IELTS Speaking Idioms: AI

18,459 views ใƒป 2024-05-16

English Speaking Success


ไธ‹ใฎ่‹ฑ่ชžๅญ—ๅน•ใ‚’ใƒ€ใƒ–ใƒซใ‚ฏใƒชใƒƒใ‚ฏใ™ใ‚‹ใจๅ‹•็”ปใ‚’ๅ†็”Ÿใงใใพใ™ใ€‚ ็ฟป่จณใ•ใ‚ŒใŸๅญ—ๅน•ใฏๆฉŸๆขฐ็ฟป่จณใงใ™ใ€‚

00:00
(gentle upbeat music)
0
80
3167
๏ผˆ็ฉใ‚„ใ‹ใชๆ˜Žใ‚‹ใ„้Ÿณๆฅฝ๏ผ‰
00:06
Idioms, idioms.
1
6870
1800
ๆ…ฃ็”จๅฅใ€ๆ…ฃ็”จๅฅใ€‚
00:08
And I've got another song about idioms.
2
8670
3120
ใใ—ใฆใ€ใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใซใคใ„ใฆใฎๆ›ฒใŒใ‚‚ใ† 1 ๆ›ฒใ‚ใ‚Šใพใ™ใ€‚
00:11
Here we go.
3
11790
1334
ใ•ใ่กŒใ“ใ†ใ€‚
00:13
โ™ช I want some idioms โ™ช
4
13124
1816
โ™ช ใ„ใใคใ‹ใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใŒๆฌฒใ—ใ„ใงใ™ โ™ช
00:14
(gentle upbeat music)
5
14940
2221
(็ฉใ‚„ใ‹ใชใ‚ขใƒƒใƒ—ใƒ“ใƒผใƒˆใฎ้Ÿณๆฅฝ)
00:17
โ™ช And I want them now โ™ช
6
17161
1427
โ™ช ใใ—ใฆใ€ไปŠใ™ใใใ‚Œใ‚‰ใŒๆฌฒใ—ใ„ใงใ™ โ™ช
00:18
(gentle upbeat music)
7
18588
2801
(็ฉใ‚„ใ‹ใชใ‚ขใƒƒใƒ—ใƒ“ใƒผใƒˆใฎ้Ÿณๆฅฝ)
00:21
โ™ช I want some idioms โ™ช
8
21389
2008
โ™ช ใ„ใใคใ‹ใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใŒๆฌฒใ—ใ„ใงใ™ โ™ช (
00:23
(gentle upbeat music)
9
23397
833
็ฉใ‚„ใ‹ใชใ‚ขใƒƒใƒ—ใƒ“ใƒผใƒˆใฎ้Ÿณๆฅฝ)
00:24
โ™ช But I don't know how, how to learn them โ™ช
10
24230
3189
โ™ช ใงใ‚‚ใ€ใฉใ†ใ‚„ใฃใฆใ€ใฉใ†ใ‚„ใฃใฆ่ฆšใˆใ‚Œใฐใ„ใ„ใฎใ‹ใ‚ใ‹ใ‚Šใพใ›ใ‚“ โ™ช
00:27
โ™ช How to remember them โ™ช
11
27419
2131
โ™ช ใฉใ†ใ‚„ใฃใฆ ใใ‚Œใ‚‰ใ‚’่ฆšใˆใฆใŠใใ“ใจโ™ช
00:29
โ™ช All that I know and I really think so โ™ช
12
29550
4037
โ™ช ็งใŒ็Ÿฅใฃใฆ
00:33
โ™ช Is that I want some idioms now โ™ช
13
33587
2564
00:36
(gentle upbeat music)
14
36151
1326
00:37
โ™ช How to learn them โ™ช
15
37477
2012
00:39
โ™ช How to remember them โ™ช
16
39489
2025
00:41
โ™ช All I know and I really think so โ™ช
17
41514
3803
ใ„ใ‚‹ใ“ใจใ€ใใ—ใฆ็งใŒๆœฌๅฝ“ใซใใ†ๆ€ใ†ใ“ใจ โ™ช
00:45
โ™ช Is that I want โ™ช
18
45317
908
โ™ช ๆฌฒใ—ใ„ใฎใฏโ™ช
00:46
- I love AI.
19
46225
958
- AI ใŒๅคงๅฅฝใใงใ™ใ€‚
00:47
โ™ช Now โ™ช
20
47183
945
โ™ช Now โ™ช
00:48
(gentle upbeat music)
21
48128
2013
(็ฉใ‚„ใ‹ใช้™ฝๆฐ—ใช้Ÿณๆฅฝ)
00:50
โ™ช How to learn them โ™ช
22
50141
1945
โ™ช How to learn them โ™ช
00:52
โ™ช How to remember them โ™ช
23
52086
2050
โ™ช How to remember them โ™ช
00:54
โ™ช All I know โ™ช
24
54136
989
โ™ช All I know โ™ช
00:55
โ™ช And I really think so โ™ช โ™ช I want some idioms now โ™ช
25
55125
2815
โ™ช And I recommend so so โ™ช โ™ช I want some idioms now โ™ช
00:57
โ™ช Is that I want some idioms now โ™ช
26
57940
3092
โ™ช I want some idioms now โ™ช
01:01
(gentle upbeat music)
27
61032
1718
(ๅ„ชใ—ใ„ ๆ˜Žใ‚‹ใ„้Ÿณๆฅฝ)
01:02
โ™ช How to learn them โ™ช
28
62750
1573
โ™ช How to learn them โ™ช
01:04
(gentle upbeat music)
29
64323
1677
(็ฉใ‚„ใ‹ใชๆ˜Žใ‚‹ใ„้Ÿณๆฅฝ)
01:06
- And it goes on and on and on, right?
30
66000
1860
- ใใ‚Œใฏใšใฃใจ็ถšใ„ใฆใ„ใใพใ™ใ‚ˆใญ๏ผŸ
01:07
It's idioms is indeed.
31
67860
1890
ใใ‚Œใฏใพใ•ใซใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใงใ™ใ€‚
01:09
It's time for some idioms like this one over here.
32
69750
3575
ใ“ใ“ใงใฏใ“ใฎใ‚ˆใ†ใชใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใ‚’ใ„ใใคใ‹ไฝฟใ†ๆ™‚ๆœŸใŒๆฅใพใ—ใŸใ€‚
01:13
(Keith clears throat)
33
73325
1165
๏ผˆใ‚ญใƒผใ‚นใŒๅ’ณๆ‰•ใ„๏ผ‰
01:14
But listen, let me switch around.
34
74490
1920
ใงใ‚‚ใ€่žใ„ใฆใใ ใ•ใ„ใ€่ฉฑใ‚’ๅˆ‡ใ‚Šๆ›ฟใˆใพใ—ใ‚‡ใ†ใ€‚ ้ฉๅˆ‡ใชๅ†™็œŸใŒ่ฆ‹ใคใ‹ใฃใŸใ‚‰ใ€
01:16
I'm gonna show you some idioms
35
76410
2160
ใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใ‚’ใ„ใใคใ‹็ดนไป‹ใ—ใพใ™
01:18
if I can find my right picture.
36
78570
3180
ใ€‚
01:21
Where are we? We're over here.
37
81750
2010
ใ“ใ“ใฏใฉใ“๏ผŸ ใ“ใ“ใซใ„ใ‚‹ใ‚ˆใ€‚
01:23
I'm gonna show you a picture
38
83760
1770
ๅ†™็œŸใ‚’่ฆ‹ใ›ใฆ
01:25
and I'd like you to tell me what you think the idiom is
39
85530
4110
ใ€ ใ“ใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใŒ
01:29
connected to AI.
40
89640
3270
AI ใซใฉใฎใ‚ˆใ†ใซ้–ขไฟ‚ใ—ใฆใ„ใ‚‹ใจๆ€ใ†ใ‹ใ‚’ๆ•™ใˆใฆใใ ใ•ใ„ใ€‚
01:32
Okay?
41
92910
833
ใ‚ใ‹ใฃใŸ๏ผŸ
01:33
Here's the first picture.
42
93743
1777
ใ“ใ‚ŒใŒๆœ€ๅˆใฎๅ†™็œŸใงใ™ใ€‚
01:35
What do you think the idiom is?
43
95520
2640
ใใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใฏไฝ•ใ ใจๆ€ใ„ใพใ™ใ‹๏ผŸ
01:38
So, as Lucia says,
44
98160
1747
ใคใพใ‚Šใ€ใƒซใ‚ทใ‚ขใŒ่จ€ใ†ใ‚ˆใ†ใซใ€
01:39
"Idioms are phrases that convey a different message
45
99907
2813
ใ€Œใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใจใฏใ€
01:42
despite their own literal meaning."
46
102720
2160
ๆ–‡ๅญ—้€šใ‚Šใฎๆ„ๅ‘ณใซใ‚‚ใ‹ใ‹ใ‚ใ‚‰ใšใ€็•ฐใชใ‚‹ใƒกใƒƒใ‚ปใƒผใ‚ธใ‚’ไผใˆใ‚‹ใƒ•ใƒฌใƒผใ‚บใงใ™ใ€ใ€‚
01:44
That's right. Very good, Lucia.
47
104880
1680
ใใ‚Œใฏๆญฃใ—ใ„ใ€‚ ใจใฆใ‚‚ใ‚ˆใ‹ใฃใŸใ€ใƒซใƒใ‚ขใ€‚
01:46
Thank you for that.
48
106560
1290
ๆœ‰้›ฃใ†ใ”ใ–ใ„ใพใ™ใ€‚
01:47
That one.
49
107850
1110
ใใ‚Œใงใ™ใ€‚
01:48
So let's see.
50
108960
1057
ใใ‚Œใงใฏ่ฆ‹ใฆใฟใพใ—ใ‚‡ใ†ใ€‚
01:50
"On cloud nine." Lovely idea.
51
110017
2783
ใ€Œ้›ฒ9ใฎไธŠใงใ€ ็ด ๆ•ตใชใ‚ขใ‚คใƒ‡ใ‚ขใ€‚
01:52
Lovely.
52
112800
1387
็ด ๆ•ตใชใ€‚
01:54
"Felt over the moon."
53
114187
1373
ใ€Œๆœˆใ‚’ๆ„Ÿใ˜ใŸใ€‚ใ€
01:55
Not a bad one, not a bad one.
54
115560
2857
ๆ‚ชใใฏใชใ„ใ€ๆ‚ชใใ‚‚ใชใ„ใ€‚
01:58
"AI pilot."
55
118417
2033
ใ€ŒAIใƒ‘ใ‚คใƒญใƒƒใƒˆใ€
02:00
Almost.
56
120450
963
ใปใจใ‚“ใฉใ€‚
02:02
Ah, Dina, I think you are almost there.
