I only see that EmbeddingGemma 2 is Apache 2.

"EmbeddingGemma 2 is made by Google DeepMind and released under Apache 2.0. This is an independent project, not affiliated with or endorsed by Google."

Running an LLM to delete files seems like overkill to me. Couldn't a cron job do the same thing? Or is the clutter just put into random places, which, if true, seems like bad software, which then leads me to consider the output of LLMs in general, which then leads me to wonder why are we doing this?

But, I'm just wondering.

Oh it makes all sorts of temporary files and directories, sometimes in the right places as per UNIX filesystem conventions, but often not.

You could use snapshots or whatnot to reset the state whenever you like. Using an LLM to clean up files often seems like overkill to me.

Wouldn't a snapshot delete everything else you saved?

You keep your source tree on a separate file system with version control, one hopes.

So you only snapshot the rest. (And since your source tree is under version control, finding stray garbage there is straightforward unless you checked it in)

From the article by Rich Hickey that is a counter point "'AI' is not a tool"

"You are only a software update from everything you've 'learned' being rendered obsolete by the latest algorithm. "

Was a hoe not a tool because it was rendered obsolete in many applications by tractors?

Not to mention that I find these semantic discussions pointless and unproductive.

And what actionable information can be extracted from these articles? Near zero. It's a collective waste of bright minds.

> And what actionable information can be extracted from these articles? Near zero. It's a collective waste of bright minds.

But how else can I virtue signal how smarter I am than you, ordinary sheeple who obviously don't understand X and continue to do Y?

If you could be made obsolete by a collection of information, all teachers would have been made obsolete by Encyclopædia Britannica.

Never underestimate the stupidity of a famous person with a hot take.

I don't think he is saying the person becomes obsolete, just the stuff you 'learned' on that LLM because the LLM maker decided to change it.

Better code allows you to write new features with less risk to disrupting your current features.

Software design and architecture is about creating a system that can be built well, run well, and modify well.

If you just throw things together without thought you get an unmaintainable mess.

Can you go deeper here? What do you mean you are okay delegating your own gaps? Specifically I am interested in what happens when you can't afford to delegate anymore.

Afford monetarily?

Same feeling about low effort pro-AI posts. Low effort comments too. Low-effort comments being just reactionary one-liners. What do you mean by "low-effort anti AI posts"? HN front page used to be more diverse topics that were generally interesting. Now it seems like it's "Hey Anthropic just released a new model" "Hey OpenAI just did X with model that is questionable" Or "X did AI X with X-y thing". Low-effort is for real a problem.

Obviously I was referring to the post I was commenting on as a low effort anti AI post.

But not as obvious is why you consider it low-effort. Indeed, one must be able to articulate their dissatisfaction in order to propagate consensus and thereby action.

Not sure why you are referencing this Wikipedia article and I would hate to infer your meaning. Please tell me more.

Can you please expound on the different ways "decent engineers are utilising LLMs in a professional capacity"? A case study would be great to read to understand better the value of LLMs and how developers use it effectively. Thanks in advance!!

Hate to break it to you, but no one is important enough that they'll get a case study in response to a HN comment.

Can you expound on why "This is one of the most ridiculous statements I've ever read."? I think a deeper discussion into the capability of agents to decrease entropy would be very valuable.

A program/repository is a big chunk of text

Any text edits (insertions, deletions) that a human is capable of doing, so is an agent/LLM

To think that reducing entropy/complexity in a system is some inherently human capability is both anthropo-centric and full of hubris.

I disagree. A program/repository is not a big chunk of text. It's more like logic to perform a particular function represented in text which is a symbol of language.

"To think that reducing entropy/complexity in a system is some inherently human capability is both anthropo-centric and full of hubris."

Humans invented LLMs and Agents etc, designed, programmed, etc. etc. Seems they are more an extension of humans -- tools that rely on humans.

An LLM/Agent left to it's self on a code base does cause entropy. I've only ever seen them not cause entropy on the first prompt.

"For its part, Apple says on its support page that users should "consider those around you where conversations may be private or sensitive." The broader message Apple seems to be sending is: Prepare for a world where everyday devices are always listening in."

Just stop. Who is going to think to take off their watch that they always wear and are now in a co-dependent relationship with? Or put their phone in a faraday cage. Are we suppose to ask the guy at the next table with his apple watch and iphone super max listener: "Excuse me sir, but could you leave so we aren't recorded?"

I went to a city park the other day and the amount of Flock cameras was absolutely mind boggling. Not even a large park. Not pointed at the parking lot but at playgrounds, tennis courts, and walking paths.

XHTML ftw :)