My first reading of the yet to be published EU Regulation on the European Approach for Artificial Intelligence, based on a leaked version, I find pretty good. A logical approach, laid out in the 92 recitals preceding the articles, based on risk assessment, where erosion of human and citizen rights or risk to key infrastructure and services and product safety is deemed high risk by definition. High risk means more strict conditions, following some of the building blocks of the GDPR, also when it comes to governance and penalties. Those conditions are tied to being allowed to put a product on the market, and are tied to how they perform in practice (not just how they’re intended). I find that an elegant combination, risk assessment based on citizen rights and critical systems, and connected to well-worn mechanisms of market access and market monitoring. It places those conditions on both producers and users, as well as other parties involved along the supply chain. The EU approach to data and AI align well this way it seems, and express the European geopolitical proposition concerning data and AI, centered on civic rights, into codified law. That codification, like the GDPR, is how the EU exports its norms to elsewhere.

The text should be published soon by the EC, and I’ll try a write-up in more detail then.

I am finally getting to learn AlfredApp Workflows. Previously they looked rather daunting to me.

Since I moved to a new laptop I’m learning to do more with AlfredApp (it is Mac only, and I use the paid PowerPack option). On my old laptop I first only used it for custom search, such as finding a business on Open Street Map. Later I added the automated expansion of text snippets, which saves me a lot of typing during the day.

AlfredApp also allows you to make Workflows, where you string together triggers, inputs, operators, actions and outputs to automate tasks on your machine. I had previously looked at Workflows but they seemed complicated to me, judging by some example workflows I downloaded that weren’t at all clear to me. Early this morning I came across this video of Automating All The Things, where Aron Korenblit talks with Chris Messina about using Workflows (it was early and I did not jot down where I found the vid, in someone’s RSS, mastodon stream or someplace else, so HT to whoever pushed it in my stream)

this is just a screenshot from the video that links to the video on YT, not a video player: I didn’t want to embed YT video.

This morning I reckoned I wasn’t going to watch a 87 minute video, but I was wrong (though I did jump forward a few times). Chris takes Aron through the basics of building your own Workflows, and I now get what they are and how to build my own. First I’ve added some fairly easy things, like having typing ‘read’ open up my fresh articles in my TinyTinyRSS feedreader instance, or typing ‘blog’ followed by a type of post, e.g. ‘blog bookmark’ open up the correct editing window for it. Next, I will be thinking through my local routines and context switches, and how I might be able to assist myself by automating them. The video starts with a few quick tips on how to make AlfredApp easier to access and use for yourself, so it can get embedded in your muscle memory.

This morning I watched parts of Andy Matuschak’s stream that shows him working on processing his thoughts and notes from a book he read.
It’s about 100 minutes of seeing him making notes….

There is much value in getting an insight in how other people actually do their work (the master-apprentice model is important for a reason), and it is not often you get to see how knowledge workers organise and do the things they do. It’s why I e.g. documented the way I currently use Obsidian for my PKM system. As a resource for my future self, and as a way to offer others a glimpse so they may take some part of it that fits with their own practices.

Andy Matuschak basically took the idea of live streaming your gaming adventures, to live stream a note taking session. And it’s highly fascinating. Because it shows it is actual work that takes time and energy, digesting a book, following lines of thought, doubling back, referencing earlier material, looking things up in the book in question etc. Also of interest is he is focusing on the tensions that what he read causes with other things he knows and has read. He’s not just lifting things out that chime with him, but the things that cause friction. Because in that friction lies the potential of learning.

I had come across this video earlier already this summer, and then only watched the first few minutes. Then I was expecting something else, that the video would show his set-up. I didn’t have time to watch someone go through their actual process. Now I re-encountered it in a different context and the video made much more sense this time 🙂

Browsing through Andy Matuschak’s public Digital Garden is also interesting to do.