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Tesla’s Elon Musk will be hosting an AI hackathon party at his house
Elon Musk announced that Tesla will be hosting an AI hackathon, together with the company’s artificial intelligence and autopilot team, at his house in four weeks’ time.
The Tesla chief announced his plans via Twitter on Sunday. Despite impressive numbers revealed during the Q4 2019 earnings call and update, Musk and his Tesla team are not resting on their laurels and remain focused on pursuing advancements to its neural network, which is in the center of Tesla’s goal of achieving a full self-driving vehicle.
During the recent Q4 earnings call, an investor asked the Tesla chief executive for updates on FSD.
“I think that’s looking like maybe it’s going to be couple of months from now. And what isn’t obvious regarding Autopilot and Full Self-Driving is just how much work has been going into improving the foundational elements of autonomy,” Musk said.
Tesla will hold a super fun AI party/hackathon at my house with the Tesla AI/autopilot team in about four weeks. Invitations going out soon.
— Elon Musk (@elonmusk) February 2, 2020
Musk continued to explain how the Tesla team is making great strides in labeling efficiency.
“…in terms of labeling, labeling with video in all eight cameras simultaneously. This is a really, I mean in terms of labeling efficiency, arguably like a three order of magnitude improvement in labeling efficiency. For those who know about this, it’s extremely fundamental, so that’s really great progress on that,” Musk said.
Tesla vehicles rely on a custom chip that boasts of 144 tera operations per second (TOPS) for its self-driving capabilities. This two-chip FSD computer works in tandem with LPDDR4 RAM modules that come with a peak bandwidth of 68 GB/s. There are also two neural network accelerators that work in tandem to process as much as 1TB of data per second. This setup is roughly three times faster, about 80%, and about 1.25 times more power-efficient than the previous hardware. It is also able to process about 2,300 frames per second compared to the 110 frames per second processed by Tesla’s Hardware 2.5.
In his series of tweets on Sunday, Musk also mentioned Tesla’s “Dojo” supercomputer, which is speculated to be capable of processing vast amounts of data to train the company’s neural network. Through active learning, Tesla curates the most useful video clips from its fleet of connected cars and train the neural net to recognize things that it did not previously know.
“Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real-time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep,” Tesla wrote on the Autopilot AI section of its website.
“At Tesla, using AI to solve self-driving isn’t just icing on the cake, it the cake” – @lexfridman
Join AI at Tesla! It reports directly to me & we meet/email/text almost every day. My actions, not just words, show how critically I view (benign) AI.https://t.co/iF97zvYZRz
— Elon Musk (@elonmusk) February 2, 2020
The last major software update rolled out by Tesla allowed its vehicles to visualize more things while driving in inner-city streets. Teslas now render stoplights, stop signs, traffic cones, traffic pylons, and more.
With the upcoming AI hackathon, Tesla will get together with developers to seek out more efficient algorithms and overall improvements to the core logic for its Full Self-Driving suite through a time-boxed event. With fresh eyes working with the existing AI and autopilot team of Tesla, the carmaker may be able to accelerate the timeline and rollout of its full-featured Full Self-Driving suite sooner.
Further advances in FSD and its Autopilot feature will widen the gap between Tesla and its competitors and solidify the company’s position as one of the leading automakers in the world. These improvements will also take Tesla a step closer to the possibility of Robotaxis that they can deploy at scale.
The hackathon will also allow Tesla to fish for new AI talents to join the team. On Sunday, Musk also mentioned that the electric carmaker is looking for world-class chip designers and C++/C engineers for vehicle control and other functions of Tesla vehicles.
Musk reiterated that educational attainment is not important when joining Tesla but rather a clear understanding of how AI and neural networks function and the ability to build useful applications using that knowledge.
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Tesla breaks Norway’s all-time annual sales record with one month to spare
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Tesla shattered Norway’s decade-old annual sales record this month, overtaking Volkswagen’s long-standing milestone with over one month still left in the year. Backed by surging demand ahead of Norway’s upcoming VAT changes, Tesla has already registered 26,666 vehicles year-to-date, surpassing Volkswagen’s 2016 record of 26,572 units.
With November alone delivering 4,260 new registrations month-to-date, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Model Y drives historic surge in Norway
Tesla’s impressive momentum has been led overwhelmingly by the Model Y, which accounted for 21,517 of Norway’s registrations this year, as noted in a CarUp report, citing data from Elbil Statistik. The Model 3 followed with 5,087 units, while the Model S and Model X contributed 30 and 19 vehicles, respectively. Even the parallel-imported Cybertruck made the charts with 13 registrations.
