This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Earlier this week, NTSB Chief Jennifer Homendy made some disparaging comments regarding Tesla’s use of “Full Self-Driving” to explain its semi-autonomous driving suite. The remarks from Homendy show that Tesla may not have a fair chance when it ultimately comes to proving the effectiveness of its FSD program, especially considering agency officials, who should remain impartial, are already making misdirected comments regarding the name of the suite.
In an interview with the Wall Street Journal, Homendy commented on the company’s use of the phrase “Full Self-Driving.” While Tesla’s FSD suite is admittedly not capable of Level 5 autonomy, the idea for the program is to eventually roll out a fully autonomous driving program for those who choose to invest in the company’s software. However, instead of focusing on the program’s effectiveness and commending Tesla, arguably the leader in self-driving developments, Homendy concentrates on the terminology.
Homendy said Tesla’s use of the term “Full Self-Driving” was “misleading and irresponsible,” despite the company confirming with each driver who buys the capability that the program is not yet fully autonomous. Drivers are explicitly told to remain vigilant and keep their hands on the wheel at all times. It is a requirement to use Autopilot or FSD, and failure to do so can result in being locked in “Autopilot jail” for the duration of your trip. Nobody wants that.
However, despite the way some media outlets and others describe Tesla’s FSD program, the company’s semi-autonomous driving functionalities are extraordinarily safe and among the most complex on the market. Tesla is one of the few companies attempting to solve the riddle that is self-driving, and the only to my knowledge that has chosen not to use LiDAR in its efforts. Additionally, Tesla ditched radar just a few months ago in the Model Y and Model 3, meaning cameras are the only infrastructure the company plans to use to keep its cars moving. Several drivers have reported improvements due to the lack of radar.
These comments regarding FSD and Autopilot are simple: The terminology is not the focus; the facts are. The truth is, Tesla Autopilot recorded one of its safest quarters, according to the most recently released statistics that outlined an accident occurring on Autopilot just once every 4.19 million miles. The national average is 484,000 miles, the NHTSA says.
It isn’t to say that things don’t happen. Accidents on Autopilot and FSD do occur, and the NHTSA is currently probing twelve incidents that have shown Autopilot to be active during an accident. While the conditions and situations vary in each accident, several have already been proven to be the result of driver negligence, including a few that had drivers operating a vehicle without a license or under the influence of alcohol. Now, remind me: When a BMW driver is drunk and crashes into someone, do we blame BMW? I’ll let that rhetorical question sink in.
Of course, Homendy has a Constitutional right to say whatever is on her mind. It is perfectly reasonable to be skeptical of self-driving systems. I’ll admit, the first time I experienced one, I was not a fan, but it wasn’t because I didn’t trust it. It was because I was familiar with controlling a vehicle and not having it manage things for me. However, just like anything else, I adjusted and got used to the idea, eventually becoming accustomed to the new feelings and sensations of having my car assist me in navigating to my destination.
To me, it is simply unfortunate for an NTSB official to claim that Tesla “has clearly misled numerous people to misuse and abuse technology.” One, because it isn’t possible, two, because it would be a massive liability for the company, and three, because Tesla has never maintained that its cars can drive themselves. Tesla has never claimed that its cars can drive themselves, nor has Tesla ever advised a driver to attempt a fully autonomous trek to a destination.
The numerous safety features and additions to the FSD suite have only solidified Tesla’s position as one of the safest car companies out there. With in-cabin cameras to test driver attentiveness and numerous other safety thresholds that drivers must respond to with the correct behaviors, Tesla’s FSD suite and its Autopilot program are among the safest around. It isn’t favorable for NTSB head Homendy to comment in this way, especially as it seems to be detrimental to not only Tesla’s attempts to achieve Level 5 autonomy but the entire self-driving effort as a whole.
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-Joey
Elon Musk
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
Tesla, SpaceX, and xAI unveiled TERAFAB, a $25B chip factory targeting one terawatt of AI compute annually.
Elon Musk took the stage over the weekend at the defunct Seaholm Power Plant in Austin, Texas, to officially unveil TERAFAB, a $20-25 billion joint venture between Tesla, SpaceX, and xAI that he described as “the most epic chip building exercise in history by far.” The announcement marks the most ambitious infrastructure bet Musk has made since Gigafactory 1 in Sparks, Nevada, and it fuses three of his companies into a single, vertically integrated AI hardware machine for the first time.