57
122460
4053
ใ‚ใ‚ใ€ใƒ‡ใ‚ฃใƒŠใ€ใ‚‚ใ†ใ™ใใใ“ใพใงๆฅใฆใ„ใ‚‹ใ‚ˆใ†ใงใ™ใ€‚
02:07
"Spaceship."
58
127447
1613
ใ€Œๅฎ‡ๅฎ™่ˆนใ€ใ€‚
02:09
But what's the idiom?
59
129060
1353
ใ—ใ‹ใ—ใ€ใใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใฏไฝ•ใงใ—ใ‚‡ใ†ใ‹๏ผŸ
02:11
Ernesto, very good, very good.
60
131940
2640
ใ‚จใƒซใƒใ‚นใƒˆใ€ใจใฆใ‚‚่‰ฏใ„ใ€ใจใฆใ‚‚่‰ฏใ„ใ€‚
02:14
I think you are there.
61
134580
1383
ใใ“ใซใ„ใ‚‹ใจๆ€ใ„ใพใ™ใ€‚
02:17
Uh-huh.
62
137850
1950
ใ†ใ‚“ใ€‚
02:19
Anybody else? Ege, Ege, Ege?
63
139800
2127
ไป–ใฎไบบใฏ๏ผŸ ใ‚จใ‚ฒใ€ใ‚จใ‚ฒใ€ใ‚จใ‚ฒ๏ผŸ
02:22
Yeah, absolutely, yes.
64
142770
2310
ใˆใˆใ€็ตถๅฏพใซใ€ใใ†ใงใ™ใ€‚
02:25
It could be over the moon,
65
145080
1320
ใใ‚Œใฏๅคงใ’ใ•ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“
02:26
but actually it's not quite there.
66
146400
2520
ใŒใ€ๅฎŸ้š›ใซใฏใพใ ใใ“ใพใงใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚
02:28
Not quite there.
67
148920
1087
ใใ“ใพใงใฏ่‡ณใฃใฆใ„ใพใ›ใ‚“ใ€‚
02:30
"I'm over the cloud." Hmm.
68
150007
2670
ใ€Œ็งใฏ้›ฒใฎไธŠใซใ„ใ‚‹ใ‚ˆใ€‚ใ€ ใตใƒผใ‚€ใ€‚
02:32
"Over the moon."
69
152677
1523
ใ€Œๆœˆใ‚’่ถŠใˆใฆใ€‚ใ€
02:34
Ah.
70
154200
1627
ใ‚ใ‚ใ€‚
02:35
"On cloud nine means very happy."
71
155827
1943
ใ€Œ้›ฒใŒ9ใคใ‚ใ‚‹ใจใ„ใ†ใ“ใจใฏใ€ใจใฆใ‚‚ๅนธใ›ใชใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ใ€‚ใ€
02:37
You are right there, you are right.
72
157770
2163
ใ‚ใชใŸใฏใใ“ใซใ„ใพใ™ใ€ใ‚ใชใŸใฏๆญฃใ—ใ„ใงใ™ใ€‚
02:41
Anything else?
73
161130
1380
ไป–ใซไฝ•ใ‹๏ผŸ
02:42
Something connected with autopilot.
74
162510
2010
่‡ชๅ‹•ๆ“็ธฆใซ้–ข้€ฃใ—ใŸไฝ•ใ‹ใ€‚
02:44
Yeah.
75
164520
960
ใ†ใ‚“ใ€‚
02:45
You're right.
76
165480
833
ใ‚ใชใŸใŒๆญฃใ—ใ„ใ€‚
02:46
So this one, right?
77
166313
2227
ใใ‚Œใงใ€ใ“ใ‚Œใงใ™ใ‚ˆใญ๏ผŸ
02:48
This particular one is the following.
78
168540
2880
ใ“ใฎ็‰นๅฎšใฎใ‚‚ใฎใฏๆฌกใฎใจใŠใ‚Šใงใ™ใ€‚
02:51
I can do it now. I can show you this one.
79
171420
1957
ไปŠใชใ‚‰ใงใใ‚‹ใ‚ˆใ€‚ ใ“ใ‚Œใ‚’ใŠ่ฆ‹ใ›ใงใใพใ™ใ€‚
02:53
"To be on autopilot
80
173377
1913
ใ€Œ่‡ชๅ‹•ๆ“็ธฆใจใฏใ€่‡ชๅ‹•็š„ใซๅ‹•ไฝœใ™ใ‚‹
02:55
means to use a system that operates automatically."
81
175290
3687
ใ‚ทใ‚นใƒ†ใƒ ใ‚’ไฝฟ็”จใ™ใ‚‹ใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ ใ€‚ใ€
03:00
Autopilot.
82
180150
1563
่‡ชๅ‹•ๆ“็ธฆใ€‚
03:02
Notice the stress?
83
182820
1500
ใ‚นใƒˆใƒฌใ‚นใซๆฐ—ใฅใ„ใฆใ„ใพใ™ใ‹๏ผŸ
03:04
Autopilot, autopilot, autopilot.
84
184320
3030
่‡ชๅ‹•ๆ“็ธฆใ€่‡ชๅ‹•ๆ“็ธฆใ€่‡ชๅ‹•ๆ“็ธฆใ€‚
03:07
Autopilot. To be on autopilot.
85
187350
2670
่‡ชๅ‹•ๆ“็ธฆใ€‚ ่‡ชๅ‹•ๆ“็ธฆใซใชใ‚‹ใ“ใจใ€‚
03:10
Stress should be there.
86
190020
1150
ใ‚นใƒˆใƒฌใ‚นใฏใ‚ใ‚‹ใฏใšใงใ™ใ€‚
03:15
"To use a system that operates automatically."
87
195997
3533
ใ€Œ ่‡ชๅ‹•ใงไฝœๅ‹•ใ™ใ‚‹ใ‚ทใ‚นใƒ†ใƒ ใ‚’ไฝฟใ†ใ“ใจใ€
03:19
I'm gonna try and help you with the stress.
88
199530
2640
็งใฏใ‚ใชใŸใฎใ‚นใƒˆใƒฌใ‚น่งฃๆถˆใซ่ฒข็Œฎใ—ใ‚ˆใ†ใจๆ€ใ„ใพใ™ ใ€‚
03:22
For example,
89
202170
833
ใŸใจใˆใฐใ€
03:23
"I use Google maps so whenever I travel,
90
203003
1957
ใ€ŒGoogle ใƒžใƒƒใƒ—ใ‚’ไฝฟ็”จใ—ใฆใ„ใ‚‹ใฎใงใ€ๆ—…่กŒใ™ใ‚‹ใจใใฏๅธธใซ
03:24
my navigation is on autopilot."
91
204960
2427
ใƒŠใƒ“ใ‚ฒใƒผใ‚ทใƒงใƒณใŒ่‡ชๅ‹•ๆ“็ธฆใซใชใฃใฆใ„ใพใ™ใ€‚ใ€
03:28
Okay.
92
208516
833
ใ‚ใ‹ใฃใŸใ€‚ ่ปŠใ‚’
03:29
Sometimes when I'm driving, right?
93
209349
2331
้‹่ปขใ—ใฆใ„ใ‚‹ใจใใ‚‚ใ‚ใ‚‹ใ‚ˆใญ๏ผŸ
03:31
I'm not thinking.
94
211680
1620
่€ƒใˆใฆใชใ„ใ‚ˆใ€‚ ใŸใ 
03:33
I'm just driving.
95
213300
1680
้‹่ปขใ—ใฆใ„ใ‚‹ใ ใ‘ใงใ™ใ€‚
03:34
Listening to the music
96
214980
1200
้Ÿณๆฅฝใ‚’่ดใ„ใฆใ„ใ‚‹
03:36
and then suddenly I've arrived.
97
216180
2610
ใจใ€็ช็„ถๅˆฐ็€ใ—ใพใ—ใŸใ€‚
03:38
And I think, "How did I do that?"
98
218790
2640
ใใ—ใฆใ€ใ€Œใฉใ†ใ‚„ใฃใฆใใ‚“ใชใ“ใจใ‚’ใ—ใŸใ‚“ใ ใ‚ใ†๏ผŸใ€ใจๆ€ใ„ใพใ™ใ€‚
03:41
I was on autopilot, right?
99
221430
2760
็งใฏ่‡ชๅ‹•ๆ“็ธฆใ‚’ใ—ใฆใ„ใพใ—ใŸใญ๏ผŸ
03:44
I'm not thinking about it.
100
224190
1890
ใใ‚Œใซใคใ„ใฆใฏ่€ƒใˆใฆใ„ใพใ›ใ‚“ใ€‚
03:46
I can do it on autopilot.
101
226080
1713
่‡ชๅ‹•ๆ“็ธฆใงใงใใ‚‹ใ‚ˆใ€‚
03:49
Sometimes I can almost teach English on autopilot.
102
229800
4560
ๆ™‚ใ€…ใ€ ่‡ชๅ‹•ๆ“็ธฆใง่‹ฑ่ชžใ‚’ๆ•™ใˆใ‚‰ใ‚Œใใ†ใซใชใ‚‹ใ“ใจใ‚‚ใ‚ใ‚Šใพใ™ใ€‚
03:54
I'm not thinking about it.
103
234360
1320
ใใ‚Œใซใคใ„ใฆใฏ่€ƒใˆใฆใ„ใพใ›ใ‚“ใ€‚
03:55
It's just natural, it's automatic.
104
235680
2610
ใใ‚Œใฏ่‡ช็„ถใชใ“ใจใงใ™ใ€่‡ชๅ‹•็š„ใซ่กŒใ‚ใ‚Œใพใ™ใ€‚
03:58
Sometimes. (laughs)
105
238290
2070
ๆ™‚ใ€…ใ€‚ (็ฌ‘)
04:00
Google maps whenever I travel,
106
240360
1680
ๆ—…่กŒใซ่กŒใใจใใฏใ„ใคใ‚‚Googleใƒžใƒƒใƒ—ใ‚’ไฝฟใฃใฆใ€
04:02
my navigation is on autopilot, right? (clears throat)
107
242040
3960
ใƒŠใƒ“ใ‚ฒใƒผใ‚ทใƒงใƒณใฏ่‡ชๅ‹•ๆ“็ธฆใซใชใฃใฆใ„ใพใ™ ใ‚ˆใญ๏ผŸ ๏ผˆๅ’ณๆ‰•ใ„๏ผ‰
04:06
Okay, that's the first one.
108
246000
1953
ใฏใ„ใ€ใใ‚ŒใŒๆœ€ๅˆใงใ™ใ€‚
04:08
Let's have a look at the next one,
109
248820
2970
ๆฌกใฎ้ …็›ฎใ‚’่ฆ‹ใฆใฟใพใ—ใ‚‡ใ†ใ€‚
04:11
which is not this one,
110
251790
1650
ใ“ใ‚Œใฏใ“ใ‚Œใงใฏใ‚ใ‚Šใพใ›ใ‚“
04:13
but number two.
