quantumHazer

10 ms·

1.
by quantumHazer 2mo ago
> Fable didn't even need to debug it; I believe essentially all the assembly worked correctly on the first try. so you don't know if it works properly or not
2.
by quantumHazer 2mo ago
Probably llm slop
3.
by quantumHazer 3mo ago
> There are many ways to build for the web, both with and without AI. If AI is a part of your workflow, we think this tool will help make it even more productive. And if it isn’t, that’s OK too. Crazy thing to say in 2026 where if you wr
4.
by quantumHazer 5mo ago
also, there is multiple models called codex or that have codex as a "suffix" eg. "gpt-5.3-codex"
5.
by quantumHazer 6mo ago
you can’t iterate fast over quality though. it takes patience and expertise, not a bloated repo like this. every example you mentioned is not something you should delegate to LLMs, unless quick prototyping
6.
by quantumHazer 6mo ago
> not using GenAI could mean project won't be competitive in current landscape why? this is false in my opinion, iterating fast is not a good indicator of quality nor competitiveness
7.
by quantumHazer 7mo ago
the author is an employee of Cursor/Anysphere. i think this should've been declared at the start of the article. it's always like this.
8.
by quantumHazer 7mo ago
Not unpopular at all. I think it's one of the best Ferrari ever made.
9.
by quantumHazer 8mo ago
Or maybe, hear me out, we don't need any of this ""agent"" first shiny thingy
10.
by quantumHazer 9mo ago
I wouldn’t be surprised if this is undisclosed PR from Anthropic
11.
by quantumHazer 9mo ago
Why are we commenting the Claude subreddit? 1) it’s not impartial 2) it’s useless hype commentary 3) it’s literally astroturfing at this point
12.
by quantumHazer 9mo ago
Seems pretty false if you look at the model card and web site of Opus 4.5 that is… (check notes) their latest model.
13.
by quantumHazer 10mo ago
> it won’t make sense to learn how to code. Sure. So we can keep paying money to your employer, Anthropic, right?
14.
by quantumHazer 10mo ago
Last year’s model were at 50-60% on SWE bench-verified actually
15.
by quantumHazer 11mo ago
there is also Normal Computing[0] that are trying different approaches to chips like that. Anyway these are very difficult problems and Extropic already abandoned some of their initial claims about superconductors to pivot to more classical
16.
by quantumHazer 11mo ago
there is also Normal Computing[0] that are trying different approaches to chips like that. [0]: https://www.normalcomputing.com
17.
by quantumHazer 11mo ago
yess, but: https://arxiv.org/pdf/2303.10728
18.
by quantumHazer 1y ago
> dev bootcamp i will not comment any further
19.
by quantumHazer 1y ago
> just admit it, interns are struggling competing with Claude Code, Cursor and Codex They are not. This is false, zirp ended, this is the problem. Not LLMs.
20.
by quantumHazer 1y ago
Upload your pdf so we can gather more training data but you’re providing it!
21.
by quantumHazer 1y ago
Both of you are wrong and this is not good discussion level for HN
22.
by quantumHazer 1y ago
This comments shows that most of the users in this thread have not done game development. We are judging the usefulness of a LLM in a project that is really over represented in training data (a bunch of Intro to Programming courses requires
23.
by quantumHazer 1y ago
this is false and the two things are not correlated. if you followed news during the GAN cycle you could extrapolate that deep NN could do this type of things. it is really cool that this things happened so fast, but we are talking about co
24.
by quantumHazer 1y ago
It is also true that models doesn't give a ** about instructions sometimes and the do whatever text predictions is more likely (even with reasoning)
25.
by quantumHazer 1y ago
a 1 minutes research on the internet led me to discover that you are MARKETING MANAGER at amazon. so your take is full of conflict of interest and this should be disclosed.
26.
by quantumHazer 1y ago
a 1 minutes research on the internet led me to discover that you are MARKETING MANAGER at amazon. so your take is full of conflict of interest and this should be disclosed.
27.
by quantumHazer 1y ago
yeah, tipically they are building a to do list and organizer app and have not found that github is flooded with college students' project of their revolutionary to-do apps
28.
by quantumHazer 1y ago
it's very well documented behavior that models try to pass failed test with hacks and tricks (hard coding solutions and so on)
29.
by quantumHazer 1y ago
It's open-weight, not open source though
30.
by quantumHazer 1y ago
Machine learning as it is needs human data and input to progress further. Synthetic data can be useful until a certain point, but you can’t expect to have a better model on synthetic data alone indefinitely. The moat of GDM here is YouTube.

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