Very limited real-world use for it. As always, the Silicon Valley propaganda machine is overstating the progression of technology and using rigged demos to convince the public that we're on the cusp of a technogical revolution. Don't buy the snake oil. The reality is that things like robotics are progressing at a snail's pace. It will be 500 years before there is a robot that can flip a hamburger for real, and it will probably not be powered by "AI" anyhow. Plus, if AI were powerful, of course it wouldn't be leveraged by "tech" companies to build something useful; it'll be leveraged to build the next TikTok or something stupid like that.
Humans will never let technology make all decisions for them. ML yes AI no, we always need a throat to choke when something goes wrong.
500 years for a robot which can flip a burger? Dude give me like 1000$ and I will 3D print one for you.
You can't 3D print materials that can withstand griddle temperatures for under 1k. But I agree with your sentiment, burger flipping automation is easily solvable (exists already iirc) and doesn't require AI. Maybe needs ML machine vision with ir camera but that's all doable.
Lol. Good luck making your burger flipper. It will flip 1.5 burgers and then fail catastrophically
Source: Trust me bro I work at MSFT, a world leader in “AI” OP what are you actually saying machine learning will or will not be able to accomplish?
This comment aged like a fine central valley wine.
The problem with ML is that once any ML technology becomes common we stop calling it “ML”. Think for instance how cameras will automatically focus on human faces. This tech has been around in digital cameras for well over a decade. Now your iPhone will do the same for things like cats. But do we call it “AI”? Nope, we just them cameras. FYI TikTok *does* rely on ML.
You would be cut off from any interesting out of network material on any social media site without Ml based recommendations
Okay, now I agree that is possible, but I'd bet that your (and all social media) employers algorithms are trained based on what maximizes "engagement" and ad spend, not what might be interesting. It's not ML's fault, but the data science overlords aren't so benevolent to not use profitability as their objective.
This cracked me up! OP get off blind and open Wikipedia, Udemy, Coursera or plain old Google to look for machine learning and it’s applications If you think it’s useless, it is because it is ubiquitous and working silently behind the scenes
So what's more important? Working at McKinsey, BCG?
OP please tell us your background. Do you work in AI/ML ?
You don’t need a machine to take over 100%, just having hybrids is big progress. Look at copilot, or gpt-3… those technologies are amazing!
Written like someone who doesn't understand AI
Maybe it’s a bot testing in the real world?
Skynet trying to sandbag us