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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.

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

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“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.

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 FSD v14.2.2 is getting rave reviews from drivers

So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

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Credit: @BLKMDL3/X

Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others. 

The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

Owners highlight major improvements

Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.

Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.

Closer to unsupervised

FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.

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According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.

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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.

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Credit: xAI

The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil. 

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.

xAI Integration

As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.

“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release. 

Strategic advantages

The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.

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“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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