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Tesla has a misinformation problem, and silence may no longer be enough
During the first quarter earnings call, Lars Moravy, Tesla’s vice president of vehicle engineering, stated that the company is hard at work cooperating with local authorities and agencies like the NTSB and the NHTSA to investigate a fatal Model S crash in Texas earlier this month. Moravy’s statements provided some new insights into the ongoing investigation, particularly when he mentioned that Tesla did a study to see how the company’s technologies operate in the area of the accident.
“We did a study with them over the past week to understand what happened in that particular crash. And what we’ve learned from that effort was that Autosteer did not and could not engage on the road condition that — as it was designed. Our adaptive cruise control only engages when a driver was buckled in about 5 miles per hour. And it only accelerated to 30 miles per hour with the distance before the car crashed,” he said.
A look at Moravy’s statements shows that Tesla’s adaptive cruise control could only accelerate to 30 mph in the distance that the ill-fated Model S covered before it smashed into a tree. This goes against initial reports stating that the vehicle had been involved in a high-speed crash. The state of the Model S when authorities found it also hinted that the car collided with the tree at speeds beyond 30 mph. Moravy’s statement was clear enough, but apparently, it was not clear enough for some — and it’s causing even US congressmen to become misinformed about the issue.
Despite early claims by #Tesla #ElonMusk, autopilot WAS engaged in tragic crash in The Woodlands.
We need answers. https://t.co/e3TQTRv72Z
— Kevin Brady (@RepKevinBrady) April 28, 2021
Misreporting Spreads Quickly
Rep. Kevin Brady recently shared an article on his Twitter page which featured Moravy’s statement from the Q1 earnings call. The only problem was that the article Brady shared misunderstood the Tesla executive’s statement, with the article alleging that “at least one Tesla Autopilot feature was active” during the fatal Tesla crash. This, of course, is completely inaccurate, and EV owners and Tesla Twitter pointed it out as such. Moravy, after all, was referring to a test that the company ran, not the findings of the investigation, which is still ongoing.
Unfortunately, the US congressman seemed unconvinced. Despite the wave of corrections from the EV community and Tesla owners, or just Twitter users who actually bothered to listen and read the Q1 earnings call transcript, Brady argued in a later tweet that the source of his information was Tesla itself. And this, in a lot of ways, brings up a can of worms for the electric car maker and its longtime supporters.
Uh…Tesla. (Read the article, Sparky)
— Kevin Brady (@RepKevinBrady) April 28, 2021
Misinformation must be corrected
This is not the first time that Tesla has found itself on the receiving end of inaccurate reporting. Tesla has always battled misinformation since its early days, from reports claiming that the Model S was vaporware to ones claiming that Giga Shanghai was just an empty shell where Model 3s from Fremont were being stored. But while most of the misreporting surrounding Tesla is now expected by those following the company, and while some of this misinformation is almost humorous — such as a usually-critical Tesla reporter arguing that the Powerwall does not exist because she has never seen one in person — some stories require a more active hand.
Granted, Elon Musk has made his stance clear on advertising, or, as the CEO noted on Twitter, “manipulating public opinion.” However, it is not too difficult to see that Tesla will be fighting an unnecessarily uphill battle against misinformation if it does not have a way to make the correct information public. Musk has also stated on Twitter that “I trust the people,” which is no surprise considering his optimism. However, people are also very easy to manipulate, especially if they are immersed, for the most part, in misinformation.
Other companies spend money on advertising & manipulating public opinion, Tesla focuses on the product.
I trust the people.
— Elon Musk (@elonmusk) April 27, 2021
Not-a-PR Team
If there is anything that the ongoing misinformation surrounding the tragic Texas crash has shown, it is that Tesla may need a better strategy than just staying silent until an inaccurate story dies. This does not have to come in the form of a dedicated PR team or advertisements either, as those are strategies that have worked for companies that are almost antithetical to Tesla. Either way, the EV community may find it advantageous if something could be done about the ongoing inaccurate reports and allegations being thrown against the company. Perhaps Tesla could find a solution that meets these needs while staying true to its out-of-the-box character.
Tesla is a creative company that is unorthodox and bold enough that it decided to build a vehicle assembly line in a sprung structure to meet its goals. With this in mind, there is a pretty good chance that Tesla could find a workaround for its misinformation problem. Before this could happen, of course, Tesla would first have to admit that something more than silence is needed to usher in the company towards new heights.
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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.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
