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Ohio legislation about autonomous driving misreported – Read the bill, please.

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A recent article published on WCPO online, Ohio, states that, “If you already own a Tesla car with self-driving features in Ohio, a bill introduced last week could prohibit you from driving on most roads in the state.”

This is an example of inaccurate journalism as well as the rush at every proverbial turn to condemn the future and vision of Tesla Motors, Inc.

Let’s do our own review, shall we, and determine the bill’s actual intent? The Ohio bill, with short title, “Regulate autonomous vehicles” actually has two components:

  • to authorize a manufacturer of autonomous vehicles or autonomous technology to operate autonomous vehicles on public roads and highways in accordance with specified requirements; and,
  • to require the Director of Transportation to produce a report discussing whether additional legislative or regulatory actions are necessary for purposes of ensuring the safe testing of autonomous vehicles.

Here are the particulars within the bill’s language, paraphrased to eliminate the legalese.

  • Sec. 4501.50. (B)(1) (2) Individuals aren’t allowed to operate autonomous vehicle on the Ohio public roads and highways right now; only manufacturers of autonomous vehicles can do so, and that’s only for testing the vehicles.

But this makes sense, doesn’t it?  Before we let the Average Joe and Jane drive at a Level 5 full autonomy, we need to test the systems to make sure they’re fully functional. And Ohio is going to allow this testing to take place on their roads, with certain restrictions, so they’re confident that, when autonomous driving becomes the norm, it will be safe. 

  • Sec. 4511.204. Don’t you dare use a handheld electronic wireless communications device while you drive except in emergencies and other specific situations. Additionally, “(11) A person using a handheld electronic wireless communications device for purposes of testing, monitoring, or controlling an autonomous vehicle.”

Isn’t the problem here the “handheld” device?  Most Tesla drivers would be in favor of that stipulation, not only for autonomous vehicles, but for the safety of all drivers on the road. 

  • Section 3. The Director of Transportation will consult with automobile manufacturing and automated technology manufacturing industries and study whether additional legislative steps need to be taken to ensure safe testing of autonomous vehicles, with a report due out in two years.

Hey, good for Ohio. The DOT isn’t pretending to know everything it needs about autonomous driving and technologies, and it’s planning to meet with experts in those fields to learn more before making decisions.  Wise and efficient.

The bill also defines terms like “autonomous vehicle” and “autonomous technology,” which makes sense as any innovations become mainstream. Governances need a common and accepted vocabulary in order to discuss, regulate, and implement legal changes. Plus, the bill builds in certain fines for individuals who breach outlined stipulations.  That’s standard and how laws work.

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WCPO’s article quotes Rep. Cheryl Grossman, one of two state Republicans who introduced the bill:

“Many bills have a starting place, and will have 8 or 9 drafts before you come up with the final one. I thought it was important to have conversations on what we need here in Ohio. So just because it starts that way, doesn’t mean that’s how it’ll end up.”

Because Ohio House Bill 608 will have changes, there is no direct correlation that those changes will foster, as the title to the article states, “Tesla owners wouldn’t be able to drive on most roads if this bill passes.” Maybe a wild title-creating editor superimposed hyperbole over the author’s intentions? It happens. But let’s not incite Ohio and other states to levels of fear that they’ll be prohibited from using the revolutionary software on their $100,00 luxury Tesla vehicles, shall we?

Many other states have their own autonomous/ self-driving vehicles legislation. The National Highway Transportation Safety Administration (NHTSA) has issued a Federal Automated Vehicles Policy. Essentially, NHTSA is broadly in favor of self-driving technology, given the potential to reduce the death toll on the nation’s roads, which was above 35,000 in 2015 and up almost 8 percent versus 2014.

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Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

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Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

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This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

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Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

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I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

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Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

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“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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Apple is developing the missing link for Tesla to get CarPlay: report

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Credit: Michał Gapiński/YouTube

A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.

Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.

A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.

CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.

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Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:

The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.

Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.

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This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.

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