deleted by creator

see: previous discussion

“AI is whatever hasn’t been done yet.”

• Larry Tesler

algorithmic approaches that are only colloquially referred to as “AI”. Artificial Intelligence is still science fiction

That’s why this joke definition of AI is still the best: “AI is whatever hasn’t been done yet.”

I have forgotten all working definitions of AI that CS professors gave except for this one 🙃

As in, I agree with your point. I just want to give a shoutout to the non-ML-based AI.

Let’s not forget about traditional AI, which have served us well for so long that we stopped thinking of them as AI.

AI is a super broad field that encompasses so many tech. It is not limited to the whatever the tech CEOs are pushing.

In this comment section alone, we see a couple examples of AI used in practical ways.

On a more personal level, surely you’d have played video games before? If you had to face any monster / bot opponents / etc, those are all considered AI. Depending on the game, stages / maps / environments may be procedurally generated - using AI techniques!

There are many more examples - e.g. pathfinding in map apps, translation apps -, just that we are all so familiar with them that we stopped thinking of them as AI.

So there are plenty of evidence for AI’s usefulness.

Because AI - in a very broad sense - is useful.

forced exploitation of untold millions of artists and creative laborers, without even so much as consent, let alone compensation…

In this case, is it AI that you truly hate?

I think this comment said it best.

Nevermind. You got me. Well-played.

It’s mentioned in the article.

Where are pemdas and bodmas users from?

Easy solution: wired mouse

This concierge approach is nothing new; it existed even before LLMs are a thing.

One of my courses in undergrad computer science is Human-Computer Interaction, in which we learn about user experience (UX) concepts.

One of the things we learnt is to validate our ideas quickly and cheaply before putting a lot of time, effort and money into building the thing.

To do so, what we can do is build prototypes. The early versions may be be low-fidelity (lofi) and are scrappy. The later, high-fidelity (hifi) ones would mimic the functionality of the actual products, and may even appear to work to end users when in reality it could be just be manual effort behind the scenes.

The example given during lecture is the development of a ticketing system. To test the idea out, one could simply get a dude to sit in the “machine” and give out slips of paper.

Anyway, I am explaining all these because this seems like a surprise to those without the same educational background. Long story short, what this startup did is completely normal in the realm of software.

We may have better tools like Figma to simulate browser / mobile frontend experiences, but nothing is stopping us from going back to the basics and doing it this way.

TIL NFTs must be generated via blockchain to be considered NFTs.

My understanding is that HFTs - which are highly profitable - likely use some AI-techniques.

(Though I doubt that they are using LLMs - or at the very least, the ones we are familiar with.)

Well-played.

but not calculus or set theory

My computer science curriculum covered calculus - perhaps not as rigorously as the mathematical sciences, but enough for it to be “working” knowledge (personally, I’ve forgotten 90% of it since graduation).

Plus, I am sure a computer science teacher should be at least familiar with these topics, or be capable of picking them up.

That’s basically every trash isekai anime / manga / light novel.