Posted by jetter 9 hours ago
One area I had near magic was providing a land survey which includes details in writing of the plat. It took those directions and beautifully reconstructed the boundaries to exact precision in CAD.
Where I ran into trouble was creating good constraints on sketches without being overly explicit. I kept running into it creating distance constraints from an arbitrary point instead of using other elements in the diagram that a human drafter would think to do by default.
Projects like Anna’s Archive make it much easier for researchers and builders to work responsibly with large datasets.
A model that knows more in general, will often be better at specific tasks. e.g. If you ask a model to "make a program that estimates the annual production of a solar installation", it needs to have been trained on a lot more than just Python code.
Is this your hypothesis or broad conclusion among AI experts?
Why is this medium ranked, and not on par with the best two?
My take is that it's a fancy wrapper around the CLI tool. It's there to organize multiple conversations and see all the related output and generate files.
I've been using the internal version and I've actually liked it quite a bit. It's clear from when I started using it, it's not an editor, and they have ways to open your normal editor outside of it. They have turned it fully into an agent management tool.
When the antigravity development team doesn't have to focus on all the things that vscode is already good at, it lets them simplify the UI and do only agent related things. We'll see if this bet works out for them, but so far I like the idea.
Don't get me wrong, I don't think AI coding is a bad thing. For East Asians like myself, it levels the playing field with Westerners, so as long as you rigorously review the AI's output, it's a perfectly viable tool.
However, the absolute farce we just witnessed with the antiGravity2.0 update really raises doubts about whether 'vibe coding' can actually be trusted. If even a behemoth like Google is dropping the ball like this, it says a lot.
I'd like to put regional differences aside and say AI coding / LLMs are incredible tools.
While I'm nervous about my job as a programmer being able to pay a prevailing wage after the dust settles, I do hope that everyone gaining access to an AI coder / tutor will allow anyone to be able to achieve things they previously only dreamed of. If the tutor costs pennies per session, sure, the tutors are out of work, but I hope everyone can thus up-skill to work on the challenges they actually want to work on.
I'm taking baby-steps into coding in Elixir on the other monitor, a language I had only read about before, because an LLM is walking me through the changes, answering my questions, and accepting my rebuttals. There's no way I would have time to pick up the language otherwise.
Yesterday I vibe-coded some additions to the static site generator python script for my blog. It was awesome to be able to think in terms of desired features instead of digging around documentation for libraries and syntax.
I'm sorry, but that sounds exactly like almost every single Google "product" out there, they seem to only care about throwing stuff over the wall as quickly as possible, and you'd have a hard time finding a single Google product that doesn't also feel filled with fragmented choices, like every project of theirs have a different project manager every week.
Why do you say that? Are there language or cultural disadvantages to being East Asian?