Who can blame them when the industry itself misrepresents its product, starting with the name.
You’re providing a prime example of misunderstanding. The term AI has been in professional use for a wide variety of algorithms, including machine learning and neural nets like LLMs, since the Dartmouth conference in 1956. It’s the people who only know what AI is like from Star Trek and other such sources that are misinformed.
As a programmer intimately familiar with LLMs and training evaluation… would you mind if I rephrased your comment to “How dare you use the common meaning of our obscure industry jargon that’s mostly just marketing bullshit anyways!”
The ship for “What does AI mean?” has fucking sailed. AI is an awful term that, in my experience, is vanishingly rarely used by developers outside of “Robots that will kill us” and “Marketing bullshit” th3 term needs to die - it implies something much closer to “AGI in a mechasuit with miniguns” rather than “My python code can recognize fuzzy numbers!”
Do we have a better word for what has historically been known as AI? I see lots of complaints about X not being AI, but no proposal for what to call them.
You’re technically correct, but these products are marketed as though they were like Star Trek’s computer. Do you think it’s a coincidence that Google Assistant’s codename was “Project Majel”?
I don’t see what this has to do with the meaning of the term AI.
If a marketing department somewhere starts trying to push the slogan “ice cream for your car!” As a way to sell gasoline, would it make sense to start complaining that the stuff Ben & Jerry’s is selling isn’t actually gasoline?
Almost half of Canadians know little about Windows, MacOS, Android, iOS, Linux, tcp/ip networking, file formats, disk partitioning, encryption, SSL certificates…
There are a thousand things that Canadians SHOULD know about before they even think about ‘AI’.
Problem is people treat their computers and programs exactly like they treat their cars … as long as it starts and goes they don’t care. But when there’s a problem all hell breaks loose.
Companies do the same thing, putting less importance on IT depts than stock buy backs.
And the rest overestimate how much they know.
To any Canadians who don’t know - it’s marketing bullshit. Taco Bell talking about the “crunch factor” of their latest creation is more meaningful than some company saying “We do it with AI now.”
Idk if I understand AI. By AI does it mean it can think and not a glorified if-else statement? Is AI different from machine learning? Idk man.
When people talk about AI, they’re generally referring to systems or machines that can perform tasks which typically require human intelligence. These tasks might include things like recognizing speech, translating languages, or making decisions. AI isn’t about simulating human consciousness or emotions but about replicating the ability to perform specific intelligent tasks.
AI systems can range from simple, rule-based algorithms (which might seem like glorified if-else statements) to complex, learning systems. This is where machine learning comes in. Machine learning is actually a subset of AI. It’s a way of achieving AI where the system learns from data. Instead of being explicitly programmed to perform a task, the system is given huge amounts of data and learns patterns or rules from it. Over time, it can make predictions or decisions based on what it has learned.
So, not all AI is machine learning, but all machine learning is AI. Hope this clears things up a bit!
In that case, what’s an instance of AI that doesn’t utilize machine learning?
I would say in most videogames you can play against the computer (Age of Empires, Call of Duty, etc.), which use human-set rules without machine learning. Computer enemies show the same behavior, regardless of your specific knowledge of the game. I think nowadays there may already be some games where the computer learns from your behavior by machine learning, but this is not the norm.
There were also chatbots before ChatGPT existed, which in their most basic form give human programmed answers to specific questions.
