Mozilla under fire for Firefox AI "bloat" that blows up CPU and drains battery
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First thing I did when some hey we added AI... was to right-click and disable it.
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Holy fucking shit. I swear to God, I had to download chromium because running Jupiter lab in browser ate through 22gb of ram and got my shit OOM killed. If this is what's causing it I stg. I'm not even using vanilla Firefox, but the Zen fork got tebased on v141 right before this happened
Sounds kind a jupyter lab issue
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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.
even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
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Sounds kind a jupyter lab issue
Julyterlab has been pinned for multiple versions now and the issue only started happening on the latest Firefox update. Still works fine in chromium
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Instead of capitalising on Google pissing off power users with its crusade against adblockers, why the hell is Mozilla fucking up so hard here? Seriously, which chain of command green lit all of this and didn't even think this would be remotely an issue?
Even if they wanted to bank on the adblocker thing I imagine they can't because they have to stay in Google's good graces. Like 90% of their revenue was google money, and has been for years now.
At this point I'd honestly even pay for a privacy focused mozilla browser that is clean of all this crap, just to keep them afloat, but fat chance of that happening.
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even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
No, but I think the idea of a second layer of organization to tabs is a wonderful idea. Maybe not a gig of RAM to sort them, sure.
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No, but I think the idea of a second layer of organization to tabs is a wonderful idea. Maybe not a gig of RAM to sort them, sure.
FF already has tab groups. Right click on one.
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even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
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.
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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.
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.
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even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
Yes, especially at work. Different tasks, different tab groups. Once the task is done, the group dies. Really useful when working on multiple tasks at "the same time".
Pair that with multi account containers and temporary containers and it's a godsend tool for web dev.
Now does that need AI in any capacity? Absolutely not! I'm more upset that they're even considering such thing because ir sounds utterly useless. A browser should do the browser things and get out of my way.
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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.
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.
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Mozilla does it again, adding useless crap.
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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.
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.
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browser.ml.chat.enabled falseYou only disable the chat. Overall setting seems to be
browser.ml.enable. -
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.
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?
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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?
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.
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even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
I started using tab groups when they released vertical tabs.
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use ironfox for android, it's the continuation of Mull
Mull has stopped develop? 🥺
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even without AI, to me tab groups are already feature creep bloat in browsers. do people really put that much effort into organizing tabs?
For work at any given point I have 17-20 tabs open. It's totally useful for me to sort them into tabs to cut out the "noise" when I'm doing research.
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I just use Librewolf so its removed by default.
