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Tesla’s Elon Musk will be hosting an AI hackathon party at his house

Tesla Autopilot (Source: Elon Musk | Twitter)

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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.

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.

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“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.

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.

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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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A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok

Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk says he’s willing to help Apple overhaul Siri by integrating xAI’s Grok 4.1, igniting widespread excitement and speculations about a potential collaboration between the two tech giants. 

Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.

Musk open to an Apple collaboration

Musk’s willingness to team up with Apple surfaced after an X user suggested replacing Siri with Grok 4.1 to modernize the AI assistant. The original post criticized Siri’s limitations and urged Apple to adopt a more advanced AI system. “It’s time for Apple to team up with xAI and actually fix Siri. Replace that outdated, painfully dumb assistant with Grok 4.1. Siri deserves to be Superintelligent,” the X user wrote.

Musk quoted the post, responding with, “I’m down.” Musk’s comment quickly attracted a lot of attention among X’s users, many of whom noted that a Grok update to Siri would be appreciated because Apple’s AI assistant has legitimately become terrible in recent years. Others also noted that Grok, together with Apple’s potential integration of Starlink connectivity, would make iPhones even more compelling. 

Grok promises major Siri upgrades

The enthusiasm stems largely from Grok 4.1’s technical strengths, which include stronger reasoning and improved creative output. xAI also designed the model to reduce hallucinations, as noted in a Reality Tea report. Supporters believe these improvements could address Apple’s reported challenges developing its own advanced AI systems, giving Siri the upgrade many users have waited years for.

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Reactions ranged from humorous to hopeful, with some users joking that Siri would finally “wake up with a personality” if paired with Grok. Siri, after all, was a trailblazer in voice assistants, but it is currently dominated by rivals in terms of features and capabilities. Grok could change that, provided that Apple is willing to collaborate with Elon Musk’s xAI.

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Tesla’s top-rated Supercharger Network becomes Stellantis’ new key EV asset

The rollout begins in North America early next year before expanding to Japan and South Korea in 2027.

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Credit: Tesla

Stellantis will adopt Tesla’s North American Charging System (NACS) across select battery-electric vehicles starting in 2026, giving customers access to more than 28,000 Tesla Superchargers across five countries. 

The rollout begins in North America early next year before expanding to Japan and South Korea in 2027, significantly boosting public fast-charging access for Jeep, Dodge, and other Stellantis brands. The move marks one of Stellantis’ largest infrastructure expansions to date.

Stellantis unlocks NACS access

Beginning in early 2026, Stellantis BEVs, including models like the Jeep Wagoneer S and Dodge Charger Daytona, will gain access to Tesla’s Supercharger network across North America. The integration will extend to Japan and South Korea in 2027, with the 2026 Jeep Recon and additional next-generation BEVs joining the list as compatibility expands. Stellantis stated that details on adapters and network onboarding for current models will be released closer to launch, as noted in a press release.

The company emphasizes that adopting NACS aligns with a broader strategy to give customers greater freedom of choice when charging, especially as infrastructure availability becomes a deciding factor for EV buyers. With access to thousands of high-speed stations, Stellantis aims to reduce range anxiety and improve long-distance travel convenience across its global portfolio.

Tesla Supercharger network proves its value

Stellantis’ move also comes as Tesla’s Supercharger system continues to earn top rankings for reliability and user experience. In the 2025 Zapmap survey, drawn from nearly 4,000 BEV drivers across the UK, Tesla Superchargers were named the Best Large EV Charging Network for the second year in a row. The study measured reliability, ease of use, and payment experience across the country’s public charging landscape.

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Tesla’s UK network now includes 1,115 open Supercharger devices at 97 public locations, representing roughly 54% of its total footprint and marking a 40% increase in public availability since late 2024. Zapmap highlighted the Supercharger network’s consistently lower pricing compared to other rapid and ultra-rapid providers, alongside its strong uptime and streamlined user experience. These performance metrics further reinforce the value of Stellantis’ decision to integrate NACS across major markets.

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Tesla FSD and Robotaxis are making people aware how bad human drivers are

These observations really show that Tesla’s focus on autonomy would result in safer roads for everyone.

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Credit: Tesla

Tesla FSD and the Robotaxi network are becoming so good in their self-driving performance, they are starting to highlight just how bad humans really are at driving. 

This could be seen in several observations from the electric vehicle community.

Robotaxis are better than Uber, actually

Tesla’s Robotaxi service is only available in Austin and the Bay Area for now, but those who have used the service have generally been appreciative of its capabilities and performance. Some Robotaxi customers have observed that the service is simply so much more affordable than Uber, and its driving is actually really good.

One veteran Tesla owner, @BLKMDL3, recently noted that the Robotaxi service has become better than Uber simply because FSD now drives better than some human drivers.  Apart from the fact that Robotaxis allow riders to easily sync their phones to the rear display, the vehicles generally provide a significantly more comfortable ride than their manually-driven counterparts from Uber.

FSD is changing the narrative, one ride at a time

It appears that FSD V14 really is something special. The update has received wide acclaim from users since it was released, and the positive reactions are still coming. This was highlighted in a recent post from Tesla owner Travis Nicolette, who shared a recent experience with FSD. As per the Tesla owner, he was quite surprised as his car was able to accomplish a U-turn in a way that exceeded human drivers.

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Yet another example of FSD’s smooth and safe driving was showcased in a recent video, which showed a safety monitor of a Bay Area Robotaxi falling asleep in the driver’s seat. In any other car, a driver falling asleep at the wheel could easily result in a grave accident, but thanks to FSD, both the safety monitor and the passengers remained safe.

These observations, if any, really show that Tesla’s focus on autonomy would result in safer roads for everyone. As per the IIHS, there were 40,901 deaths from motor vehicle crashes in the United States in 2023. The NHTSA also estimated that in 2017, 91,000 police-reported crashes involved drowsy drivers. These crashes led to an estimated 50,000 people injured and 800 deaths. FSD could lower all these tragic statistics by a notable margin.

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