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Pshh, I’m working on an AI blockchain cloud based customer first smart learning adaptive agile Air Fryer that will blow the competition away.
Please tell me it has individually packaged chicken nugget pods with DRM and more plastic waste than food 🤤
Does it have a voice assistant so it can be voice controlled and totally not to violate our privacy?
That’s some real blue-sky thinking
Nah, I’m only interested in deep learning
Boy do I have the product for you: https://youtu.be/F_HOrMmWoMA?si=sNxyxbwaKOnZiPqW
I’m in.
Me too, but I make pathfinding algorithms for video game characters. The truly classic Artificial Intelligence.
I appreciate your work. Rock and Stone.
Did I hear a Rock and Stone!?
I still remember fighting grunts in the original half life for the first time and being blown away. Your work makes games great!
It’s been a while since I looked at how Valve does it but it could be called a primitive expert system. And while the HL1 grunts were extraordinary for their time, HL2’s combine grunts are still pretty much the gold standard. Without the AI leaking information to the player via radio chatter it would feel very much like the AI is cheating because yes, HL2’s grunts are better at tactics than 99.99% of humans. It also helps that you’re a bullet sponge so them outsmarting you, like leading you into an ambush, doesn’t necessarily mean that you’re done for.
OTOH they’re a couple of pages of state-machines that would have no idea what to do in the real world.
Also, for the record: “AI” in gamedev basically means “autonomous agent in the game world not controlled by the player”. A “follow the ball” algorithm (hardly can be called that) playing pong against you is AI in that sense. Machine learning approaches are quite rare, and if then you’d use something like NEAT, not the gazillion-parameter neutral nets used for LLMs and diffusion models. If you tell NEAT to, say, drive a virtual car it’ll spit out a network with a couple of neurons, and be very good at doing that but be useless for anything else but that doesn’t matter you have an enemy AI for your racer. Which probably is even too good, again, so you have to nerf it.
<sweats in Opposing Force>
So many walls being ran into over the years!
LLMs (or really ChatGPT and MS Copilot) having hijacked the term “AI” is really annoying.
In more than one questionnaire or discussion:
Q: “Do you use AI at work?”
A: “Yes, I make and train CNN (find and label items in images) models etc.”
Q: “How has AI influenced your productivity at work?”
A: ???
Can’t mention AI or machine learning in public without people instantly thinking about LLM.
I imagine this is how everyone who worked in cryptography felt once cryptocurrency claimed the word “crypto”
Luckily that was only the abbreviation and not the actual word. I know that language changes all the time, constantly, but I still find it annoying when a properly established and widely (within reason) used term gets appropriated and hijacked.
I mean, I guess it happens all the time in with fiction, and in sciences you sometimes run into a situation where an old term just does not fit new observations, but please keep your slimy, grubby, way-too-adhesive, klepto-grappers away from my perfectly fine professional umbrella terms. :(
Please excuse my rant.
I’m still mad that ML was stolen and doesn’t make people think about the ML family of programming languages anymore.
We are just taking “crypto” back to mean something useful. It was just a matter of some stupid people losing enough money.
I hope in a few years we can take “AI” back too.
“AI” will never shake the connotations science fiction has given it. The association is always going to skew towards positronic brains and Commander Data.
In the world of Actual Machines, “AI” is a term that should barely be tolerated in advertising departments, let alone anything remotely close to R&D
AI will be taken back.
spoiler
by avian influenza
As an older developer, you could replace “machine learning” with “statistical modeling” and “artificial intelligence” with “machine learning”.
“I’m into if statements lately”
“It’s the same picture.”
I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.
fuzzy logic
I hear this all the time in my field.
“Can you just fuzzy match the records between the systems?”
We used to distinguish AI as automatically / programmatically making a decision based on an ML model, but I’m guilty of calling it AI for wow factor, lol.
Now I have to be careful because AI = LLMs in common language .
Investors are such emotionally led beings
My old coworker used to say this all the time back around 2018:
"What’s the difference between AI and machine learning?
Machine learning is done in Python. AI is done in PowerPoint."
There needs to be a new taunting community for this mlm similar to the one for #buttcoin.
!fuck_ai@lemmy.world and sometimes !sneerclub@awful.systems
This should be at !programmer_humor@programming.dev
