783
OpenAI could reportedly run out of cash by mid-2027 — analyst paints grim picture after examining the company's finances (www.tomshardware.com)
submitted 2 weeks ago by to c/technology@lemmy.world
201 comments fedilink hide all child comments
 

cross-posted from: https://toast.ooo/post/12317935

you are viewing a single comment's thread
view the rest of the comments
[–] 5 points 2 weeks ago (2 children)

I think they could significantly lower their costs if they turn their focus away from the race to "AGI." But, their valuations don't really make sense unless investors believe they will achieve AGI.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 4 child comments
    •
  • [–] 4 points 2 weeks ago

    I was there when the "Neural Networks" idea started. They thought they could program NNs to achieve AGI. Now they think they can do it with LLMs. But LLMs are just parrots with a large dictionary. They won't reach that point, either. An LLM is way too much rooted in words to be able to think.

  • permalink
  • fedilink
  • source
  • parent
  • [+] -6 points 2 weeks ago (3 children)

    Recent models are quite good. Like gpt 5.6 sol. Even better than mythos 5.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 6 child comments
    •
  • [–] 12 points 2 weeks ago (2 children)

    How is this a response to a comment about AGI?

    LLMs are not currently, nor ever will be, anything remotely resembling AGI. AGI is still entirely within the realm of science fiction, like teleportation or time travel.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 4 child comments
    •
  • [–] 1 point 2 weeks ago

    That's true. I'm just saying the models do get better and are quite impressive now.

    But whatever the term means. I know where AGI stands for, but the term "agi" is still very vague. You can't compare a machine llm model with the human brain.

  • permalink
  • fedilink
  • source
  • parent
  • [–] 4 points 2 weeks ago

    The "best" one I've tried is the latest Opus. I don't trust any of them to use for real work, so I mostly just play around with a local Qwen 3.6 27B or Deepseek v4 Flash. I have heard OpenAI's latest models produce less bloat than Anthropic's.

    I should say I do find LLMs useful as a kind of search agent (both web and large unfamiliar code bases). And GhidraMCP is pretty cool (maybe just because I don't have much experience with reverse engineering).

  • permalink
  • fedilink
  • source
  • parent