• I expect that many companies will realize that an LLM is a tool that can help with certain tasks, but cannot fully replace most workers because there is a ton of context in people’s jobs that cannot be condensed into language. Similarly, many companies are now realizing with token-based pricing that frontier LLMs are not cost effective in many applications. You shouldn’t have a natural gas fired data center in Tennessee running a model to proofread your emails. You can have a local model do so MUCH more cheaply. This will leave the speculative data center companies holding the bag on a lot of hardware and capacity that is not actually needed.

  • 3 hours

    Who did not know this already?

    The real issue is that nobody seems to care… I mean, the biggest IPO in history just took place, valuing SpaceX (which was in reality a tiny bit of SpaceX, entirely composed of Grok) at almost 2 TRILLION dollars after they showed a 5 BILLION loss in the last quarter

    Reality is for suckers I guess

    • 2 hours

      It’s not news that they are losing money, but it is news that they are losing tremendously more money than they were previously losing.

      • It does weaken the argument that scaling up is the path to profitablity, but of course they’ll just claim more money and scaling is the way to go. If the market remains manic they can get away with it.

    • 2 hours

      “Actually, this is good news, as the amount of money lost shows how much money they have gotten. This means they are very good at getting money.”

  • All aboard the hype train 🚂. Next stop hypeville. Final destination… Who gives a shit.

  • 3 hours

    I always thank the LLM and ask if it wants a cup of tea. Is this my fault?