full transcript

From the Ted Talk by Caleb Chung: Playtime with Pleo, your robotic dinosaur friend

Unscramble the Blue Letters

cealb Chung: That's all I wanted to say there. I love toys. OK, so, so that was a, that was the first kind of a — that was the first batch of products. Most of them did not go. You get one out of 20, one out of 30 ptudocrs. And every now and then, we do something like a, you know, an automated hair wrap machine, you know, that teglnas your hair and pulls your scalp out, and — and we'd make some meony on that, you know. And we'd give it out. But eventually, we left L.A., and we meovd to Idaho, where there was actually a lot of peace and quiet. And I started working on this project — oh, I have to tell you about this real quick. Throughout this whole thing, making toys, I think there is a real correlation with innovation and art and science. There's some kind of a belnd that happens that allows, you know, to find innovation. And I tried to sum this up in some kind of sbomyl that means something, to me anyway. And so, art and science have a kind of dmnyaic balance, that's where I think innovation happens. And actually, this is, to me, how I can come up with great ideas. But it's not how you actually get leverage. Actually, you have to put a circle around that, and call it benisuss. And those three together, I think, give you leverage in the wolrd. But mivong on. So, this is a quick tale I'm going to tell. This is the Furby tale. As he said, I was co-inventor of the frbuy. I did the body and creature — well, you'll see. So by way of siwhnog you this, you can kind of get an understanding of what it is to, hopefully, try to create robotic life froms, or technology that has an emotional connection with the user. So this is my family. This is my wife, Christi, and Abby, and Melissa, and my 17-year-old now, elimy, who was just a pack of trbuole. All right, there's that robot again. I came out of the movie business, as I said, and I said, let's make these animatronic rbtoos. Let's make these things. And so I've always had a big interest in this. This one actually didn't go anywhere, but I got my feet wet doing this. This is a smaller one, and I have a little moving torso on there. A little, tiny guy walks along. More servo drives, lots of servo hickang, lots of mechanical stuff. There's another one. He actually has skeletor legs, I think, he's wearing there. Oh, this is a little pony, little pony — very cute little thing.

Open Cloze

_____ Chung: That's all I wanted to say there. I love toys. OK, so, so that was a, that was the first kind of a — that was the first batch of products. Most of them did not go. You get one out of 20, one out of 30 ________. And every now and then, we do something like a, you know, an automated hair wrap machine, you know, that _______ your hair and pulls your scalp out, and — and we'd make some _____ on that, you know. And we'd give it out. But eventually, we left L.A., and we _____ to Idaho, where there was actually a lot of peace and quiet. And I started working on this project — oh, I have to tell you about this real quick. Throughout this whole thing, making toys, I think there is a real correlation with innovation and art and science. There's some kind of a _____ that happens that allows, you know, to find innovation. And I tried to sum this up in some kind of ______ that means something, to me anyway. And so, art and science have a kind of _______ balance, that's where I think innovation happens. And actually, this is, to me, how I can come up with great ideas. But it's not how you actually get leverage. Actually, you have to put a circle around that, and call it ________. And those three together, I think, give you leverage in the _____. But ______ on. So, this is a quick tale I'm going to tell. This is the Furby tale. As he said, I was co-inventor of the _____. I did the body and creature — well, you'll see. So by way of _______ you this, you can kind of get an understanding of what it is to, hopefully, try to create robotic life _____, or technology that has an emotional connection with the user. So this is my family. This is my wife, Christi, and Abby, and Melissa, and my 17-year-old now, _____, who was just a pack of _______. All right, there's that robot again. I came out of the movie business, as I said, and I said, let's make these animatronic ______. Let's make these things. And so I've always had a big interest in this. This one actually didn't go anywhere, but I got my feet wet doing this. This is a smaller one, and I have a little moving torso on there. A little, tiny guy walks along. More servo drives, lots of servo _______, lots of mechanical stuff. There's another one. He actually has skeletor legs, I think, he's wearing there. Oh, this is a little pony, little pony — very cute little thing.

