rho50

@rho50@lemmy.nz

• ⁨Comment⁩ on ⁨Mozilla Firefox new alt-text generator powered by "fully private on-device AI model"⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  Power management is going to be a huge emerging issue with the deployment of transformer model inference to the edge.

  I foresee some backpedaling from this idea that “one model can do everything”. LLMs have their place, but sometimes a good old LSTM or CNN is a better choice.

• ⁨Comment⁩ on ⁨Mozilla Firefox new alt-text generator powered by "fully private on-device AI model"⁩ ⁨⁨5⁩ ⁨months⁩ ago⁩:

  Yeah, this is actually a pretty great application for AI. It’s local, privacy-preserving and genuinely useful for an underserved demographic.

  One of the most wholesome and actually useful applications for LLMs/CLIP that I’ve seen.

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  I don’t think it’s necessarily a bad thing that an AI got it wrong.

  I think the bigger issue is why the AI model got it wrong. It got the diagnosis wrong because it is a language model and is fundamentally not fit for use as a diagnostic tool. Not even a screening/aid tool for physicians.

  There are definitely AI tools designed for medical diagnoses, and those are indeed a major value-add for patients and physicians.

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  Precisely. Many of the narrowly scoped solutions work really well, too (for what they’re advertised for).

  As of today though, they’re nowhere near reliable enough to replace doctors, and any breakthrough on that front is very unlikely to be a language model IMO.

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  Exactly. So the organisations creating and serving these models need to be clearer about the fact that they’re not general purpose intelligence, and are in fact contextual language generators.

  I’ve seen demos of the models used as actual diagnostic aids, and they’re not LLMs (plus require a doctor to verify the result).

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  There are some very impressive AI/ML technologies that are already in use as part of existing medical software systems (think: a model that highlights suspicious areas on an MRI, or even suggests differential diagnoses). Further, other models have been built and demonstrated to perform extremely well on sample datasets.

  Funnily enough, those systems aren’t using language models 🙄

  (There is Google’s Med-PaLM, but I suspect it wasn’t very useful in practice, which is why we haven’t heard anything since the original announcement.)

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  It is quite terrifying that people think these unoriginal and inaccurate regurgitators of internet knowledge, with no concept of or heuristic for correctness… are somehow an authority on anything.

• ⁨Comment⁩ on ⁨But Claude said tumor!⁩ ⁨⁨7⁩ ⁨months⁩ ago⁩:

  I know of at least one other case in my social network where GPT-4 identified a gas bubble in someone’s large bowel as “likely to be an aggressive malignancy.” Leading to said person fully expecting they’d be dead by July, when in fact they were perfectly healthy.

  These things are not ready for primetime, and certainly not capable of doing the stuff that most people think they are.

  The misinformation is causing real harm.