WEBVTT Kind: captions Language: en 00:00:00.000 --> 00:00:01.470 [Music] 00:00:01.470 --> 00:00:01.480 [Music] 00:00:01.480 --> 00:00:06.640 [Music] [Applause] 00:00:06.640 --> 00:00:06.650 00:00:06.650 --> 00:00:07.260 [Music] 00:00:07.260 --> 00:00:07.270 [Music] 00:00:07.270 --> 00:00:11.310 [Music] [Applause] 00:00:11.310 --> 00:00:11.320 00:00:11.320 --> 00:00:13.910 hello everyone happy Friday Friday from 00:00:13.910 --> 00:00:13.920 hello everyone happy Friday Friday from 00:00:13.920 --> 00:00:16.109 hello everyone happy Friday Friday from Radio row here at the Super Bowl in New 00:00:16.109 --> 00:00:16.119 Radio row here at the Super Bowl in New 00:00:16.119 --> 00:00:17.310 Radio row here at the Super Bowl in New Orleans we're going to be hearing from 00:00:17.310 --> 00:00:17.320 Orleans we're going to be hearing from 00:00:17.320 --> 00:00:19.230 Orleans we're going to be hearing from some of the players in just a bit I'm KY 00:00:19.230 --> 00:00:19.240 some of the players in just a bit I'm KY 00:00:19.240 --> 00:00:21.230 some of the players in just a bit I'm KY wire welcome to CNN 10 where I simply 00:00:21.230 --> 00:00:21.240 wire welcome to CNN 10 where I simply 00:00:21.240 --> 00:00:23.509 wire welcome to CNN 10 where I simply tell you the what letting you decide 00:00:23.509 --> 00:00:23.519 tell you the what letting you decide 00:00:23.519 --> 00:00:25.429 tell you the what letting you decide what to think your 10 minutes of News 00:00:25.429 --> 00:00:25.439 what to think your 10 minutes of News 00:00:25.439 --> 00:00:27.390 what to think your 10 minutes of News starts right now we're starting today 00:00:27.390 --> 00:00:27.400 starts right now we're starting today 00:00:27.400 --> 00:00:29.390 starts right now we're starting today with a new artificial intelligence model 00:00:29.390 --> 00:00:29.400 with a new artificial intelligence model 00:00:29.400 --> 00:00:31.189 with a new artificial intelligence model that's disrup ing the technology 00:00:31.189 --> 00:00:31.199 that's disrup ing the technology 00:00:31.199 --> 00:00:33.869 that's disrup ing the technology industry a powerful and efficient AI 00:00:33.869 --> 00:00:33.879 industry a powerful and efficient AI 00:00:33.879 --> 00:00:36.030 industry a powerful and efficient AI model developed by a year- old Chinese 00:00:36.030 --> 00:00:36.040 model developed by a year- old Chinese 00:00:36.040 --> 00:00:38.470 model developed by a year- old Chinese startup company called Deep seek is 00:00:38.470 --> 00:00:38.480 startup company called Deep seek is 00:00:38.480 --> 00:00:40.430 startup company called Deep seek is proving it can nearly match the 00:00:40.430 --> 00:00:40.440 proving it can nearly match the 00:00:40.440 --> 00:00:42.389 proving it can nearly match the capabilities of its more famous US 00:00:42.389 --> 00:00:42.399 capabilities of its more famous US 00:00:42.399 --> 00:00:46.750 capabilities of its more famous US Rivals like open AI gp4 meta's llama and 00:00:46.750 --> 00:00:46.760 Rivals like open AI gp4 meta's llama and 00:00:46.760 --> 00:00:49.549 Rivals like open AI gp4 meta's llama and Google's Gemini and it's doing it all at 00:00:49.549 --> 00:00:49.559 Google's Gemini and it's doing it all at 00:00:49.559 --> 00:00:51.750 Google's Gemini and it's doing it all at a fraction of the cost the company says 00:00:51.750 --> 00:00:51.760 a fraction of the cost the company says 00:00:51.760 --> 00:00:55.310 a fraction of the cost the company says it's spent just $5.6 million powering 00:00:55.310 --> 00:00:55.320 it's spent just $5.6 million powering 00:00:55.320 --> 00:00:58.709 it's spent just $5.6 million powering its base AI model called R1 while its us 00:00:58.709 --> 00:00:58.719 its base AI model called R1 while its us 00:00:58.719 --> 00:01:01.069 its base AI model called R1 while its us rival spent hundreds of millions if not 00:01:01.069 --> 00:01:01.079 rival spent hundreds of millions if not 00:01:01.079 --> 00:01:03.389 rival spent hundreds of millions if not billions of dollarss on powering their 00:01:03.389 --> 00:01:03.399 billions of dollarss on powering their 00:01:03.399 --> 00:01:06.190 billions of dollarss on powering their AI Technologies what's also raising 00:01:06.190 --> 00:01:06.200 AI Technologies what's also raising 00:01:06.200 --> 00:01:08.990 AI Technologies what's also raising eyebrows is that the US has restricted 00:01:08.990 --> 00:01:09.000 eyebrows is that the US has restricted 00:01:09.000 --> 00:01:10.789 eyebrows is that the US has restricted the supply of supercharged computer 00:01:10.789 --> 00:01:10.799 the supply of supercharged computer 00:01:10.799 --> 00:01:13.749 the supply of supercharged computer chips that power AI to China meaning 00:01:13.749 --> 00:01:13.759 chips that power AI to China meaning 00:01:13.759 --> 00:01:17.030 chips that power AI to China meaning deep seek has supposedly able to achieve 00:01:17.030 --> 00:01:17.040 deep seek has supposedly able to achieve 00:01:17.040 --> 00:01:20.270 deep seek has supposedly able to achieve this at a lowcost model on less capable 00:01:20.270 --> 00:01:20.280 this at a lowcost model on less capable 00:01:20.280 --> 00:01:23.670 this at a lowcost model on less capable AI chips AI is a power hungry cost 00:01:23.670 --> 00:01:23.680 AI chips AI is a power hungry cost 00:01:23.680 --> 00:01:26.749 AI chips AI is a power hungry cost intensive technology last year Sam Alman 00:01:26.749 --> 00:01:26.759 intensive technology last year Sam Alman 00:01:26.759 --> 00:01:29.109 intensive technology last year Sam Alman the CEO of open AI said the industry 00:01:29.109 --> 00:01:29.119 the CEO of open AI said the industry 00:01:29.119 --> 00:01:31.069 the CEO of open AI said the industry would need trillions ions of dollars 00:01:31.069 --> 00:01:31.079 would need trillions ions of dollars 00:01:31.079 --> 00:01:33.389 would need trillions ions of dollars from investors to develop the in demand 00:01:33.389 --> 00:01:33.399 from investors to develop the in demand 00:01:33.399 --> 00:01:35.469 from investors to develop the in demand chips needed to power the data centers 00:01:35.469 --> 00:01:35.479 chips needed to power the data centers 00:01:35.479 --> 00:01:38.590 chips needed to power the data centers that run the complex AI models r1's 00:01:38.590 --> 00:01:38.600 that run the complex AI models r1's 00:01:38.600 --> 00:01:40.789 that run the complex AI models r1's release is now changing the industry's 00:01:40.789 --> 00:01:40.799 release is now changing the industry's 00:01:40.799 --> 00:01:42.469 release is now changing the industry's understanding of how much investment is 00:01:42.469 --> 00:01:42.479 understanding of how much investment is 00:01:42.479 --> 00:01:45.510 understanding of how much investment is needed in AI the Deep seek app has 00:01:45.510 --> 00:01:45.520 needed in AI the Deep seek app has 00:01:45.520 --> 00:01:47.429 needed in AI the Deep seek app has surged on the App Store charts 00:01:47.429 --> 00:01:47.439 surged on the App Store charts 00:01:47.439 --> 00:01:50.469 surged on the App Store charts surpassing chat GPT with millions of 00:01:50.469 --> 00:01:50.479 surpassing chat GPT with millions of 00:01:50.479 --> 00:01:52.510 surpassing chat GPT with millions of downloads and it shook up Wall Street 00:01:52.510 --> 00:01:52.520 downloads and it shook up Wall Street 00:01:52.520 --> 00:01:54.469 downloads and it shook up Wall Street sending stocks for the leading supplier 00:01:54.469 --> 00:01:54.479 sending stocks for the leading supplier 00:01:54.479 --> 00:01:56.990 sending stocks for the leading supplier of AI chips and other tech companies 00:01:56.990 --> 00:01:57.000 of AI chips and other tech companies 00:01:57.000 --> 00:02:00.310 of AI chips and other tech companies plunging earlier in the week CNN's Brian 00:02:00.310 --> 00:02:00.320 plunging earlier in the week CNN's Brian 00:02:00.320 --> 00:02:02.310 plunging earlier in the week CNN's Brian spoke to experts Who weigh in on how 00:02:02.310 --> 00:02:02.320 spoke to experts Who weigh in on how 00:02:02.320 --> 00:02:04.630 spoke to experts Who weigh in on how much of a threat deep seat could pose to 00:02:04.630 --> 00:02:04.640 much of a threat deep seat could pose to 00:02:04.640 --> 00:02:08.150 much of a threat deep seat could pose to years of progress in US AI 00:02:08.150 --> 00:02:08.160 years of progress in US AI 00:02:08.160 --> 00:02:10.949 years of progress in US AI leadership a blockbuster reveal showing 00:02:10.949 --> 00:02:10.959 leadership a blockbuster reveal showing 00:02:10.959 --> 00:02:12.869 leadership a blockbuster reveal showing that China could be closing the Gap with 00:02:12.869 --> 00:02:12.879 that China could be closing the Gap with 00:02:12.879 --> 00:02:14.830 that China could be closing the Gap with the US in the development of artificial 00:02:14.830 --> 00:02:14.840 the US in the development of artificial 00:02:14.840 --> 00:02:17.030 the US in the development of artificial intelligence a Chinese startup company 00:02:17.030 --> 00:02:17.040 intelligence a Chinese startup company 00:02:17.040 --> 00:02:18.710 intelligence a Chinese startup company called Deep seek has shown off a 00:02:18.710 --> 00:02:18.720 called Deep seek has shown off a 00:02:18.720 --> 00:02:21.229 called Deep seek has shown off a striking new development an AI program 00:02:21.229 --> 00:02:21.239 striking new development an AI program 00:02:21.239 --> 00:02:24.190 striking new development an AI program called R1 which deep seek says has very 00:02:24.190 --> 00:02:24.200 called R1 which deep seek says has very 00:02:24.200 --> 00:02:27.229 called R1 which deep seek says has very similar capabilities to chat GPT the AI 00:02:27.229 --> 00:02:27.239 similar capabilities to chat GPT the AI 00:02:27.239 --> 00:02:28.910 similar capabilities