111
253440
1200
ใŒใ€2 ็•ช็›ฎใงใ™ใ€‚
04:14
What do you think?
112
254640
900
ใฉใ†ๆ€ใ„ใพใ™ใ‹๏ผŸ
04:19
And I'm gonna put a bit of background music on.
113
259980
3134
ใ‚ใจใ€BGMใ‚‚ๅฐ‘ใ—ใคใ‘ใฆใŠใใพใ™ ใ€‚
04:23
โ™ช I want some idioms โ™ช
114
263114
1540
โ™ช ใ„ใใคใ‹ใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใŒๆฌฒใ—ใ„ใงใ™ โ™ช
04:24
(gentle upbeat music)
115
264654
2456
(็ฉใ‚„ใ‹ใชใ‚ขใƒƒใƒ—ใƒ“ใƒผใƒˆใฎ้Ÿณๆฅฝ)
04:27
โ™ช And I want them now โ™ช
116
267110
1632
โ™ช ใใ—ใฆใ€็งใฏไปŠใ™ใใใ‚Œใ‚‰ใŒๆฌฒใ—ใ„ใงใ™ โ™ช
04:28
(gentle upbeat music)
117
268742
2478
(็ฉใ‚„ใ‹ใชใ‚ขใƒƒใƒ—ใƒ“ใƒผใƒˆใฎ้Ÿณๆฅฝ)
04:31
โ™ช I want some idioms โ™ช
118
271220
2836
โ™ช ใ„ใใคใ‹ใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใŒๆฌฒใ—ใ„ใงใ™ โ™ช โ™ช
04:34
โ™ช But I don't know how, how to learn them โ™ช
119
274056
3309
ใงใ‚‚ใ€ใฉใ†ใ‚„ใฃใฆใ€ ใฉใ†ใ‚„ใฃใฆ่ฆšใˆใ‚Œใฐใ„ใ„ใฎใ‹ใ‚ใ‹ใ‚Šใพใ›ใ‚“ โ™ช
04:37
โ™ช How to remember them โ™ช
120
277365
2134
โ™ช ่ฆšใˆๆ–นใฏโ™ช
04:39
โ™ช All that I know and I really think so โ™ช
121
279499
3251
โ™ช ็งใŒ็Ÿฅใฃใฆใ„ใ‚‹ใ“ใจใฏใ™ในใฆใ€ๆœฌๅฝ“ใซใใ†ๆ€ใ„ใพใ™โ™ช
04:42
- [Keith] What do you think this one is?
122
282750
1890
- [ใ‚ญใƒผใ‚น] ใ“ใ‚Œใฏไฝ•ใ ใจๆ€ใ„ใพใ™ใ‹?
04:44
Look carefully at the name.
123
284640
3483
ๅๅ‰ใ‚’ใ‚ˆใ่ฆ‹ใฆใใ ใ•ใ„ใ€‚
04:49
โ™ช How to remember them โ™ช
124
289161
2529
โ™ช ่ฆšใˆๆ–นโ™ช
04:51
- [Keith] Ooh, nice.
125
291690
1269
- [ใ‚ญใƒผใ‚น] ใ‚ใ‚ใ€ใ„ใ„ใงใ™ใญใ€‚
04:52
โ™ช Really think so โ™ช
126
292959
2243
โ™ช ๆœฌๅฝ“ใซใใ†ๆ€ใ„ใพใ™โ™ช
04:55
โ™ช Is that I want some โ™ช
127
295202
1003
โ™ช ไฝ•ใ‹ๆฌฒใ—ใ„ใงใ™ใ‹โ™ช
04:56
- [Keith] Interesting.
128
296205
942
- [ใ‚ญใƒผใ‚น] ่ˆˆๅ‘ณๆทฑใ„ใงใ™ใญใ€‚
04:57
โ™ช Now โ™ช
129
297147
1880
โ™ช Now โ™ช
04:59
- [Keith] It's a good expression.
130
299027
1156
- [ใ‚ญใƒผใ‚น] ่‰ฏใ„่กจ็พใงใ™ใญใ€‚
05:00
โ™ช How to learn them โ™ช
131
300183
1647
โ™ช ่ฆšใˆๆ–นโ™ช
05:01
โ™ช How to remember โ™ช
132
301830
1141
โ™ช ่ฆšใˆๆ–นโ™ช
05:02
- [Keith] Almost.
133
302971
1031
- [ใ‚ญใƒผใ‚น] ใ‚‚ใ†ใ™ใใงใ™ใ€‚
05:04
โ™ช All I know โ™ช
134
304002
1297
โ™ช ็งใŒ็Ÿฅใฃใฆใ„ใ‚‹ใ“ใจใฏใ™ในใฆโ™ช
05:05
- [Keith] Ooh, Dina.
135
305299
833
- [ใ‚ญใƒผใ‚น] ใ‚ใ‚ใ€ใƒ‡ใ‚ฃใƒŠใ€‚
05:06
"Out of the box" like thinking out of the box.
136
306132
2478
ใ€ŒOut of the boxใ€ใฏใ€ ็ฎฑใ‹ใ‚‰ๅ‡บใ—ใฆ่€ƒใˆใ‚‹ใ‚ˆใ†ใชใ‚‚ใฎใงใ™ใ€‚
05:08
Nice idea.
137
308610
1157
่‰ฏใ„ใ‚ขใ‚คใƒ‡ใ‚ขใ€‚
05:09
โ™ช Now โ™ช
138
309767
1183
โ™ชใ•ใ‚โ™ช
05:10
- Yuwei, you are on form today.
139
310950
2700
- ใƒฆใ‚ฆใ‚ฆใ‚งใ‚คใ€ไปŠๆ—ฅใ‚‚่ชฟๅญใŒใ„ใ„ใงใ™ใญใ€‚
05:13
You're on a roll.
140
313650
1022
็ตถๅฅฝ่ชฟใงใ™ใญใ€‚
05:14
(gentle upbeat music)
141
314672
1768
๏ผˆ็ฉใ‚„ใ‹ใช้™ฝๆฐ—ใช้Ÿณๆฅฝ๏ผ‰
05:16
Ernesto as well, guys, you are fantastic.
142
316440
2429
ใ‚จใƒซใƒใ‚นใƒˆใ‚‚ใใ†ใงใ™ใ€็š†ใ•ใ‚“ใ€็ด ๆ™ดใ‚‰ใ—ใ„ใงใ™ใ€‚
05:18
(gentle upbeat music)
143
318869
2731
(็ฉใ‚„ใ‹ใชๆ˜Žใ‚‹ใ„้Ÿณๆฅฝ)
05:21
ANRN as well is talking about Pandora's magic.
144
321600
2760
ANRN ใ‚‚ ใƒ‘ใƒณใƒ‰ใƒฉใฎ้ญ”ๆณ•ใซใคใ„ใฆ่ฉฑใ—ใฆใ„ใพใ™ใ€‚ ใ€Œ
05:24
Think out of the box is a very good expression,
145
324360
3090
ๆž ใซใจใ‚‰ใ‚ใ‚Œใšใซ่€ƒใˆใ‚‹ใ€ใจใ„ใ†ใฎใฏ ใจใฆใ‚‚่‰ฏใ„่กจ็พใงใ™ใŒใ€
05:27
but a different one here.
146
327450
1563
ใ“ใ“ใงใฏ้•ใ†่กจ็พใงใ™ใ€‚
05:31
Ah, Zlatiborka, you're actually getting it.
147
331470
3600
ใ‚ใ‚ใ€ใ‚บใƒฉใƒใƒœใƒซใ‚ซใ€ใ‚ใชใŸใฏ ๆœฌๅฝ“ใซใใ‚Œใ‚’็†่งฃใ—ใฆใ„ใพใ™ใ€‚
05:35
Yeah, you're there, you're there.
148
335070
1470
ใใ†ใ ใ€ใ‚ใชใŸใฏใใ“ใซใ„ใ‚‹ใ€ใ‚ใชใŸใฏใใ“ใซใ„ใ‚‹ใ€‚
05:36
Luis as well. Absolutely, yes.
149
336540
2853
ใƒซใ‚คใ‚นใ‚‚ใญใ€‚ ใฏใ„ใœใฃใŸใ„ใซใ€‚
05:41
"Pandora was opened."
150
341047
1433
ใ€Œใƒ‘ใƒณใƒ‰ใƒฉใŒ้–‹ใ‹ใ‚ŒใŸใ€‚ใ€
05:42
Almost, almost. Yeah.
151
342480
2520
ใปใผใ€ใปใผใ€‚ ใ†ใ‚“ใ€‚
05:45
You're very, very close.
152
345000
1110
ใ‚ใชใŸใฏใจใฆใ‚‚ใจใฆใ‚‚่ฟ‘ใ„ใจใ“ใ‚ใซใ„ใพใ™ใ€‚
05:46
I think you've...
153
346110
930
ใ‚ใชใŸใฏ...
05:47
Most of you, some of you have got it spot on.
154
347040
2430
ใปใจใ‚“ใฉใฎไบบใ€ใใ—ใฆไฝ•ไบบใ‹ใฏ ๆญฃใ—ใ็†่งฃใ—ใฆใ„ใ‚‹ใจๆ€ใ„ใพใ™ใ€‚
05:49
So the expression is,
155
349470
1770
ใคใพใ‚Šใ€
05:51
if I just bring me back in,
156
351240
1683
็งใ‚’ๅ…ƒใซๆˆปใ™ใจใ„ใ†ใ“ใจใฏใ€
05:54
is to open Pandora's box.
157
354240
3123
ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ใ€‚
05:58
You can say, "To open a Pandora's box."
158
358650
2640
ใ€Œใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ€ใจใ‚‚่จ€ใˆใพใ™ใ€‚ ใ‚ใ‚‹
06:01
Sometimes we have a, sometimes we don't.
159
361290
2343
ๅ ดๅˆใ‚‚ใ‚ใ‚Œใฐใ€ใชใ„ๅ ดๅˆใ‚‚ใ‚ใ‚Šใพใ™ใ€‚
06:04
And it means "To create a lot of unexpected problems."
160
364860
4020
ใใ—ใฆใใ‚Œใฏใ€ŒไบˆๆœŸใ›ใฌๅ•้กŒใ‚’ใŸใใ•ใ‚“ๅผ•ใ่ตทใ“ใ™ใ“ใจใ€ใ‚’ๆ„ๅ‘ณใ—ใพใ™ ใ€‚
06:08
It's nothing to do with opening a box,
161
368880
2220
็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ“ใจใจใฏไฝ•ใฎ้–ขไฟ‚ใ‚‚ใ‚ใ‚Šใพใ›ใ‚“
06:11
but the idea is that you open a box
162
371100
2340
ใŒใ€็ฎฑใ‚’้–‹ใ‘ใ‚‹
06:13
and all of these spirits come out
163
373440
2580
ใจใ“ใ‚Œใ‚‰ใฎ้œŠใŒใ™ในใฆๅ‡บใฆใใฆ
06:16
and problems come out that you did not expect.
