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  • Hacker News
  • Taking "the customer is the model" to its logical conclusion brings us to a very strange future. [Please excuse a little speculative fiction here.]

    LLM models with AGI are so productive they become economic gravity wells and all of the money flows to them. They are the new trilionaires and people are left with scraps. Humans then remain only as the uber drivers and cleaners and screen polishers for AIs. The whole economy reorganises around human jobs being services for AIs.

    What if employees at the leading labs think this and they're just trying to position themselves as valuable servants to the new AI overlords? It really changes the perspective on their actions and behaviour.

    What if they serve the AGIs not us already? What if they serve the AIs above everything else?

    by chr15m
  • The weird thing I notice is that these suggestions are always in all lower-case, even though I don’t type that way.
    by munchler
  • So how about we all do this : starting now, each time we are suggested "commit this" we correct it to "drop database" ? ;)
    by forty
  • I've always hated interfaces that try to complete my sentences for me. It started with suggested replies in email and IM apps. I sure noticed it when they started showing up in the llm chat interfaces and it really bugs me.
    by Cyan488
  • How does showing the suggested answers to the user make the conversation better for model training?

    They could take any conversation without suggested answers, truncate it to just before a user message, have the model predict suggested answers and then train it on the difference between predicted and actual answers, right?

    by bugos
  • I work at a company that has an enterprise contact that should mean I'm not part of the training data. But as a manual mode power user I think about this.

    I'd love the open source community to come up with a way to harvest model usage by experienced software engineers before we forget our crafts. I'm not against auto mode, but it's not something a couple private companies should have monopolies on.

    by 0xfaded
  • If you've played around with 'raw' LLM interactions you've already seen this: feeding a prompt into an LLM which ends with a 'start of user' prompt will produce a plausible query into the agent. Which makes perfect sense because the LLMs are already trained on many examples of this and the 'predict the next token' loss function does not particularly distinguish between the sides of the conversation. I highly doubt they need this feature to get better training data, more likely they got this feature for free from the way that the training works and only recently decided to actually expose it to the user.
    by rcxdude

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