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I know a big part of the discussion around this link is around whether AutoGPT is viable or not, but I think a more interesting piece are the papers linked at the bottom (especially the "Tool Maker" one). This pattern of "well, maybe the LLM can do that too" is just so obvious but so meta and simultaneously brittle. "LLM can use tools" -> "The tools can, themselves, be LLM-based" -> "The LLM can create it's own tools…
The amount of hype around AutoGPT is probably good for other people building similar things though. It allows people to build without all the grifter attention that AutoGPT gets.
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Are you an OpenAI user who has a valid payment method attached to your account? I've notice they approve GPT-4 as long as you have a valid payment method and a reasonable justification, which in my case one liner.
There's a waiting list to use the GPT-4 API. https://openai.com/waitlist/gpt-4-api Anecdotally (and unsurprisingly), they seem to be prioritising those with "value-add" use cases in a variety of industries over individuals just wanting to play.
Has anyone actually done anything of use with autogpt? I tied it for 4 tasks and it would inevitably get stuck on each and produce absolutely nothing of value. These were fairly simple like research popular topics and write articles on them etc. It would do things like Google something, the result wasn’t relevant , try again , got an error from one of the pages and then seemingly started to do something completely in…
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Were you using it with gpt3 or 4? Personally, I can’t get gpt4 api access despite being a PI at a well known research institution with a project that would be great publicity for OpenAI. My theory is that people are running it mostly with 3 and then saying it’s useless. It definitely is useless with 3.
I've used GPT4, and never got it really do anything useful.
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I've used GPT4, and never got it really do anything useful.
Same here, tried both autoGPT and autoGPT.js with GPT-4, kept failing at even the simplest of tasks.
basically, this effort ended up failing because, well, problem solving itself is inherently complex.
https://en.wikipedia.org/wiki/Fifth-generation_programming_l...
seems like the exact same thing happened with ChatGPT / AutoGPT / GPT4, and this will keep happening.
I was thinking that perhaps we have been working with abstractions that are too low-level. Instead of providing a set of tools such as API calls or text splitters, wouldn't it be more reliable to give agents templates or workflows of successful tasks, such as trimming videos or booking restaurants?
These templates would consist of a set of function calls, or a graph of connected components in low-code tools like LangFlow. I believe auto agents already use a similar concept where they cache successful tasks for future reuse. The idea is to populate these caches with the most common use cases, and use retrieval if they become too large, so that we don't experience cache-miss most of the time and work with lower-level abstractions (tools) as the baseline. Templates, like prompts, should be portable (e.g. JSON) to avoid the need for everyone to reinvent the wheel. While this solution may not be as impressive as a full autonomous agent and may not work for a generalized case, it should produce a more predictable outcome, I think.
Earlier quoted context omitted.
Were you using it with gpt3 or 4? Personally, I can’t get gpt4 api access despite being a PI at a well known research institution with a project that would be great publicity for OpenAI. My theory is that people are running it mostly with 3 and then saying it’s useless. It definitely is useless with 3.
Are you an OpenAI user who has a valid payment method attached to your account? I've notice they approve GPT-4 as long as you have a valid payment method and a reasonable justification, which in my case one liner.
Right now it’s extremely chaotic since there’s no human correction in the process so the errors compound until you quickly reach incoherence
Has anyone actually done anything of use with autogpt? I tied it for 4 tasks and it would inevitably get stuck on each and produce absolutely nothing of value. These were fairly simple like research popular topics and write articles on them etc. It would do things like Google something, the result wasn’t relevant , try again , got an error from one of the pages and then seemingly started to do something completely in…
That about matches my experience. It's a neat project but that's about it.