Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.

Spent many years on Reddit before joining the Threadiverse as well.

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Cake day: March 3rd, 2024

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  • Whether inference is profitable or not is not a global yes/no question. It depends heavily on the circumstances, what you’re using it for and what you’re charging for it. A lot of the money being invested in research right now is going into making inference cheaper, which would of course make it more profitable to sell at current price points. Or just run it yourself, local models are getting quite capable these days.

    I wouldn’t bet on any specific company being the ones to survive this, especially not first-movers like OpenAI. More likely they’ll spend their money blazing the trail and the ones to profit from it will be the ones who followed along behind. When a company goes bankrupt it doesn’t poof out of existence, its assets get sold off at pennies on the dollar and then whoever bought those assets gets a chance at running them without the overhead of the previous company’s debt.


  • FaceDeer@fedia.iotoTechnology@lemmy.worldIs AI Profitable Yet?
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    9 days ago

    This seems somewhat misleading. Lots of products take a lot of investment in them for many years before they reach profitability. The Boeing 787 Dreamliner, for example, was in development for 7 years and another three years after that before it was profitable. The Falcon 9 rocket took 13 years to develop and now it’s the most profitable satellite launcher around. The Dyson bag-free cyclonic vacuum cleaner took 15 years to develop.

    Most of this AI stuff has only been in heavy development since ChatGPT burst upon the scene in 2023. It’s not unreasonable to see the industry still heavily into the investment and development side of things.











  • While the current splashy “state of the art” models in terms of cognitive ability are American, IMO the real foundation for future AI is coming out of China these days. It’s not quite as smart but they’re focusing heavily on making AI training and inference cheaper in terms of compute (and therefore more efficient in terms of energy usage). It’s a mother-of-invention situation, sure - they’ve been cut off from the latest and greatest NVIDIA cards so they’re having to find ways to make do with less powerful hardware. But that’s going to be super important once AI is “good enough” for various real world tasks and the most powerful models aren’t needed for most activities.