I believe that. I'm no expert. My undergrad engineering degree did focus on robotics, but it had nothing to do with AI. Plain ol programming & control systems.
I LOV when people just throw around L3, L4, L5, like it is just a series of baby steps.
So we just took a trip up to BB using FSD 14.1.3 on the way up and installed FSD 14.1.4 while at BB and then all the way home. Well over 1000 miles of driving. I literally hardly ever had to intervene the entirety of the time we were up in BB - including multiple day trips to Fort Ticonderoga, Burlington VT, Woodstock VT, etc. Keep in mind this is mostly rural mountainous driving with windy back roads with fading paint (in some cases no paint at all), bad lighting, fall foliage season (leaves all over the place), etc. Literally not a single critical safety intervention the entirety of over 1000 miles - and in most cases - the vehicle not only drove itself everywhere - but parked at the conclusion of each drive in a parking space with, again, zero intervention. I had a few what are termed "encouragements" where I hit the go pedal a few times because the system was being overly cautious - it's still an early release version of v14.1.x - so this is to be expected - and I came across a couple of edge cases where I had to intervene - like the dirt parking lot at Fort Ticonderoga - where FSD wasn't sure what to do. The edge cases are almost myriad in number and difficult to train on. I'd say we're solidly at L3 now with FSD v14. This is all because Tesla has six billion miles of real-world data to train the neural networks, and synthetic data to train on RL for edge cases. Show me another system in place, right now, that can come anywhere close to this and do so without geofencing and ultra-high-definition mapping (which is what every other system is using to get around gaps in their real-world datasets today - and why systems like Waymo can only function within certain geofenced areas). My argument is based on real world experience, using a real-world system that we literally use in our vehicle every day. My wife literally uses FSD 14.1.4 every day to drive back and forth to work. Literally door to door now - parking and everything. The only thing FSD won't do for us - is pull into our garage at home - it parks in our driveway at present - and tries to back into the garage space - but we have two individual garage doors - and it's just not quite there yet when attempting to pull into a two car garage with older smaller garage doors (8x7 not 9x8 like most newer homes have now) or back into a single garage space - it's trying every day though. My buddy in comparison has a single car garage - and it pulls right into it every time - zero issues - and backs out of his garage every time - zero issues. FSD pulls right out of our garage bays though - zero issues. So we're halfway there already. That's pretty impressive really. I suspect by 14.3 it'll have it figured out when "reasoning" is added into the FSD NN stack with respect to my garage configuration. FSD v13.2.9 was lacking what I'd term "last mile" type edge case management. FSD v14.x largely resolves these last mile items. IMHO we are solidly in L3 territory right now with FSD v14.x - whether Tesla pursues this officially or not remains to be seen. I'd personally rather they certify FSD v14 as L3 so I can stop having to pay attention when driving - and only get my attention when really needed.
Hardly ever means it's not ready for L3. In L2 you're liable for an accident, in L3 the car is liable.
No, that's not accurate. With L3, it's driving the vehicle until it comes across an issue where it requires human intervention, at which point the system requires the human driver to take over. This is how FSD v14 is really behaving today already, whether Tesla ever decides to pursue this officially or not is another matter. If Tesla were to pursue L3 certification, then the attention monitoring would only be required when the vehicle indicates it requires human intervention, per the chart below (red emphasis mine):
Do you think the press would let some vague engineering doc rule their lives? Suuuuuuuuuuuuuuuuuuuuuuuuuuure.
Young journalist faced with finding out what SAE means
Nvidia's system will operate in Blizzards, Hurricanes, Earthquakes, Tornados, Derechos, Tsunamis, Zombie Attacks, and Political Unrest
A definition by an international organization is not the same as determining legal liability in the place you drive your vehicle (ex. Delaware).
Since Nvidia's system hasn't actually been deployed in the real world by anyone, it's easy to make claims. Waymo said the same thing years ago with their system, which is effectively the same as the NVidia's architecture, and have yet to be able to deliver on those claims. I'll take real world results over theoretical claims every day and twice on Sunday.
Please provide a link to your source.
Did I really need to put a sarcasm alert on that post
NHTSA has endorsed the SAE J3016 standard directly - and bases their autonomous driving policies and resultant categorizations and related decisions directly based upon J3016, as is clearly evidenced by the NHTSA website itself here: https://www.nhtsa.gov/vehicle-safety/automated-vehicles-safety
Learn to use emoticons - they exist for a reason LOL. Words are often tone deaf - hence the reason emoticons were created in the first place.
NHTSA current guidelines: https://www.nhtsa.gov/sites/nhtsa.gov/files/2025-04/third-amended-SGO-2021-01_2025.pdf
Read the guidelines I posted above. NHTSA has been moving away from SAE definitions for completely autonomous driving for years as they don't provide the specificity required to classify vehicle accidents and liability determinations.
Learn to use emoticons - they exist for a reason LOL. Words are often tone deaf - hence the reason emoticons were created in the first place.
I found the emoticons
Straight from the PDF document you provided, and I quote - for L3:
Which one is best to signal sarcasm
- raised eyebrow 
- wink
- wink/tongue in cheek
- inverted smiley indicates irony/joking sarcasm
Yes, from what I've read, and I've read quite a bit - until the insurance, legal, and government regs catch up - L3 systems will use the same insurance structure that's in place today. Newer online insurance companies like Lemonade, are moving toward offering insurance plans that obtain the FSD vehicle usage data via the Tesla APIs - and will offer heavily discounted rates when the car is using FSD as opposed to the human driving. Tesla FSD safety data, which is published quarterly, already shows that autopilot usage is roughly 9x safer than a human driver from a "xxxxx miles per accident" statistical standpoint:
www.teslarati.com