Demand intensified sharply through autumn as Norwegian buyers rushed to secure deliveries before the country’s VAT changes take effect in January. The new regulation is expected to add roughly NOK 50,000 to the price of a Model Y, prompting a wave of early purchases that helped lift Tesla beyond the previous all-time record well before year-end.
With December still ahead, Tesla is positioned to extend its historic lead further. Needless to say, it appears that Norway will prove to be one of Tesla’s strongest markets in Europe.
FSD could be a notable demand driver in 2026
What’s especially interesting about Tesla’s feat in Norway is that the company’s biggest selling point today, Full Self-Driving (Supervised), is not yet available there. Tesla, however, recently noted in a post on X that the Dutch regulator RDW has reportedly committed to issuing a Netherlands national approval for FSD (Supervised) in February 2026.
The RDW posted a response to Tesla’s post, clarifying the February 2026 target but stating that FSD’s approval is not assured yet. “The RDW has drawn up a schedule with Tesla in which Tesla is expected to be able to demonstrate that FSD Supervised meets the requirements in February 2026. RDW and Tesla know what efforts need to be made to make a decision on this in February. Whether the schedule will be met remains to be seen in the coming period,” the RDW wrote in a post on its official wesbite.
If FSD (Supervised) does get approved next year, Tesla’s vehicles could gain a notable advantage over competitors, as they would be the only vehicles on the market capable of driving themselves on both inner-city streets and highways with practically no driver input.
Tesla Full Self-Driving v14.2 rolled out late last week to Early Access Program (EAP) members, but its best feature is not what you think.
While Tesla has done a great job of refining the performance of the Full Self-Driving suite with the latest update, there are some other interesting additions, including one that many owners have requested for some time.
Upon the release of v14.2, many owners recognized the Blue Dot next to the Autopilot tab in Vehicle Settings, notifying them of a new feature. What was included as a new feature in the new update was a Full Self-Driving stats feature, which now will show you how many miles you’ve traveled in total, and how many of those miles were driven using FSD:
🚨 The coolest non-driving change of Tesla Full Self-Driving v14.2 pic.twitter.com/HOJcFaV2Ny
— TESLARATI (@Teslarati) November 21, 2025
The feature seems to be more of a bragging rights thing than anything, but it will also give drivers a good idea of how many miles they are using Full Self-Driving for. Those who use telematics-based insurance services will also be able to run experiments of their own, and could determine whether their premiums are impacted by the use of Full Self-Driving, and whether it is more advantageous to use over manual driving.
Tesla rolled out numerous other improvements with Tesla Full Self-Driving v14.2, most notably, the company seems to have resolved previous complaints about brake stabbing and hesitation. This was a major complaint in v14.1, but Tesla has seemed to resolve it with this newest branch of the FSD suite.
There were also improvements in overall operation, and it was notably smoother than past versions. Speed Profiles are seemingly refined as well, as they seem much more fixed on how fast they will travel and how aggressive they will be with things like passing cars on freeways and lane changes.
In future updates, Tesla plans to add Parking Spot selection, along with overall operational improvements. However, CEO Elon Musk recently said that the next branch, Full Self-Driving v14.3, will be where the “final piece of the puzzle is placed.” Tesla believes it is close to solving autonomy, so v14.3 could be a major jump forward, but it remains to be seen.
Tesla has adjusted the functionality of a crucial climate feature as Winter weather has started to arrive throughout some parts of the United States. The new feature was highly requested by owners.
Tesla has a Cabin Overheat Protection feature that helps keep the temperature regulated if it reaches a certain threshold. Inversely, it can be used in cold weather as well, which will automatically warm the cabin if it sinks to a temperature that is too low for the owner’s comfort.
This is a great way to keep the cabin either warmed up just enough or cooled down just enough so that it never gets too hot or too cold. Extreme temperatures could damage certain parts of the vehicle or damage personal belongings that are kept inside the car.
Overheat protection is a great thing to have in hot climates like Arizona or Texas, especially with the Premium trims of the Model 3 and Model Y, which feature a glass roof.
Many owners appreciate the feature, but they argue that using it at home will utilize too much energy, especially during extreme temperatures. For a while, many Tesla fans have requested an option to disable this feature when the car is parked at home, which the company recently added, according to Not a Tesla App.
The feature is part of Software Version 2025.44.3, and the release notes state:
“You can now choose Exclude Home when Cabin Overheat Protection or No A/C is enabled.”
Tesla has been great at listening to what owners want with new features, and this is one that will reserve some charge and prevent unnecessary utilization of available power, especially as the car is parked at home. If owners want to condition the cabin or get the car ready for operation with a comfortable interior, they can utilize the Tesla app to adjust the climate.
Tesla breaks Norway’s all-time annual sales record with one month to spare
Tesla Full Self-Driving v14.2’s best new feature is not what you think