to chat GPT the AI model developed by the American Tech 00:02:28.910 --> 00:02:28.920 model developed by the American Tech 00:02:28.920 --> 00:02:30.350 model developed by the American Tech Giant open a 00:02:30.350 --> 00:02:30.360 Giant open a 00:02:30.360 --> 00:02:32.710 Giant open a it basically was about as good and in a 00:02:32.710 --> 00:02:32.720 it basically was about as good and in a 00:02:32.720 --> 00:02:34.430 it basically was about as good and in a couple of cases maybe a little bit 00:02:34.430 --> 00:02:34.440 couple of cases maybe a little bit 00:02:34.440 --> 00:02:35.830 couple of cases maybe a little bit better and that's impressive because 00:02:35.830 --> 00:02:35.840 better and that's impressive because 00:02:35.840 --> 00:02:38.229 better and that's impressive because it's out of nowhere but here's the rub 00:02:38.229 --> 00:02:38.239 it's out of nowhere but here's the rub 00:02:38.239 --> 00:02:40.110 it's out of nowhere but here's the rub the Chinese company says it only spent 00:02:40.110 --> 00:02:40.120 the Chinese company says it only spent 00:02:40.120 --> 00:02:43.589 the Chinese company says it only spent $5.6 million training its AI program 00:02:43.589 --> 00:02:43.599 $5.6 million training its AI program 00:02:43.599 --> 00:02:45.270 $5.6 million training its AI program compared to the hundreds of millions and 00:02:45.270 --> 00:02:45.280 compared to the hundreds of millions and 00:02:45.280 --> 00:02:47.470 compared to the hundreds of millions and in some cases billions of dollars that 00:02:47.470 --> 00:02:47.480 in some cases billions of dollars that 00:02:47.480 --> 00:02:50.110 in some cases billions of dollars that American companies open AI meta and 00:02:50.110 --> 00:02:50.120 American companies open AI meta and 00:02:50.120 --> 00:02:52.589 American companies open AI meta and Google spent on their AI Technologies 00:02:52.589 --> 00:02:52.599 Google spent on their AI Technologies 00:02:52.599 --> 00:02:54.990 Google spent on their AI Technologies it's about 30 times cheaper than the top 00:02:54.990 --> 00:02:55.000 it's about 30 times cheaper than the top 00:02:55.000 --> 00:02:57.430 it's about 30 times cheaper than the top US models and that news Jarred Wall 00:02:57.430 --> 00:02:57.440 US models and that news Jarred Wall 00:02:57.440 --> 00:02:59.910 US models and that news Jarred Wall Street Tech giants like Nvidia a top 00:02:59.910 --> 00:02:59.920 Street Tech giants like Nvidia a top 00:02:59.920 --> 00:03:01.910 Street Tech giants like Nvidia a top supplier of AI chips have taken a 00:03:01.910 --> 00:03:01.920 supplier of AI chips have taken a 00:03:01.920 --> 00:03:04.110 supplier of AI chips have taken a beating as did Google's parent company 00:03:04.110 --> 00:03:04.120 beating as did Google's parent company 00:03:04.120 --> 00:03:06.949 beating as did Google's parent company alphabet for those not familiar with AI 00:03:06.949 --> 00:03:06.959 alphabet for those not familiar with AI 00:03:06.959 --> 00:03:09.309 alphabet for those not familiar with AI models like chat GPT are programs that 00:03:09.309 --> 00:03:09.319 models like chat GPT are programs that 00:03:09.319 --> 00:03:11.670 models like chat GPT are programs that can answer almost any question you have 00:03:11.670 --> 00:03:11.680 can answer almost any question you have 00:03:11.680 --> 00:03:13.470 can answer almost any question you have based on having read millions of pages 00:03:13.470 --> 00:03:13.480 based on having read millions of pages 00:03:13.480 --> 00:03:15.390 based on having read millions of pages on the internet George Washington 00:03:15.390 --> 00:03:15.400 on the internet George Washington 00:03:15.400 --> 00:03:17.589 on the internet George Washington University Professor Jeffrey ding who's 00:03:17.589 --> 00:03:17.599 University Professor Jeffrey ding who's 00:03:17.599 --> 00:03:19.910 University Professor Jeffrey ding who's researched China's AI programs for about 00:03:19.910 --> 00:03:19.920 researched China's AI programs for about 00:03:19.920 --> 00:03:22.149 researched China's AI programs for about eight years challenged the new Chinese 00:03:22.149 --> 00:03:22.159 eight years challenged the new Chinese 00:03:22.159 --> 00:03:24.589 eight years challenged the new Chinese program with about six probing questions 00:03:24.589 --> 00:03:24.599 program with about six probing questions 00:03:24.599 --> 00:03:26.229 program with about six probing questions similar to the way he challenged open 00:03:26.229 --> 00:03:26.239 similar to the way he challenged open 00:03:26.239 --> 00:03:29.270 similar to the way he challenged open ai's chat GPT the resulting answers he 00:03:29.270 --> 00:03:29.280 ai's chat GPT the resulting answers he 00:03:29.280 --> 00:03:30.869 ai's chat GPT the resulting answers he said first three about are about the 00:03:30.869 --> 00:03:30.879 said first three about are about the 00:03:30.879 --> 