Ask HN: Company is rapidly cutting AI tool spend how to prep team?
4 pointsby Snakes37272 hours ago4 comments
  • xvxvxan hour ago
    My own company hired a young goon of a man to spearhead their AI initiative. Lots of smiles and arrogance from him. Fast forward 2 months and reality has hit. Weekly meetings asking for feedback draw blank stares as employees explain that Claude can’t do shit to help their workload. This kid is starting to sweat. I bet he’ll be gone by the summer. Hilarious.
    • Snakes3727an hour ago
      Unfortunately at my company leads have no insight into employees claude code caps, and no one has ever complained until now. Apparently some people were basically running with insane caps on CC (25k+), if you asked for it you were approved. Which lead to some people doing insane things on CC for no purpose.
      • baigyan hour ago
        Just setting up better SOPs around using AI for coding is going to help them a ton. They can chalk off the sunk cost to a "learning phase", with now being the time to use the lesson learnt to formulate some future-looking standard operating procedures. No need to suddenly go cold-turkey on AI. My 2 cents.
  • baigy2 hours ago
    Specifically: to explore your opensource options with compute limitations, ask the community at r/LocalLLaMA on reddit. That's where the current SOTA opensource text-to-text models live.
    • Snakes3727an hour ago
      Yeah i was looking there earlier, its just we thankfully mostly have macbooks, but i recently found out new devs are getting the smaller 8gb ram macbooks as well. Which is going to be even more frusturating.

      Since my team is mostly remote running LLM on a cluster in the office is not really viable short term.

      • baigyan hour ago
        This is totally going to suck, but here's one option I was just suggested a few mins ago: https://www.reddit.com/r/LocalLLaMA/comments/1th1mqx/comment... For context, I was asking about running anything OpenClaw-friendly on my RTX4060 8GB VRAM. I know yours is a more involved use-case, but there's still some optionality here.
  • itg2 hours ago
    The 16GB of RAM will really limit you, what about trying OpenRouter and using the cheaper models such as Kimi instead of running them locally?
    • Snakes3727an hour ago
      Given our field we cannot really use anything not approved by management. Pretty much if it doesn't leave our machine we can use its just i don't find anything good. We even have some new devs on the macbook neos, and i can't even find anything for them.

      I was considering having something run locally within out building but the time when something like that would be avaliable is not near term so i am trying to make the best of what i can do.

  • kakazan hour ago
    [dead]