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Show HN: GlycemicGPT – Open-source AI-powered diabetes management

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Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#11

Post by pimeys »

mhovd wrote: post #7

The risk to benefits ratio of introducing a language model to interpret so clear signals is nowhere near justified. Monitoring and analytics is important, but it is a solved problem. A language model will only be able to hallucinate about the relationship between meals and glycemic response. At best it does no harm, at worst it can directly misinform.

Yep. The oref1 algorithm is amazing and proven to make diabetic's quality of life better, AND SAFE. I don't understand why would you need to add AI to that mix.

But I will check this algo out. Maybe it has some interesting bits.

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#13

Post by pimeys »

surgicalcoder wrote: post #3

I'm a T1D who has an insulin pump looping with AndroidAPS and NightScout, what does this give you that Nightscout and Autotune doesn't give you? And how do you deal with AI hallucinations?

I think the only thing that could be made better is tuning the I:C/ISF/Basal values automatically. And ISF is already handled by DynamicISF, while not perfect it reduces the variables you have to tweak.

Otherwise, when tuned correctly, oref1 et.al. provide amazing results and are safe. Hard to understand where I would use LLMs in this.

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#14

Post by AnthonBerg »

Went through pregnancy with the mother having recently-diagnosed T1 diabetes – just barely not killed by grave neglect on behalf of healthcare due to how badly they missed the diagnosis to begin with.

On your work:

this is legit

it is appreciated

Hats off, I salute this, thank you

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#17

Post by AnthonBerg »

mhovd wrote: post #7

The risk to benefits ratio of introducing a language model to interpret so clear signals is nowhere near justified. Monitoring and analytics is important, but it is a solved problem. A language model will only be able to hallucinate about the relationship between meals and glycemic response. At best it does no harm, at worst it can directly misinform.

My experience is completely the opposite, of using LLMs to pattern match and cast diagnostic nets.

Is your perspective based on, say, opinionated principle?, or experience?

The benefits are enormous.

The risks; What risks? No diabetic with baseline adult competence is going to drive their insulin-delivery vehicle off a cliff because some app said so.

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#18

Post by pferde »

AnthonBerg wrote: post #17
mhovd wrote: post #7

The risk to benefits ratio of introducing a language model to interpret so clear signals is nowhere near justified. Monitoring and analytics is important, but it is a solved problem. A language model will only be able to hallucinate about the relationship between meals and glycemic response. At best it does no harm, at worst it can directly misinform.

My experience is completely the opposite, of using LLMs to pattern match and cast diagnostic nets. Is your perspective based on, say, opinionated principle?, or experience? The benefits are enormous. The risks; What risks? No diabetic with baseline adult competence is going to drive their insulin-delivery vehicle off a cliff because some app said so.

I think you're being too optimistic about your fellow humans' judgement. "Death by GPS" is a quite common occurrence: https://www.sciencedirect.com/science/article/abs/pii/S13550...

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#19

Post by vsaravind007 »

Looks interesting, being a Whoop user for the last few years, I have seen for myself that their AI Coach/AI based suggestions are a hit or miss 3 out of 10 times, slightly concerned about how accurate this will. Not a diabetic patient, but I do monitor my levels with a CGM from time to time, will definitely check it out!

Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management

#20

Post by MassiveOwl »

I've done this with the Libre 2 sensor. I added Gemini to it. It gets like 2 weeks of readings at once, and the user can "chat to their data". I added a meals tool as well, where the user can photo their meal, and the ai estimates the impact on the readings.

It's so helpful to offload some the thinking about the condition to ai, all these people moaning about 'muh safety' don't get it. T1D suffers have to think about it all day all the time. A person doesn't have their own blood glucose data in their head.

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