this post was submitted on 02 Nov 2024
941 points (96.5% liked)

Technology

60062 readers
3727 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 2 years ago
MODERATORS
 

"Translation: all the times Tesla has vowed that all of its vehicles would soon be capable of fully driving themselves may have been a convenient act of salesmanship that ultimately turned out not to be true."

Another way to say that, is Tesla scammed all of their customers, since you know, everyone saw this coming...

you are viewing a single comment's thread
view the rest of the comments
[โ€“] [email protected] 5 points 1 month ago (1 children)

I don't believe that you can use traditional algorithms to teach the car street driving, because there are to many different variations of intersections, traffic signs, special conditions like accidents, heavy Rain or fog, road closures or construction sites to get it right every time. Even if your autopilot is 99% correct and you drive 20000km a year, you still drive wrong 200km of it.

This doesn't mean that AI will be better, because then you don't even have a source code to track down where it went wrong to correct it in future updates.

[โ€“] [email protected] 1 points 1 month ago* (last edited 1 month ago)

I don't believe that you can use traditional algorithms to teach the car street driving, because there are to many different variations... Even if your autopilot is 99% correct and you drive 20000km a year, you still drive wrong 200km of it.

Exactly!

And this is why, if the problem is solveable, it must be solved by learning models shepherded by expert engineers. The LLMs can take care of the long boring stretches, freeing skilled engineer time to fine-tune an LLM algorithm hybrid for the tricky bits.

I'm inclined to believe the problem is solveable, but since I'm not selling anything, I'm allowed to say "if". Heh.