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Hacked Tesla FSD Beta demo from Ukraine validates Elon Musk’s Autopilot vision

Credit: Doctor Elon/YouTube

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Tesla’s approach to full self-driving is different from that of autonomous “leaders” like Waymo and Cruise. Instead of relying on an army of sensors like LiDAR and high-definition maps, Tesla is practically betting its future on a vision + artificial intelligence approach. The idea is simple: if humans could effectively drive with their eyes and brain, then cars should also be able to navigate safely with a suite of cameras and a trained neural network. 

This approach has caused a lot of controversy and criticism against Tesla and its FSD strategy. A yearly report from Guidehouse Insights, for example, consistently ranks Tesla dead last among companies currently working on autonomous driving technologies. Yet despite this skepticism, it is difficult to deny that Tesla’s FSD approach has some serious backing from the world’s most brilliant minds in computing and artificial intelligence. 

That being said, if a recent video from Ukraine is any indication, it would appear that Tesla’s approach to autonomy may indeed be the right way to go. The video, which was posted on the Doctor Elon YouTube channel, featured what appeared to be a hacked version of FSD Beta 8.2 running in the center of Kyiv, Ukraine. The users of the vehicle were even able to access the “developer” version of the FSD Beta, which was used in the city’s rather busy streets. 

While FSD Beta 8.2 was definitely not perfect when it ran on Kyiv’s roads, the advanced driver-assist system’s performance was not too bad at all. Despite obviously having no pre-mapped data of the city, FSD Beta 8.2 was able to navigate Kyiv’s roads using only its cameras, radar, and navigation maps. Had the testers used a more updated iteration of FSD Beta, such as the pure vision builds that were rolled out with V9, the advanced driver-assist system may have performed even better. 

What the hacked FSD Beta drive in Kyiv shows, ultimately, is that Tesla’s approach to autonomy may have some merit. Granted, developing an autonomous driving system that uses only vision and artificial intelligence is a Herculean task, but if the company proves successful, then it could likely usher in the age of fully self-driving cars single-handedly. Even a fully-equipped Robotaxi from Waymo or Cruise, after all, would likely perform nowhere close to FSD Beta 8.2 if it were dropped into and tasked to navigate the streets of Ukraine.

Watch FSD Beta navigate through Kyiv’s roads in the video below. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla (TSLA) Q4 and FY 2025 earnings results

Tesla’s Q4 and FY 2025 earnings come on the heels of a quarter where the company produced over 434,000 vehicles, delivered over 418,000 vehicles, and deployed 14.2 GWh of energy storage products.

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Credit: Tesla China

Tesla (NASDAQ:TSLA) has released its Q4 and FY 2025 earnings results in an update letter. The document was posted on the electric vehicle maker’s official Investor Relations website after markets closed today, January 28, 2025.

Tesla’s Q4 and FY 2025 earnings come on the heels of a quarter where the company produced over 434,000 vehicles, delivered over 418,000 vehicles, and deployed 14.2 GWh of energy storage products.

For the Full Year 2025, Tesla produced 1,654,667 and delivered 1,636,129 vehicles. The company also deployed a total of 46.7 GWh worth of energy storage products.

Tesla’s Q4 and FY 2025 results

As could be seen in Tesla’s Q3 2025 Update Letter, the company posted GAAP EPS of $0.24 and non-GAAP EPS of $0.50 per share. Tesla also posted total revenues of $24.901 billion. GAAP net income is also listed at $840 million.

Analyst consensus has Tesla earnings per share falling 38% to $0.45 with revenue declining 4% to $24.74 billion, as per estimates from FactSet. In comparison, the consensus compiled by Tesla last week forecasted $0.44 per share on sales totaling $24.49 billion.

Below is Tesla’s Q4 and FY 2025 update letter.










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Tesla rolls out new Supercharging safety feature in the U.S.

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tesla's nacs charging connector
Credit: Tesla

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.

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Credit: Tesla Optimus/X

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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