josters
Then also HNowledge[1], a free iOS app for browsing the HN stories and comments I've upvoted. Made it to fit the way I browse HN, which is upvoting mainly what I find interesting and may want to come back to. The app lets you browse by date, domain or score, add notes and export. Apart from syncing your upvotes from HN, everything stays local without any tracking.
[1]: https://apps.apple.com/us/app/hnowledge/id6813417548
Wanes[2], an Apple Health logging interface for tracking how long symptoms last. I tend to have headaches quite often and the way Apple lets you enter that data is pretty limited, so I created an app which starts a Live Activity for one or more symptoms using widgets, Control Center or Siri. You can change the severity rating while it runs and stop it from wherever you are on your phone (Home Screen, Lock Screen, Dynamic Island, Siri).
There are 4G mainboards you can buy and projects like https://www.nokia3310lteproject.com that aim to bring them into the modern world but for me these don't go far enough as they try to preserve the original UI. For me, the ideal device would be a 4G/GPS/Wi-Fi/Bluetooth-capable Nokia brick with modern interpretations of apps for maps, music, messaging etc. with optimized user interfaces for the limited screen space their tiny LCDs offer.
[1]: https://apps.apple.com/us/app/hnowledge/id6813417548
Wanes[2], an Apple Health logging interface for tracking how long symptoms last. I tend to have headaches quite often and the way Apple lets you enter that data is pretty limited, so I created an app which starts a Live Activity for one or more symptoms using widgets, Control Center or Siri. You can change the severity rating while it runs and stop it from wherever you are on your phone (Home Screen, Lock Screen, Dynamic Island, Siri).
Also still working through Civilization and Capitalism by Fernand Braudel.
What I finished recently and was really surprised by: Der Geisterbanner by Karl Friedrich Kahlert from 1792.
[1]: https://sunsit.io/
As it currently looks I need to design my own PCB with a modern LTE module and make it connect to all the peripherals. Thought it would be a nice project to get into electronics, soldering etc. Also really enjoying the constraints of an 84x48 LCD screen and how to implement "modern" technology like GPS navigation or design the UI for a music player.
I wonder where an increasing share of AI-generated entertainment vying for attention will take our skill for discerning aesthetics and creativity. Not only does it require the creator to actually care enough and go the extra mile to create something novel and maybe even outside of the generative realm, but it also requires enough people to be focused and attentive enough to then consume this with a similar discipline without solely relying on summaries and generated shortcuts (e.g., go to an art gallery, look at a painting, be present with it and define one's own meaning instead of watching a 15-second clip about it with AI-generated voice over and explanation text). In that vein I commend the project's constraint for the ideation phase to stay as analog as possible.
It also made me think of the Feynman Learning Technique[1] or learning by teaching in general: being able to accurately explain in simple terms requires to fully grasp the concept and noticing gaps in the explanation is an insight to the explainer to evaluate and understand those parts again at a deeper level. An AI arguably does not have this understanding and will happily drive home any point we have asked it to make.
In a way I think it's tied to the other discussion from today[2] where it was posited that domain knowledge makes you better at prompting LLMs and, consequently, would enable you to also better structure and evaluate explainers. But then again, explaining well is a different skill altogether.
[1]: https://en.wikipedia.org/wiki/Learning_by_teaching#Plastic_p... [2]: https://news.ycombinator.com/item?id=49161518
So, my reading is: if there would be some mechanism (or a third party) which obfuscates the server hash so that you cannot tie it back to the device hash and only tells you "we've seen this device already" it could be anonymous. Of course, it also heavily depends on what other data you associate with that.
On unique users: I wonder if there is a way to set this up to work similar to TelemetryDeck's double-hashing anonymization[1]. Did you look into that before deciding to go purely session-based?
[1]: https://telemetrydeck.com/docs/articles/anonymization-how-it...
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.
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."