• 5 Posts
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Joined 3 years ago
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Cake day: June 25th, 2023

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  • frankly, anything that allows the practitioner to focus more solely on the patient is a good thing.

    Absolutely.

    on device AI pull out relevant bits to populate a template.

    As long as it’s on device (or local network, I’d be fine with a e.g. a server for a practice, but say a macbook pro should do the job fine, with full disclosure to patients) it’s OK. Indeed go ahead and use whatever voice transcription / processing you want e.g. whisper or QWEN LLM, don’t care as long as it’s local. The article however cites ‘Heidi health AI/ Microsoft’, and my policy for anything with AI in the title is ‘distrust unless verified’ especially wrt health data.

    Admittedly I don’t know ‘Heidi health AI/ Microsoft’ from a box of nails, but Microsoft’s fingers in the pie spooks me immediately. Frankly no commercial AI presents as trustworthy enough for sensitive data in general and incoming IPOs are only going to make that worse as they desperately seek monetization.




  • Sounds like all you need is an Ext4 USB drive with a LUKS key on it. Then add kernel parameters like

    rd.luks.key=UUID=/.keys/TheKey:LABEL=KEYS rd.luks.options=discard,keyfile-timeout=10s

    in GRUB and it’ll autoboot.

    Pull the key and power down and you’re back to normal. I use it in a low threat model environment so I can hit reboot and go get a coffee and come back to a DE.

    ETA: sorry, got the timeout format wrong, I don’t use it.





  • Its a little bit like having a really competent security researcher go deep through your complete codebase just really fast and with improved recall.

    I doubt that, more of a force multiplier for security researchers at this stage (perhaps always for LLMs without an architecture leap) IMO. Otherwise I generally agree. It’s responsible to take this approach perhaps, but mostly marketing. Still let’s not kid ourselves it isn’t happening at scale already. Plenty of open weights models can also force multiply a competent security researcher, either black or white hat. Mythos isn’t a quantum leap or anything, just 4.7.

    Anybody working with software knows marketing people promise the world and understand nothing. Pretty sure they just heard “black magic” and ran with it.

    Heh, yup.