TERAFAB is designed to consolidate every stage of semiconductor production under one roof, including chip design, lithography, fabrication, memory production, advanced packaging, and testing. At full capacity, the facility would scale to roughly 70% of the global output from the current world’s largest semiconductor foundry from Taiwan Semiconductor Manufacturing Company (TSMC).
Elon Musk’s stated goal is one terawatt of computing power annually, split between Tesla’s AI5 inference chips for vehicles and Optimus robots, and D3 chips built specifically for SpaceXAI’s orbital satellite constellation.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
The logic behind the merger of these three entities is rooted in a supply chain crisis Musk has been signaling for over a year. At Tesla’s Q4 2025 earnings call, he warned investors that external chip capacity from TSMC, Samsung, and Micron would hit a ceiling within three to four years. “We’re very grateful to our existing supply chain, to Samsung, TSMC, Micron and others,” Musk acknowledged at the Terafab event, “but there’s a maximum rate at which they’re comfortable expanding.” Building in-house was, in his framing, not a strategic option, but a necessity.
The space angle is where the announcement becomes genuinely unprecedented. Musk said 80% of Terafab’s compute output would be directed toward space-based orbital AI satellites, arguing that solar irradiance in space is roughly 5x greater than at Earth’s surface, and that heat rejection in vacuum makes thermal scaling viable. This directly feeds the SpaceXAI vision, which is betting that within two to three years, running AI workloads in orbit will be cheaper than doing so on the ground. The satellites, powered by constant solar energy, would effectively turn low Earth orbit into the world’s largest data center.
Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI
Historically, this announcement threads together every major Musk initiative of the past two years: the xAI-SpaceX merger, Tesla’s $2.9 billion solar equipment talks with Chinese suppliers, the 100 GW domestic solar manufacturing push, the Optimus humanoid robot program, and Starship’s development. TERAFAB is the capstone that ties them into a single coherent architecture — chips made on Earth, launched by SpaceX, powered by Tesla solar, run by xAI, and ultimately extended to the Moon.
“I want us to live long enough to see the mass driver on the moon, because that’s going to be incredibly epic,”Musk said during the presentation.
Announcing TERAFAB: the next step towards becoming a galactic civilization https://t.co/IDKey07mJa
— Tesla (@Tesla) March 22, 2026
News
Rolls-Royce makes shocking move on its EV future
When Rolls-Royce unveiled its first all-electric model, the Spectre, in 2022, former CEO Torsten Müller-Ötvös declared the brand would cease production of internal combustion engine vehicles by the end of the decade.
Rolls-Royce made a shocking move on its EV future after planning to go all-electric by the end of the decade. Now, the company is tempering its expectations for electric vehicles, and its CEO is aiming to lean on its legacy of high-powered combustion engines to lead it into the future.
In a significant reversal, Rolls-Royce Motor Cars has scrapped its ambitious plan to become an all-electric manufacturer by 2030. The luxury British marque announced the decision amid sustained customer demand for traditional combustion engines and shifting regulatory landscapes.
When Rolls-Royce unveiled its first all-electric model, the Spectre, in 2022, former CEO Torsten Müller-Ötvös declared the brand would cease production of internal combustion engine vehicles by the end of the decade.
The move aligned with the industry’s broader push toward electrification, promising silent, effortless power befitting the “Rolls-Royce of cars.”
However, new CEO Chris Brownridge, who assumed the role in late 2023, has reversed course. “We can respond to our client demand … we build what is ordered,” Brownridge stated.
The company will continue offering its iconic V12 engines, which remain a cornerstone of its heritage and appeal to discerning buyers who appreciate the distinctive sound and character. He noted the original pledge was “right at the time,” but “the legislation has changed.”
While not abandoning electric vehicles entirely, the Spectre remains in production, with an electric Cullinan option forthcoming; the decision marks the end of a strict all-EV timeline. Relaxed emissions regulations and slowing EV demand, evidenced by a 47 percent drop in Spectre sales to 1,002 units in 2025, forced the reconsideration.
