snooggums

Well, their products have been going downhill so I suspect that 25% was AI genersted and then their QA is less effective because there are no devs doing unit testing.

Selling AI as a solution for everything is absolutely a lie. Modern snake oil in nearly all the public facing uses.

There are a lot of good uses for AI in science and entertainment as a way to enhance work being done by humans. Pattern recognition for lidsr in finding kist civilizations. Finding exoplanets. Finding new compoubds for medicine and manufacturing.

Hell, there is even some usage for some personal things and LLMs are great at addressing certain people’s hesitation when interacting with computers. But like the prior examples, it can’t solve anything on its own. It must be controlled and thigs like search engines and processing job applications are terrible uses for AI when humans are having trouble doing that thing already.

AI only works for technical work that requires precision when it is doing something humans were already good at. It can do a lot of those things faster, but has to be babysat if the output matters.

That out of the way, FSD sucks, and it’s getting worse, not better. When if first come out of beta it was okay. I remember describing it as driving with a teenager, they got the general idea, but would make bad decisions so you had to watch them. Years of updates later and it’s practically unusable to me. It tries to go way under or over the speed limit, it hesitates or slams on the brakes for green lights. It slams on the brakes for cars that pull out with plenty of gap but doesn’t even notice the risky merges. It can not seem to navigate intersections anymore, damn near stopping in the middle of a turn. It actually just updated yesterday and I tried it again, it took me less than 5 miles to disable it again. It is, in my opinion, a hazard to use. I talked to my partner about it and we both agree it didn’t used to be this bad.

Sounds like it still drives like a teenager!

Which of course is terrible since it should be improving over time.

Elon says a lot of things and they are all bullshit.

The ability to comprehend and make use of knowledge based on changing contexts. An algorithm doesn’t have the ability to understand why it is doing what it does, nor does it have a way to apply itself outside of a predefined context.

AI means Artificial Intelligence.

It means Alpaca Insurance!

Also, that is an algorithm and not intelligence. Logic isn’t the same thing as intelligence.

K

If the cybertruck is so safe in crashes they would be begging third parties to test it so they could smugly lord their 3rd party verified crash test data over everyone else.

Bu they don’t because they know it would be a repeat of smashing the bulletproof window on stage.

“Same as the worst human driver” is a clear statement that humans aren’t perfect…

If it had braked and just couldn’t stop it would be comparable to a person. Continuing at full speed into a solid object on the road is the same as the worst human driver.

If it wasn’t limited to only cameras because Musk is an arrogant jackass then the lidar/rader/other non-camera sensor would have sensed the deer being an object even if the camera didn’t recognize it.

You learned wrong if you think that is a universal rule for all animals.

You might have been told that for small animals like squirrels, but that is more about not overreacting. You should absolutely brake for a deer, whether or not you are being tailgated, just like you would brake for any large object on the road.

Hitting a deer at speed is going to cause far more problems for you AND the people behind you than trying to not hit the deer.

… but some actual technically human people do the same when they see an animal, don’t they?

Not deer…

Tesla claims overall they are better, but they may not be telling the truth. One would think regulators have data for the above - but they are not talking about it.

https://www.reuters.com/business/autos-transportation/nhtsa-opens-probe-into-24-mln-tesla-vehicles-over-full-self-driving-collisions-2024-10-18/

The agency is asking if other similar FSD crashes have occurred in reduced roadway visibility conditions, and if Tesla has updated or modified the FSD system in a way that may affect it in such conditions.

It sure seems like they aren’t being very forthcoming with their data between this and being threatened with fines last year for not providing the data. That makes me suspect they still aren’t telling the truth.

If the confusion gets you to click then that counts as clickbait.

I’m not taking that for granted. If it can’t tell a solid object os in the road, I would guess that would be true for a human that is balled up or facing away as well.

Moose are worse because they are heavier and the impact means most of the body mass goes ibtonthe windshield, but deer go right over hoods and into the windsheild on most cars too.

Deer and other animals are extremely common on rural roads. If they don’t have enough training data then they are being willfully incompetent.

That is because at a distance they freeze in case a predator hasn’t noticed them yet. Theey don’t bolt until they think an attack is imminent, and cars move to fast for them to react.

The front car is probably further ahead than you think, and a deer can move onto the road quickly and freeze when looking at headlights or slow down if confused. I think in this case the deer was facing away and may not have even heard the vehicle approaching so it wasn’t trying to avoid danger.

I avoided a deer in a similar situation while driving last week, and the car ahead of us was closer than this clip. Just had to brake and change lanes.

If tesla also used radar or other sensing systems instead of limiting themselves to only cameras then being in the dark wouldn’t be an issue.