MemoryCache, a Mozilla Innovation Project
memorycache.ai
MemoryCache is an experimental developer project to turn a local desktop environment into an on-device AI agent.
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MemoryCache is an experimental developer project to turn a local desktop environment into an on-device AI agent.
Open source project focused on giving people features they want but in a privacy and censorship resistant way. Classic Moz
Seriously, what's with all the Mozilla hate on Lemmy? People bitch about almost everything they do. Sometimes it feels like, because it's non-profit/open-source, people have this idealized vision of a monastery full of impoverished, but zealous, single-minded monks working feverishly and never deviating from a very tiny mission.
Cards on the table, I remain an AI skeptic, but I also recognize that it's not going anywhere anytime soon. I vastly prefer to see folks like Mozilla branching out into the space a little than to have them ignore it entirely and cede the space to corporate interests/advertisers.
because "oh no Mozilla foundation bad" "they take google money"
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That seems more aligned with their mission of fighting misinformation on the web. It looks like fake spot was an acquisition so hopefully efforts like the ones mentioned in this post better help aligne this with their other goals.
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What I'm saying is Mozzilla, from my understanding, didn't set out to do that but instead aqquired a business that was in order to use their services to fight misinformation. We should pressure them to reform the new part of business to better align with the rest of Mozzilla's goals.
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but it is not a feature i want. not now, not ever. An inbuilt bullshit generator, now with less training and more bullshit is not something I ever asked for.
Training one of these ais requires huge datacenters, insanely huge datasets and millions of dollars in resources. And I'm supposed to believe one will be effectively trained by the pittance of data generated by browsing?
Yes but I like it, so where do we go from here?
You clearly are wrong and you should feel bad /s
Fine tunning is more possible on end user hardware. You also have projects like hive mind and petals that working on distributed training and inference systems to deal with the concentration effects of this you described for base models.