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>What does gpt dependence look like for people that have non-programming office jobs where they just email all day? There isn't any such dependency (yet). Des

by Havoc 2y ago

>What does gpt dependence look like for people that have non-programming office jobs where they just email all day? There isn't any such dependency (yet). Despite strong corporate push I'd say the average person I work with uses it maybe once a week - usually research or summarization. The inroads LLMs are making on programming aren't translating to other office jobs cleanly. Think it's largely because other areas don't have an equivalent source of training data like github It'll no doubt come, but for now all programmers seem to have mostly automated themselves out of a job not others from what I can tell. >Do they actually make any decisions themselves There is little to no GPT decision making happening despite all the media chat about AI CEOs and similar bullshit. Inspiration for brainstorming is about as close as it gets

parpfish 2y ago
would you know if they were dependent? my assumption was that these office people were secretly using it to automate dull parts of their work without the approval or knowledge of their coworkers
- Havoc 2y ago
  >would you know if they were dependent? Yup, because I'm one of these office workers. Financial controller stuff in PE space & coding as hobby and interest in AI space. There just isn't a direct equivalent thing that captures the knowledge in a machine readable way the way a code base does. It's all relationships, phone calls, judgement calls, institutional knowledge, meetings, coordination, navigating egos and personal agendas etc. There is nothing there that you can copy paste into an LLM like you can with say a compile error. Even the accounting parts that conventional wisdom says should be susceptible to this...it's just not anywhere close to useful yet. Think about how these LLMs routinely fail test like "is 9.90 or 9.11 bigger" or miscount how many Rs are in strawberry. You really want to hand decisions about large amounts of money to that? And maybe send a couple million to the wrong person cause the LLM hallucinated a digit wrong. It's just not a thing. Maybe with some breakthroughs on hallucinations it could be but we all know that's a hard nut to crack. >automate dull parts I've been trying hard to find applications given my enthusiasm for coding & AI. No luck yet. Even things where I thought this would do super well...like digging through the thousands of emails via RAG+LLM is proving oddly mediocre. Maybe that's an implementation flaw, not sure.

by Havoc 2y ago

parpfish 2y ago

would you know if they were dependent? my assumption was that these office people were secretly using it to automate dull parts of their work without the approval or knowledge of their coworkers

Havoc 2y ago
>would you know if they were dependent? Yup, because I'm one of these office workers. Financial controller stuff in PE space & coding as hobby and interest in AI space. There just isn't a direct equivalent thing that captures the knowledge in a machine readable way the way a code base does. It's all relationships, phone calls, judgement calls, institutional knowledge, meetings, coordination, navigating egos and personal agendas etc. There is nothing there that you can copy paste into an LLM like you can with say a compile error. Even the accounting parts that conventional wisdom says should be susceptible to this...it's just not anywhere close to useful yet. Think about how these LLMs routinely fail test like "is 9.90 or 9.11 bigger" or miscount how many Rs are in strawberry. You really want to hand decisions about large amounts of money to that? And maybe send a couple million to the wrong person cause the LLM hallucinated a digit wrong. It's just not a thing. Maybe with some breakthroughs on hallucinations it could be but we all know that's a hard nut to crack. >automate dull parts I've been trying hard to find applications given my enthusiasm for coding & AI. No luck yet. Even things where I thought this would do super well...like digging through the thousands of emails via RAG+LLM is proving oddly mediocre. Maybe that's an implementation flaw, not sure.