00:03:33.030 said first three about are about the same as what open AI came up with we 00:03:33.030 --> 00:03:33.040 same as what open AI came up with we 00:03:33.040 --> 00:03:35.229 same as what open AI came up with we asked ding a key question how has China 00:03:35.229 --> 00:03:35.239 asked ding a key question how has China 00:03:35.239 --> 00:03:37.990 asked ding a key question how has China been able to do this so cheaply and be 00:03:37.990 --> 00:03:38.000 been able to do this so cheaply and be 00:03:38.000 --> 00:03:40.470 been able to do this so cheaply and be almost as good it seems essentially 00:03:40.470 --> 00:03:40.480 almost as good it seems essentially 00:03:40.480 --> 00:03:42.670 almost as good it seems essentially they' found a way to get better 00:03:42.670 --> 00:03:42.680 they' found a way to get better 00:03:42.680 --> 00:03:44.990 they' found a way to get better performance without throwing more and 00:03:44.990 --> 00:03:45.000 performance without throwing more and 00:03:45.000 --> 00:03:46.990 performance without throwing more and more Computing resources at the problem 00:03:46.990 --> 00:03:47.000 more Computing resources at the problem 00:03:47.000 --> 00:03:49.670 more Computing resources at the problem training efficient and smaller models 00:03:49.670 --> 00:03:49.680 training efficient and smaller models 00:03:49.680 --> 00:03:51.589 training efficient and smaller models that that require less computing power 00:03:51.589 --> 00:03:51.599 that that require less computing power 00:03:51.599 --> 00:03:53.869 that that require less computing power to train and China's done this without 00:03:53.869 --> 00:03:53.879 to train and China's done this without 00:03:53.879 --> 00:03:55.869 to train and China's done this without access to the latest high-tech computer 00:03:55.869 --> 00:03:55.879 access to the latest high-tech computer 00:03:55.879 --> 00:03:58.190 access to the latest high-tech computer chips which the US has banned from being 00:03:58.190 --> 00:03:58.200 chips which the US has banned from being 00:03:58.200 --> 00:04:00.470 chips which the US has banned from being exported to China but one analyst is a 00:04:00.470 --> 00:04:00.480 exported to China but one analyst is a 00:04:00.480 --> 00:04:02.350 exported to China but one analyst is a bit skeptical saying we're taking deep 00:04:02.350 --> 00:04:02.360 bit skeptical saying we're taking deep 00:04:02.360 --> 00:04:04.190 bit skeptical saying we're taking deep seeks word for it that it's doing all 00:04:04.190 --> 00:04:04.200 seeks word for it that it's doing all 00:04:04.200 --> 00:04:05.869 seeks word for it that it's doing all this much cheaper than its American 00:04:05.869 --> 00:04:05.879 this much cheaper than its American 00:04:05.879 --> 00:04:08.110 this much cheaper than its American competitors we don't know that that is 00:04:08.110 --> 00:04:08.120 competitors we don't know that that is 00:04:08.120 --> 00:04:10.429 competitors we don't know that that is true we have not verified it yet we 00:04:10.429 --> 00:04:10.439 true we have not verified it yet we 00:04:10.439 --> 00:04:12.350 true we have not verified it yet we don't know enough details and Lance 00:04:12.350 --> 00:04:12.360 don't know enough details and Lance 00:04:12.360 --> 00:04:14.509 don't know enough details and Lance ulanoff says there are things American 00:04:14.509 --> 00:04:14.519 ulanoff says there are things American 00:04:14.519 --> 00:04:17.349 ulanoff says there are things American AI programs can do that deep seeks R1 00:04:17.349 --> 00:04:17.359 AI programs can do that deep seeks R1 00:04:17.359 --> 00:04:20.110 AI programs can do that deep seeks R1 can't one of the the H Hallmarks of some 00:04:20.110 --> 00:04:20.120 can't one of the the H Hallmarks of some 00:04:20.120 --> 00:04:22.749 can't one of the the H Hallmarks of some of the best AIS is that they can do more 00:04:22.749 --> 00:04:22.759 of the best AIS is that they can do more 00:04:22.759 --> 00:04:25.790 of the best AIS is that they can do more than just respond to text promp things 00:04:25.790 --> 00:04:25.800 than just respond to text promp things 00:04:25.800 --> 00:04:28.189 than just respond to text promp things like Google Gemini you can have an audio 00:04:28.189 --> 00:04:28.199 like Google Gemini you can have an audio 00:04:28.199 --> 00:04:31.070 like Google Gemini you can have an audio conversation or you can show it a 00:04:31.070 --> 00:04:31.080 conversation or you can show it a 00:04:31.080 --> 00:04:33.790 conversation or you can show it a picture or live video and ask it about 00:04:33.790 --> 00:04:33.800 picture or live video and ask it about 00:04:33.800 --> 00:04:36.230 picture or live video and ask it about it now that's something that deep seek 00:04:36.230 --> 00:04:36.240 it now that's something that deep seek 00:04:36.240 --> 00:04:39.870 it now that's something that deep seek R1 cannot yet do