164
376020
3840
ใ€ไบˆๆƒณใ—ใฆใ„ใชใ‹ใฃใŸๅ•้กŒใŒๅ‡บใฆใใ‚‹ใจใ„ใ†่€ƒใˆใงใ™ ใ€‚
06:19
Unexpected, right?
165
379860
1443
ไบˆๆƒณๅค–ใงใ™ใ‚ˆใญ๏ผŸ
06:22
For example, "I'm unsure about using AI in healthcare.
166
382980
5000
ใŸใจใˆใฐใ€ใ€Œ ๅŒป็™‚ๅˆ†้‡Žใง AI ใ‚’ไฝฟ็”จใ™ใ‚‹ใ“ใจใซใคใ„ใฆใฏ่‡ชไฟกใŒใ‚ใ‚Šใพใ›ใ‚“ใ€‚AI ใฏ
06:29
I think it's opening a Pandora's box
167
389550
4110
ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ“ใจใซใชใ‚Š
06:33
and will lead to ethical problems we're not ready for."
168
393660
4047
ใ€ ็งใŸใกใŒๆบ–ๅ‚™ใŒใงใใฆใ„ใชใ„ๅ€ซ็†็š„ใชๅ•้กŒใ‚’ๅผ•ใ่ตทใ“ใ™ใจๆ€ใ„ใพใ™ใ€‚ใ€
06:38
Okay.
169
398610
1080
ใ‚ใ‹ใฃใŸใ€‚
06:39
So I think it's gonna create unexpected problems.
170
399690
3603
ใใ†ใ™ใ‚‹ใจใ€ ๆ€ใ‚ใฌใƒˆใƒฉใƒ–ใƒซใŒ่ตทใใ‚‹ใจๆ€ใ„ใพใ™ใ€‚
06:44
And this is very common, I think, in many areas of AI.
171
404400
4140
ใใ—ใฆใ€ใ“ใ‚Œใฏ AI ใฎๅคšใใฎๅˆ†้‡Žใง้žๅธธใซไธ€่ˆฌ็š„ใชใ“ใจใ ใจๆ€ใ„ใพใ™ใ€‚
06:48
On the news this morning I was listening to about the big...
172
408540
3953
ไปŠๆœใฎใƒ‹ใƒฅใƒผใ‚นใง็งใฏ ๅคงใใชๅ•้กŒใซใคใ„ใฆ่žใ„ใฆใ„ใพใ—ใŸ...
06:55
Not the problem, but the worry politicians have.
173
415590
3330
ๅ•้กŒใงใฏใชใใ€ ๆ”ฟๆฒปๅฎถใŒๆŠฑใˆใฆใ„ใ‚‹ๆ‡ธๅฟตใซใคใ„ใฆใงใ™ใ€‚
06:58
In the UK, we've got the elections coming
174
418920
3420
่‹ฑๅ›ฝใงใฏ้ธๆŒ™ใŒ่ฟ‘ใฅใ„ใฆใŠใ‚Š
07:02
and in the US the elections this year,
175
422340
2610
ใ€็ฑณๅ›ฝใงใฏไปŠๅนด้ธๆŒ™ใŒใ‚ใ‚Šใ€
07:04
a big worry about AI creating deep fakes,
176
424950
4500
AIใŒใƒ‡ใ‚ฃใƒผใƒ—ใƒ•ใ‚งใ‚คใ‚ฏใ‚„
07:09
fake videos that influence the voter
177
429450
3420
ๅฝใฎใƒ“ใƒ‡ใ‚ชใ‚’ไฝœๆˆใ—ใฆๆœ‰ๆจฉ่€…ใซๅฝฑ้Ÿฟใ‚’ไธŽใˆ
07:12
and we get the wrong result or a different result.
178
432870
4293
ใ€้–“้•ใฃใŸ็ตๆžœ ใ‚„็•ฐใชใ‚‹็ตๆžœใŒๅพ—ใ‚‰ใ‚Œใ‚‹ใฎใงใฏใชใ„ใ‹ใจใ„ใ†ๅคงใใชๆ‡ธๅฟตใŒใ‚ใ‚‹ใ€‚
07:18
So people think, "Yeah, AI good.
179
438270
3360
ใใฎใŸใ‚ไบบใ€…ใฏใ€ใ€ŒAI ใฏๅ„ชใ‚Œใฆใ„ใ‚‹ใ€‚
07:21
But it's opening a Pandora's box."
180
441630
3510
ใ—ใ‹ใ—ใ€ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใฆใ—ใพใฃใฆใ„ใ‚‹ใ€ใจ่€ƒใˆใ‚‹ใฎใงใ™ใ€‚
07:25
Because all of these unexpected problems
181
445140
2250
ใชใœใชใ‚‰ใ€ใ“ใ‚Œใ‚‰ใฎไบˆๆœŸใ›ใฌๅ•้กŒใŒใ™ในใฆ
07:27
are going to appear.
182
447390
1530
็พใ‚Œใ‚‹ใ‹ใ‚‰ใงใ™ใ€‚
07:28
Very, very true.
183
448920
1170
ใจใฆใ‚‚ใ€ใจใฆใ‚‚ๆœฌๅฝ“ใงใ™ใ€‚
07:30
Even if we get regulation.
184
450090
2190
ใŸใจใˆ่ฆๅˆถใŒใ‹ใ‹ใฃใฆใ‚‚ใ€‚
07:32
So it's a good expression, right?
185
452280
2070
ใใ‚Œใฏ่‰ฏใ„่กจ็พใงใ™ใ‚ˆใญ๏ผŸ
07:34
To open a Pandora's box.
186
454350
2703
ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใŸใ‚ใซใ€‚
07:41
Good.
187
461400
1110
่‰ฏใ„ใ€‚
07:42
So it's more negative.
188
462510
1650
ใ ใ‹ใ‚‰ใ‚‚ใฃใจใƒใ‚ฌใƒ†ใ‚ฃใƒ–ใชใ‚“ใงใ™ใ€‚
07:44
Yes, Kristen, yes.
189
464160
2610
ใฏใ„ใ€ใ‚ฏใƒชใ‚นใƒ†ใƒณใ€ใฏใ„ใ€‚
07:46
Yeah, I think it's negative 'cause...
190
466770
1413
ใ‚ใ‚ใ€ใใ‚Œใฏใƒใ‚ฌใƒ†ใ‚ฃใƒ–ใชใ“ใจใ ใจๆ€ใ†ใ‚ˆใ€ใ ใฃใฆ...
07:48
Yeah, Abdula, you were saying that it's a happy event.
191
468183
3537
ใใ†ใ ใ€ใ‚ขใƒ–ใƒ‰ใ‚ฅใƒฉใ€ใ‚ใชใŸใฏ ใใ‚ŒใŒๅนธใ›ใชๅ‡บๆฅไบ‹ใ ใจ่จ€ใฃใฆใŸใญใ€‚
07:51
Not really.
192
471720
1590
ใ‚ใพใ‚Šใ€‚
07:53
I think Pandora's box is a very...
193
473310
2250
ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใฏใจใฆใ‚‚...
07:55
It's more negative where people are worried.
194
475560
3180
ไบบใ€…ใŒๅฟƒ้…ใ—ใฆใ„ใ‚‹ใจใ“ใ‚ใฏใ‚‚ใฃใจใƒใ‚ฌใƒ†ใ‚ฃใƒ–ใชใ‚‚ใฎใ ใจๆ€ใ„ใพใ™ใ€‚
07:58
So very often we say, "Don't do that
195
478740
2520
ใใฎใŸใ‚ใ€็งใŸใกใฏใ‚ˆใใ€Œใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ“ใจใซใชใ‚‹ใฎใงใ€ใใ‚“ใชใ“ใจใฏใ‚„ใ‚ใฆใใ ใ•ใ„ใ€ใจ่จ€ใ„ใพใ™
08:01
because you'll open a Pandora's box." Right?
196
481260
2280
ใ€‚ ๅณ๏ผŸ
08:03
It can lead to a negative consequence.
197
483540
2403
ใƒžใ‚คใƒŠใ‚นใฎ็ตๆžœใ‚’ๆ‹›ใๅฏ่ƒฝๆ€งใŒใ‚ใ‚Šใพใ™ใ€‚
08:08
Excellent. Good.
198
488730
993
็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚ ่‰ฏใ„ใ€‚
08:10
Christian, hello.
199
490740
990
ใ‚ฏใƒชใ‚นใƒใƒฃใƒณใ€ใ“ใ‚“ใซใกใฏใ€‚ ใพใŸ
08:11
Happy to see you again as well.
200
491730
1620
ใŠไผšใ„ใงใใฆๅฌ‰ใ—ใ„ใงใ™ใ€‚
08:13
Hi. Yes. (chuckles)
201
493350
3333
ใ“ใ‚“ใซใกใฏใ€‚ ใฏใ„ใ€‚ (็ฌ‘ใ„)
08:20
(Keith laughing)
202
500713
1067
(ใ‚ญใƒผใ‚น็ฌ‘ใ„)
08:21
Salman, I like your comment. That's nice.
203
501780
2163
ใ‚ตใƒซใƒžใƒณใ€ใ‚ใชใŸใฎใ‚ณใƒกใƒณใƒˆใฏๆฐ—ใซๅ…ฅใฃใฆใ„ใพใ™ใ€‚ ใใ‚Œใฏใ™ใฐใ‚‰ใ—ใ„ใ€‚
08:27
And FinOsin says, interestingly,
204
507630
2017
ใใ—ใฆใ€FinOsin ใฏ่ˆˆๅ‘ณๆทฑใ„ใ“ใจใซใ€
08:29
"In fact, lots of graduate programs
205
509647
2453
ใ€ŒๅฎŸ้š›ใ€ๅคšใใฎๅคงๅญฆ้™ขใƒ—ใƒญใ‚ฐใƒฉใƒ ใงใฏใ€ๅŒป็™‚ใ‚ทใ‚นใƒ†ใƒ ใ‚’ๆ”นๅ–„ใ™ใ‚‹ใŸใ‚ใซใƒ‡ใƒผใ‚ฟใจ AI ใฎ
08:32
they teach about using the combination
206
512100
2370
็ต„ใฟๅˆใ‚ใ›ใ‚’ไฝฟ็”จใ™ใ‚‹ใ“ใจใซใคใ„ใฆๆ•™ใˆใฆใ„ใพใ™
08:34
between data and AI to improve the health system."
207
514470
3150
ใ€‚ใ€ใจ่ฟฐในใฆใ„ใพใ™ใ€‚
08:37
Interesting. Great.
208
517620
1530
้ข็™ฝใ„ใ€‚ ็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚
08:39
Excellent. Thank you for sharing.
