377 Quotes About Ai

Fears of robotics and technology arise, I think, from two human frailties. One is cognitive: we simply do not know what ­future technological change ­will be and thus cannot tell what new jobs will be created, what our ­future needs ­will be, or how raw materials ­will be used. The second is psychological: we get a thrill from fear of the unknown—in this case, thescary and yet alluring prospect of metallic robots replacing flesh-­and-­blood workers on the factory floor.

Detective, what I'm trying to tell you is that there's no point in my being at this desk. Or anywhere else! We set it all into motion perfectly, and now the system itself can see to everything. It's like they're just keeping us around as... I don't know. Furniture? To occupy themselves? Learn from us? Or... maybe it's a form of tribute.

Why can't you summon a command line and search your real-world home for 'Honda car keys,' and specify rooms in your house to search instead of folders or paths in your computer's home directory? It's a crippling design flaw in the real-world interface.

Sentences that begin with 'You' are probably not true. For instance, when I write: "You are a pet human named Morlock being disciplined by your master, a Beowulf cluster of FreeBSD 22.0 servers in the year 2052. Last week you tried to escape by digging a hole under the perimeter, which means this week you may be put to sleep for being a renegade human."That's not true, at least not yet.

Thus, in moments of catastrophe, when hard decisions needed to be made quickly, all AIs included in their calculations a human death toll governed by a factor called ‘pigheadedness’.

The bigger the picture, the more unique the potential human contribution. Our greatest strength is the exact opposite of narrow specialization. It is the ability to integrate broadly.According to Gary Marcus, a psychology and neuroscience professor, who sold his machine learning company to Uber, "In narrow enough worlds, humans may not have much to contribute much longer.

အသိဉာဏ်ဆိုသည်မှာ ပုံစံအမျိုးမျိုးရှိသည် မဟုတ်လား။ တကယ်တော့ ဒီကမ္ဘာမှာ လူသားကသာလျှင် အသိဉာဏ်အရှိဆုံး၊ အဲဒီအသိဉာဏ်ဆိုသည်မှာလည်း လူသားများသာပိုင်ဆိုင်နိုင်သည့် အထူးကြီးမြတ်သည့်အရာဟု တွေးခေါ်ခြင်းသည် တစ်ဆိတ် လူသားတွေဘက်က သိပ်မာနကြီးလွန်းရာ ကျနေသည်လေ။

People worry that AI has surpassed humans, but we doubt AI will claim this award anytime soon. One might think that the TED brand of bullshit is just a cocktail of sound-bite science, management-speak, and techno-optimism. But it's not so easy. You have to stir these elements together just right, and you have to sound like you believe them. For the foreseeable future, computers won't be able to make the grade.

Our search for the Master Algorithm is complicated, but also enlivened, by the rival schools of thought that exist within machine learning. The main ones are the symbolists, connectionists, evolutionaries, Bayesians, and analogizers. Each tribe has a set of core beliefs, and a particular problem that it cares most about. It has found a solution to that problem, based on ideas from its allied fields of science, and it has a master algorithm that embodies it.