You may not owe "deep AI integration" better, but the effect of comments like the one you posted here is toxic on the community regardless of how right you are. For the sake of having a decent community, we ask people not to post like this.
> The gist is this: we have a lot of tools built in to our analysis library, pagerank, tf/idf, things like this which we can use to generate summaries, extract, keywords etc. There isn't a giant opaque LLM behind everything. These tools are used in logical ways, for example, when you bookmark something, how should you tag it? Nyxt figures out some likely tag candidates and suggests them to you.
When someone responds like this, it's not to specific features, but to the general over-saturation of "AI" features because they are trendy, despite the majority of such features being poorly thought out, misleading, poorly integrated, provide serious privacy concerns, don't address concerns about bias or hallucination, etc.
If the marketing copy actually referred to specific features, rather than the "AI" buzzword of the day, people might be less likely to interpret it as a negative signal.
I'm well aware your take is a visceral reaction to the marketing copy in the FAQ (which to be honest, I can't blame you), but that's why I asked the question you didn't answer. :)
I'd just encourage anyone with a knee jerk feeling like this to actually take a peek at what the buzz word actually alludes to. Your heuristic may have a false positive.
Kinda related, but did you know that GitHub refer to itself as "The AI-powered developer platform"? I guess copilot is more important than being a decent forge.
As a sibling mentions, ewe is pretty decent, but if you want all mod-cons then you can use EAF's browser, or even better use EXWM to embed Firefox (or Librewolf or whatever).
Be careful, or you'll summon one of the many locals here who have been very successful in AI and lisp. For example @marklwatson has a number of books on modern "AI" applications in various lisps (I particularly recommend checking out Hy, since it's so easy to move from python).
If you're talking about AI winter, it might be fair to put some blame on the commercial Lisp Machine producers, but I think it's indisputable that the early failures were due to capricious government funding as well as the non-existence of big, cheap GPGPUs.
Lisps existed long before any AI hype, and they'll happily continue long after.
