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Joined 7 months ago
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Cake day: July 4th, 2024

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  • So… as far as I understand from this thread, it’s basically a finished model (llama or qwen) which is then fine tuned using an unknown dataset? That’d explain the claimed 6M training cost, hiding the fact that the heavy lifting has been made by others (US of A’s Meta in this case). Nothing revolutionary to see here, I guess. Small improvements are nice to have, though. I wonder how their smallest models perform, are they any better than llama3.2:8b?















  • Android, afaik, is less secure by default to begin with. More freedom, more options to customize, more attack surface. Also, just because Cellebrite can’t pwn iOS 17.4 yet, doesn’t mean it can’t do it a month ahead from now.

    Another very important factor I can see is Apple’s walled garden, where they could literally remote control your device. Through the new rapid security response (or whatever they called it in marketing wank) they can push updates to all active iOS devices more or less overnight - at least if the vulnerability is known to them and they have a patch. Compare that with Android where some devices don’t receive any updates after the initial release.