full transcript

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

Unscramble the Blue Letters


(Video) I'm getting dizzy ... Narrator: I love toys!

caelb 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 auemtaotd 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 pcaee and quiet. And I started working on this project — oh, I have to tell you about this real quick. Throughout this whole thing, mnikag 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 senicce 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 graet ideas. But it's not how you actually get leverage. Actually, you have to put a cilcre around that, and call it business. And those three together, I think, give you lervegae 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 tgooelchny that has an emotional connection with the user. So this is my family. This is my wife, cshtiri, and Abby, and mleissa, and my 17-year-old now, eilmy, who was just a pack of trouble. All right, there's that roobt again. I came out of the movie bnsseuis, as I said, and I said, let's make these animatronic rboots. 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 srveo hacking, lots of mechanical sutff. 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


(Video) I'm getting dizzy ... Narrator: I love toys!

_____ 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 _________ 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 _____ and quiet. And I started working on this project — oh, I have to tell you about this real quick. Throughout this whole thing, ______ 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 _______ 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 _____ ideas. But it's not how you actually get leverage. Actually, you have to put a ______ around that, and call it business. And those three together, I think, give you ________ 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 __________ that has an emotional connection with the user. So this is my family. This is my wife, _______, and Abby, and _______, and my 17-year-old now, _____, who was just a pack of trouble. All right, there's that _____ again. I came out of the movie ________, 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 _____ hacking, lots of mechanical _____. 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. melissa
  2. peace
  3. christi
  4. robots
  5. science
  6. automated
  7. servo
  8. caleb
  9. robot
  10. emily
  11. circle
  12. leverage
  13. stuff
  14. business
  15. technology
  16. making
  17. great

Original Text


(Video) I'm getting dizzy ... Narrator: I love toys!

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. dizzy
  21. drives
  22. dynamic
  23. emily
  24. emotional
  25. eventually
  26. family
  27. feet
  28. find
  29. forms
  30. furby
  31. give
  32. great
  33. guy
  34. hacking
  35. hair
  36. idaho
  37. ideas
  38. innovation
  39. interest
  40. kind
  41. left
  42. legs
  43. leverage
  44. life
  45. lot
  46. lots
  47. love
  48. machine
  49. making
  50. means
  51. mechanical
  52. melissa
  53. money
  54. moved
  55. movie
  56. moving
  57. pack
  58. peace
  59. pony
  60. products
  61. project
  62. pulls
  63. put
  64. quick
  65. quiet
  66. real
  67. robot
  68. robotic
  69. robots
  70. scalp
  71. science
  72. servo
  73. showing
  74. skeletor
  75. smaller
  76. started
  77. stuff
  78. sum
  79. symbol
  80. tale
  81. tangles
  82. technology
  83. tiny
  84. torso
  85. toys
  86. trouble
  87. understanding
  88. user
  89. video
  90. walks
  91. wanted
  92. wearing
  93. wet
  94. wife
  95. working
  96. world
  97. wrap