Solution

  1. dynamic
  2. business
  3. moved
  4. forms
  5. world
  6. moving
  7. money
  8. emily
  9. symbol
  10. blend
  11. showing
  12. hacking
  13. tangles
  14. products
  15. caleb
  16. furby
  17. robots
  18. trouble

Original Text

Caleb Chung: That's all I wanted to say there. I love toys. OK, so, so that was a, that was the first kind of a — that was the first batch of products. Most of them did not go. You get one out of 20, one out of 30 products. And every now and then, we do something like a, you know, an automated hair wrap machine, you know, that tangles your hair and pulls your scalp out, and — and we'd make some money on that, you know. And we'd give it out. But eventually, we left L.A., and we moved to Idaho, where there was actually a lot of peace and quiet. And I started working on this project — oh, I have to tell you about this real quick. Throughout this whole thing, making toys, I think there is a real correlation with innovation and art and science. There's some kind of a blend that happens that allows, you know, to find innovation. And I tried to sum this up in some kind of symbol that means something, to me anyway. And so, art and science have a kind of dynamic balance, that's where I think innovation happens. And actually, this is, to me, how I can come up with great ideas. But it's not how you actually get leverage. Actually, you have to put a circle around that, and call it business. And those three together, I think, give you leverage in the world. But moving on. So, this is a quick tale I'm going to tell. This is the Furby tale. As he said, I was co-inventor of the Furby. I did the body and creature — well, you'll see. So by way of showing you this, you can kind of get an understanding of what it is to, hopefully, try to create robotic life forms, or technology that has an emotional connection with the user. So this is my family. This is my wife, Christi, and Abby, and Melissa, and my 17-year-old now, Emily, who was just a pack of trouble. All right, there's that robot again. I came out of the movie business, as I said, and I said, let's make these animatronic robots. Let's make these things. And so I've always had a big interest in this. This one actually didn't go anywhere, but I got my feet wet doing this. This is a smaller one, and I have a little moving torso on there. A little, tiny guy walks along. More servo drives, lots of servo hacking, lots of mechanical stuff. There's another one. He actually has skeletor legs, I think, he's wearing there. Oh, this is a little pony, little pony — very cute little thing.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
guy named 2
started working 2
solid works 2
million furbys 2
john sosoka 2

Important Words

  1. abby
  2. animatronic
  3. art
  4. automated
  5. balance
  6. batch
  7. big
  8. blend
  9. body
  10. business
  11. caleb
  12. call
  13. christi
  14. circle
  15. connection
  16. correlation
  17. create
  18. creature
  19. cute
  20. drives
  21. dynamic
  22. emily
  23. emotional
  24. eventually
  25. family
  26. feet
  27. find
  28. forms
  29. furby
  30. give
  31. great
  32. guy
  33. hacking
  34. hair
  35. idaho
  36. ideas
  37. innovation
  38. interest
  39. kind
  40. left
  41. legs
  42. leverage
  43. life
  44. lot
  45. lots
  46. love
  47. machine
  48. making
  49. means
  50. mechanical
  51. melissa
  52. money
  53. moved
  54. movie
  55. moving
  56. pack
  57. peace
  58. pony
  59. products
  60. project
  61. pulls
  62. put
  63. quick
  64. quiet
  65. real
  66. robot
  67. robotic
  68. robots
  69. scalp
  70. science
  71. servo
  72. showing
  73. skeletor
  74. smaller
  75. started
  76. stuff
  77. sum
  78. symbol
  79. tale
  80. tangles
  81. technology
  82. tiny
  83. torso
  84. toys
  85. trouble
  86. understanding
  87. user
  88. walks
  89. wanted
  90. wearing
  91. wet
  92. wife
  93. working
  94. world
  95. wrap