Comment by gyomu
8 hours ago
> the repo is too far off the data distribution
ah, this explains why these models have been useless to me this whole time. everything i do is just too far off the data distribution!
8 hours ago
> the repo is too far off the data distribution
ah, this explains why these models have been useless to me this whole time. everything i do is just too far off the data distribution!
Everything is unless your app is a React todolist or leatcode questions.
HN's cynicism towards AI coding (and everything else ever) is exhausting. Karpathy would probably cringe reading this.
okay but he literally does have a bridge that non-deterministically might take you to the wrong place to sell you
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people say this like it's a criticism, but damn is it ever nice to start writing a simple crud form and just have copilot autocomplete the whole thing for me.
Back in the 90s you could drag and drop a vb6 applet in Microsoft word. Somehow we’ve regressed..
Edit: for the young, wysiwyg (what you see is what you get) was common for all sorts of languages from c++ to Delphi to html. You could draw up anything you wanted. Many had native bindings to data sources of all kinds. My favourite was actually HyperCard because I learned it in grade school.
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I agree. I am "writing" simple crud apps for my own convenience and entertainment. I can use unfamiliar frameworks and languaged for extra fun and education.
Good times!
People say inbreeding like it’s criticism too.
or a typical CRUD app architecture, or a common design pattern, or unit/integration test scaffolding, or standard CI/CD pipeline definitions, or one-off utility scripts, etc...
Like 80% of writing coding is just being a glorified autocomplete and AI is exceptional at automating those aspects. Yes, there is a lot more to being a developer than writing code, but, in those instances, AI really does make a difference in the amount of time one is able to spend focusing on domain-specific deliverables.
And even for "out of distribution" code you can still ask question about how to do the same thing but more optimized, could a library help for this, why is that piece of code giving this unexpected output etc
It has gotten to the point that I don't modify or write SQL. Instead I throw some schema and related queries in and use natural language to rubber duck the change, by which point the LLM can already get it right.
I wonder if the new GenAI architecture namely DDN or distributed discrete networks being discussed recently can outperform the conventional architecture of GAN and VAE. As the name suggests, it can provide multitude of distributions for training and inference purposes [1].
[1] Show HN: I invented a new generative model and got accepted to ICLR (90 comments):
https://news.ycombinator.com/item?id=45536694