Professor Jeffrey ding 00:04:39.870 --> 00:04:39.880 R1 cannot yet do Professor Jeffrey ding 00:04:39.880 --> 00:04:41.950 R1 cannot yet do Professor Jeffrey ding says one key barometer to watch for in 00:04:41.950 --> 00:04:41.960 says one key barometer to watch for in 00:04:41.960 --> 00:04:44.550 says one key barometer to watch for in deep seek r1's future is what it's used 00:04:44.550 --> 00:04:44.560 deep seek r1's future is what it's used 00:04:44.560 --> 00:04:46.830 deep seek r1's future is what it's used most for whether it's used primarily as 00:04:46.830 --> 00:04:46.840 most for whether it's used primarily as 00:04:46.840 --> 00:04:48.590 most for whether it's used primarily as an office assistant and productivity 00:04:48.590 --> 00:04:48.600 an office assistant and productivity 00:04:48.600 --> 00:04:50.830 an office assistant and productivity type tool or possibly for other things 00:04:50.830 --> 00:04:50.840 type tool or possibly for other things 00:04:50.840 --> 00:04:52.990 type tool or possibly for other things like maybe a source of news in which 00:04:52.990 --> 00:04:53.000 like maybe a source of news in which 00:04:53.000 --> 00:04:54.990 like maybe a source of news in which case he says it could encounter a lot 00:04:54.990 --> 00:04:55.000 case he says it could encounter a lot 00:04:55.000 --> 00:04:56.990 case he says it could encounter a lot more resistance from entities like the 00:04:56.990 --> 00:04:57.000 more resistance from entities like the 00:04:57.000 --> 00:04:58.430 more resistance from entities like the US 00:04:58.430 --> 00:04:58.440 US 00:04:58.440 --> 00:05:01.150 US government pop quiz Hot Shot roughly how 00:05:01.150 --> 00:05:01.160 government pop quiz Hot Shot roughly how 00:05:01.160 --> 00:05:03.070 government pop quiz Hot Shot roughly how long does it take for a baby chick to 00:05:03.070 --> 00:05:03.080 long does it take for a baby chick to 00:05:03.080 --> 00:05:12.310 long does it take for a baby chick to hatch from an egg 7 Days 21 30 or 90 00:05:12.310 --> 00:05:12.320 00:05:12.320 --> 00:05:16.029 days if you said 21 way to get her done 00:05:16.029 --> 00:05:16.039 days if you said 21 way to get her done 00:05:16.039 --> 00:05:17.830 days if you said 21 way to get her done that's the incubation period for chicken 00:05:17.830 --> 00:05:17.840 that's the incubation period for chicken 00:05:17.840 --> 00:05:20.230 that's the incubation period for chicken eggs which is when a hen will sit on the 00:05:20.230 --> 00:05:20.240 eggs which is when a hen will sit on the 00:05:20.240 --> 00:05:23.309 eggs which is when a hen will sit on the eggs for most of that time for almost 2 00:05:23.309 --> 00:05:23.319 eggs for most of that time for almost 2 00:05:23.319 --> 00:05:24.710 eggs for most of that time for almost 2 years you may have noticed that egg 00:05:24.710 --> 00:05:24.720 years you may have noticed that egg 00:05:24.720 --> 00:05:27.150 years you may have noticed that egg prices have skyrocketed and it's become 00:05:27.150 --> 00:05:27.160 prices have skyrocketed and it's become 00:05:27.160 --> 00:05:29.230 prices have skyrocketed and it's become a trending topic that hasn't gone over 00:05:29.230 --> 00:05:29.240 a trending topic that hasn't gone over 00:05:29.240 --> 00:05:31.870 a trending topic that hasn't gone over easy with consumers inflation and avien 00:05:31.870 --> 00:05:31.880 easy with consumers inflation and avien 00:05:31.880 --> 00:05:33.830 easy with consumers inflation and avien flu among chicken flocks in the US are 00:05:33.830 --> 00:05:33.840 flu among chicken flocks in the US are 00:05:33.840 --> 00:05:36.830 flu among chicken flocks in the US are expected to make egg prices increase 20% 00:05:36.830 --> 00:05:36.840 expected to make egg prices increase 20% 00:05:36.840 --> 00:05:39.110 expected to make egg prices increase 20% this year making some Shoppers Scramble 00:05:39.110 --> 00:05:39.120 this year making some Shoppers Scramble 00:05:39.120 --> 00:05:40.950 this year making some Shoppers Scramble for other breakfast food options I'm 00:05:40.950 --> 00:05:40.960 for other breakfast food options I'm 00:05:40.960 --> 00:05:42.749 for other breakfast food options I'm going to let our Brian Todd further 00:05:42.749 --> 00:05:42.759 going to let our Brian Todd further 00:05:42.759 --> 00:05:44.870 going to let our Brian Todd further break down how eggs got so pricey and 00:05:44.870 --> 00:05:44.880 break down how eggs got so pricey and 00:05:44.880 --> 00:05:47.029 break down how eggs got so pricey and how people in businesses are 00:05:47.029 --> 00:05:47.039 how people in businesses are 00:05:47.039 --> 00:05:49.830 how people in businesses are reacting a Brazen Heist reflects the 00:05:49.830 --> 00:05:49.840 reacting a Brazen Heist reflects the 00:05:49.840 --> 00:05:52.270 reacting a Brazen Heist reflects the desperation over eggs in the US 00:05:52.270 --> 00:05:52.280 desperation