Your comment EXACTLY mirrors my experience. Week 1 was ever expanding prompts, and degrading performance. Week 2 has been all about actually defining the objects precisely (notes, tasks, projects, people etc) and defining methods for performing well defined operations against these objects. The agent surface has, as you rightly point out, shrunk to a translation layer that converts natural language to commands and args that pass the input validator.

https://github.com/riazarbi/way

I've always taken the elite overproduction thing as an _analytical tool_ to help us make sense of why we have experienced the rise of an oppositional anti intellectual position in contemporary culture.

But you make the good point that it can also be a _weapon_, leveraged by those oppositional groups, to justify their oppositional position.

Perhaps this seeming tautology can be resolved with some systems thinking. Maybe there's some insight in the elite overproduction analysis, but that means that, as an argument for further polarising society it's a pretty effective tool. It's actually reinforcing the feedback loop! A fascinating example of a self fulfilling prophecy.

Completely separate from the substance of your point, this sort of language does not encourage constructive dialog, it frames the discussion in such a way that you are either going to get

a. People who agree with you, resulting in you not learning anything b. People who are triggered into fighting with you, once again, resulting in you not learning anything c. People ignoring you, resulting in you not learning anything.

My constructive suggestion to you is that you simply don't write that first sentence. I suspect you (and everyone else!) will have a much more fruitful time online as a result!

Edit: Spelling correction

Git LFS for workbook + the following prompt :

“Create a commit explains what has changed in the workbook since the last commit. Be brief, but explain the change in business terms as well as code change terms.”

Jokes aside, I have been aware of System Cards for a while, but found them sort of irrelevant. As the tide of AI has started lapping at my profession, and I have found myself suddenly spending 1/4 of my day trying out Shiny New Stuff, Model Cards suddenly seem immensely interesting and useful.

I hope that the industry keeps publishing them, even if there is a muted response, because they are quite valuable snapshots of the state of the art, as measured against interesting dimensions, at a particular point in time.

Someone is going to collate all these model cards on a timeline and plot some charts into a _killer_ blog post in about 5 years.

Two weaknesses of the project are spotty / outdated / unclear documentation and support. This is not because the community doesn't care, it's because keeping the documentation up to date is hard. And support is hard, because you have like 3 core commenters on the forum answering 90% of questions. They know the stuff inside out, but they take strain from having to answer 'my hello world is broken' type questions over and over again.

It's hard to demonstrate this to software people. You know the endless 'works on my machine' swamps people would get stuck in in the bad old days? Imagine that, but you also have no assurance that the machine the person is using has a hard drive connected, or a cooling fan. You have to cover _all_ the hardware related root causes before you can even begin to address and software related issues people run into.

I think the best support this community could get is more resources dedicated to documentation and support. That would also serve to make the learning curve less steep.

EDIT: I think it's also worth saying that once you set one of these once, it becomes very easy. It's just figuring it out the first time that's hard. If anyone buys one and has trouble, hit me up and maybe I can help.

At present, the Zombieverter supports:

Chademo CCS by interfacing with the BMW i3 LIM CCS by interfacing with the open source FOCCCI CCS controller.

The FOCCCI CCS controller is an associated project. See https://openinverter.org/wiki/Foccci

FOCCCI is the newest kid on the block, but it has been successfully integrated into several conversions now.

If you like, you can leave it on and monitor your EV data via the web interface. But if the D1 flakes out the VCU will be unaffected.

The netlify app is a fork, like a code fork, of the original document. Which is to say, they have taken the original work, transcribed it to a digital format, and will now evolve it.

I don't know if that just went way over my head or if it was not clearly communicated, but there you have it.

But I managed to track it down elsewhere. I've thrown it onto my static site, so that it's easy to get to. My understanding is that it's in the public domain, so this is fine. If I get told otherwise I'll take it down.

https://riazarbi.github.io/files/Work%20simplification%20as%...

My best answer is that listening to the VoA as a kid was just way more fun than the BBC. And maybe it being propaganda was a big reason for that. Stories were simple, there were good guys and bad guys, science was awesome and we might make it to Mars by the year 2000.

As I got older, I started to see that things weren’t so simple, I wanted unbiased, or at least balanced, reporting about the region I lived in, and then BBC Africa took over.

Archive.org has a copy, here - https://archive.org/details/worksimplificati00coxj

Until the mid 2000s, if you good good enough grades at _any_ high school in the country, the government would foot the entire bill (tuition, board, stipend) to send you to a foreign university for the entirety of your degree. The only requirement was that you returned to Botswana to work back your tuition cost. Probably hundreds of thousands (and that's a lot in a country of 2 million people) of people benefited from this program.

Is it perfect? No. Do citizens have the same opportunities as an average person from an OECD country? Not even close. But you have to appreciate the incredibly low base Botswana started from, and how the government has spent the entirety of its existence ploughing resources into improving the human capital of its citizens.