Almost AGI? The latest AI models still haven’t shown they can beat humans at carb counting…
This is a follow-up to I asked AI to count my carbs 27,000 times. It couldn’t give me the same answer twice. The full preprint […]
AI
Bolt AI into your loop and you might just have become a medical device manufacturer
Embedded AI is starting to appear in open source AID systems, offered as copy and paste, bring your own key, or a service the project runs. A year of measuring these models says the clinical risk is much the same in all three. The regulatory position is not, and the intuition about which is safest runs backwards.
The world’s first digital endo that asks AI to fix your AID settings, and why you should keep your money.
Ask once and you get an answer. Ask fifty times and you get eighteen different pairs of safety limits, a headline that flips one time in five, and an app that accepts them all. Inside the £4.49 app that turns your diabetes data into chatbot advice on your OS-AID settings.
A world of pure imagination: AI, diabetes and the data we can’t get at
Search the app stores for diabetes and AI and you will find a remarkable number of applications doing exactly one thing. You point a camera […]
Why is the cheese sandwich the downfall of AI carb counting, even with “3D scanning”?
A slightly rhetorical question, I’ll admit, but a pertinent one. Once again, I have been trying out the latest (read most heavily pushed on Facebook […]
Five AI models, three users, one finding: the settings came from the textbook, not the data
We took Nightscout data from three people and gave it to 5 Large Language Models with a detailed prompt to see how they would respond.
The results weren’t what I was expecting.
Explore a Decade of Diabetes Insights with Diabettech AI
After 10+ years of documenting the diabetes landscape, Diabettech is launching diabettech.ai—a custom research tool designed to help you navigate a decade’s worth of articles and reports. Powered by an LLM interface, this tool allows you to “interrogate” the site’s data to find specific answers on everything from cures to n=1 observations.
Key highlights of the beta launch:
Targeted Accuracy: Built to stick strictly to Diabettech articles and comments to minimize “hallucinations.”
Research-Focused: Optimized as a precision tool rather than a standard chatbot to provide relevant article links.
Sustainable Design: Privately funded and optimized for efficiency to manage resource costs and query speeds.
Ready to dive into the archives? Visit diabettech.ai to start your research and share your feedback on the beta experience.
ChatGPT Health: Promise, Practicality, and the Reality for People with Diabetes
Artificial intelligence has been hovering around diabetes care for a while now, usually wrapped in glossy demos and ambitious claims. Carb-counting apps that “just work”. […]
Beyond Snaq-qing. Digesting your glucose patterns.
I spent a long time discussing Snaq’s use of AI for food recognition in the previous article. In this one, I’m looking at what it […]
Snaq. A diabetes AI to help you carb count. Badly.
Here we review Snaq, a diabetes management app that aims to simplify carb counting through food photo recognition. Despite its functionality, the app struggles with food identification and portion sizes, often leading to inaccurate outputs. Users must contribute data to improve its learning, raising concerns about its subscription cost versus effectiveness.