uduni

12 ms·

1.
by uduni 6mo ago
It's crazy how much better you can make LLM output just by asking "is this the most elegant solution?" In a loop (Not fine tuning, but interesting none the less. If a model can so easily find a more elegant solution, why didn
2.
by uduni 6mo ago
Written language is deep tech itself. There's evidence it changed our brain morphology even. So ya it deeply affected kids abilities, for example memorizing long poems or whatever. Digital tech is here to stay...
3.
by uduni 6mo ago
It's a skill set just like coding. You can embrace an elevated workflow where you can forget about the specific syntax and focus on the architecture and integration. It takes time to intuit what exactly the models are bad at, so you ca
4.
by uduni 6mo ago
I guess they are assuming LLMs will just get better and better until youn don't look at code at all. Ignoring the fact that software will just keep getting more and more complex and interconnected... There will always be a new frontier
5.
by uduni 6mo ago
Sure... A good harness can be built in 1 day tho. A good model is 1000x more sophisticated
6.
by uduni 6mo ago
I've been running a custom harness in production for months (code gen on cloud boxes), it's quite simple (<500 LOC). The model can use sed or other nice bash tricks to efficiently read. U really don't need any tool besides
7.
by uduni 6mo ago
And? I just joined HN and I like coding with AI. Is it a problem to have a different opinion from you?
8.
by uduni 6mo ago
" The real value in the AI ecosystem isn’t the model or the harness — it’s the integration of both working seamlessly together. " Wut? The value in the ecosystem is the model. Harnesses are simple. Great models work nearly identic
9.
by uduni 6mo ago
So true... I get more mileage from just watching an agent work than building sophisticated LLM-as-judge workflows
10.
by uduni 6mo ago
Slop becomes impossible to maintain, and eventually product velocity slows down. Maybe it's ok for an ultra simple todo app, but for most apps code quality absolutely matters... Users expect snappy UX and all the new bells and whistles
11.
by uduni 6mo ago
How is this different from previous layers of abstraction? React/JS dev don't have to think about memory management or a million other things that C++ application devs did. Instead that cognitive load is unbundled onto the framewo
12.
by uduni 6mo ago
There's too much value in familiar UX. "Don't make the user think" is the golden rule these days. People used to have mental bandwidth for learning new interfaces... But now people expect uniformity