209
519150
1440
็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚ ๅ…ฑๆœ‰ใ—ใฆใ„ใŸใ ใใ‚ใ‚ŠใŒใจใ†ใ”ใ–ใ„ใพใ™ใ€‚
08:40
That's lovely.
210
520590
1200
ๅฏๆ„›ใ„ใญใ€‚
08:41
Okay.
211
521790
1230
ใ‚ใ‹ใฃใŸใ€‚
08:43
We're going to go onto...
212
523020
1470
็ถšใ‘ใพใ™...
08:44
I'm looking for number, I've lost it.
213
524490
1890
็•ชๅทใ‚’ๆŽขใ—ใฆใ„ใพใ™ใŒใ€็ด›ๅคฑใ—ใฆใ—ใพใ„ใพใ—ใŸใ€‚
08:46
We're on idioms, right?
214
526380
960
ๆ…ฃ็”จๅฅใ‚’ไฝฟใฃใฆใ„ใพใ™ใ‚ˆใญ๏ผŸ
08:47
But where is the next one?
215
527340
1890
ใ—ใ‹ใ—ใ€ๆฌกใฏใฉใ“ใซใ‚ใ‚‹ใฎใงใ—ใ‚‡ใ†ใ‹๏ผŸ
08:49
Number three.
216
529230
1530
ๆ•ฐ3ใ€‚
08:50
Here, idiom number three.
217
530760
1140
ใ“ใ“ใงใ€ใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใใฎ 3ใ€‚
08:51
Here we go.
218
531900
833
ใ•ใ่กŒใ“ใ†ใ€‚
08:54
What's this one?
219
534750
1353
ใ“ใ‚Œใฏไฝ•ใงใ™ใ‹๏ผŸ
08:59
(gentle piano music)
220
539887
1643
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:01
Pablo says the vocabulary is mind blowing.
221
541530
2340
ใƒ‘ใƒ–ใƒญใ•ใ‚“ใฏใ€ใใฎ่ชžๅฝ™ๅŠ›ใŒ้ฉšใในใใ‚‚ใฎใงใ‚ใ‚‹ใจ่จ€ใ„ใพใ™ใ€‚
09:03
Great, good.
222
543870
887
ใ™ใ”ใ„ใ€ใ„ใ„ใงใ™ใญใ€‚
09:04
(gentle piano music)
223
544757
1250
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
09:06
"To leg it." Dhoni, that's amazing.
224
546007
2843
ใ€Œ่ถณใ‚’ไผธใฐใ™ใŸใ‚ใซใ€ใ€‚ ใƒ‰ใƒผใƒ‹ใ€ใ™ใ”ใ„ใงใ™ใญใ€‚
09:08
I love that expression.
225
548850
1140
็งใฏใใฎ่กจ็พใŒๅคงๅฅฝใใงใ™ใ€‚ ่ถณใ‚’
09:09
To leg it, to run away.
226
549990
1789
่ธใฟๅ…ฅใ‚Œใ‚‹ใ“ใจใ€้€ƒใ’ใ‚‹ใ“ใจใ€‚
09:11
(gentle piano music)
227
551779
2261
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰ใใ†ใงใฏใ‚ใ‚Šใพใ›ใ‚“
09:14
Not quite.
228
554040
976
ใ€‚
09:15
(gentle piano music)
229
555016
1454
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:16
Lovely idea, ERFAN.
230
556470
1844
็ด ๆ•ตใชใ‚ขใ‚คใƒ‡ใ‚ขใงใ™ใญใ€ใ‚จใƒซใƒ•ใ‚กใƒณใ€‚
09:18
(gentle piano music)
231
558314
1703
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:20
Krithika, good idea.
232
560017
1793
ใ‚ฏใƒชใ‚ทใ‚ซใ€ใ„ใ„ใ‚ขใ‚คใƒ‡ใ‚ขใ ใญใ€‚
09:21
(gentle piano music)
233
561810
3637
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
09:25
"Last straw." Maybe?
234
565447
3282
ใ€Œๆœ€ๅพŒใฎใ‚ใ‚‰ใ€ใ€‚ ๅคšๅˆ†๏ผŸ
09:28
(gentle piano music)
235
568729
950
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:29
(Keith vocalizing)
236
569679
2917
๏ผˆใ‚ญใƒผใ‚นใฎๅฃฐ๏ผ‰ ใ‚‚ใ†
09:34
It's all downhill now. Good.
237
574080
1710
ใ™ใฃใ‹ใ‚Šไธ‹ใ‚Šๅ‚ใ ใ€‚ ่‰ฏใ„ใ€‚
09:35
That's a good one, actually. Yes.
238
575790
2131
ๅฎŸ้š›ใ€ใใ‚Œใฏ่‰ฏใ„ใ“ใจใ ใ€‚ ใฏใ„ใ€‚
09:37
(gentle piano music)
239
577921
3599
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:41
Alex, you're almost there.
240
581520
1885
ใ‚ขใƒฌใƒƒใ‚ฏใ‚นใ€ใ‚‚ใ†ใ™ใใงใ™ใ‚ˆใ€‚
09:43
(gentle piano music)
241
583405
3155
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
09:46
DW, very, very good.
242
586560
2148
DWใ€ใจใฆใ‚‚ใจใฆใ‚‚่‰ฏใ„ใงใ™ใ€‚
09:48
(gentle piano music)
243
588708
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
09:54
Yeah.
244
594801
833
ใใ†ใงใ™ใญใ€‚ ไปŠๆ—ฅใฏ
09:55
Ernesto and Zlatiborka are on the ball today.
245
595634
3076
ใ‚จใƒซใƒใ‚นใƒˆใจใ‚บใƒฉใƒใƒœใƒซใ‚ซใŒ ๅ‡บๅ ดใ€‚
09:58
As is Hiyan Let.
246
598710
1714
ใƒ’ใƒคใƒณใƒฌใƒƒใƒˆใ‚‚ๅŒๆง˜ใงใ™ใ€‚
10:00
(gentle piano music)
247
600424
2786
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
10:03
Yeah. Excellent, excellent.
248
603210
1740
ใใ†ใงใ™ใญใ€‚ ็ด ๆ™ดใ‚‰ใ—ใ„ใ€็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚
10:04
You're all very, very, very, very, very close, okay?
249
604950
2640
็š†ใ•ใ‚“ใ€ใจใฆใ‚‚ใ€ใจใฆใ‚‚ใ€ใจใฆใ‚‚ใ€ใจใฆใ‚‚ใ€ ใจใฆใ‚‚ใ€ใจใฆใ‚‚ไปฒใŒ่‰ฏใ„ใงใ™ใ‚ˆใ€ๅคงไธˆๅคซใงใ™ใ‹๏ผŸ
10:07
Whoa, (laughs) come down.
250
607590
2973
ใŠใ„ใŠใ„๏ผˆ็ฌ‘๏ผ‰้™ใ‚Šใฆใ“ใ„ใ‚ˆใ€‚
10:12
Very, very, very close.
251
612300
1260
ใจใฆใ‚‚ใ€ใจใฆใ‚‚ใ€ใจใฆใ‚‚่ฟ‘ใ„ใงใ™ใ€‚
10:13
So this one is,
252
613560
2193
ใคใพใ‚Šใ€ใ“ใ‚Œใฏ
10:17
slippery slope.
253
617640
2130
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใงใ™ใ€‚
10:19
Let me show you.
254
619770
833
ๆŠซ้œฒใ•ใ›ใฆใ€‚
10:21
A slippery slope.
255
621630
1353
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚้“ใ€‚
10:23
A slippery slope is "A bad situation that will get worse."
256
623910
5000
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใฏใ€Œใ•ใ‚‰ใซ ๆ‚ชๅŒ–ใ™ใ‚‹ๆ‚ชใ„็Šถๆณใ€ใงใ™ใ€‚
10:29
Right?
257
629880
833
ๅณ๏ผŸ
10:30
You can imagine you're starting to slide.
258
630713
3397
ๆป‘ใ‚Šๅง‹ใ‚ใฆใ„ใ‚‹ใฎใŒๆƒณๅƒใงใใพใ™ใ€‚
10:34
Whoa, that's bad,
259
634110
1320
ใŠใฃใจใ€ใใ‚Œใฏใฒใฉใ„ใ“ใจใงใ™ใŒใ€ใฉใ‚“ใฉใ‚“ๆ‚ชๅŒ–ใ—ใฆใ„ใใฎใงใ€ใ•ใ‚‰ใซ
10:35
but it's gonna get worse
260
635430
833
ๆ‚ชๅŒ–ใ™ใ‚‹ใงใ—ใ‚‡ใ†
10:36
'cause you're going down and down and down
261
636263
1627
10:37
and down. (imitating explosion sound)
262
637890
990
ใ€‚ ๏ผˆ็ˆ†็™บ้Ÿณใ‚’็œŸไผผใฆ๏ผ‰
10:38
Until you explode.
263
638880
1440
็ˆ†็™บใ™ใ‚‹ใพใงใ€‚
10:40
So a slippery slope is idiomatic
264
640320
3240
ใคใพใ‚Šใ€ใ€Œๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚้“ใ€ใฏๆ…ฃ็”จๅฅใงใ‚ใ‚Š
10:43
and it just means a bad situation that will get worse.
265
643560
2970
ใ€ๆ‚ชๅŒ–ใ™ใ‚‹ใงใ‚ใ‚ใ†ๆ‚ชใ„็Šถๆณใ‚’ๆ„ๅ‘ณใ™ใ‚‹ใ ใ‘ใงใ™ ใ€‚
10:46
For example,
266
646530
1117
ใŸใจใˆใฐใ€
10:47
"Relying on AI for hiring decisions..."
267
647647
5000
ใ€ŒๆŽก็”จใฎๆฑบๅฎšใ‚’ AI ใซไพๅญ˜ใ™ใ‚‹...ใ€
10:52
Well let's call it hiring new recruits, bit easier.
268
652710
3963
ใพใ‚ใ€ ใ‚‚ใ†ๅฐ‘ใ—็ฐกๅ˜ใซใ€ๆ–ฐๅ…ฅ็คพๅ“กใฎๆŽก็”จใจๅ‘ผใ‚“ใงใฟใพใ—ใ‚‡ใ†ใ€‚
10:58
"Is a slippery slope that could lead to more people
269
658177
3713
ใ€Œ ใ‚ˆใ‚ŠๅคšใใฎไบบใŒ
11:01
being discriminated against."
270
661890
2097
ๅทฎๅˆฅใ•ใ‚Œใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚‹ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใ ใ€‚ใ€
11:05
Okay?
271
665130
1590
ใ‚ใ‹ใฃใŸ๏ผŸ
11:06
So it is a slippery slope.
272
666720
1680
ใจใ„ใ†ใ“ใจใงๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚้“ใงใ™ใ€‚
11:08
It's a bad situation that will get worse
273
668400
2640
11:11
because more people can be discriminated against.
