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Tesla’s in-house Full Self-Driving chip puts TSLA 4 years ahead of competition: analyst
Tesla’s decision to develop its Full Self-Driving (FSD) computer chip in-house has put it four years ahead of the competition, according to ARK Invest analyst James Wang.
Wang laid out the case for the all-electric car maker’s custom automotive-grade computer against the next-best options in the market, all Nvidia products, in an article on ARK Invest’s website. His stated goal in the piece was to clarify Tesla’s position and achievement with full self-driving in simple terms as well as explain why an off-the-shelf chip would not have accomplished the same feat.
Admittedly, Tesla’s Autonomy Day livestream debuting the arrival of its Full Self-Driving computer was chock full of very technical details that many outside the computer science world indicated were difficult to follow. Thus, Wang’s FSD simplification is helpful for gaining insight into Tesla’s autonomous driving progress in terms of the bigger industry picture.
In summary, by focusing only on what its particular needs were for its particular software demands, Tesla was was able to improve its chip’s performance efficiency to a level that has allowed it to “leapfrog” over competitors. Wang predicts that by 2021, Tesla will be ready to release its next generation FSD computer while its closest competitor in terms of optimal peak utilization is just coming to market.
Nvidia is a prominent and highly successful leader in computer chip design, and Tesla already uses its products for Hardware 2.5, the computer currently running the electric car maker’s Autopilot features. That said, the industry giant has three self-driving-focused chips in its lineup: Xavier (in production), Pegasus (readying for production) and Orin (still pending an official announcement).
Pegasus is a Level 5 self-driving computer, as is Tesla’s FSD; however, it has twice as many chips as FSD, consumes seven times more power than FSD, and is too big and expensive for the Model 3. Since Nvidia designs chips for a wide range of hardware manufacturers, much like the Windows and Android operating systems are designed to be flexible enough for different computer and smartphone hardware suites, their functionality cannot be overly streamlined for one system over another. In contrast, Tesla (like Apple hardware/software) can focus all of its autonomy efforts on its specific hardware and software needs, thus achieving a greater output than Nvidia’s product.
In a follow up to Tesla’s Autonomy Day presentation wherein FSD was compared to Nvidia’s Xavier computer, a chip designed for semi-autonomous driving only, the chip manufacturer published a company blog piece drawing attention to Pegasus’ capabilities as a better measure for analysis. As pointed out in Wang’s analysis, the FSD and Pegasus still do not achieve the same metrics, leaving Tesla well positioned amongst its self-driving computer peers. Despite the issue, though, Nvidia’s conclusion was a positive response to the car maker’s achievement: Tesla has raised the bar on self-driving and other car manufacturers need to get on board before falling too far behind.
During the Autonomy Day presentation, Tesla CEO Elon Musk crowned FSD as “objectively best in the world”, and James Wang’s analysis is yet another outline of why that is arguably the case. Tesla’s Full Self-Driving Computer (formerly known as Hardware 3) is currently being installed in all new production vehicles, and owners who purchased Full Self-Driving for a car produced in 2016 or later will receive a free upgrade to the FSD computer in the near future. Musk has further predicted that Tesla’s full self-driving software will be complete by the end of this year and fully operational by the second quarter of next year.
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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
