Ask HN: Does ChatGPT scare you? It scares me

• stack-overflow-import

  27 3,686 0.0 Python

  Import arbitrary code from Stack Overflow as Python modules.

> time series forecasting using this tool.

Interesting. IME even for toy problems it generally spits out code which fails to do what I requested some of the time or at all. Using this tool to solve a problem requires not only that I understand what it spits out but also that I understand how to actually solve the problem, so that I can iterate on the rubbish it spits out.

It doesn't seem frightening or particularly transformative; I'm not even convinced that using it could save more time than not. It's not doing anything radically different to https://github.com/drathier/stack-overflow-import and the latter works better.

I welcome evil players attempting to use it: their evil plans will self-destruct in hilarious ways.

• micrograd

  22 8,207 0.0 Jupyter Notebook

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Its just another evidence of what I already came to believe once I understood the concept of ML about 6 years ago.

1. There are a good subset of jobs across multiple industries that are simply "decision tree lookup" operations. These types of job will most certainly be replaced. For example, I worked for an aerospace company, we hired a consultant for advising on a manufacturing process. He basically looked at what we are trying to make, and advised on the tooling, process, e.t.c. This is the type of job that can be easily done by a future version ChatGPT that is sufficiently trained on both text and mathematical contexts. Software jobs often fall into above category, replicating common patterns that developers have learned. ChatGPT right now is even smart enough to take an input json and output json and write code to transform one into the other.

2. The actual "compute" operations jobs (like making software that requires figuring out a new pattern of transforming data or interfacing with a new piece of hardware like a 3D display) won't be replaced, but the skill will shift to a lot more computer science centric in being able to either a) additive train generic models on specific tasks, or b) use state of the art AI assisted tools effectively.

3. Overall, quality of life is going to improve, as it will get a lot cheaper to do things.

TLDR; if are a software dev and you haven't already, get super familiar with ML concepts, Pytorch, etc.

https://github.com/karpathy/micrograd is a very good primer to start with once you understand the basic concepts.

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