My complacency battle is when I disengage to change a lane or avoid a pothole, then I think FSD is driving. I intend to engage but miss the the button or just forget. This is usually when I am otherwise distracted as well.
The ability to multitask, daydream etc. while supervising FSD is wonderfully and enticing. FSD is getting soo good that it is easy to forget it still only has a learners permit.
I have been the meat popsicle of the long drawn out bottom of the S curve of FSD for 5 years.
Today is Jan 1, 1980 in Lake Placid NY. It is going to be a wild ride as word spreads about how the miracle of FSD will change the world.
People wonder if FSD is safe on narrow European roads. Well have a look what it did when a tractor took up more than half of the road or when overtaking bicycles with fast oncoming traffic.
YES!
When I pickup a Comfort Rider I open the door, offer water, climate and music control and whatever else I can to earn a "Thank you, this was the best rideshare experience I have ever had".
@signulll I support this tech and have had FSD in my old Tesla, but my experience is posters on X get driven by the worst of the worst rideshare drivers. This is fixed by selecting comfort, or for some, uber black.
I can verify.
As a rideshare driver using a Tesla w/FSD & a Super Grok sub, my observation of a passengers typical eye opening experience is ...
1. "This is my first time in a Tesla. It is a realy nice car". Then I see that they are trying to digest the info on the display.
2. After about 10 minutes when I tell them..."Are you kidding me, you are really NOT driving?" (Discussion about how far FSD has come in the last year.)
3. I then ask "Would you like to meet her?"
"Uh, ok sure?".
"Ara, introduce yourself to Chris and tell us what is interesting about our destination."
...At the end of the ride, the typical comment I get is..."Holy crap, I had no idea. This was the best ride I have EVER had." I reply "I get that a lot. 1. She is pretty, 2. a really good driver 3. and smart/funny as he'll.
I’m not a coder despite the u/n, but people talk up Claude or Gemini, but when you need general or new information or even something as simple as quickly reformatting data, or most importantly having @grok talk shit to your friends when you’re giving them a ride home, I personally consider @grok to be the best.
@congressdj@teslascope@Tesla_AI@yunta_tsai Why won't or can't Grok converse with me while the music plays? My wife better tolerates my mansplaining while multitasking her audio processing cores.
Aujourd'hui grosse discussion avec mes ingés (chez Argil) sur pourquoi Elon a viré le LIDAR de ses voitures autonomes. Choix radical, moqué pendant des années, et comme d'hab il avait raison depuis le début.
Le LIDAR c'est un laser qui balaye l'environnement et crache un nuage de points 3D. Sur le papier tu obtiens la géométrie exacte du monde. Dans la vraie vie c'est une verrue technologique collée sur le toit parce qu'on sait pas faire mieux avec la vision seule.
Problème numéro un : ça rajoute une modalité dans le training du modèle. Ton réseau doit apprendre à fusionner vision + lidar + radar + ultrasons. Chaque capteur en plus c'est une source de désaccord à arbitrer, pas une source d'info supplémentaire. Sensor fusion artisanale = dette technique permanente.
Problème numéro deux, la bitter lesson de Rich Sutton : scaler le compute sur une seule modalité bat systématiquement les architectures bricolées à la main. Tesla a dropé le radar, puis les ultrasons, est passé full end-to-end vision. Leur courbe sur les edge cases s'est accélérée APRÈS, pas avant. Waymo fait l'inverse et reste stuck en ops géofencée.
Problème numéro trois, le plus fondamental : le LIDAR voit la géométrie, pas la sémantique. Il sait qu'il y a un truc, pas ce que c'est ni ce que ça va faire. Les derniers 9 de fiabilité sont des problèmes de cognition, pas de perception brute. Un capteur de plus résout rien, il ajoute du bruit.
Sébastien Loeb balance une 208 T16 à 180 dans un chemin boueux corse sous la pluie avec zéro LIDAR. Deux yeux, un cerveau. L'évolution a donné des yeux aux prédateurs pendant 500 millions d'années, pas des lasers. Il y a une raison.