over eggs in the US 00:05:52.280 --> 00:05:54.110 desperation over eggs in the US authorities in southern Pennsylvania 00:05:54.110 --> 00:05:54.120 authorities in southern Pennsylvania 00:05:54.120 --> 00:05:55.870 authorities in southern Pennsylvania investigating the theft of about a 00:05:55.870 --> 00:05:55.880 investigating the theft of about a 00:05:55.880 --> 00:05:58.270 investigating the theft of about a 100,000 eggs from the back of a truck at 00:05:58.270 --> 00:05:58.280 100,000 eggs from the back of a truck at 00:05:58.280 --> 00:06:00.469 100,000 eggs from the back of a truck at this distribution center the take worth 00:06:00.469 --> 00:06:00.479 this distribution center the take worth 00:06:00.479 --> 00:06:01.749 this distribution center the take worth an estimated 00:06:01.749 --> 00:06:01.759 an estimated 00:06:01.759 --> 00:06:04.309 an estimated $40,000 it comes as eggs are in much 00:06:04.309 --> 00:06:04.319 $40,000 it comes as eggs are in much 00:06:04.319 --> 00:06:07.230 $40,000 it comes as eggs are in much shorter Supply and prices are 00:06:07.230 --> 00:06:07.240 shorter Supply and prices are 00:06:07.240 --> 00:06:09.670 shorter Supply and prices are spiking at Waffle Houses across the 00:06:09.670 --> 00:06:09.680 spiking at Waffle Houses across the 00:06:09.680 --> 00:06:11.710 spiking at Waffle Houses across the country the menus now say there will be 00:06:11.710 --> 00:06:11.720 country the menus now say there will be 00:06:11.720 --> 00:06:13.830 country the menus now say there will be a temporary 50 Cent search charge for 00:06:13.830 --> 00:06:13.840 a temporary 50 Cent search charge for 00:06:13.840 --> 00:06:16.390 a temporary 50 Cent search charge for every egg you order a tough hit since 00:06:16.390 --> 00:06:16.400 every egg you order a tough hit since 00:06:16.400 --> 00:06:18.230 every egg you order a tough hit since eggs are Waffle House's most ordered 00:06:18.230 --> 00:06:18.240 eggs are Waffle House's most ordered 00:06:18.240 --> 00:06:20.350 eggs are Waffle House's most ordered item at grocery stores across the 00:06:20.350 --> 00:06:20.360 item at grocery stores across the 00:06:20.360 --> 00:06:22.589 item at grocery stores across the country Shoppers are frustrated the 00:06:22.589 --> 00:06:22.599 country Shoppers are frustrated the 00:06:22.599 --> 00:06:25.029 country Shoppers are frustrated the price of eggs spiked 2 years ago and is 00:06:25.029 --> 00:06:25.039 price of eggs spiked 2 years ago and is 00:06:25.039 --> 00:06:27.589 price of eggs spiked 2 years ago and is now spiking again jumping 50 cents per 00:06:27.589 --> 00:06:27.599 now spiking again jumping 50 cents per 00:06:27.599 --> 00:06:30.070 now spiking again jumping 50 cents per dozen just between November and December 00:06:30.070 --> 00:06:30.080 dozen just between November and December 00:06:30.080 --> 00:06:32.150 dozen just between November and December and in some places eggs aren't available 00:06:32.150 --> 00:06:32.160 and in some places eggs aren't available 00:06:32.160 --> 00:06:34.270 and in some places eggs aren't available at all I went in and by God they had 00:06:34.270 --> 00:06:34.280 at all I went in and by God they had 00:06:34.280 --> 00:06:36.670 at all I went in and by God they had everything but eggs the main culprit a 00:06:36.670 --> 00:06:36.680 everything but eggs the main culprit a 00:06:36.680 --> 00:06:39.110 everything but eggs the main culprit a devastating outbreak of Aven flu across 00:06:39.110 --> 00:06:39.120 devastating outbreak of Aven flu across 00:06:39.120 --> 00:06:41.670 devastating outbreak of Aven flu across much of the US egg laying hens having to 00:06:41.670 --> 00:06:41.680 much of the US egg laying hens having to 00:06:41.680 --> 00:06:43.990 much of the US egg laying hens having to be culled by the millions just in the 00:06:43.990 --> 00:06:44.000 be culled by the millions just in the 00:06:44.000 --> 00:06:46.350 be culled by the millions just in the last year alone we've had to euthanize 00:06:46.350 --> 00:06:46.360 last year alone we've had to euthanize 00:06:46.360 --> 00:06:48.230 last year alone we've had to euthanize more than 40 million birds and we 00:06:48.230 --> 00:06:48.240 more than 40 million birds and we 00:06:48.240 --> 00:06:50.150 more than 40 million birds and we started this year by euthanizing an 00:06:50.150 --> 00:06:50.160 started this year by euthanizing an 00:06:50.160 --> 00:06:52.469 started this year by euthanizing an additional 15 million Birds because of 00:06:52.469 --> 00:06:52.479 additional 15 million Birds because of 00:06:52.479 --> 00:06:55.430 additional 15 million Birds because of this deadly virus it's absolutely 00:06:55.430 --> 00:06:55.440 this deadly virus it's absolutely 00:06:55.440 --> 00:06:58.110 this deadly virus it's absolutely devastating also strong consumer demand 00:06:58.110 --> 00:06:58.120 devastating also strong consumer demand 