
Rene
2.7K posts


@Teslarati Much more aggressive on my 2025 Model 3 LR RWD. I prefer this version of Mad Max. It’s not scared at all.
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@DirtyTesLa It’s good for me too and I’m on 14.3.2 as well. Are you having issues with the car being slower at stop signs? Sitting much longer
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@DirtyTesLa I’ve driven 12,800 FSD miles with 94% usage.
Corpus Christi Texas. 2025 Model 3 LR RWD.

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@teslascope I got it as well in Corpus Christi TX.
2025 Model 3 LR RWD. FSD usage 94% w/ 12,800 miles.

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A second and substantially larger wave occured within thirty minutes of the initial wave, with this being the first “wide” rollout (>5%) after numerous Full Self-Driving V14.3.X releases.
We’re seeing all AI4 models included in this rollout, and more waves are anticipated soon.

Teslascope@teslascope
Full Self-Driving V14.3.2 has resumed rollout via 2026.2.9.9!
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@DevinOlsenn Just got FSD 14.3.2 in Texas
Corpus Christi. 94% FSD usage with 12,800 miles
2025 Tesla Model 3 LR RWD.

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Looks like 14.3.2 is rolling out now - check your apps!
This is the updates SW 2026.2.9.9 which includes the revamped intervention menu.
Steven Silwanis@SSilwanis24
@DevinOlsenn Getting 14.3.2 now!! Doesn’t look like it comes with the spring update though.
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@SawyerMerritt Just got FSD 14.3.2 in Texas
Corpus Christi. 94% FSD usage with 12,800 miles
2025 Tesla Model 3 LR RWD.

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@wholemars I wonder what the hold up is… I thought they would’ve sent 14.3.2 wide already
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@wholemars Can’t believe I do 3k miles a month and still have FSD 14.2.2.5
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@wholemars They should push it wide instead of sending to the same 10 people. I drive over 3k miles a month and I’m still on 14.2.2.5
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New release of FSD Supervised now starting to roll out
This update brings 20% faster reaction time to further increase safety, among many other improvements
Full release notes below
Full Self-Driving (Supervised) v14.3 includes
- Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
- Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
- Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
- Mitigated unnecessary lane biasing and minor tailgating behaviors.
- Increased decisiveness of parking spot selection and maneuvering.
- Improved parking location pin prediction, now shown on a map with a (P) icon.
- Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
- Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
- Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
- Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
- Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
Upcoming Improvements
- Expand reasoning to all behaviors beyond destination handling.
- Add pothole avoidance.
- Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
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@elonmusk @wholemars @WR4NYGov I hate that people try to take advantage of Tesla for any reason. That lawyer is actually here in my city Corpus Christi and has another lawsuit with them. Crazy
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@wholemars @WR4NYGov Logs show driver disengaged Autopilot four seconds before crashing
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The media is running a story today about how a Cybertruck “allegedly” crashed on a Texas highway. Spoiler alert, the crash happened while the human driver was in control.
The law firm, which is seeking $1 million, says that last summer Justine Saint Amour was driving her Cybertruck with Autopilot engaged. There’s just one problem — Autopilot is a legacy lane keeping system that never shipped on Cybertruck.
The driver then admits that before the crash they disengaged the system and started driving manually. Indeed, the video shows the truck starting to turn before the driver disengaged and drove into the wall.
Tesla hasn’t officially responded to the lawsuit yet, but available telemetry indicates the driver probably wasn’t paying attention, got startled, and crashed. There doesn’t seem to be any attempt to steer back towards the on-ramp in the video, rather you see the trajectory change from turning with the ramp to driving straight into it.
When you crash your car, people tend to put blame on anyone but themselves. A high profile company like Tesla, with a CEO who is the wealthiest man on Earth? Yeah, they kinds of BS lawsuits happen often.
Let’s wait for more data and discovery to take place, but based on the evidence i’m seeing so far that doesn’t look like something FSD — even an older V13 — would do.


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Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software.
You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind).
This will run very competitively on the super low cost Tesla AI4 ($650) paired with relatively frugal use of the much more expensive xAI Nvidia hardware. And it will be the only real-time smart AI system. This is a big deal.
In principle, it is capable of emulating the function of entire companies. That is why the program is called MACROHARD, a funny reference to Microsoft.
No other company can yet do this.
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The largest wave of Full Self-Driving V14.2.2.2 is now going out to additional Tesla vehicles!
This includes all AI4 models in eligible regions.
Tugg Speedman@Tuggernutz87
Massive FSD wave of 14.2.2.2 just went out @teslascope
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@raines1220 Same and none of the influencers are reporting this.
They’re all repeating that this is the best version yet with no flaws. Very annoying.
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🔥 Tesla FSD (Supervised) v14.2 is now rolling out to the 5th batch of owners, via the 2025.38.9.5 software update.

The Tesla Newswire@TeslaNewswire
🔥🔥 FSD (Supervised) v14.2 is now rolling out to owners via the 2025.38.9.5 software update! The release notes highlight the following change: “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.”
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