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Driver-assistance tech seen as annoyance by many non-Tesla drivers

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Automakers have been adding driver assistance features to new vehicles for years now, especially with the industry gearing towards self-driving technology. However, a recent J.D. Power 2019 U.S. Tech Experience Index (TXI) Study has found that many drivers see them as “nannying” annoyances and often opt to turn them off. While it doesn’t look like Tesla’s all-electric vehicles were included in the study, the results draw an interesting contrast between Autopilot and other manufacturers’ approach to similar technology.

“Automakers are spending lots of money on advanced technology development, but the constant alerts can confuse and frustrate drivers,” explained Kristin Kolodge, Executive Director of Driver Interaction & Human Machine Interface Research at J.D. Power, as quoted in the study’s summary. “The technology can’t come across as a nagging parent; no one wants to be constantly told they aren’t driving correctly.”

When it comes to lane-keeping and centering systems in particular, an average of 23% of customers with these systems complained that the alerts are annoying or bothersome. Of this group, around 61% frequently choose to disable the features. Even more telling is that out of six categories of vehicle features rated by the study, driving assistance was scored second lowest in measured owner experiences. The other categories were collision protection, smartphone mirroring, comfort and convenience, entertainment and connectivity, and navigation. The study overall was focused on owner experiences, usage, and interaction with 38 driver-centric vehicle technologies at 90 days of ownership.

Image: J.D. Power 2019 U.S. Tech Experience Index (TXI) Study results.

The Kia Stinger scored the highest in all categories out of the vehicles rated by J.D. Power. On a 1,000-point scale, it averaged 834, the overall average being 781 and the lowest-scoring model coming in at 709. The Korean auto maker’s compact luxury sedan has a full suite of active safety features including adaptive cruise control, automatic emergency braking, blind spot warning, rear cross-traffic alert, lane keeping assist, pedestrian detection, and a driver attention alert.

Since owner satisfaction is directly tied to future purchases and customer recommendations, the findings in the J.D. Power study are significant. “When overall satisfaction is greater than 900, 75% “definitely will” repurchase the same make again and 95% “definitely will” recommend it. Automakers looking to drive loyalty need to provide a highly satisfying tech usage experience,” the summary concluded. With this in mind alongside self-driving developments, it’s especially important for owners to find value in their driver assistance features if manufacturers hope to win consumer confidence as features progress.

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“Consumers are still very concerned about cars being able to drive themselves, and they want more information about these complex systems, as well as more channels to learn how to use them or how and why they kick in,” Kolodge commented on the findings. “If they can’t be sold on lane-keeping—a core technology of self-driving—how are they going to accept fully automated vehicles? …It’s essential that the industry recognize the importance of an owner’s first experience with these lower-level automated technologies because this will help determine the future of adoption of fully automated vehicles.”

Tesla’s warning system indicating that the driver needs to take control. (Photo: AutoPilot Review/YouTube)

Tesla’s Autopilot is perhaps becoming one of the most well-known driver assist features offered by an auto company today, and it’s primarily due to high owner satisfaction. Owners frequently report their positive experiences with the feature’s traffic capabilities, and numerous videos and stories have been shared about how preventative measures taken by Autopilot have prevented serious traffic incidences. What’s more, Tesla’s own safety data validates these owner findings on a macroscale and has led the company to make some functions available even without the Full Self-Driving suite.

In May, Tesla introduced two new active lane monitoring features designed to help prevent drivers from unintentionally leaving their lane of travel named ‘Lane Departure Avoidance’ and ‘Emergency Lane Departure Avoidance.’ They are derived from Autopilot, yet work while it’s not on. The Lane Departure Avoidance applies corrective steering to keep drivers in their intended travel lane if a departure is sensed without a turn signal. Emergency Lane Departure Avoidance is automatically enabled and is designed to return a Tesla vehicle back to its original lane if a departure and an imminent collision are detected, rather than simply alerting drivers of the situation. “As our quarterly safety reports have shown, drivers using Autopilot register fewer accidents per mile than those driving without it,” Tesla’s press release on the lane-oriented features stated.

Lane-keeping technologies may not be big sellers for legacy auto companies, but Tesla is clearly making very good headway with those features.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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