For example, analog computers can differentiate near instantly by leveraging the nature of electromagnetism and you can do very basic analogs of complex equations by just connecting containers of water together in certain (very specific) configurations. Are we sure that these optimizations to get us to AGI are possible without abusing the physical nature of the world? This is without even touching the hot mess that is quantum mechanics and its role in chemistry which in turn affects biology. I wouldn't put it past evolution to have stumbled upon some quantum mechanic that allowed for the emergence of general intelligence.

I'm super interested in anything discussing this but have very limited exposure to the literature in this space.

I ended up thinking that you'd need to do a chemical battery to bootstrap electricity and then with electricity generate the electromagnet to create stronger magnets and then iterate from there.

Your next stumbling block from there would be optics as everything else can be made with horrible tolerances. Even lathes and similar machinery can be made with pretty good tolerances without optics. But when you start needing time keeping or miniaturizing components for improved efficiencies, it becomes a blocking issue.

You also need to discover photo-reactive elements to do lithography, but that's a lot easier since it's just silver nitrate and you'd already have the components when you are working towards the initiate bootstrap battery.

This lets me create dashboards to see usage for certain topics. For example, I have a "Dev Browser" which tracks the latest sites I've visited that are related to development topics [1]. I similarly have a few for all the online reading I do. One for blogs, one for fanfiction, and one for webfiction in general.

I've talked about my first iteration before on here [2].

My second iteration ended up with a userscript which sends the data on the sites I visit to a Vector instance (no affiliation; [3]). Vector is in there because for certain sites (ie. those behind draconian Cloudflare configuration), I want to save a local copy of the site. So Vector can pop that field save it to a local minio instance and at the same time push the rest of the record to something like Grafana Loki and Postgres while being very fast.

I've started looking into a third iteration utilizing MITMproxy. It helps a lot with saving local copies since it's happening outside of the browser, so I don't feel the hitch when a page is inordinately heavy for whatever reason. It also is very nice that it'd work with all browsers just by setting a proxy which means I could set it up for my phone both as a normal proxy or as a wireguard "transparent" proxy. Only need to set up certificates for it work.

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[1] https://raw.githubusercontent.com/zamu-flowerpot/zamu-flower... [2] https://news.ycombinator.com/item?id=31429221 [3] http://vector.dev

Or for really common cases (ie. turn it on and off, you're affected by an outage, etc), redirect them to an prerecorded message and then let them know that they are still in the queue and can wait for a person. 9/10 it'll solve everything, but also reduce friction of simple things that might be answered.

I used to run Ghost for this, but at some point the pervasive push to use Ghost's paid features for an internally hosted blog irked me enough to rip it out.

The entire point is not to just mindlessly consume a code base, but instead form an idea of how to approach the problem and then see if your hypothesis is correct. Then comparing your approach to the actual approach.

This can show you things that you might've missed taking into account.

For example, gallery-dl's incidental complexity all lies in centralizing persistent state, logging, and IO through the CLI. It doesn't have sufficient abstraction to allow it to be rewired to different UIs without relying on internal APIs that have no guarantee that won't change.

Meanwhile a similar application in yt-dlp has that abstraction and works better, but has similar complexity in the configuration side of things.

Had a few woes compiling it due to my laptops configuration, but once compiled it works with everything I would reasonably throw at it.

1. it is another way to conceptualize an idea. For most purposes this might not be relevant, but who knows where a hard accounting problem might be resolved through the application of graph theory (or the inverse!).

2. it is another way to visualize flows. Not everyone is financially literate or numerically inclined, so instead of handing them a table of columns of numbers and having them reason about the flows numerically, it lets you represent the flows spatially which maybe easier. After all, not all tools are for professionals.

Additionally, while the cumulative history in one graph might be much, simply adding filters based on transaction date might provide non-obvious insight that other visualizations miss. I can see this probably being even more helpful by cross referencing other information such as location.

Without wide adoption, it's at best an interesting research project. A really cool project I want to work with, but not something I can reasonably bring up.