cstever

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."

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.

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.

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. "

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.

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

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.

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.

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.

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.

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!!

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.