Energy Solution’s ternary lithium batteries offer higher energy density compared with rivals’ lithium iron phosphate (LFP) batteries, which are widely used by Chinese EV manufacturers. That advantage could prove critical for humanoid robots, where runtime, weight, and compact packaging are key design constraints.
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Tesla receives approval for FSD Supervised tests in Sweden
Tesla confirmed that it has been granted permission to test FSD Supervised vehicles across Sweden in a press release.
Tesla has received regulatory approval to begin tests of its Full Self-Driving Supervised system on public roads in Sweden, a notable step in the company’s efforts to secure FSD approval for the wider European market.
FSD Supervised testing in Sweden
Tesla confirmed that it has been granted permission to test FSD Supervised vehicles across Sweden following cooperation with national authorities and local municipalities. The approval covers the Swedish Transport Administration’s entire road network, as well as urban and highways in the Municipality of Nacka.
Tesla shared some insights into its recent FSD approvals in a press release. “The approval shows that cooperation between authorities, municipalities and businesses enables technological leaps and Nacka Municipality is the first to become part of the transport system of the future. The fact that the driving of the future is also being tested on Swedish roads is an important step in the development towards autonomy in real everyday traffic,” the company noted.
With approval secured for FSD tests, Tesla can now evaluate the system’s performance in diverse environments, including dense urban areas and high-speed roadways across Sweden, as noted in a report from Allt Om Elbil. Tesla highlighted that the continued development of advanced driver assistance systems is expected to pave the way for improved traffic safety, increased accessibility, and lower emissions, particularly in populated city centers.
Tesla FSD Supervised Europe rollout
FSD Supervised is already available to drivers in several global markets, including Australia, Canada, China, Mexico, New Zealand, and the United States. The system is capable of handling city and highway driving tasks such as steering, acceleration, braking, and lane changes, though it still requires drivers to supervise the vehicle’s operations.
Tesla has stated that FSD Supervised has accumulated extensive driving data from its existing markets. In Europe, however, deployment remains subject to regulatory approval, with Tesla currently awaiting clearance from relevant authorities.
The company reiterated that it expects to start rolling out FSD Supervised to European customers in early 2026, pending approvals. It would then be unsurprising if the company secures approvals for FSD tests in other European territories in the coming months.