00:06:58.120 --> 00:07:00.749 devastating also strong consumer demand has fueled the shortage and the price 00:07:00.749 --> 00:07:00.759 has fueled the shortage and the price 00:07:00.759 --> 00:07:03.150 has fueled the shortage and the price spikes the demand for eggs typically 00:07:03.150 --> 00:07:03.160 spikes the demand for eggs typically 00:07:03.160 --> 00:07:05.070 spikes the demand for eggs typically higher during the holiday 00:07:05.070 --> 00:07:05.080 higher during the holiday 00:07:05.080 --> 00:07:07.790 higher during the holiday season but the reality analysts say is 00:07:07.790 --> 00:07:07.800 season but the reality analysts say is 00:07:07.800 --> 00:07:09.629 season but the reality analysts say is that the egg crisis is something no 00:07:09.629 --> 00:07:09.639 that the egg crisis is something no 00:07:09.639 --> 00:07:11.469 that the egg crisis is something no president can really control it's not 00:07:11.469 --> 00:07:11.479 president can really control it's not 00:07:11.479 --> 00:07:12.749 president can really control it's not President Biden's fault it's not 00:07:12.749 --> 00:07:12.759 President Biden's fault it's not 00:07:12.759 --> 00:07:14.790 President Biden's fault it's not president Trump's fault you know it's 00:07:14.790 --> 00:07:14.800 president Trump's fault you know it's 00:07:14.800 --> 00:07:17.550 president Trump's fault you know it's what's going on in in the industry and 00:07:17.550 --> 00:07:17.560 what's going on in in the industry and 00:07:17.560 --> 00:07:19.350 what's going on in in the industry and of irus and according to the Department 00:07:19.350 --> 00:07:19.360 of irus and according to the Department 00:07:19.360 --> 00:07:21.230 of irus and according to the Department of Agriculture will have to endure 00:07:21.230 --> 00:07:21.240 of Agriculture will have to endure 00:07:21.240 --> 00:07:23.629 of Agriculture will have to endure spiking egg prices for a while longer 00:07:23.629 --> 00:07:23.639 spiking egg prices for a while longer 00:07:23.639 --> 00:07:26.029 spiking egg prices for a while longer they're expected to increase another 20% 00:07:26.029 --> 00:07:26.039 they're expected to increase another 20% 00:07:26.039 --> 00:07:27.550 they're expected to increase another 20% this year 00:07:27.550 --> 00:07:27.560 this year 00:07:27.560 --> 00:07:32.029 this year [Applause] 00:07:32.029 --> 00:07:32.039 [Applause] 00:07:32.039 --> 00:07:34.189 [Applause] today we are giving a 10 out of 10 to 00:07:34.189 --> 00:07:34.199 today we are giving a 10 out of 10 to 00:07:34.199 --> 00:07:35.990 today we are giving a 10 out of 10 to some of those Philadelphia Eagles and 00:07:35.990 --> 00:07:36.000 some of those Philadelphia Eagles and 00:07:36.000 --> 00:07:37.550 some of those Philadelphia Eagles and Kansas City Chiefs who will be going 00:07:37.550 --> 00:07:37.560 Kansas City Chiefs who will be going 00:07:37.560 --> 00:07:39.749 Kansas City Chiefs who will be going toe-to-toe in the Super Bowl on Sunday 00:07:39.749 --> 00:07:39.759 toe-to-toe in the Super Bowl on Sunday 00:07:39.759 --> 00:07:41.629 toe-to-toe in the Super Bowl on Sunday these NFL players they have almost 00:07:41.629 --> 00:07:41.639 these NFL players they have almost 00:07:41.639 --> 00:07:43.909 these NFL players they have almost superhuman athletic talent to make it to 00:07:43.909 --> 00:07:43.919 superhuman athletic talent to make it to 00:07:43.919 --> 00:07:46.309 superhuman athletic talent to make it to this Sport's biggest stage but I wanted 00:07:46.309 --> 00:07:46.319 this Sport's biggest stage but I wanted 00:07:46.319 --> 00:07:48.070 this Sport's biggest stage but I wanted to go inside the minds of these athletes 00:07:48.070 --> 00:07:48.080 to go inside the minds of these athletes 00:07:48.080 --> 00:07:49.830 to go inside the minds of these athletes and learn a bit of a lighter side of 00:07:49.830 --> 00:07:49.840 and learn a bit of a lighter side of 00:07:49.840 --> 00:07:52.390 and learn a bit of a lighter side of them check it out all right any hidden 00:07:52.390 --> 00:07:52.400 them check it out all right any hidden 00:07:52.400 --> 00:07:54.350 them check it out all right any hidden talents hidden 00:07:54.350 --> 00:07:54.360 talents hidden 00:07:54.360 --> 00:07:57.550 talents hidden talent no I ain't got no hden talent I 00:07:57.550 --> 00:07:57.560 talent no I ain't got no hden talent I 00:07:57.560 --> 00:08:00.629 talent no I ain't got no hden talent I do got a twin sister if you that 00:08:00.629 --> 00:08:00.639 do got a twin sister if you that 00:08:00.639 --> 00:08:01.990 do got a twin sister if you that uh I like to make beats man that's what 00:08:01.990 --> 00:08:02.000 uh I like to make beats man that's what 00:08:02.000 --> 00:08:04.350 uh I like to make beats man that's what I do so yeah I make beats like like not 00:08:04.350 --> 00:08:04.360 I do so yeah I make beats like like not 00:08:04.360 --> 