I'm developing a simple video processing and generation library for Python focusing on short-form videos (think TikTok or Youtube Shorts) and ease of use for humans and AI agents https://github.com/BartWojtowicz/videopython
Lately I think more and more about the famous IBM quote - "A computer can never be held accountable, therefore a computer must never make a management decision."
I think this also applies to current AI solutions and I think that's precisely why the best workers will be humans who both use AI and will put their accountability at stake.
Management is routinely unaccountable and extremely good at avoiding accountability. If this is the difference, humans cant do management decisions either.
Whether management can be held accountable is a question of will. The difference is that they can be held accountable if people so choose, whereas a computer never can.
Maybe a decade ago, I wanted to have some fun with a corporate structure.
One thing I wanted to do, was setup an AI as CEO and board member of a small company. Then, all pay for contracts I do would flow through that entity.
This was going to be simple algo AI, with pre-scripted decisions including "hire an expert for unknown issues" then "vote yes to expert's solution". The expert always being me, of course, under contract.
I'd take a much lower hourly rate for normal rech work, and instead keep capital in the business. The business would buy an old warehouse, have servers, and a guard.
I'd be hired as the guard too.
You can hire guards with the requirement they sleep on site. In such a case the lodging isn't income, as it is required for the job.
So I could take a very low hourly rate, and maybe options in shares.
And of course the car would be corporate leased, and all that.
This is perfectly legit setup in my tax jurisdiction, except for the AI part. Back then, I had two goals.
The first was a way to amusingly conceal where I live. It bugs me that I have to disclose this. The second was to keep as much of my earnings in a corporation, and the mortgage also gave the corporation an asset with increasing value.
But my name would not be on the registration for the company as a board member. Or CEO.
And in fact my relationship to the company would be under contract as a sole proprietor, so no need to file certain employee laden paperwork.
Upon retirement, I could cash out the company in a variety of ways, after exercising my options.
(The company would also be required to help with a bridge loan for this)
Can’t you pull of something similar using irrevocable trusts ? Overly simplified, but have a trust registered through an agent you trust( ha ha), have them add you as a trustee, they then resign?
I love it, I was looking for a simple music player like this! FYI Currently the standard bookmark shortcut `cmd + d` changes the theme instead of bookmarking the website :-)
They will have ~1.5 years of runway forever, since the Foundation tries to spend away any money it receives to justify pressing increasingly aggressive fundraisers. The site offers the same service as 15 years ago while ingesting 10x more money, none of which goes to the content producers.
There's been a ton of development in Wikipedia "sister projects", all of which ultimately benefit Wikipedia itself and the free content ecosystem more broadly. It makes no sense to say that "they provide the same thing as 15 years ago".
Right now at 14:54:05 UTC, it seems like Intimacy is at 0.16% and Warfare at 0.10%, so we got that going for us at least. Moving in the right direction at least.
Agree, Undertale is absolutely brilliant in that aspect. Especially the beginning (the part that is in the demo version). The mood changes after that, for the worse I thought. Things got a bit more silly/naive than I like. The ending is absolutely brilliant again, tough, in the same way (it is a reflection on game mechanics). It is not 4h because you'll want to retry some parts.
Coming from non-Haskell background, it took me a good while to undestand that `Just` is a constructor specific to the `Maybe` type. Found this for a quite nice answer: https://stackoverflow.com/a/18809252
First, as everyone here said: finish your degree, it will surely help with relocation and job search.
I have a very similar experience to yours (didn't like the analytics side of Data Science) and my advice would be to look into ML engineering roles. ML engineering is heavily SWE-oriented, sort of an intersection between Data Science and Software Engineering. I switched to ML engineer and I totally love it, you get to learn tons of cool SWE stuff (Docker, kubernetes, linux, cloud, ci/cd) and you're still close to newest ML research, which I love :)
