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Tesla crash leads NTSB to begin probe of autonomous driving technology

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The echoes of the Autopilot crash that killed Joshua Brown on May 7 are still reverberating. Not only is the National Highway Transportation Safety Administration conducting an investigation, now the National Transportation Safety Board (NTSB) is getting into the act. NHTSA chief Mark Rosekind and Transportation Secretary Anthony Fox have expressed approval of autonomous driving technology. With more than 80% of the 34,000 highway deaths in the US every year attributed to human error, they recognize the power of new safety system to reduce the carnage on America’s roadways.

The NTSB on the other hand has warned that such systems can lead to danger because they lull drivers into complacency behind the wheel. Missy Cummings, an engineering professor and human factors expert at Duke University, says humans tend to show “automation bias,” a trust that automated systems can handle all situations when they work 80% of the time.

According to Automotive News, NTSB will send a team of five investigators to Florida to probe the of Joshua Brown after his Tesla Model S while driving on Autopilot crashed into a tractor trailer. “It’s worth taking a look and seeing what we can learn from that event, so that as that automation is more widely introduced we can do it in the safest way possible,” says Christopher O’Neil, who heads the NTSB.

“It’s very significant,” says Clarence Ditlow, executive director of the Center for Auto Safety, an advocacy group in Washington, DC. “The NTSB only investigates crashes with broader implications.” He says the action by the NTSB is significant. “They’re not looking at just this crash. They’re looking at the broader aspects. Are these driverless vehicles safe? Are there enough regulations in place to ensure their safety” Ditlow adds, “And one thing in this crash I’m certain they’re going to look at is using the American public as test drivers for beta systems in vehicles. That is simply unheard of in auto safety,” he said.

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That is the crux of the situation. Tesla obviously has the right to conduct a beta test of its Autopilot system if only other Tesla drivers were involved. The question is whether it has the same right to do so on public roads with other drivers who are not part of the beta test and who are unaware than an experiment is taking place around them as they drive?

For its part, Tesla steadfastly maintains that “Autopilot is by far the most advanced driver-assistance system on the road, but it does not turn a Tesla into an autonomous vehicle and does not allow the driver to abdicate responsibility. Since the release of Autopilot, we’ve continuously educated customers on the use of the feature, reminding them that they’re responsible for remaining alert and present when using Autopilot and must be prepared to take control at all times.”

That’s all well and good, but are such pronouncements from the company enough to overcome that “automation bias” Professor Cummings refers to?  Clearly, Ditlow thinks not. What the NTSB decides to do, if anything, after it completes its investigation could have a dramatic impact on self driving technology both in the US and around the world. Regulators in other countries will place a lot of weight on what the Board decides.

From Tesla’s perspective, they will want to know if the death of one person is reason enough to delay implementation of technology that could save 100,000 or more lives each year worldwide. The company is racing ahead with improvements to its Autopilot system. Just the other week a Tesla Model S was spotted testing near the company’s Silicon Valley-based headquarters with a LIDAR mounted to its roof.

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NTSB has a lot of clout when it comes to promulgating safety regulations. It will be hard pressed to fairly balance all of the competing interests involved in the aftermath of the Joshua Brown fatality.

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Tesla Model Y L gets new entertainment feature

Beyond audio quality, Immersive Sound X aligns with Tesla’s ecosystem of over-the-air updates, potentially allowing future refinements.

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Credit: Tesla China

Tesla is including a new entertainment feature in the Model Y L, improving the vehicle even further and making it what appears to be the best configuration of the all-electric crossover globally.

Unfortunately, we in the U.S. do not yet have access to the vehicle, and the plans for it to enter the market remain up in the air, as CEO Elon Musk has said it could appear late this year. However, there is nothing concrete at this time.

Tesla’s latest enhancement to the Model Y L is a new Immersive Sound X feature, exclusive to the Model Y L.

It aims to transform the in-car listening experience into something truly cinematic. First introduced by Tesla China in October 2025, this advanced audio mode is now rolling out to deliveries in Australia and New Zealand, highlighting Tesla’s approach to region-specific premium upgrades.

At its core, Immersive Sound X leverages real-time sound extraction technology to create a customizable 3D soundstage. Using advanced algorithms, it analyzes audio tracks to separate direct sounds, such as vocals or lead instruments, from ambient elements like echoes and reverb.

The system then positions direct sounds front and center while diffusing ambient sounds to the side and rear speakers, simulating an expansive virtual environment. This results in a heightened sense of depth and spatial awareness, making listeners feel as if they’re in a concert hall or studio.

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What sets Immersive Sound X apart from the standard Immersive Sound found in other Tesla models is its hardware dependency and enhanced processing. The Model Y L boasts an 18-speaker system with a subwoofer, compared to the 15-speaker setup, plus a subwoofer, in the Model Y Long Range’s previous premium audio configuration.

This upgrade provides more “kick” and precision, enabling finer control over the soundstage. Unlike traditional surround sound, which requires multi-channel mixes like Dolby Atmos, Immersive Sound X works with any stereo source from platforms like Spotify or Apple Music, so every owner will be able to use it.

Tesla Model Y lineup expansion signals an uncomfortable reality for consumers

You can fine-tune the experience via an adjustable immersion slider, scaling the “size” of the virtual space to personal preferences. This caters to a more custom sound.

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An Auto mode intelligently adapts based on media type, whether it’s music, podcasts, or videos, ensuring optimal immersion without manual tweaks. This feature is unavailable on standard Model Y variants (with 7 or 15 speakers) or Model 3 trims, underscoring Tesla’s strategy to differentiate higher trims through superior hardware and software integration.

Beyond audio quality, Immersive Sound X aligns with Tesla’s ecosystem of over-the-air updates, potentially allowing future refinements.

For audiophiles and casual listeners alike, it elevates mundane commutes into immersive journeys, proving Tesla’s commitment to blending cutting-edge tech with user-centric design.

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Elon Musk teases crazy outlook for xAI against its competitors

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

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Credit: NVIDIA

Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.

In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.

The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.

Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.

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Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.

Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.

Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.

The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.

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This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”

Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.

Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.

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Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.

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Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry

Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

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Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.

While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.

Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.

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The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.

tesla-optimus-pilot-production-line

(Credit: Tesla)

This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.

The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.

The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.

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