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"... and there are unknown, unknowns..."
Not exactly sure why you bring this up but tangentially this is actually a really good prompt to use with GPT. Ask it a question but tell it to list the known knowns, known unknowns and unknown unknowns before replying. The unknown unknowns part usually generates some interesting follow up questions.
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Not exactly sure why you bring this up but tangentially this is actually a really good prompt to use with GPT. Ask it a question but tell it to list the known knowns, known unknowns and unknown unknowns before replying. The unknown unknowns part usually generates some interesting follow up questions.
I lit ask it ; tell me what I am not asking or propose BETTER SCHEMA, or table. and it usually suffices.
SUMMARIZE THAT AND PRODUCE CSV FOR X
CONSTRAIN TO CALIFORNIA
CREATE TABLE FOR EACH COUNTY LIMIT 3
JOIN THAT WITH OTHER RESOUCES
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It also has a very broad knowledge of programming languages and frameworks. It's able to onboard you with ease and answer most of qour questions. The trick is to recognize when it's confidently incorrect and hallucinating API calls.
But that's the secret, it's always hallucinating
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So what if you don't "just put it into a loop and hope" but actually make a complex AI agent with static code analysis capabilities, a graph DB, a work memory etc? I'm doing just that and it works surprisingly well. Currently it's as good as people with 2-3 years of experience. Do you really believe it's not going to improve? Now I'm making a virtual webcam so it has a face and you can talk to it on a Zoom meeting...
Do you have a presentable demo? LLM augmented by static code analysis sounds very interesting
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What programming language do your stakeholders use to communicate their ideas during planning meetings? Unfortunately, mine can only speak English…
The issue in this is that they speak english, think english, want X in english. But in reality need Y. ChatGPT will not help with that.
This is pointless to argue though since it’s apparent there are people for which this just doesn’t fit into their workflow for whatever reason. It’s like arguing over whether to use an IDE.
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But that's the secret, it's always hallucinating
What do you mean when you say this? Most people use hallucinate to mean "writes things that aren't true". It clearly and demonstrably is able to write at least some code that is valid and write some things that are true.
A human in a hallucinogenic state could hallucinate a lot of things that are true. The hallucination can feature real characters and places, and could happen to follow the normal rules of physics, but they are not guaranteed to do so. And since the individual has essentially become detached from reality, they have no way of knowing which is which.
It's not a perfect analogy, but it helps with understanding that the model "writing things that aren't true" is not some statistical quirk or bug that can be solved with a bandaid, but rather is fundamental to the models themselves. In fact, it might be more truthful to say that the models are always making things up, but that often the things they are making up happen to be true and/or useful.
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What do you mean when you say this? Most people use hallucinate to mean "writes things that aren't true". It clearly and demonstrably is able to write at least some code that is valid and write some things that are true.
These models don't have a frame of reference to ground themselves in reality with, so they don't really have a base "truth". Everything is equally valid if it is likely. A human in a hallucinogenic state could hallucinate a lot of things that are true. The hallucination can feature real characters and places, and could happen to follow the normal rules of physics, but they are not guaranteed to do so. And since the i…
Cool -- I did something similar with the goal: Imagine and simulate an instrument that doesn't exist and ended up with this -- it even created the assets or prompts for other AIs to make assets where it couldn't, including the model https://pwillia7.github.io/echosculpt3/
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That could end up in getting better and better special-purpose expert systems. How do you create better and better general-purpose AIs this way? What is more, when the AIs are more advanced, it might be challenging to create meaningful tests for them (outside of very specialized domains).
My point with the race analogy was you score it on the outcome (time) not a factor (horsepower). For your concern, just make the outcome broader. Someone will still say it’s not AGI as it does 100 different remote jobs, but just plan on ignoring them. Something that scares me is people don’t want to believe this is where we’re headed or it’s even possible. I say this because I think your concerns are easy enough to a…
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I use GPT-4 with ChatGPT daily for coding. Here’s what I’ve found works for making the most out the limited prompts OpenAI gives you. - When you first start, tell ChatGPT about the limitation. Example - “I’m only allowed to send you 25 prompts every 3 hours. As a result, I need you to keep track of the messages I send you. At the end of each response you give me, please tell me how many prompts I have left, ex: this…
Request for a message cap increase. I think they go up to 100 but it depends on what you are doing.