The idea is to eventually offer a sun or shadow mode and the app will then surface areas, squares, and streets with more sun or shade and eventually offer walking and biking routes with more or less sun.

Especially with Ableton and something like ableton-mcp-extended[1] this can go quite far. After adapting it a bit to use less tokens for tool call outputs I could get decent performance on a local model to tell me what the current device settings on a given track were. Imagine this with a more powerful machine and things like "make the lead less harsh" or "make the bass bounce" set off a chain of automatically added devices with new and interesting parameter combinations to adjust to your taste.

In a way this becomes a bit like the inspiration-inducing setting of listening to a song which is playing in another room with closed doors: by being muffled, certain aspects of the track get highlighted which normally wouldn’t be perceived as prominently.

[1]: https://github.com/uisato/ableton-mcp-extended

I agree that the approach shouldn’t be done unsupervised but I can imagine it being useful to gain valuable insights for improving the product before real users even interact with it.

[1]: https://apps.apple.com/de/app/days-of-life-milestones/id6738...

I have placed it as one of the two bottom widgets on the lock screen which gives me immediate access to everything I need to capture a thought: a main note, the list where I want to store it (e.g., work or personal), the notes field if more context is needed, and I can flag it or schedule a reminder. The app then also has an optional auto-categorize feature which works quite well. Add to that reliable sync across devices and except for a good way to bulk export lists, this has everything I want from a quick draft and capture system.

Also, I don’t think the switch is as binary: these industry shifts tend to be more gradual where more experienced programmers adopt LLM tools to suit their workflow and newer developers still learn fundamentals because real-world engineering of complex systems quickly exposes a lack of understanding.

[1]: https://ianthehenry.com/posts/bauble/building-bauble/ [2]: https://github.com/ianthehenry/bauble

Abstract:

"Background: Globally, hot cooked refined rice is consumed in large quantities and is a major contributor to dietary glycaemic load. This study aimed to compare the glycaemic potency of hot- and cold-stored parboiled rice to widely available medium-grain white rice.

Method: Twenty-eight healthy volunteers participated in a three-treatment experiment where postprandial blood glucose was measured over 120 min after consumption of 140 g of rice. The three rice samples were freshly cooked medium-grain white rice, freshly cooked parboiled rice, and parboiled rice stored overnight at 4 °C. All rice was served warm at 65 °C. Chewing time was recorded.

Results: incremental area under the curve (iAUC) of the control rice, freshly cooked medium-grain white rice, was the highest: 1.7-fold higher (1.2, 2.6) than reheated parboiled rice (p < 0.001) and 1.5-fold higher (1.0, 2.2) than freshly cooked parboiled rice (p = 0.001). No significant difference in postprandial glycaemic response was observed between freshly cooked and reheated parboiled rice samples (p = 0.445). Chewing time for 10 g cold-stored parboiled rice was 6 s (25%) longer and was considered more palatable, visually appealing and better tasting than freshly cooked medium-grain (all p < 0.05).

Conclusions: For regular consumers of rice, reheating cooked rice after cold storage would lower the dietary glycaemic load and, in the long term, may reduce the risk for type 2 and gestational diabetes. More trials are needed to identify the significance."

[1]: https://pmc.ncbi.nlm.nih.gov/articles/PMC5452205/

[1] https://nobite.com/wp-content/uploads/2025/03/Nobite_Kleidun...

> The world is simmering gently, marked by active regional conflicts, deadly protests, and a severe flood, yet tempered by budding Gaza ceasefire talks and cooperative diplomatic meetings.

> While trade disputes and political probes contribute to tension, no large-scale escalations or catastrophic events push the situation beyond the usual range of global unrest.

I wonder how this is calculated and what would push the meter from normal over elevated to serious/extreme.

[1]: https://github.com/yamadashy/repomix