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Tesla Model S, X with “Hardware 3” for Full Self-Driving now in production, inventory codes indicate
Tesla has begun producing Model X and Model S vehicles with the latest Autopilot hardware to support Full Self-Driving capabilities. Dubbed “HW3”, the new hardware is Tesla’s next iteration of its semi-autonomous driving-assist feature that includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark, and the ability to respond to traffic lights.
Looking at the source code behind Tesla’s New Inventory site, we’re able to see that recently produced Model S and Model X with Autopilot have been given an “APH4” options code, signifying that these vehicles are equipped with the latest Full Self-Driving hardware. Tesla uses the option code sequence “APHx” to denote the type of Autopilot hardware installed in its vehicles. APH2 indicates HW2 and APH3 = HW2.5 (Autopilot 2.5). Thus, APH4 is HW3.
Here’s a side-by-side comparison of two 2019 Model S with and without the new Hardware 3 for Autopilot.
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- 2019 Tesla Model S with Hardware 2.5 (2019 Tesla Model S with “Hardware 3” (APH3)
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- 2019 Tesla Model S with “Hardware 3” (APH4)
Source: Tesla New Inventory listing
The tip comes to us from Tesla Info and Inventory, a web site which compiles inventory data for Tesla vehicles around the world, noted that internal vehicle “option codes” indicated a change from Hardware 2.5 to Hardware 3. The site pulls source data directly from Tesla’s car listing pages and analyzes the “config” data embedded in the HTML to determine this information.
This discovery aligns with the schedule for the HW3 installs previously set forth by Tesla CEO Elon Musk. Last October, Musk estimated a 6-month wait before the the new chips would be installed in all new production cars, meaning an April showing.
~6 months before it is in all new production cars. No change to sensors. This is simple replacement of the Autopilot computer. Will be done free of charge for those who ordered full self-driving.
— Elon Musk (@elonmusk) October 16, 2018
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Musk has touted HW3 as the “world’s most advanced computer designed specifically” for the purpose of self-driving functionality, with Tesla holding a notable lead in the field overall. “If you add everyone else up combined, they’re probably 5% — I’m being generous — of the miles that Tesla has. And this difference is increasing,” Musk said in Tesla’s 2018 Q4 earnings call.
For vehicles without HW3 installed at the time of manufacture, Musk has stressed the simplicity of the upgrade process in Tesla’s 2018 Q2 earnings call. “We take out one computer and plug in the next. That’s it. All the connectors are compatible and you get an order of magnitude, more processing and you can run all the cameras at primary full resolution with the complex neural net.”
The simple upgrade to HW3 does require Tesla cars to have HW2 as the equipment needed for its functionality was included in those vehicles. The software uses an array of 8 cameras, 12 ultrasonic sensors, and a forward-facing radar paired with Tesla’s vision and neural net system.
The first features of the Full Self-Driving suite were included in the Version 9 software released in October. “Navigate on Autopilot”, an active guidance feature with Autosteer for highway driving (with driver supervision) came soon after with the release of HW2.5. Improvement in performance from software Version 8.1. to 9.0 was increased by about 400% in useful operations per second; however, the difference between V9.0 and HW3 will make a difference of 500-2000%, according to Musk. Tesla has been releasing iterative over-the-air updates over the last year in preparation for the coming HW3 and complete FSD capabilities.
The current iteration of Tesla’s FSD capabilities includes core highway navigation, autopark, and Summon for car retrieval in parking lots. Recognition of traffic signs and signals as well as city street driving are expected to be coming later this year.
Now that HW3 is on its way to current and future Tesla customers, Full Self-Driving certainly feels right around the corner. However, the biggest obstacle to full implementation still sits on the regulation side, a time-consuming yet necessary part of the consumer vehicle industry, especially when a company is handing over responsibility to a computer. Tesla’s Autopilot page still references full self-driving capabilities as something “in the future” that may happen after regulatory approval which “may take longer in some jurisdictions.”
Tesla’s dominance in the all-electric market will most likely work in its favor to overcome the legal hurdles in the way of autonomous driving. As sales continue to rise with the growing number of customers now able to meet more affordable price points, Tesla will keep accumulating useful data to hone its FSD software and make the case for its much-safer-than-humans capabilities. Other companies may have long been battling the same regulatory demons Tesla is now up against, but the electric car was also “killed off” prior to their very influential arrival on the market. In “Musk World”, there is improbable, but not often impossible.
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Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
