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Elixir-lang.org has a new design

elixir-lang.org

61–70 of 141 posts

Re: Elixir-lang.org has a new design

#61
post #44
post #33

Earlier quoted context omitted.

But I bet the landing page was made with AI assistance.

It was not: https://news.ycombinator.com/item?id=48959936

>I also worked on all of the copy myself, collecting feedback from core maintainers as I went. The new tagline was a suggestion from Theo which we iterated on. I did use LLMs as an assistant, but I did not ask it to generate the content.

>Might as well use LLMs for the whole thing next time, since we will be accused of doing so anyway! :D

Re: Elixir-lang.org has a new design

#64

Earlier quoted context omitted.

I don't think Machine Learning falls under what most people consider "AI" and "LLM" these days, even if they're technically intertwined.

How is LLM (a particular area of machine learning) not machine learning? Have people already forgotten the basis for LLMs?

The majority of people who use LLMs today never even heard of ML though a non-trivial percentage have heard that modern AI is powered by LLM. You can’t forget what you never knew. Such is the evolution of language when a formerly niche technical concept crosses the chasm to mass awareness.

Re: Elixir-lang.org has a new design

#65
Love the new site!

Minor typo in the Erlang card:

“Elixir also excels at IoT, distributed systems, and everything the Erlang is renowned for”

should probably be “everything the Erlang VM is known for” or “everything Erlang is known for.”

Re: Elixir-lang.org has a new design

#66

Earlier quoted context omitted.

I don't think Machine Learning falls under what most people consider "AI" and "LLM" these days, even if they're technically intertwined.

How is LLM (a particular area of machine learning) not machine learning? Have people already forgotten the basis for LLMs?

I'd argue there's a qualitative difference between using machine learning for specific data analysis tasks, and using a generic agentic AI system controlled by some corporate entity. The association of the term 'AI' with the latter is increasing.

Re: Elixir-lang.org has a new design

#67

There’s no obvious way to switch to normal (aka “light”) mode. Dark mode is very difficult for some people (me included) to read. If you must default to dark mode that’s your choice but I’d love to see a light mode toggle somewhere prominent.

Ideally websites just respect the existing media queries so you don't even have to switch!

Re: Elixir-lang.org has a new design

#69
post #43

Earlier quoted context omitted.

Shame then that despite all that, they landed on the same design used by every "I asked an LLM to make me a language and a website this weekend here's what it spit out" project. I mean, I'm not saying it looks bad or is a bad result. Just it's very similar to other things that have put in much less effort.

I’m tried to understand the motivation for this salty comment and the parent comment. I failed. Then I opened the user’s comment history and most of their comments are like this. ModernMech, please, keep in mind we’re all doing our best. Being passive aggressive on the internet is social pollution. No offense intended, I’m just hoping you reflect a bit next time before you post.

[flagged]

Re: Elixir-lang.org has a new design

#70
post #66

Earlier quoted context omitted.

How is LLM (a particular area of machine learning) not machine learning? Have people already forgotten the basis for LLMs?

I'd argue there's a qualitative difference between using machine learning for specific data analysis tasks, and using a generic agentic AI system controlled by some corporate entity. The association of the term 'AI' with the latter is increasing.

Yes, but nozzlegear claims that even technically "intertwined" (presumably they mean "inclined") people don't know the connection between LLMs and the broader ML work that encompasses it. That's a pretty big claim, and would be rather shocking if true. ML and deep learning were heavily invested in and discussed through the 2010s (and earlier, but the hardware developments at the end of the 2000s enabled the ML boom of the 2010s), is our industry really so memory constrained (I know there's a shortage now, but still) that people don't know the connection between machine learning and LLMs?
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