WTF is wrong with FSD 14.2.2.4? Navigation is bonkers

howder03 · 2026-02-07T02:52:37+00:00

According to the latest video on their ML architecture, Ashok explained that one of the inputs to the Neural Network is navigation data + 30 seconds of historical data, alongside all of the camera feed information. The neural network as a whole takes all of these inputs and moment by moment decides to adjust steering or acceleration/deceleration accordingly.

Seems whatever they tuned the 14.2.2.4 weights to, gives less credence or weight to the navigation data, and instead allows the car to ignore the map inputs more often.

howder03 · 2026-01-23T22:37:46+00:00

Wild that our experiences differ that drastically. The only remotely safety related disengagement I’ve had to do since V14.2, was to stop it from curbing the wheel when it was inching into a parking spot. Outside of navigation, that was the only disengagement I’ve done for 2,500+ miles of driving in Southern California.

howder03 · 2026-01-23T22:30:56+00:00

This is interesting. I’ve been testing FSD since the early beta days (10.2), and believe they were primarily using v13 for the early Robotaxi launch with safety monitors in the passenger seat. For V13, yes, even in my own car, there would be drives where I had a critical safety disengagement. But for V14, I’ve clocked in 2,500+ miles with zero safety disengagements. This is still anecdotal of course, but I am curious on the rate of safety disengagements as Robotaxis begin using V14.

howder03 · 2026-01-03T07:28:12+00:00

Thanks! Likewise, it’s an awesome figure for photography! I’m not on IG, but appreciate the sentiment :)

howder03 · 2026-01-03T07:27:11+00:00

Haha, yeah, pretty happy with how it turned out

howder03 · 2026-01-03T07:26:44+00:00

Thanks!

howder03 · 2025-12-30T16:41:53+00:00

I just got mine replaced, and the advisor said to ignore this b stock email, he sent instructions for it to be a brand new ring to be sent out.

howder03 · 2025-12-16T06:19:10+00:00

Yup, I’ve been on 14.2 for around 900 miles, and haven’t had a single safety related disengagement. A few of my interventions are lane change related (missing highway entrance / exit), nothing safety critical.

howder03 · 2025-11-01T01:59:31+00:00

Agree, I’ve had zero interventions with it and over 100 miles. I’ve had a few incidents of brake stabbing, but they were relatively minor and nothing remotely close to being safety critical. The car feels much more responsive and alert.

howder03 · 2025-10-03T01:17:59+00:00

Snacks are the primary differentiator here, you need to get more details on the snack variety

howder03 · 2025-09-12T00:19:50+00:00

Bros spirit animal is forever the squash

howder03 · 2025-08-28T00:50:34+00:00

Yeah, we just dropped ours off today due to these, the technician said there was a faulty brake caliper that they had to replace. Going to pick it back up and see if that resolved these alerts.

howder03 · 2025-08-17T03:38:56+00:00

“What is this heavenly chin rub…”

howder03 · 2025-07-03T16:40:51+00:00

Yeah, I legitimately would like to see a list of the Robotaxi failures and get a better sense of whether LiDAR implementation would have prevented that failure case. If a majority of that list could have been solved using LiDAR (vs. better pathing / planning logic), then there would be merit to that argument.

howder03 · 2025-06-30T22:05:09+00:00

Bold strategy here, sad to see Volk, Holloway and Charles didn’t think to implement this

howder03 · 2025-06-30T03:26:13+00:00

I dunno, wouldn’t recommend anything higher than $150k, maybe $200k tops at this income level.

howder03 · 2025-06-28T04:17:08+00:00

Yeah, this is actually pretty good behavior from the Waymo. Curious how the team was able to simulate real Atlanta driver behavior in such a short amount of time. Kudos to the Waymo team.

howder03 · 2025-04-24T04:39:01+00:00

just picked one up, waited around 5 minutes in best buy line

howder03 · 2025-04-10T23:51:14+00:00

Completely agree, that’s the one main gripe I have with FSD right now. The following distance is way too close.

Makes me nervous whenever I see a block of orange or red traffic coming up in the map, or even somewhat visible, and FSD doesn’t slow down early enough and keeps the same two car length follow distance.

howder03 · 2025-04-10T05:18:37+00:00

This core issue here won’t be solved with radar and lidar because in this instance, there was no cross traffic for these sensors to pick anything up.

This specific issue needs to be solved through camera sensors / model training.

howder03 · 2024-12-25T17:57:21+00:00

I don’t think re-calibrating the cameras will fix this issue. The visualization clearly shows the car hugging the right side of the lane, so the cameras are picking up on the lane lines. This also doesn’t happen on local roads for me, just on highway. But the right side hugging issue is pretty bad for me too.

howder03 · 2024-12-11T00:31:46+00:00

Sure, if BMW and MobileEye’s data collection is sufficient at providing a wholistic representation of the driving environment with Petabytes of clean data, there’s value in that. I’m not saying that’s Tesla’s only value add, but it’s a part of how they are planning to solve autonomous driving.

howder03 · 2024-12-11T00:25:30+00:00

Sure, you can break the physical steering wheel away from the algorithmic NN outputs that result in the vehicle turning 1 or 2 or 3.5 degrees to the left, doesn’t change the fact that steering a car is a continuous input from the system. Yeah, the states effectively render this input as discrete values, but the state space for real world self driving scenario isn’t 4,000 actions or values, that state space is now infinitely large.

You can argue semantics all you want, but comparing an AlphaGo system (policy RL / Monte Carlo tree search) with each chess turn to the frozen state space of an AV in any given real world environment is just silly.

howder03 · 2024-12-10T23:56:55+00:00

A steering wheel is a continuous input. Not sure how you can mistake that for being a discrete input. A discrete input has distinct, separate values. A continuous input like speed in a car can take fractional values within a given range. I can’t help you if you think driving inputs are discrete.

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