This, or it would be entirely outsourced to the highest commercial bidder which also happens to be something like Google, Meta or Palantir.

Samuel Cultman and his search for a suitable application.

That’s probably Machine Learning, the root category of tools and the origin of LLMs, not Large Language Models themselves we call ‘AI’. These have many applications they are efficient at gradually explored from the 80s I believe, while the AI boom involving Google, Meta, OpenAI and others is about generalistic chatbots that are bad in just about everything they used in. I’m putting that distinction not because I’m an ass, but because I don’t want the hype wave to get more credibility on the back of real scientifical and technological progress.

I thought I pasted it in the article field while posting it. Wtf.

Content becomes a lot bigger in size while we get too used to getting it immediately. I could’ve laughed and how I set a PC to torrent overnight in pre-100MB times, but with games liberally crossing 100GB line I can see myself going back to that.

Disadvantaged by having elon.

everyone claps

Google: Buildings collapse

OS reveal party and it’s a penguin.

It’s OurFlare, comrade.

Next headline: Climate Scientists Stroke a Deal With McDonalds to Get Their Research Funded.

(it didn’t hurt them since the most of the world in their graphs marked as red and yellow zones anyway, and the clown in the background fits them nicely)

Probably easier to do rather than laying your line through different jurisdictions and plots of someone’s property.

There are also some basics you’d probably won’t even register breaking without experience, going as far as pushing user credentials and personal data to an open git repository. I did that in my second pet project with just my temp keys to the cloud API, and github flagged that immediately. I guess, having at least the briefiest knowledge could’ve helped newbies avoid errors like that.

I don’t know if it’s bullshit or not, but I discovered that not every person has the mentality of seeing everything through an algorythmic lense, like detecting a repetition in a mundane task - and guessing, if it can be solved with a macro. I invented a lot of simple solutions, like these, or just combos of programs to optimize the workflow in my office, and I see not only my colleagues struggle to use these, many work for years in the least optimal way, even if the program itself, e.g. Excel, provides automated math equations - some still use calculators and put in the result by hand. It got me thinking, maybe IT isn’t for everyone, and other learning\working styles won’t benefit from such education even if it’s given - while acing in something else entirely?

The Uni I graduated from introduced basic coding into every programm, from engineering to humanities to arts. Everyone used chatgpt to get through it without a second glance because they didn’t even understood why they need that. Even management didn’t, I guess, but they wanted to check a box of ‘being modern and progressive’.

It should be explained and deeply inserted into each program with at least a couple of mixed half-IT disciplines, like Databases in Law Practice or Computer vision in QA or Automation in Accounting or MatPlotLib in Countative Studies or… As it was there, it’s an isolated course that’s the same for everyone, it’s on you to create a project connected to your main interest. And, as I heard, no one really made it besides getting a minimal sum to pass.

Basically, it needs effort and understanding from both sides.

ty very much