quantumHazer

This is not how science and engineering work and an arxiv should not be taken at face value.

Social media derived dynamics != "thoughtful digital participation".

I think that views and likes counting are a bad proxy and can bias your evaluation of something. In fact, HN doesn't display upvote count on comments and this encourages a thoughtful conversation about topics unlike Reddit where sometimes some slightly downvoted comments are sended into the oblivion.

> You simultaneously advocate for thoughtful digital participation (creating “digital footprints” as a form of conscious legacy-building) while criticizing how we’ve become “conditioned to react with likes, dislikes, and millions of emojis.” You want to use digital tools for meaningful intellectual work while rejecting the reactive culture they create.

This is absolutely not a contradiction, and it provides evidence that even frontier models are really bad at this type of reasoning at the moment. There is a difference between how we use the internet and what we publish on it. There are plenty of people who have a blog and publish content on the internet without having any social media presence. I myself have a blog in plain HTML/CSS without any tracking or analytics on the website. Maybe Cloudflare provides some, but I haven't looked into this

SVG benchmarking is a thing since GPT-4, so probably all major labs are overfitting on some dataset ov svg images for sure

and probably some synthetic data are generated copy of the games already on the dataset?

i have this feeling with LLM's generated react frontend, they all look the same

> From my perspective I like to be prepared

The same you that thinks has proved P = NP with ChatGPT?

I'm pretty new user, I can't downvote (and flag maybe) I think? I read there is a karma threshold to downvote but I don't know what it is. Sometimes I don't have the flag button though

I disagree. You can simply code in a way that all test passes and you have more problem than before reviewing the code that is being generated.

in the sense that is totally unpredictable and suck your time into the void without learning anything?

What are your final thoughts about AI assistance?

Have you checked experimentally the response of the LLM?

Anyway I don't think this is ""PhD-knowledge"" questions, but job related electrical engineering questions.

He uses vim and copy paste code from web interfaces because he wants to maintain control and understanding of the code. You can find proofs of this setup on his youtube channel [https://www.youtube.com/@antirez]

I can't understand why once you have a PhD anyone should care more about the subject.

I'm going a little offtopic here, but I disagree with the OPs use of the term "PhD-level knowledge", although I have a huge amount of respect for antirez (beside that we are born in the same island).

This phrasing can be misleading and points to a broader misunderstanding about the nature of doctoral studies, which it has been influenced by the marketing and hype discourse surrounding AI labs.

The assertion that there is a defined "PhD-level knowledge" is pretty useless. The primary purpose of a PhD is not simply to acquire a vast amount of pre-existing knowledge, but rather to learn how to conduct research.

Dijkstra would like to have a word here

https://www.cs.utexas.edu/~EWD/transcriptions/EWD06xx/EWD667...

no, they just claim that AI coding tools are magic and drink their kool-aid

You clearly have not read the study. Problem is developers thought they were 20% faster, but they were actually slower. Anyway from a fast review about your profile you're in conflict of interest about vibe coding, so I will definitely take your opinion with a grain of salt.

This should really be top comment. The problem is this tools can really give us some value in certain type of areas, but they are not like they are marketed.

Not a useful commentary. ANN and BNN are slightly correlated. That fact that you want to believe it is a brain tells a lot about you, but it doesn’t make a model a brain.

Only suggestion I have is “study more”.

> Natively multimodal LLM's are basically brains.

Absolutely not.

Retina Display means nothing. Just because Apple pushed hard to make it common to everyone it doesn’t mean it’s a good technical name.

I’m no better at naming things! Shall we propose LLM feedback loop systems? It’s more grounded in reality. Agent is like Retina Display to my ears, at least at this stage!

Exactly. Also related on why Natural Language is not really good for programming[0]

[0]: https://www.cs.utexas.edu/~EWD/transcriptions/EWD06xx/EWD667...

Anyway I indeed find LLMs useful for stackoverflow-like programming questions. But this seems to not be true for long as SO is dying and updated data on this type of questions will shrink I think.

Finally some serious writing about LLMs that doesn’t follow the hype and it faces reality of what can and can’t be useful with these tools.

Really interesting read, although I can’t stand the word “agent” for a for-loop that call recursively an LLM, but this industry is not famous for being sharp with naming things, so here we are.

edit: grammar

> “I’ll unplug you if you don’t center the div NOW” isn’t the prompt engineering hack that your favorite LinkedIn pedagogue wants you to believe.

This is the best part, I hate this type of anthropomorphizing an ML system. This is the inheritance of LessWrong type of bs. Just because YOU prompted the LLM to behave rogue it doesn't mean it does have intentions of doing so.

anyway the rant is good, even because it addresses that this system are really useful in certain type of tasks but the hype is insanely out of control.

No, past performances are not an indicator of future performance. Sometimes it happens to be, but many other times it does not.

it's still quite bad though

Yes side project are for fun and for learning, not for prompting an LLM. Unless you dislike coding and problem solving.

You're sabotaging yourself though. You are avoiding learning.

What's the point of shipping a Chrome feature before graduating? Just to put in your CV that you've committed in some repo? In the past this would be signal of competence, but now you're working towards a future where doing this thing is not competence signaling anymore.

Yeah, and who will make them accountable? How can you verify that they’re noteworthy stealing your data anyways? This companies don’t give a shit about copyright or privacy.