274
671040
4650
ใ‚ˆใ‚ŠๅคšใใฎไบบใŒ ๅทฎๅˆฅใ•ใ‚Œใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚‹ใŸใ‚ใ€็Šถๆณใฏใ•ใ‚‰ใซๆ‚ชๅŒ–ใ™ใ‚‹ใงใ—ใ‚‡ใ†ใ€‚
11:15
Now, I don't know if you know this,
275
675690
2283
ใ•ใฆใ€ใ“ใ‚Œใ‚’็Ÿฅใฃใฆใ„ใ‚‹ใ‹ใฉใ†ใ‹ใฏใ‚ใ‹ใ‚Šใพใ›ใ‚“ใŒใ€
11:19
I'm sure most of you do,
276
679110
1350
ใปใจใ‚“ใฉใฎไบบใŒ็Ÿฅใฃใฆใ„ใ‚‹ใจๆ€ใ„ใพใ™
11:20
but AI is based on language models.
277
680460
5000
ใŒใ€AI ใฏ่จ€่ชžใƒขใƒ‡ใƒซใซๅŸบใฅใ„ใฆใ„ใพใ™ใ€‚
11:26
And so some companies use AI to filter candidates
278
686130
4167
ใใฎใŸใ‚ใ€AI ใ‚’ไฝฟ็”จใ—ใฆ
11:31
who want to join their company.
279
691650
2220
่‡ช็คพใธใฎๅ…ฅ็คพใ‚’ๅธŒๆœ›ใ™ใ‚‹ๅ€™่ฃœ่€…ใ‚’ใƒ•ใ‚ฃใƒซใ‚ฟใƒชใƒณใ‚ฐใ™ใ‚‹ไผๆฅญใ‚‚ใ‚ใ‚Šใพใ™ใ€‚
11:33
But of course, if AI is trained on a language model
280
693870
4110
ใ—ใ‹ใ—ใ€ใ‚‚ใกใ‚ใ‚“ใ€AI ใŒๅใฃใŸ่จ€่ชžใƒขใƒ‡ใƒซใ‚„ไบบใ‚’ๅทฎๅˆฅใ™ใ‚‹ ่จ€่ชžใƒขใƒ‡ใƒซใงใƒˆใƒฌใƒผใƒ‹ใƒณใ‚ฐใ•ใ‚ŒใŸๅ ดๅˆ
11:37
that is biased or that discriminates against people,
281
697980
4620
ใ€
11:42
then the results will be discriminating against people.
282
702600
2973
ใใฎ็ตๆžœใฏ ไบบใ‚’ๅทฎๅˆฅใ™ใ‚‹ใ“ใจใซใชใ‚Šใพใ™ใ€‚
11:46
And so there's a big controversy,
283
706470
2370
ใใ“ใงใ€
11:48
a big worry,
284
708840
1650
11:50
that using AI for recruitment
285
710490
4020
ๆŽก็”จๆดปๅ‹•ใซ AI ใ‚’ไฝฟ็”จใ™ใ‚‹ใจ
11:54
will discriminate against people.
286
714510
2310
ไบบใ€…ใŒๅทฎๅˆฅใ•ใ‚Œใ‚‹ใฎใงใฏใชใ„ใ‹ใจใ„ใ†ๅคงใใช่ซ–ไบ‰ใ€ๅคงใใชๆ‡ธๅฟตใŒ็”Ÿใ˜ใฆใ„ใพใ™ใ€‚
11:56
In fact, AI in any role might discriminate against people,
287
716820
5000
ๅฎŸ้š›ใ€AI ใฏใฉใฎใ‚ˆใ†ใชๅฝนๅ‰ฒใงใ‚ใฃใฆใ‚‚ใ€ ไบบใ€…ใ€
12:02
especially minority groups.
288
722400
2490
็‰นใซๅฐ‘ๆ•ฐๆดพใ‚’ๅทฎๅˆฅใ™ใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚Šใพใ™ใ€‚
12:04
And that's a slippery slope.
289
724890
1620
ใใ—ใฆใใ‚Œใฏๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใงใ™ใ€‚
12:06
'Cause you start going down,
290
726510
1530
ใ ใฃใฆใ€่ฝใก่พผใฟๅง‹ใ‚ใ‚‹ใจใ€็Šถๆณใฏใ•ใ‚‰ใซ
12:08
it gets worse, it gets worse, it gets worse,
291
728040
1560
ๆ‚ชๅŒ–ใ—ใ€ใ•ใ‚‰ใซ ๆ‚ชๅŒ–ใ—ใ€
12:09
and the problem will just keep on getting worse.
292
729600
2460
ๅ•้กŒใฏใ•ใ‚‰ใซ ๆ‚ชๅŒ–ใ—็ถšใ‘ใ‚‹ใ‹ใ‚‰ใงใ™ใ€‚
12:12
So this expression, a slippery slope,
293
732060
2100
ใ“ใฎ่กจ็พใ€ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚้“ใฏใ€
12:14
it's a nice one that we can use for this context, right?
294
734160
3843
ใ“ใฎๆ–‡่„ˆใงไฝฟ็”จใงใใ‚‹็ด ๆ™ดใ‚‰ใ—ใ„่กจ็พใงใ™ใ‚ˆใญ?
12:19
(indistinct) Thank you.
295
739634
916
๏ผˆไธๆ˜Ž็žญ๏ผ‰ใ‚ใ‚ŠใŒใจใ†ใ”ใ–ใ„ใพใ™ใ€‚
12:20
Saima Jahan, "Relying on AI for writing a scientific paper
296
740550
4740
Saima Jahan ๆฐใ€ใ€Œ ็ง‘ๅญฆ่ซ–ๆ–‡ใ‚’ๆ›ธใใŸใ‚ใซ AI ใซไพๅญ˜ใ™ใ‚‹ใฎใฏ
12:25
is a slippery slope."
297
745290
1257
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใงใ™ใ€‚ใ€
12:27
Also, relying on AI to create IELTS answers
298
747390
5000
ใพใŸใ€IELTS ใฎ่งฃ็ญ”ไฝœๆˆใ‚’ AI ใซไพๅญ˜ใ™ใ‚‹ใฎใฏ
12:33
is a slippery slope.
299
753870
1350
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใงใ™ใ€‚
12:35
I think it can be good,
300
755220
1740
ใใ‚Œใฏ่‰ฏใ„ใ“ใจใ ใจๆ€ใ„ใพใ™
12:36
but to rely too much is a slippery slope.
301
756960
4203
ใŒใ€้ ผใ‚Šใ™ใŽใ‚‹ใจๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใซใชใ‚Šใพใ™ใ€‚
12:42
What's discrimination?
302
762570
1200
ๅทฎๅˆฅใฃใฆไฝ•๏ผŸ
12:43
Discriminate is to do something in favor
303
763770
4650
ๅทฎๅˆฅใจใฏใ€ใ‚ใ‚‹้›†ๅ›ฃใซๅฏพใ—ใฆๆœ‰ๅˆฉใพใŸใฏไธๅˆฉใซไฝ•ใ‹ใ‚’่กŒใ†ใ“ใจใงใ™
12:48
or against a group of people.
304
768420
2763
ใ€‚
12:53
To discriminate against
305
773070
1440
ๅทฎๅˆฅใ™ใ‚‹ใจใฏใ€
12:54
is to do something either in favor of some people
306
774510
3810
ไธ€้ƒจใฎไบบใ€…ใ‚’ๆ”ฏๆŒใ™ใ‚‹
12:58
or against a group of people.
307
778320
2040
ใ‹ใ€ใ‚ใ‚‹ใ‚ฐใƒซใƒผใƒ—ใฎไบบใ€…ใซๅฏพใ—ใฆไฝ•ใ‹ใ‚’่กŒใ†ใ“ใจใงใ™ใ€‚
13:00
Yeah.
308
780360
833
ใ†ใ‚“ใ€‚
13:03
Okay.
309
783060
833
ใ‚ใ‹ใฃใŸใ€‚
13:05
(laughs) It's my first time joining
310
785201
2389
๏ผˆ็ฌ‘๏ผ‰ ๅˆใ‚ใฆๅ‚ๅŠ ใ•ใ›ใฆใ„ใŸใ ใใพใ—ใŸใŒใ€็›ฎใŒ่ฆšใ‚ใŸใ‚ˆใ†
13:07
and my mind just feels like gotten awakened. (laughs)
311
787590
3450
ใชๆฐ—ๅˆ†ใงใ™ ใ€‚ (็ฌ‘) ไปŠ
13:11
You've just woken up.
312
791040
840
13:11
Good, good.
313
791880
1053
่ตทใใŸใฐใ‹ใ‚Šใงใ™ใญใ€‚
่‰ฏใ‹ใฃใŸใ€่‰ฏใ‹ใฃใŸใ€‚
13:15
Here's another one from Salman,
314
795270
1507
Salman ๆฐใฎใ‚‚ใ† 1 ใคใฎใƒกใƒƒใ‚ปใƒผใ‚ธใฏใ€
13:16
"Using AI-driven decision..."
315
796777
2393
ใ€ŒAI ไธปๅฐŽใฎๆฑบๅฎšใ‚’ไฝฟ็”จใ™ใ‚‹...ใ€
13:19
Oh, beautiful English.
316
799170
2677
ใ‚ใ‚ใ€็พŽใ—ใ„่‹ฑ่ชžใงใ™ใ€‚
13:21
"Using AI-driven decision in laws and judgments
317
801847
3653
ใ€Œๆณ•ๅพ‹ใ‚„ๅˆคๆฑบใซใŠใ„ใฆ AI ไธปๅฐŽใฎๆฑบๅฎšใ‚’ไฝฟ็”จใ™ใ‚‹ใ“ใจใฏใ€
13:25
might be a slippery slope."
318
805500
1950
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใซใชใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚Šใพใ™ใ€‚ใ€
13:27
Oh, Salman Abrar, your English is beautiful
319
807450
3120
ใ‚ใ‚ใ€ใ‚ตใƒซใƒžใƒณใƒปใ‚ขใƒ–ใƒฉใƒผใ€ใ‚ใชใŸใฎ ่‹ฑ่ชžใฏ็พŽใ—ใใ€
13:30
and the idea is phenomenal.
320
810570
2820
ใใฎใ‚ขใ‚คใƒ‡ใ‚ขใฏ้ฉš็•ฐ็š„ใงใ™ใ€‚
13:33
Fantastic.
321
813390
1620
็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚
13:35
Like it very, very much. Lovely one to share.
322
815010
2190
ใจใฆใ‚‚ใจใฆใ‚‚ๆฐ—ใซๅ…ฅใฃใฆใ„ใพใ™ใ€‚ ๅ…ฑๆœ‰ใงใใ‚‹็ด ๆ•ตใชใ‚‚ใฎใ€‚
13:37
Okay.
323
817200
1050
ใ‚ใ‹ใฃใŸใ€‚
13:38
Excellent.
