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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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Swedish unions consider police report over Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm.
Swedish labor unions are considering whether to file a police report related to a newly opened Tesla Megapack Supercharger near Stockholm, citing questions about how electricity is supplied to the site. The matter has also been referred to Sweden’s energy regulator.
Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm. Unlike traditional charging stations, the site is powered by an on-site Megapack battery rather than a direct grid connection. Typical grid connections for Tesla charging sites in Sweden have seen challenges for nearly two years due to union blockades.
Swedish labor union IF Metall has submitted a report to the Energy Market Inspectorate, asking the authority to assess whether electricity supplied to the battery system meets regulatory requirements, as noted in a report from Dagens Arbete (DA). The Tesla Megapack on the site is charged using electricity supplied by a local company, though the specific provider has not been publicly identified.
Peter Lydell, an ombudsman at IF Metall, issued a comment about the Tesla Megapack Supercharger. “The legislation states that only companies that engage in electricity trading may supply electricity to other parties. You may not supply electricity without a permit, then you are engaging in illegal electricity trading. That is why we have reported this… This is about a company that helps Tesla circumvent the conflict measures that exist. It is clear that it is troublesome and it can also have consequences,” Lydell said.
Police report under consideration
The Swedish Electricians’ Association has also examined the Tesla Megapack Supercharger and documented its power setup. As per materials submitted to the Energy Market Inspectorate, electrical cables were reportedly routed from a property located approximately 500 meters from the charging site.
Tomas Jansson, ombudsman and deputy head of negotiations at the Swedish Electricians’ Association, stated that the union was assessing whether to file a police report related to the Tesla Megapack Supercharger. He also confirmed that the electricians’ union was coordinating with IF Metall about the matter. “We have a close collaboration with IF Metall, and we are currently investigating this. We support IF Metall in their fight for fair conditions at Tesla,” Jansson said.
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Tesla HW4.5 spotted in new Model Y, triggers speculation
Owners taking delivery of recent Model Y builds have identified components labeled “AP45.”
Tesla’s Hardware 4.5 computer appears to have surfaced in newly delivered Model Y vehicles, prompting fresh speculation about an interim upgrade ahead of the company’s upcoming AI5 chip.
Owners taking delivery of recent Model Y builds have identified components labeled “AP45,” suggesting Tesla may have quietly started rolling out revised autonomy hardware.
Hardware 4.5 appears in new Model Y units
The potential Hardware 4.5 sighting was first reported by Model Y owner @Eric5un, who shared details of a Fremont-built 2026 Model Y AWD Premium delivered this January. As per the Model Y owner, the vehicle includes a new front camera housing and a 16-inch center display, along with an Autopilot computer labeled “AP45” and part number 2261336-02-A.
The Tesla owner later explained that he confirmed the part number by briefly pulling down the upper carpet liner below the Model Y’s glovebox. Other owners soon reported similar findings. One Model Y Performance owner noted that their December build also appeared to include Hardware 4.5, while another owner of an Austin-built Model Y Performance reported spotting the same “AP45” hardware.
These sightings suggest that Tesla may already be installing revised FSD computers in its new Model Y batches, despite the company not yet making any formal announcements about Hardware 4.5.
What Hardware 4.5 could represent
Clues about Hardware 4.5 have surfaced previously in Tesla’s Electronic Parts Catalog. As reported by NotATeslaApp, the catalog has listed a component described as “CAR COMPUTER – LEFT HAND DRIVE – PROVISIONED – HARDWARE 4.5.” The component, which features the part number 2261336-S2-A, is priced at $2,300.00.
Longtime Tesla hacker @greentheonly has noted that Tesla software has contained references to a possible three-SoC architecture for some time. Previous generations of Tesla’s FSD computer, including Hardware 3 and Hardware 4, use a dual-SoC design for redundancy. A three-SoC layout could allow for higher inference throughput and improved fault tolerance.
Such an architecture could also serve as a bridge to AI5, Tesla’s next-generation autonomy chip expected to enter production later in 2026. As Tesla’s neural networks grow larger and more computationally demanding, Hardware 4.5 may provide additional headroom for vehicles built before AI5 becomes widely available.
Elon Musk
Elon Musk’s Grokipedia is getting cited by OpenAI’s ChatGPT
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia.
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia, an AI-generated encyclopedia developed by rival xAI, which was founded by Elon Musk. The citations appeared across a limited set of queries.
Reports about the matter were initially reported by The Guardian.
Grokipedia references in ChatGPT
Grokipedia launched in October as part of xAI’s effort to build an alternative to Wikipedia, which has become less centrist over the years. Unlike Wikipedia, which is moderated and edited by humans, Grokipedia is purely AI-powered, allowing it to approach topics with as little bias as possible, at least in theory. This model has also allowed Grokipedia to grow its article base quickly, with recent reports indicating that it has created over 6 million articles, more than 80% of English Wikipedia.
The Guardian reported that ChatGPT cited Grokipedia nine times across responses to more than a dozen user questions during its tests. As per the publication, the Grokipedia citations did not appear when ChatGPT was asked about high-profile or widely documented topics. Instead, Grokipedia was referenced in responses to more obscure historical or biographical claims. The pattern suggested selective use rather than broad reliance on the source, at least for now.
Broader Grokipedia use
The Guardian also noted that Grokipedia citations were not exclusive to ChatGPT. Anthropic’s AI assistant Claude reportedly showed similar references to Grokipedia in some responses, highlighting a broader issue around how large language models identify and weigh publicly available information.
In a statement to The Guardian, an OpenAI spokesperson stated that ChatGPT “aims to draw from a broad range of publicly available sources and viewpoints.” “We apply safety filters to reduce the risk of surfacing links associated with high-severity harms, and ChatGPT clearly shows which sources informed a response through citations,” the spokesperson stated.
Anthropic, for its part, did not respond to a request for comment on the matter. As for xAI, the artificial intelligence startup simply responded with a short comment that stated, “Legacy media lies.”
Swedish unions consider police report over Tesla Megapack Supercharger
Tesla HW4.5 spotted in new Model Y, triggers speculation
