full transcript
From the Ted Talk by Grady Booch: Don't fear superintelligent AI
Unscramble the Blue Letters
The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of milloins upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with hmuans in natural language? Yes. Can we build sytmses that recognize otbcejs, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out panls against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and mraol foundation? This we must laern how to do. So let's accept for a moment that it's possible to bliud such an artificial intelligence for this kind of msoisin and others.
Open Cloze
The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of ________ upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with ______ in natural language? Yes. Can we build _______ that recognize _______, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out _____ against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and _____ foundation? This we must _____ how to do. So let's accept for a moment that it's possible to _____ such an artificial intelligence for this kind of _______ and others.
Solution
- millions
- objects
- build
- mission
- moral
- systems
- humans
- plans
- learn
Original Text
The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of millions upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with humans in natural language? Yes. Can we build systems that recognize objects, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out plans against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and moral foundation? This we must learn how to do. So let's accept for a moment that it's possible to build such an artificial intelligence for this kind of mission and others.
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
artificial intelligence |
8 |
build systems |
4 |
human experience |
3 |
human life |
2 |
engineering problem |
2 |
mission control |
2 |
Important Words
- accept
- act
- advance
- art
- artificial
- build
- carries
- chandra
- computing
- converse
- data
- devices
- dr
- emote
- emotions
- ethical
- failures
- foundation
- games
- goals
- hal
- humans
- identify
- imagine
- intelligence
- inventor
- kind
- language
- learn
- learning
- learns
- lips
- long
- lot
- millions
- mind
- mission
- moment
- moral
- natural
- objects
- onscreen
- plans
- play
- predict
- questions
- read
- recognize
- science
- sets
- streams
- system
- systems
- theory
- today