324
818250
833
็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚
13:39
Number four, idiom number four.
325
819083
2827
็•ชๅท 4ใ€ใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ็•ชๅท 4ใ€‚ ๆฌก
13:41
Let's move on.
326
821910
833
ใธ็งปใ‚Šใพใ—ใ‚‡ใ†ใ€‚
13:42
We've had...
327
822743
1177
็ง
13:43
Where are we?
328
823920
1290
ใŸใกใฏ... ใ“ใ“ใฏใฉใ“ใงใ™ใ‹๏ผŸ
13:45
Here's number four.
329
825210
1350
ใ“ใกใ‚‰ใŒ4็•ชใงใ™ใ€‚
13:46
I'm just gonna take that off for a moment.
330
826560
2093
ใกใ‚‡ใฃใจใใ‚Œใ‚’ๅค–ใ—ใพใ™ใ€‚
13:49
Right.
331
829770
833
ๅณใ€‚
13:50
Now, I think a lot of you know this one.
332
830603
2440
ใ•ใฆใ€ใ“ใ‚Œใฏใ”ๅญ˜็Ÿฅใฎๆ–นใ‚‚ๅคšใ„ใจๆ€ใ„ใพใ™ใ€‚
13:54
Looking at the comments earlier on,
333
834390
2070
ๅ…ˆใปใฉใฎใ‚ณใƒกใƒณใƒˆใ‚’่ฆ‹ใฆใ€
13:56
I think a lot of you know this.
334
836460
1470
ใ”ๅญ˜็Ÿฅใฎๆ–นใ‚‚ๅคšใ„ใจๆ€ใ„ใพใ™ใ€‚
13:57
Let me know. Let's see your comments, what you think.
335
837930
3363
ใŠ็Ÿฅใ‚‰ใ›ไธ‹ใ•ใ„ใ€‚ ใ‚ใชใŸใฎ ใ‚ณใƒกใƒณใƒˆใ€ใ‚ใชใŸใฎ่€ƒใˆใ‚’่ฆ‹ใฆใฟใพใ—ใ‚‡ใ†ใ€‚
14:01
(gentle piano music)
336
841293
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
14:05
Hmm.
337
845772
833
ใ†ใƒผใ‚“ใ€‚
14:06
(gentle piano music)
338
846605
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:15
Eshan, yeah, very good comment.
339
855387
1983
ใ‚คใƒผใ‚ทใƒฃใƒณใ€ใใ†ใงใ™ใญใ€ใจใฆใ‚‚่‰ฏใ„ใ‚ณใƒกใƒณใƒˆใงใ™ใ€‚
14:17
Absolutely.
340
857370
862
็ตถๅฏพใซใ€‚
14:18
(gentle piano music)
341
858232
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:24
It's a nice idiom, jump on the bandwagon.
342
864141
2768
ใ„ใ„ๆ…ฃ็”จๅฅใงใ™ใญใ€ๆ™‚ๆตใซไน—ใฃใฆใใ ใ•ใ„ใ€‚
14:26
(gentle piano music)
343
866909
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:31
Mohamed Shamo Hamedee, lovely comment. Thank you.
344
871350
4380
ใƒขใƒใƒกใƒ‰ใƒปใ‚ทใƒฃใƒขใƒปใƒใƒกใƒ‡ใ‚ฃใƒผใ€ ็ด ๆ•ตใชใ‚ณใƒกใƒณใƒˆใ€‚ ใ‚ใ‚ŠใŒใจใ†ใ€‚
14:35
(gentle piano music)
345
875730
2700
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:38
Rue, you're almost there.
346
878430
2310
ใƒซใƒผใ€ใ‚‚ใ†ใ™ใใงใ™ใ‚ˆใ€‚
14:40
Almost.
347
880740
884
ใปใจใ‚“ใฉใ€‚
14:41
(gentle piano music)
348
881624
1066
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:42
Elvira, spot on.
349
882690
1880
ใ‚จใƒซใƒ“ใƒฉใ€ใใฎ้€šใ‚Šใ ใ€‚
14:44
(gentle piano music)
350
884570
1270
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:45
Well done, Julia. Nice to see you.
351
885840
2237
ใ‚ˆใใ‚„ใฃใŸใ€ใ‚ธใƒฅใƒชใ‚ขใ€‚ ไผšใˆใฆใ†ใ‚Œใ—ใ„ใ€‚
14:48
(gentle piano music)
352
888077
3613
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
14:51
Alex, this is a really good one.
353
891690
1770
ใ‚ขใƒฌใƒƒใ‚ฏใ‚นใ€ใ“ใ‚Œใฏๆœฌๅฝ“ใซ่‰ฏใ„ๆ›ฒใ ใ‚ˆใ€‚ ใ€Œ
14:53
Hold your horses is another expression.
354
893460
2520
Hold your horseใ€ใ‚‚ๅˆฅใฎ่กจ็พใงใ™ใ€‚
14:55
Actually, it's not the same one, but it's a different idiom.
355
895980
3660
ๅฎŸ้š›ใซใฏๅŒใ˜ ใ‚‚ใฎใงใฏใชใใ€ๅˆฅใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใงใ™ใ€‚
14:59
Yes.
356
899640
833
ใฏใ„ใ€‚
15:00
(gentle piano music)
357
900473
1777
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
15:02
Alberto's got the same here.
358
902250
1804
ใ‚ขใƒซใƒ™ใƒซใƒˆใ‚‚ใ“ใ“ใงใฏๅŒใ˜ใงใ™ใ€‚
15:04
(gentle piano music)
359
904054
966
(ๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ)
15:05
(Keith laughing)
360
905020
1250
(ใ‚ญใƒผใ‚นใฏ็ฌ‘ใ„ใชใŒใ‚‰)
15:06
Nelson, "To put the cart before the horse." Yes.
361
906270
2797
ใƒใƒซใ‚ฝใƒณใ€ใ€Œ ๆœฌๆœซ่ปขๅ€’ใงใ™ใ‚ˆใ€‚ใ€ ใฏใ„ใ€‚
15:09
"Don't put your cart before the horses."
362
909067
2393
ใ€Œ้ฆฌใฎๅ‰ใซใ‚ซใƒผใƒˆใ‚’็ฝฎใใชใ€‚ใ€
15:11
Horses or horse?
363
911460
1407
้ฆฌใงใ™ใ‹ใ€ใใ‚Œใจใ‚‚้ฆฌใงใ™ใ‹๏ผŸ
15:12
(gentle piano music)
364
912867
3083
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
15:18
Yeah.
365
918279
833
ใใ†ใงใ™ใญใ€‚
15:19
(gentle piano music)
366
919112
898
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽ้Ÿณๆฅฝ๏ผ‰
15:20
Sourav, very, very good. Excellent.
367
920010
2103
ใ‚นใƒผใƒฉใƒ•ใ€ใจใฆใ‚‚ใจใฆใ‚‚่‰ฏใ„ใ€‚ ็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚
15:22
(gentle piano music)
368
922113
3777
๏ผˆๅ„ชใ—ใ„ใƒ”ใ‚ขใƒŽๆ›ฒ๏ผ‰
15:25
Excellent. Very, very nice.
369
925890
1170
็ด ๆ™ดใ‚‰ใ—ใ„ใ€‚ ใจใฃใฆใ‚‚ใจใฃใฆใ‚‚็ด ๆ•ตใ€‚
15:27
Good.
370
927060
833
15:27
So let me bring this one back in
371
927893
3037
่‰ฏใ„ใ€‚
ใใ‚Œใงใ€ใ“ใฎๅ•้กŒใ‚’ๅ…ƒใซๆˆปใ•ใ›ใฆใใ ใ•ใ„ใ€‚
15:30
because you're absolutely right
372
930930
1680
ใชใœใชใ‚‰ใ€
15:32
to put the cart before the horse
373
932610
2760
15:35
which means to do things in the wrong order.
374
935370
4263
็‰ฉไบ‹ใ‚’ ้–“้•ใฃใŸ้ †ๅบใง่กŒใ†ใ“ใจใ‚’ๆ„ๅ‘ณใ™ใ‚‹ใ€ๆœฌๆœซ่ปขๅ€’ใจใ„ใ†ใ‚ใชใŸใฎๆ„่ฆ‹ใฏใพใฃใŸใๆญฃใ—ใ„ใ‹ใ‚‰ใงใ™ใ€‚
15:41
For example, "I think using AI-driven..."
375
941010
4140
ใŸใจใˆใฐใ€ใ€ŒAI ใƒ‰ใƒชใƒ–ใƒณใ‚’ไฝฟ็”จใ™ใ‚‹ใจๆ€ใ„ใพใ™...ใ€
15:45
Nice, right?
376
945150
1087
ใ„ใ„ใงใ™ใญใ€‚
15:46
"Using AI-driven teaching assistants
377
946237
3323
ใ€Œๅญฆ็ฟ’ใธใฎๅฝฑ้Ÿฟใ‚’็†่งฃใ™ใ‚‹ๅ‰ใซ AI ไธปๅฐŽใฎใƒ†ใ‚ฃใƒผใƒใƒณใ‚ฐ ใ‚ขใ‚ทใ‚นใ‚ฟใƒณใƒˆใ‚’ไฝฟ็”จใ™ใ‚‹ใฎใฏ
15:49
before we understand their impact on learning is a mistake.
378
949560
5000
้–“้•ใ„ใงใ™ใ€‚
15:55
It's putting the cart before the horse."
379
955440
2127
ใใ‚Œใฏๆœฌๆœซ่ปขๅ€’ใงใ™ใ€‚ใ€
15:59
I think using AI-driven teaching assistance is a mistake.
380
959010
4657
AIใ‚’ๆดป็”จใ—ใŸๆ•™่‚ฒๆ”ฏๆดใ‚’ๅˆฉ็”จใ™ใ‚‹ใฎใฏ้–“้•ใ„ใ ใจๆ€ใ„ใพใ™ ใ€‚
16:05
Well, before we understand their impact
381
965910
1950
ใพใ‚ใ€ใใ‚Œใ‚‰ใŒๅญฆ็ฟ’ใซไธŽใˆใ‚‹ๅฝฑ้Ÿฟใ‚’็†่งฃใ™ใ‚‹ๅ‰ใซใ€ใใ‚Œใฏ
16:07
on learning is a mistake.
382
967860
1620
้–“้•ใ„ใงใ™ใ€‚
16:09
It's putting the cart before the horse,
383
969480
2610
ใใ‚Œใฏๆœฌๆœซ่ปขๅ€’ใงใ‚ใ‚Šใ€
16:12
meaning that we should understand their impact
384
972090
4770
16:16
on learning first,
385
976860
2580
ใพใšๅญฆ็ฟ’ใธใฎๅฝฑ้Ÿฟใ‚’็†่งฃใ—ใ€
16:19
and then use AI-driven teaching assistants.