Le LIDAR c'est l'équivalent du marxisme appliqué à l'économie. Une solution planifiée, centralisée, qui prétend modéliser explicitement ce qui doit émerger d'un système distribué et adaptatif. Tu remplaces l'intelligence par de la mesure, la compréhension par de la donnée, l'émergence par le contrôle. Ça rassure les ingénieurs qui veulent tout spécifier en amont, exactement comme la planif rassurait les économistes soviétiques. Et ça échoue pour les mêmes raisons : la réalité est trop riche pour être capturée par un capteur, comme elle est trop riche pour être capturée par un plan quinquennal.
La vraie intelligence, celle de Hayek comme celle de Tesla, c'est de faire confiance à un système qui apprend de l'expérience plutôt que de tout pré-encoder. L'élégance d'une solution c'est son rapport signal sur complexité. Le LIDAR explose le dénominateur.
Défendre le LIDAR en 2026 c'est préférer empiler des hacks plutôt que résoudre le vrai problème. C'est de la feignasserie intellectuelle maquillée en rigueur d'ingénieur. Les mêmes gens qui défendaient les systèmes experts en 2012 contre le deep learning. Ils finiront pareil.
Never bet against end-to-end. Never bet against la simplicité. Never bet against Elon.
I came to the same conclusion (I did NOT expect that).
Upon a quick credibility check, I currently believe that this IS a case where an ICE agent crossed a line, illegally and improperly took threatening action upon an innocent without RAS. He must be investigated and if confirmed, he must be held accountable....for science and integrity.
People should actually listen to what the charges are and what they are for.
The arrest warrants are for individuals who happen to be ICE agents who were not acting in their capacity as a federal law enforcement officer.
The victims weren't illegal aliens that they were pursuing...Just someone who pulled half-way into the shoulder of the highway to prevent a vehicle passing traffic on the shoulder and later had a gun pointed at them by the agent.
Since he wasn't acting in his capacity as an agent he doesn't enjoy the protection of being a federal agent in this instance.
It actually has absolutely nothing to do with his job or ICE, so it's really a nothing-burger, but I'm sure the DA will try to portray it as "going after ICE".
@charise_lee Why don't we just put the "Cloud" in the clouds? Better yet put the "Cloud" above the clouds where people can't see them and wildlife is not disturbed. If they are high enough to be outside of the politicians jurisdictions, they can't be wield their influence for favors.
LOL. In this context...
Rideshare = Tic-Tak-Toe.
Autonomous Driving = Checkers.
Ara (Grok) building the trust = Chess.
The only question left is will Uber = Kodak, Blackberry or the PBX?
Uber’s CEO just tried to put a leash on Elon Musk.
He called it a strategy.
Dara Khosrowshahi: “We think that we will facilitate more autonomous and robotaxi rides than anyone else in the world.”
One word buried the whole pitch.
Facilitate.
Not build. Not own. Not solve what every physicist and engineer in Silicon Valley spent a decade swearing was impossible.
Facilitate.
Then he addressed Tesla directly.
Dara Khosrowshahi: “When the day comes that those Teslas are safe… we’d love to have those Teslas on our platform. But there are plenty of other partners in the space.”
Plenty of other partners.
He did not speak about Tesla like a civilizational force.
He spoke about them like a fleet vendor who might not make the cut.
This is how middlemen die.
They mistake owning the app for owning the board.
Uber looked at full autonomy and saw a plugin. Something to route, tax, and collect rent on.
Elon Musk does not build plugins.
He is burning billions to solve real-world vision without maps, without lidar, without a single crutch the industry said was mandatory.
The hardest AI problem in human history.
Uber’s entire strategy is a tollbooth at someone else’s finish line.
Then Dara said something that gave it all away.
Dara Khosrowshahi: “We’ve got tens of thousands of Teslas on our platform now, and some of our drivers use FSD.”
Read that again.
Uber’s own drivers are running Tesla’s neural net on live routes right now.
Every shift they complete is a training run.
Every mile they log sharpens the model.
Every fare they collect is edge case data Musk did not have to pay for.
Uber is funding its own execution.
The human driver is the scaffolding.
They are teaching the machine that will dissolve them, one ride at a time.
Dara believes he is in control because he owns the routing layer.
Routing is a road.
Intelligence decides where roads get built.
When you own the intelligence, you don’t negotiate the toll.
You build a new road.
Dara is optimizing a tollbooth on a road Elon is about to delete.
The app doesn’t lose.
It stops making sense.
The car comes. No driver. No platform. No fare.
Just the destination.
That’s not disruption.
That’s an obituary.