Skip to content
linux-nerds.org

linux-nerds.org
  1. Übersicht
  2. Technology
  3. Article does not actually answer why Tesla vehicles crash as much as they do.

Article does not actually answer why Tesla vehicles crash as much as they do.

Technology
7 6 2
Anmelden zum Antworten

  • K

    No, it isn't "mostly related to reasoning models."

    Technology
    1
    2 Stimmen
    1 Beiträge
    0 Aufrufe
    Niemand hat geantwortet
  • toes@ani.socialT

    Paywall article :(

    Technology
    2
    0 Stimmen
    2 Beiträge
    0 Aufrufe
    T
    https://archive.is/2025.07.07-184834/https://www.theverge.com/analysis/699541/epic-games-settle-samsung-auto-blocker-lawsuit
  • lostwanderer@fedia.ioL

    Another Anthropic stunt...It doesn't have a mind or soul, it's just an LLM, manipulated into this outcome by the engineers.

    Technology
    10
    45 Stimmen
    10 Beiträge
    0 Aufrufe
    K
    But the training corpus also has a lot of stories of people who didn't. The "but muah training data" thing is increasingly stupid by the year. For example, in the training data of humans, there's mixed and roughly equal preferences to be the big spoon or little spoon in cuddling. So why does Claude Opus (both 3 and 4) say it would prefer to be the little spoon 100% of the time on a 0-shot at 1.0 temp? Sonnet 4 (which presumably has the same training data) alternates between preferring big and little spoon around equally. There's more to model complexity and coherence than "it's just the training data being remixed stochastically." The self-attention of the transformer architecture violates the Markov principle and across pretraining and fine tuning ends up creating very nuanced networks that can (and often do) bias away from the training data in interesting and important ways.
  • B

    Tesla’s garbage quality is sadly hurting the entire EV and self driving industry.

    Technology
    2
    1 Stimmen
    2 Beiträge
    0 Aufrufe
    ulrich@feddit.orgU
    We'll never have self-driving cars en masse, because for some reason society has accepted that humans make mistakes and sometimes people die, but they can't do the same for robots, even if they make far fewer of them.
  • tonytins@pawb.socialT

    Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes

    Technology technology
    81
    1
    617 Stimmen
    81 Beiträge
    0 Aufrufe
    cosmicturtle0@lemmy.dbzer0.comC
    I think what makes enshittification is "give users less and charge more". It's about returning shareholder value instead of customer value. Netflix is a great example. They have pulled back on content, made password sharing more challenging, and increased cost. They still report increases in paying users. They've done the math. They know they can take lost in users because they know they'll make up for it. That's the sad part in all of this.
  • E

    AI agents wrong ~70% of time: Carnegie Mellon study

    Technology technology
    54
    1
    346 Stimmen
    54 Beiträge
    0 Aufrufe
    M
    and doesn't need to be exactly right What kind of tasks do you consider that don't need to be exactly right?
  • D

    Study finds smartphone bans in Dutch schools improved focus

    Technology technology
    55
    353 Stimmen
    55 Beiträge
    27 Aufrufe
    D
    Based on what data?
  • gandalf_der_12te@discuss.tchncs.deG

    Solar + Battery (covering 97% of demand) is now cheaper than coal and nuclear

    Technology technology
    100
    582 Stimmen
    100 Beiträge
    76 Aufrufe
    B
    No, LCOE is an aggregated sum of all the cash flows, with the proper discount rates applied based on when that cash flow happens, complete with the cost of borrowing (that is, interest) and the changes in prices (that is, inflation). The rates charged to the ratepayers (approved by state PUCs) are going to go up over time, with inflation, but the effect of that on the overall economics will also be blunted by the time value of money and the interest paid on the up-front costs in the meantime. When you have to pay up front for the construction of a power plant, you have to pay interest on those borrowed funds for the entire life cycle, so that steadily increasing prices over time is part of the overall cost modeling.