Tesla Autopilot continues to be taboo to many people, and it is understandable. In a world where people have absolute control over everything in their life, it is tough to assume many people would be comfortable with their car driving itself. But the issue is, many people, countries, and entities are not willing to give the self-driving characteristic a chance.
Despite Autopilot’s impressive performance figures, Germany announced this week that Tesla could not use the word “Autopilot” in any advertising, because it still requires the driver to remain attentive during its use. But the problem is, Autopilot, in any sense of the word, doesn’t state the vehicle in question can operate entirely on its own. Tesla’s description of the function also requires the driver to keep their hands on the wheel at all times in case of an emergency.
But the issue really comes down to the taboo subject of self-driving vehicles. To my surprise, many people outside the Tesla community are still uninformed and misguided on Autopilot’s capabilities. Every time one of my friends or family members see a Tesla, they automatically think it’s driving itself, and the operator is sitting in the passenger seat playing on their phone.
We all know that Autopilot doesn’t work that way. And even though Tesla is head and shoulders above the competition in terms of self-driving capabilities, they still can’t drive themselves, but the company has never indicated that their vehicles are fully autonomous.
The Tesla community knows that.
However, there are groups of people and even entire countries that still seem to believe that Tesla’s Autopilot claims are unrealistic and “misleading.” In reality, the company’s cars do exactly what the electric automaker claims they do.
This is not the first time a country has thrown Autopilot away because Israel altogether outlawed any use of the capability in the past. However, after revisiting the case, Israel government officials got a more concrete understanding of how Autopilot works, and they allowed the use of the feature by vehicles that were capable of using it.
A big thanks to our long-time supporters and new subscribers! Thank you.
In my opinion, everyone who is skeptical of Autopilot, especially those who are government officials, should be required to undergo a crash course of the feature and take a ride in a Tesla vehicle while it is using the characteristic.
However, there is something even more surprising to me personally about all of the taboo there is surrounding Autopilot. More of it is from Tesla skeptics and TSLAQ, but you rarely hear about Autopilot navigating through tricky road layouts on mainstream media outlets. It is more about Tesla vehicles that were using Autopilot, ending up in accidents.
Teslarati has covered a series of examples of Autopilot navigating plenty of interesting terrains and situations with relative ease. We cover accidents, too, but we clarify how they occurred. For example, this past week, a Model S collided with a State Trooper and an Ambulance. However, the driver was under suspicion for DUI, although it has not yet been confirmed.
Autopilot is a way for drivers to take the stress out of driving. I know, personally, that I don’t like driving very much. I was in two car accidents in high school, I was not the driver in either instance. Along with seeing accidents on I-95 near Baltimore and other winding backroads near my house, drivers scare me, and I rarely trust anyone operating a car that I’m in.
I would feel safer if Autopilot was operating every car on the road. Not only would the cars get better every single day because of Tesla’s Neural Net, but people wouldn’t be so unpredictable with their driving behavior, and I genuinely believe we all would be much better off.
In the past, technological advancements have been second-guessed. At one time, NASA launched a spaceship to the Moon, and it used less technology than an iPhone. Things advance and opinions change on something. People are going to eventually warm up to the idea of a car driving itself, and there is a chance that even the most vocal skeptics of the self-driving car movement will ultimately utilize the capability to get them from Point A to Point B.
Please consider Subscribing and joining me next week as I go ‘Beyond the News’
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
