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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.

“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.”

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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.

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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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

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Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users.

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla started rolling out its Full Self-Driving (Supervised) v14.1.7 suite last night to owners, and there are several improvements to note within the new update that are at least the start of fixes to highly-mentioned issues.

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users. However, there are a handful of shortcomings that are still present within the suite, which are not something that will be fixed within the span of a single update.

For what it is, Full Self-Driving does an excellent job of navigating — once you get it on its correct path. Our issues tend to be confined to navigation, routing, and the decision-making process that has to do with the way the car wants to get you to your destination. There were five things that happened on our first drive with v14.1.7 that are worth mentioning. The full drive will be available at the bottom of this article.

Navigation and Routing Still Seems to Be a Major Challenge

In past content, we’ve discussed the issues with routing and navigation, and how a Tesla chooses its path. Most noticeably, these issues occur in the same areas; for me, it’s my local Supercharger. My 2026 Model Y with AI4 continues to pick less-than-optimal routes out of the Supercharger, and in this instance, it actually chose to turn down a road, pull over, and give me the wheel, essentially asking, “Hey, can you get me on the right track here?”

This is still my biggest bone to pick with FSD, even more so than some of the bonehead moves it’s made in tougher scenarios (mostly parking lots with very limited visibility due to shrubs being planted in the worst possible locations). It’s rare that it happens, but this particular Supercharger has been a true thorn in the side of my Tesla.

This is not an issue that is confined to v14.1.7, or even v14 in general. Unfortunately, it is an issue that has persisted throughout my ownership experience, as well as during Demo Drives.

Stuttering and Hesitation at Intersections was Non-Existent

There was some confusion regarding my language in a recent article where I stated Tesla is confronting the issues that have been reported regarding the “stabbing” with braking.

“Tesla began the v14.1.4 launch last night, which included minor improvements and addressed brake-stabbing issues many owners have reported. In my personal experience, the stabbing has been awful on v14.1.3, and is a major concern.

However, many things have improved, and only a couple of minor issues have been recurring. Many of the issues v13 addressed are no longer an issue, so Tesla has made significant progress.”
It has undoubtedly improved, but it is not resolved.

With that being said, I did not feel a single example of hesitation, stabbing, or stuttering at a single intersection or instance when it has been present in the past. CEO Elon Musk said it would be fixed with v14.2, so it seems like Tesla is well on its way to resolving it.

Proper Handling of Crosswalks

It’s crazy how many people still do not stop for pedestrians at clearly-marked crosswalks. I had two instances of it happen during the drive, with FSD stopping for those pedestrians both times.

Human drivers did not stop either time:

Handled Merging onto a Highway with an Inconsiderate Driver Well

Routinely, drivers will get over into the left lane, if they are able, to allow merging traffic to safely enter the freeway. It does not always happen this way, and it’s not required by law.

Not exclusive to v14.1.7, as many past iterations would have done this as well, but it was nice to watch the vehicle slow down to let that traffic pass. It then entered the freeway safely, and the entire maneuver was well done.

Took an Appropriate Move with Oncoming Foot Traffic and Debris in a Tight Alleyway

This was probably the most on-edge I was during the drive because: 1) FSD chose to take an unnecessary alleyway, and 2) there was a box and oncoming pedestrians.

The car was aware of everything that was going on. In order to avoid the box, it would have had to turn toward the pedestrians, and in order to avoid the pedestrians, it would have had to turn into the box.

It chose to wait patiently, and after the pedestrians were past the car, FSD chose to proceed.

Closing Thoughts

Overall, we’re very impressed with v14.1.7, and we think this is Tesla’s best iteration of the FSD suite yet, as it should be since it’s the newest version available. Tesla’s attention to detail regarding the brake stabbing is really well done, and it seems evident that a complete fix is on its way.

Other than the navigation issue at the very beginning, which was not an intervention, at least in my opinion, this was a really successful drive.

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Elon Musk debunks report claiming xAI raised $15 billion in funding round

xAI also responded with what appeared to be an automated reply, stating, “Legacy Media Lies.”

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Credit: xAI

Elon Musk has debunked a report claiming his AI startup xAI had raised $15 billion from a funding round. Reports of the alleged funding round were initially reported by CNBC, which cited sources reportedly familiar with the matter.

CNBC’s report

The CNBC story cited unnamed sources that claimed that the new capital injection would help fund GPUs that xAI needs to train its large language model, Grok. The news outlet noted that following the funding round, xAI was valued at $200 billion. 

Artificial intelligence startups have been raising funds from investors as of late. OpenAI raised $6.6 billion in October, valuing the startup at a staggering $500 billion. Reuters also reported last month that OpenAI was preparing for an IPO with a valuation of $1 trillion. Elon Musk’s xAI is looking to catch up and disrupt OpenAI, as well as its large language model, ChatGPT, which has become ubiquitous.

Elon Musk and xAI’s responses

In his response on X, Elon Musk simply stated that the CNBC story was “false.” He did not, however, explain if the whole premise of the publication’s article was fallacious, or if only parts of it were inaccurate. 

Amusingly enough, xAI also issued a response when asked about the matter by Reuters, which also reported on the story. The artificial intelligence startup responded with what appeared to be an automated reply, which read, “Legacy Media Lies.”

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xAI, founded in July 2023 as an alternative to OpenAI and Anthropic, has aggressively built out infrastructure to support its flagship products, including Grok and its recently launched Grokipedia platform. The company is developing its Colossus supercomputer in Memphis, which is heralded as one of the world’s largest supercomputer clusters.

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