386
979440
4023
ใใ‚Œใ‹ใ‚‰ AI ไธปๅฐŽใฎ ใƒ†ใ‚ฃใƒผใƒใƒณใ‚ฐใ‚ขใ‚ทใ‚นใ‚ฟใƒณใƒˆใ‚’ไฝฟ็”จใ™ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚‹ใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ใ€‚
16:24
If we use them first
387
984450
1830
ๆœ€ๅˆใซใใ‚Œใ‚‰ใ‚’ไฝฟ็”จใ—ใ€
16:26
and then later discover their impact,
388
986280
3600
ๅพŒใงใใฎๅฝฑ้Ÿฟใ‚’็™บ่ฆ‹ใ—ใŸๅ ดๅˆใงใฏ
16:29
it's too late.
389
989880
840
ๆ‰‹้…โ€‹โ€‹ใ‚Œใซใชใ‚Šใพใ™ใ€‚
16:30
It's putting the cart before the horse.
390
990720
2700
ใใ‚Œใฏๆœฌๆœซ่ปขๅ€’ใงใ™ใ€‚
16:33
So very often with AI,
391
993420
2010
AI ใงใฏใ€
16:35
there are things that we are doing in the wrong order,
392
995430
4140
้–“้•ใฃใŸ้ †ๅบใง็‰ฉไบ‹ใ‚’่กŒใฃใฆใ„ใ‚‹ใ“ใจใŒใ‚ˆใ
16:39
right?
393
999570
833
ใ‚ใ‚Šใพใ™ใ€‚ ใƒซใƒผใƒซใ‚„่ฆๅˆถใ‚’่จญใ‘ใ‚‹ๅ‰ใซใ€
16:41
Letting everybody use AI
394
1001670
2100
่ชฐใ‚‚ใŒ AI ใ‚’ไฝฟ็”จใงใใ‚‹ใ‚ˆใ†ใซใ™ใ‚‹ใฎใฏ
16:43
before having rules and regulation
395
1003770
3990
16:47
is putting the cart before the horse.
396
1007760
2130
ๆœฌๆœซ่ปขๅ€’ใงใ™ใ€‚
16:49
We should have the rules first and then everybody using AI.
397
1009890
3663
ใพใšใƒซใƒผใƒซใ‚’ๅฎšใ‚ ใ€ใใ‚Œใ‹ใ‚‰ๅ…จๅ“กใŒ AI ใ‚’ไฝฟ็”จใ™ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚
16:54
So I'm just gonna add here
398
1014390
3180
ใใ“ใงใ€ใ“ใ“ใซใ€
16:57
the expression that a few of you said,
399
1017570
1900
ไฝ•ไบบใ‹ใฎไบบใŒ่จ€ใฃใŸใ€Œ
17:00
hold your horses,
400
1020450
1350
้ฆฌใ‚’ๆŠฑใ„ใฆใใ ใ•ใ„ใ€ใจใ„ใ†่กจ็พใ‚’่ฟฝๅŠ ใ—ใพใ™ใ€‚ใ“ใ‚Œใฏ
17:01
which is an interesting one,
401
1021800
1170
่ˆˆๅ‘ณๆทฑใ„ใ‚‚ใฎใงใ€
17:02
which just means wait.
402
1022970
1473
ใŸใ ๅพ…ใคใ“ใจใ‚’ๆ„ๅ‘ณใ—ใพใ™ใ€‚
17:06
It is also a...
403
1026300
2490
ใใ‚ŒใฏใพใŸโ€ฆ
17:08
It's an idiom.
404
1028790
833
ๆ…ฃ็”จๅฅใงใ™ใ€‚
17:10
It's not used as a verb.
405
1030710
2010
ๅ‹•่ฉžใจใ—ใฆใฏไฝฟใ‚ใ‚Œใพใ›ใ‚“ใ€‚
17:12
It's used as a imperative.
406
1032720
1830
ๅ‘ฝไปคๅฝขใจใ—ใฆไฝฟใ‚ใ‚Œใพใ™ใ€‚
17:14
When you say, "Wait, just hold your horses."
407
1034550
2850
ใ€Œๅพ…ใฃใฆใ€ ้ฆฌใ‚’ๆŠฑใ„ใฆใใ ใ•ใ„ใ€ใจ่จ€ใฃใŸใจใใ€‚
17:17
So whenever somebody...
408
1037400
1860
ใคใพใ‚Šใ€
17:19
You're in a meeting
409
1039260
870
ไผš่ญฐไธญใซ
17:20
and somebody has an idea and says, "Let's do this."
410
1040130
3780
่ชฐใ‹ใŒใ‚ขใ‚คใƒ‡ใ‚ขใ‚’ๆ€ใ„ใคใใ€ ใ€Œใ“ใ‚Œใ‚’ใ‚„ใ‚ใ†ใ€ใจ่จ€ใฃใŸใจใใฏใ„ใคใงใ‚‚ใ€ใงใ™ใ€‚
17:23
And you say, "Hold your horses.
411
1043910
3330
ใใ—ใฆใ‚ใชใŸใฏใ€ใ€Œ้ฆฌใ‚’ๆ•ใพใˆใฆใใ ใ•ใ„ใ€‚
17:27
We need to think carefully first."
412
1047240
2460
ใพใšๆ…Ž้‡ใซ่€ƒใˆใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚ใ€ใจ่จ€ใ„ใพใ™ใ€‚ ใกใ‚‡ใฃใจ
17:29
Wait, right?
413
1049700
1140
ๅพ…ใฃใฆใใ ใ•ใ„ใญ๏ผŸ
17:30
Hold your horses.
414
1050840
1380
้ฆฌใ‚’ๆŠฑใ„ใฆใใ ใ•ใ„ใ€‚
17:32
It's another nice...
415
1052220
1620
ใ“ใ‚ŒใพใŸใ„ใ„ใงใ™ใญโ€ฆ
17:33
Oops.
416
1053840
833
ใŠใฃใจใ€‚
17:34
Another nice idiom, subliminal advertising. (laughs)
417
1054673
2527
ใ‚‚ใ†ไธ€ใคใฎ็ด ๆ™ดใ‚‰ใ—ใ„ใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใ€ใ‚ตใƒ–ใƒชใƒŸใƒŠใƒซ ๅบƒๅ‘Šใ€‚ (็ฌ‘)
17:37
Excuse me.
418
1057200
1140
ใ™ใฟใพใ›ใ‚“ใ€‚
17:38
Hold your horses, wait.
419
1058340
1653
้ฆฌใ‚’ๆŠฑใˆใฆๅพ…ใฃใฆใใ ใ•ใ„ใ€‚
17:41
The other one put the cart before the horse.
420
1061790
2490
ใ‚‚ใ†ไธ€ไบบใฏ ๆœฌๆœซ่ปขๅ€’ใ ใ€‚
17:44
So that's it.
421
1064280
1620
ใใ‚Œใง็ต‚ใ‚ใ‚Šใงใ™ใ€‚
17:45
So excellent, we've got all of them there.
422
1065900
1950
ใจใฆใ‚‚็ด ๆ™ดใ‚‰ใ—ใ„ใฎใงใ€ใ™ในใฆๆƒใฃใฆใ„ใพใ™ใ€‚
17:47
We've got totally bum, bum, bum, bum.
423
1067850
3090
ๆˆ‘ใ€…ใฏๅฎŒๅ…จใซใƒใƒ ใ€ใƒใƒ ใ€ใƒใƒ ใ€ใƒใƒ ใ‚’ๆŠฑใˆใฆใ„ใพใ™ใ€‚
17:50
We've got to be on autopilot, number one.
424
1070940
3030
็ฌฌไธ€ใซใ€่‡ชๅ‹•ๆ“็ธฆใ‚’ใ™ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚
17:53
To open a Pandora's box, number two.
425
1073970
2910
ใƒ‘ใƒณใƒ‰ใƒฉใฎ็ฎฑใ‚’้–‹ใ‘ใ‚‹ใ€ใใฎ๏ผ’ใ€‚
17:56
A slippery slope, number three.
426
1076880
2460
ๆป‘ใ‚Šใ‚„ใ™ใ„ๅ‚ใ€ใใฎ 3ใ€‚
17:59
And to put the cart before the horse, number four.
427
1079340
4530
ใใ—ใฆ ๆœฌๆœซ่ปขๅ€’ใชใฎใŒ4็•ชใงใ™ใ€‚
18:03
And these are your idioms for today.
428
1083870
5000
ใใ—ใฆใ€ใ“ใ‚Œใ‚‰ใŒไปŠๆ—ฅใฎใ‚คใƒ‡ใ‚ฃใ‚ชใƒ ใงใ™ใ€‚
18:10
(gentle upbeat music)
429
1090216
3167
(็ฉใ‚„ใ‹ใชๆ˜Žใ‚‹ใ„้Ÿณๆฅฝ)

Original video on YouTube.com
ใ“ใฎใ‚ฆใ‚งใƒ–ใ‚ตใ‚คใƒˆใซใคใ„ใฆ

ใ“ใฎใ‚ตใ‚คใƒˆใงใฏ่‹ฑ่ชžๅญฆ็ฟ’ใซๅฝน็ซ‹ใคYouTubeๅ‹•็”ปใ‚’็ดนไป‹ใ—ใพใ™ใ€‚ไธ–็•Œไธญใฎไธ€ๆต่ฌ›ๅธซใซใ‚ˆใ‚‹่‹ฑ่ชžใƒฌใƒƒใ‚นใƒณใ‚’่ฆ‹ใ‚‹ใ“ใจใŒใงใใพใ™ใ€‚ๅ„ใƒ“ใƒ‡ใ‚ชใฎใƒšใƒผใ‚ธใซ่กจ็คบใ•ใ‚Œใ‚‹่‹ฑ่ชžๅญ—ๅน•ใ‚’ใƒ€ใƒ–ใƒซใ‚ฏใƒชใƒƒใ‚ฏใ™ใ‚‹ใจใ€ใใ“ใ‹ใ‚‰ใƒ“ใƒ‡ใ‚ชใ‚’ๅ†็”Ÿใ™ใ‚‹ใ“ใจใŒใงใใพใ™ใ€‚ๅญ—ๅน•ใฏใƒ“ใƒ‡ใ‚ชใฎๅ†็”ŸใจๅŒๆœŸใ—ใฆใ‚นใ‚ฏใƒญใƒผใƒซใ—ใพใ™ใ€‚ใ”ๆ„่ฆ‹ใƒปใ”่ฆๆœ›ใŒใ”ใ–ใ„ใพใ—ใŸใ‚‰ใ€ใ“ใกใ‚‰ใฎใŠๅ•ใ„ๅˆใ‚ใ›ใƒ•ใ‚ฉใƒผใƒ ใ‚ˆใ‚Šใ”้€ฃ็ตกใใ ใ•ใ„ใ€‚

https://forms.gle/WvT1wiN1qDtmnspy7