It was a sign that perhaps Rolls-Royce owners were not inclined to believe that the company’s all-EV future was the right move.
Rolls-Royce joins a growing roster of automakers reevaluating aggressive electrification targets.
Fellow luxury brand Bentley has pushed its full electrification from 2030 to 2035, while continuing to offer hybrids and ICE models. Mercedes-Benz walked back its 2030 all-EV goal, now aiming for about 50% electrified sales while keeping combustion engines into the 2030s. Porsche has abandoned its 80% EV sales target by 2030, delaying models and extending hybrids.
Mainstream giants are following suit. Honda canceled its U.S. EV plans, including the 0-Series and Acura RSX, facing a $15.7 billion hit as it doubles down on hybrids. Ford and General Motors have incurred tens of billions in writedowns, canceling models and pivoting to hybrids amid an industry total exceeding $70 billion in charges.
This trend reflects a pragmatic shift driven by infrastructure gaps, consumer preferences, and policy changes. In the ultra-luxury segment, where emotional connection reigns, automakers are prioritizing flexibility over rigid deadlines, ensuring brands like Rolls-Royce evolve without alienating their core clientele.
News
Elon Musk teases expectations for Tesla’s AI6 self-driving chip
This optimistic timeline for tape-out—the stage where chip design is finalized before manufacturing—signals Tesla’s push to rapidly advance its silicon capabilities.
Tesla CEO Elon Musk is outlining expectations for the AI6 self-driving chip, which is still two generations away. Despite this, it is already in the plans of the company and its serial entrepreneur CEO, who has high expectations for it.
Musk provided fresh details on the company’s aggressive AI hardware roadmap, spotlighting the upcoming AI6 chip designed to supercharge Tesla’s self-driving tech, humanoid robots, and data center operations.
In a post on X dated March 19, Musk stated, “With some luck and acceleration using AI, we might be able to tape out AI6 in December.”
With some luck and acceleration using AI, we might be able to tape out AI6 in December
— Elon Musk (@elonmusk) March 19, 2026
This optimistic timeline for tape-out—the stage where chip design is finalized before manufacturing—signals Tesla’s push to rapidly advance its silicon capabilities.
The announcement builds on progress with the predecessor AI5. Earlier in January, Musk announced that the AI5 design was “in good shape” and “almost done,” describing it as an “existential” project for the company that demanded his personal attention on weekends.
He characterized AI5 as roughly equivalent to Nvidia’s Hopper class performance in a single system-on-chip (SoC) and Blackwell-level as a dual configuration, but at significantly lower cost and power usage.
Elon Musk is setting high expectations for Tesla AI5 and AI6 chips
Musk highlighted that AI5 “will punch far above its weight” thanks to Tesla’s co-designed AI software and hardware stack, making maximal use of every circuit. While capable of data center training tasks, it is primarily optimized for edge computing in Optimus robots and Robotaxi vehicles.
For AI6, Musk envisions substantial gains. “In the same half reticle and same process node, we think a single AI6 chip has the potential to match a dual SoC AI5,” he explained.
The company is targeting ambitious nine-month development cycles for future chips, allowing rapid iteration to AI7, AI8, and beyond. AI5/AI6 engineering remains Musk’s top time allocation at Tesla, with the CEO calling AI5 “good” and AI6 “great.”
Samsung is expected to manufacture the AI6 chips, following deals worth billions, while AI5 will leverage TSMC and Samsung production. These chips will form the backbone of Tesla’s Full Self-Driving system, enabling safer and more capable autonomy, alongside powering dexterous movements in Optimus bots and efficient inference in expanding data centers.
Tesla to discuss expansion of Samsung AI6 production plans: report
Musk has also restarted work on the Dojo 3 supercomputer project now that AI5 is progressing. Long-term plans include in-house manufacturing via the Terafab facility.
By accelerating chip development with AI tools, Tesla aims to reduce dependence on third-party GPUs and deliver high-performance, energy-efficient solutions tailored to its ecosystem. Success with AI6 could mark a major milestone in Tesla’s journey toward full autonomy and robotics leadership, though timelines remain subject to manufacturing realities.