this post was submitted on 10 Aug 2025
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[–] brucethemoose@lemmy.world 8 points 4 months ago* (last edited 4 months ago) (4 children)

The pathological need to find something to use LLMs for is so bizzare.

It’s like the opposite of classic ML, relatively tiny special purpose models trained for something critical, out of desperation, because it just can’t be done well conventionally.

But this:

AI-enhanced tab groups. Powered by a local AI model, these groups identify related tabs and suggest names for them. There is even a "Suggest more tabs for group" button that users can click to get recommendations.

Take out the word AI.

Enhanced tab groups. Powered by a local algorithm, these groups identify related tabs and suggest names for them. There is even a "Suggest more tabs for group" button that users can click to get recommendations.

If this feature took, say, a gigabyte of RAM and a bunch of CPU, it would be laughed out. But somehow it ships because it has the word AI in it? That makes no sense.

I am a massive local LLM advocate. I like “generative” ML, within reason and ethics. But this is just stupid.

[–] DaddleDew@lemmy.world 5 points 4 months ago (1 children)

When I'm browsing around with multiple tabs open, the last thing I want is something to start moving them around and messing my flow up. This is a solution looking for a problem.

[–] otter@lemmy.ca 1 points 4 months ago* (last edited 4 months ago)

Yup

Auto naming functionality is neat in some cases, like the AI chat UI itself

  • It's convenient to have names when toggling between a few recent chats or searching through 10s or 100s of chats later on
  • I spawn new chats often and it's tedious to name them all
  • I don't have a strong preference for what the title is as long as it's clear what the chat was about

Tab groups don't hit those points at all

  • I'll have a handful of tab groups
  • I don't make them often
  • I have a strong preference for what it's called, and the AI will have trouble figuring out exactly what I'm using those sites for
[–] Saleh@feddit.org 1 points 4 months ago (1 children)

I agree with you on almost everything.

It’s like the opposite of classic ML, relatively tiny special purpose models trained for something critical, out of desperation, because it just can’t be done well conventionally.

Here i disagree. ML is using high dimensional statistics. There exist many problems, which are by their nature problems of high dimensional statistics.

If you have for an example an engineering problem, it can make sense to use an ML approach, to find patterns in the relationship between input conditions and output results. Based on this patterns you have an idea, where you need to focus in the physical theory for understanding and optimizing it.

Another example for "generative AI" i have seen is creating models of hearts. So by feeding it the MRI scans of hundreds of real hearts, millions of models for probable heart shapes can be created and the interaction with medical equipment can be studied on them. This isn't a "desperate" approach. It is a smart approach.

[–] tabular@lemmy.world 0 points 4 months ago (1 children)

Based on this patterns you have an idea, where you need to focus in the physical theory for understanding and optimizing it.

How do you tell what the patterns are, or how to interpret them?

[–] Saleh@feddit.org 1 points 4 months ago* (last edited 4 months ago)

The recognition of the pattern is done by the machine learning. That is the core concept of machine learning.

For the interpretation you need to use your domain knowledge. Machine learning together with knowledge in the domain analyzed can be a very powerful combination.

Another example in research i have heard about recently, is detection of brain tumors before they occur. MRIs are analyzed of people who later developed brain tumors to see if patterns can be detected in the people who developed the tumors that are absent in the people who didn't develop tumors. This knowledge of a correlation between certain patterns and later tumor development could help specialists to further their understanding of how tumors develop as they can analyze these specific patterns.

What we see with ChatGPT and other LLMs is kind of doing the opposite by detaching the algorithm from any specific knowledge. Subsequently the algorithm can make predictions on anything and they are worth nothing.

[–] Godort@lemmy.ca 1 points 4 months ago* (last edited 4 months ago) (1 children)

The pathological need to find something to use LLMs for is so bizzare.

Venture capital dumped so much money into the tech without understanding the full scope of what it was capable of. Now they're so in so deep that they desperately NEED to find something profitable it can do, otherwise they'll lose the farm.

[–] brucethemoose@lemmy.world 1 points 4 months ago (2 children)

Firefox has little financial motivation for this, though?

Other than getting "AI" investor money, if that's the plan... But otherwise it just feels like they're following a meme.

[–] WhatAmLemmy@lemmy.world 1 points 4 months ago (1 children)

It makes a lot more sense when you realize that the Mozilla corporation is a for profit run by the same techno-fascist aggrandizing bait-and-switch narcissists as the rest of SV.

I've been saying it for years, but I will never donate to Firefox until it is freed from the shackles of a for profit corporation that can use your donation for any profit motive it sees fit; not even related to Firefox.

[–] Gigasser@lemmy.world 0 points 3 months ago (1 children)

Isn't the "for-profit" Mozilla Corporation owned by the "non-profit" Mozilla Foundation though?

[–] WhatAmLemmy@lemmy.world 1 points 3 months ago

I don't care. It's a corrosive force that causes them to pay for over priced CEO's and integrate services that nobody cares about into Firefox (like pocket) or that runs against their principles (container VPN's exclusive to Mozillas for-profit VPN).

[–] a_wild_mimic_appears@lemmy.dbzer0.com 0 points 4 months ago (1 children)

90% of their cash flow comes from google to be the default search engine - they are probably trying to open up alternative routes of funding to reduce the risk, since it's not guaranteed that the money will keep coming due to the current lawsuit.

[–] brucethemoose@lemmy.world 1 points 3 months ago

Right, I sympathize with that.

…But also it’s ridiculous. Like why should including a feature with “AI” in it get them VC money? Even if that’s kinda reality?

TBH they should just become a contributor to llama.cpp and market that somehow.

[–] acosmichippo@lemmy.world 0 points 4 months ago (1 children)

even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?

[–] exu@feditown.com 2 points 4 months ago (1 children)

I like the tab groups. I use them often at work to group an issue with related tabs and my attempts at solving it. Also makes it easier to pause work on one problem and work on something else because I have the tabs grouper and know exactly where to go back.

[–] woelkchen@lemmy.world 0 points 4 months ago (1 children)

I like the tab groups.

And nobody should stop you installing an extension that provides tab groups. I agree with the other commentator that some features can be left to extensions and don't need to be part of the core web browser, though.

[–] frongt@lemmy.zip 2 points 3 months ago (1 children)

True, but I'm not sure that an extension would have the necessary access to manipulate the browser like that. I don't think it should. A malicious extension could do horrible things.

[–] woelkchen@lemmy.world 1 points 3 months ago

I’m not sure that an extension would have the necessary access to manipulate the browser like that.

I don't know if they still do but they used to have. That, however, is something to discuss with the genius decision makers at Mozilla who decide to break extension APIs every couple of years. Firefox on Android still hasn't recovered from last time.