4 ms·

OpenAI's investor pitch a year ago was that they would make $1B in revenue in 2024, so it seems they are exactly on track. Not sure what the shatters bit is abo

OpenAI's investor pitch a year ago was that they would make $1B in revenue in 2024, so it seems they are exactly on track. Not sure what the shatters bit is about, especially given that the submission strangely validates it by comparing with 2021 revenue.

strangattractor 3y ago
I guess they left out the part about it costing $4 billion dollars to achieve it:) (FYI: I made up that number for dramatic effect)
- PartiallyTyped 3y ago
  I mean, if their inference costs are 700k per day, we are at approx 256M per annum. Which puts that part of the operational cost maybe 1/8th of revenue. So where did the other 4bn go?
  - brigadier132 3y ago
    Training and salaries
    - strangattractor 3y ago
      Hey - For the record - I just made that number up.
      - shwaj 3y ago
        You might want to make that clear by editing the original post.
      - jl6 3y ago
        Too late - it's already part of the training data.
        FreshStart 3y ago
        4 gazillion bijillions
        MichaelZuo 3y ago
        Now that you mention it, maybe incorrect training data has adversarial advantages? Boosting the ability to separate the wheat from the chaff.
    - Melting_Harps 3y ago
      > Training and salaries Defintely not, take a look at the dark part of re-enforced learning [0]; this is a digital sweatshop these mega corps are exploiting to refine their algos. I was going to try GPT4 today to see if it is really that big a of a leap from 3.5/ChatGPT, but to be honest this announcement makes me think that their revenue stream isn't from the paid subscriptions, it was down and while people complained it wasn't anywhere near what I'd expect for such a wide-scale outage. I still cannot piece together how they are making any revenue if thier overhead is as 'eye-watering' as Altman made it out to be. Surely the M$ deal helped with that, but still where is this money coming from and is this just more smoke and mirrors to keep the hype up? 0: Training and salaries
      - Melting_Harps 3y ago
        0: https://www.washingtonpost.com/world/2023/08/28/scale-ai-remotasks-philippines-artificial-intelligence/ https://www.washingtonpost.com/world/2023/08/28/scale-ai-rem...
  - TuringNYC 3y ago
    Cap-Ex
deleted 3y ago
[deleted]
skizm 3y ago
I would guess most people expect those numbers to be heavily inflated and mentally adjust expectations. If a company hits their "expected" numbers like this, as an investor, I'd consider my expectations shattered.

strangattractor 3y ago

I guess they left out the part about it costing $4 billion dollars to achieve it:) (FYI: I made up that number for dramatic effect)

PartiallyTyped 3y ago
I mean, if their inference costs are 700k per day, we are at approx 256M per annum. Which puts that part of the operational cost maybe 1/8th of revenue. So where did the other 4bn go?
- brigadier132 3y ago
  Training and salaries
  - strangattractor 3y ago
    Hey - For the record - I just made that number up.
    - shwaj 3y ago
      You might want to make that clear by editing the original post.
    - jl6 3y ago
      Too late - it's already part of the training data.
      - FreshStart 3y ago
        4 gazillion bijillions
      - MichaelZuo 3y ago
        Now that you mention it, maybe incorrect training data has adversarial advantages? Boosting the ability to separate the wheat from the chaff.
  - Melting_Harps 3y ago
    > Training and salaries Defintely not, take a look at the dark part of re-enforced learning [0]; this is a digital sweatshop these mega corps are exploiting to refine their algos. I was going to try GPT4 today to see if it is really that big a of a leap from 3.5/ChatGPT, but to be honest this announcement makes me think that their revenue stream isn't from the paid subscriptions, it was down and while people complained it wasn't anywhere near what I'd expect for such a wide-scale outage. I still cannot piece together how they are making any revenue if thier overhead is as 'eye-watering' as Altman made it out to be. Surely the M$ deal helped with that, but still where is this money coming from and is this just more smoke and mirrors to keep the hype up? 0: Training and salaries
    - Melting_Harps 3y ago
      0: https://www.washingtonpost.com/world/2023/08/28/scale-ai-remotasks-philippines-artificial-intelligence/ https://www.washingtonpost.com/world/2023/08/28/scale-ai-rem...
- TuringNYC 3y ago
  Cap-Ex

deleted 3y ago

[deleted]

skizm 3y ago

I would guess most people expect those numbers to be heavily inflated and mentally adjust expectations. If a company hits their "expected" numbers like this, as an investor, I'd consider my expectations shattered.