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If I recall correctly, Karpathy during one of the Tesla AI talks addresses this and said that keeping data labeling in-house was an advantage because it could b

by gwern 4y ago

If I recall correctly, Karpathy during one of the Tesla AI talks addresses this and said that keeping data labeling in-house was an advantage because it could be integrated more tightly into their processes with better customization & turnaround etc. Firing most of their data-cleaning & labeling capacity isn't going to be good for their car efforts, but I suppose if things are that bad at Tesla now, it's better to fire to cut expenses to the bone, and rehire much later once the storm is past...

MontyCarloHall 4y ago
The Tesla bull will say that Tesla’s ML has gotten so good that these top-shelf human curators are now unnecessary, and can be outsourced or dispensed with entirely. The Tesla bear will counter that this is merely to keep up appearances; it looks a hell of a lot better to fire data curators over machine learning engineers, even if the former are still just as (if not more!) necessary as the latter.
- MattRix 4y ago
  They still have a lot of human curators (Elon said they have over 1500 in a recent interview). I imagine that these cuts are for some category of labeling that has become redundant.
  - DoesntMatter22 4y ago
    This is really the most realistic answer. As they get closer and closer to FSD (and it is quite close now), they will need fewer and fewer people.
    - user_named 4y ago
      How do you know its close?
      - MattRix 4y ago
        You can watch user videos of it in action on YouTube. It improves with (nearly) every patch and often requires minimal or no user interventions. It still sometimes makes very bad mistakes though so I don’t think it’s as close as the previous poster does. But I think in the next year or two it could be good enough for many cities during clear weather.
        misiti3780 4y ago
        As someone using FSD Beta, I concur that it is getting significantly better with every new over the air update.
- andsoitis 4y ago
  > The Tesla bear will counter that this is merely to keep up appearances I would be very surprised if Tesla optimized for optics here.
- ddmma 4y ago
  Not to mention the release of Tesla bots due to September event.

by gwern 4y ago

MontyCarloHall 4y ago

The Tesla bull will say that Tesla’s ML has gotten so good that these top-shelf human curators are now unnecessary, and can be outsourced or dispensed with entirely. The Tesla bear will counter that this is merely to keep up appearances; it looks a hell of a lot better to fire data curators over machine learning engineers, even if the former are still just as (if not more!) necessary as the latter.

MattRix 4y ago
They still have a lot of human curators (Elon said they have over 1500 in a recent interview). I imagine that these cuts are for some category of labeling that has become redundant.
- DoesntMatter22 4y ago
  This is really the most realistic answer. As they get closer and closer to FSD (and it is quite close now), they will need fewer and fewer people.
  - user_named 4y ago
    How do you know its close?
    - MattRix 4y ago
      You can watch user videos of it in action on YouTube. It improves with (nearly) every patch and often requires minimal or no user interventions. It still sometimes makes very bad mistakes though so I don’t think it’s as close as the previous poster does. But I think in the next year or two it could be good enough for many cities during clear weather.
      - misiti3780 4y ago
        As someone using FSD Beta, I concur that it is getting significantly better with every new over the air update.
andsoitis 4y ago
> The Tesla bear will counter that this is merely to keep up appearances I would be very surprised if Tesla optimized for optics here.
ddmma 4y ago
Not to mention the release of Tesla bots due to September event.