00:08:06.350 I do so yeah I make beats like like not the root vegetable but like music no 00:08:06.350 --> 00:08:06.360 the root vegetable but like music no 00:08:06.360 --> 00:08:08.070 the root vegetable but like music no yeah yeah music 00:08:08.070 --> 00:08:08.080 yeah yeah music 00:08:08.080 --> 00:08:10.589 yeah yeah music music I'm decent at golf I wouldn't say 00:08:10.589 --> 00:08:10.599 music I'm decent at golf I wouldn't say 00:08:10.599 --> 00:08:13.830 music I'm decent at golf I wouldn't say I'm overly or legit golf like legit golf 00:08:13.830 --> 00:08:13.840 I'm overly or legit golf like legit golf 00:08:13.840 --> 00:08:16.550 I'm overly or legit golf like legit golf I'm decent I'm like a 10 handicap I 00:08:16.550 --> 00:08:16.560 I'm decent I'm like a 10 handicap I 00:08:16.560 --> 00:08:20.309 I'm decent I'm like a 10 handicap I shoot pool well I shoot well and um you 00:08:20.309 --> 00:08:20.319 shoot pool well I shoot well and um you 00:08:20.319 --> 00:08:22.950 shoot pool well I shoot well and um you can say I'm a good B I can draw 00:08:22.950 --> 00:08:22.960 can say I'm a good B I can draw 00:08:22.960 --> 00:08:25.390 can say I'm a good B I can draw relatively well I love drawing it's not 00:08:25.390 --> 00:08:25.400 relatively well I love drawing it's not 00:08:25.400 --> 00:08:27.110 relatively well I love drawing it's not like going into a gallery like it's not 00:08:27.110 --> 00:08:27.120 like going into a gallery like it's not 00:08:27.120 --> 00:08:28.510 like going into a gallery like it's not getting sold for hundreds of millions of 00:08:28.510 --> 00:08:28.520 getting sold for hundreds of millions of 00:08:28.520 --> 00:08:30.670 getting sold for hundreds of millions of dollars but like it could maybe like 00:08:30.670 --> 00:08:30.680 dollars but like it could maybe like 00:08:30.680 --> 00:08:33.029 dollars but like it could maybe like catch a couple thousand I can see oh can 00:08:33.029 --> 00:08:33.039 catch a couple thousand I can see oh can 00:08:33.039 --> 00:08:35.709 catch a couple thousand I can see oh can we get a little rip no you can't pay 00:08:35.709 --> 00:08:35.719 we get a little rip no you can't pay 00:08:35.719 --> 00:08:37.790 we get a little rip no you can't pay me all right before we head into the 00:08:37.790 --> 00:08:37.800 me all right before we head into the 00:08:37.800 --> 00:08:39.709 me all right before we head into the weekend we have a special shout out for 00:08:39.709 --> 00:08:39.719 weekend we have a special shout out for 00:08:39.719 --> 00:08:41.829 weekend we have a special shout out for all the Wolverines Miss Pollock class at 00:08:41.829 --> 00:08:41.839 all the Wolverines Miss Pollock class at 00:08:41.839 --> 00:08:44.910 all the Wolverines Miss Pollock class at Whitman Middle School in wossa Wisconsin 00:08:44.910 --> 00:08:44.920 Whitman Middle School in wossa Wisconsin 00:08:44.920 --> 00:08:46.949 Whitman Middle School in wossa Wisconsin thank you for making us part of your day 00:08:46.949 --> 00:08:46.959 thank you for making us part of your day 00:08:46.959 --> 00:08:49.750 thank you for making us part of your day and to Mr Cina and all our friends at 00:08:49.750 --> 00:08:49.760 and to Mr Cina and all our friends at 00:08:49.760 --> 00:08:52.430 and to Mr Cina and all our friends at Murray a school in New York rise up we 00:08:52.430 --> 00:08:52.440 Murray a school in New York rise up we 00:08:52.440 --> 00:08:54.829 Murray a school in New York rise up we see you Isa cue that Friday music night 00:08:54.829 --> 00:08:54.839 see you Isa cue that Friday music night 00:08:54.839 --> 00:08:56.870 see you Isa cue that Friday music night air have an awesome weekend everyone go 00:08:56.870 --> 00:08:56.880 air have an awesome weekend everyone go 00:08:56.880 --> 00:08:59.190 air have an awesome weekend everyone go on out make someone smile remember you 00:08:59.190 --> 00:08:59.200 on out make someone smile remember you 00:08:59.200 --> 00:09:00.949 on out make someone smile remember you are are more powerful than you know I'm 00:09:00.949 --> 00:09:00.959 are are more powerful than you know I'm 00:09:00.959 --> 00:09:03.110 are are more powerful than you know I'm koi wire this is CNN 10 it's been a 00:09:03.110 --> 00:09:03.120 koi wire this is CNN 10 it's been a 00:09:03.120 --> 00:09:17.160 koi wire this is CNN 10 it's been a blessing to spend this week with you 00:09:17.160 --> 00:09:17.170 00:09:17.170 --> 00:09:20.810 [Music] 00:09:20.810 --> 00:09:20.820 [Music] 00:09:20.820 --> 00:09:22.400 [Music] [Applause] 00:09:22.400 --> 00:09:22.410 [Applause] 00:09:22.410 --> 00:09:37.550 [Applause] [Music] 00:09:37.550 --> 00:09:37.560 00:09:37.560 --> 00:09:44.460 h 00:09:44.460 --> 00:09:44.470 00:09:44.470 --> 00:09:57.960 [Music] 00:09:57.960 --> 00:09:57.970 00:09:57.970 --> 00:09:59.509 [Applause] 00:09:59.509 --> 00:09:59.519 [Applause] 00:09:59.519 --> 00:10:02.000 [Applause] oh