WEBVTT Kind: captions Language: en 00:00:11.280 --> 00:00:13.070 what's up sunshine I'm Coy wire this is 00:00:13.070 --> 00:00:13.080 what's up sunshine I'm Coy wire this is 00:00:13.080 --> 00:00:15.430 what's up sunshine I'm Coy wire this is CNN 10 the best 10 minutes in news 00:00:15.430 --> 00:00:15.440 CNN 10 the best 10 minutes in news 00:00:15.440 --> 00:00:17.109 CNN 10 the best 10 minutes in news because of you hope you're feeling good 00:00:17.109 --> 00:00:17.119 because of you hope you're feeling good 00:00:17.119 --> 00:00:20.470 because of you hope you're feeling good feeling great we start 00:00:20.470 --> 00:00:20.480 feeling great we start 00:00:20.480 --> 00:00:23.349 feeling great we start today happy April fools Keep Your Head 00:00:23.349 --> 00:00:23.359 today happy April fools Keep Your Head 00:00:23.359 --> 00:00:25.310 today happy April fools Keep Your Head on a swivel because there are pranksters 00:00:25.310 --> 00:00:25.320 on a swivel because there are pranksters 00:00:25.320 --> 00:00:27.630 on a swivel because there are pranksters on the prow for the annual April 1 00:00:27.630 --> 00:00:27.640 on the prow for the annual April 1 00:00:27.640 --> 00:00:29.589 on the prow for the annual April 1 custom consisting of practical jokes and 00:00:29.589 --> 00:00:29.599 custom consisting of practical jokes and 00:00:29.599 --> 00:00:32.830 custom consisting of practical jokes and hoax is No One Is Safe all right let's 00:00:32.830 --> 00:00:32.840 hoax is No One Is Safe all right let's 00:00:32.840 --> 00:00:35.389 hoax is No One Is Safe all right let's do this for real we start today with the 00:00:35.389 --> 00:00:35.399 do this for real we start today with the 00:00:35.399 --> 00:00:37.389 do this for real we start today with the economy there are two main parts of the 00:00:37.389 --> 00:00:37.399 economy there are two main parts of the 00:00:37.399 --> 00:00:39.430 economy there are two main parts of the economy there's Wall Street or the stock 00:00:39.430 --> 00:00:39.440 economy there's Wall Street or the stock 00:00:39.440 --> 00:00:41.790 economy there's Wall Street or the stock market and there's Main Street also 00:00:41.790 --> 00:00:41.800 market and there's Main Street also 00:00:41.800 --> 00:00:44.110 market and there's Main Street also called the real economy let's start with 00:00:44.110 --> 00:00:44.120 called the real economy let's start with 00:00:44.120 --> 00:00:46.270 called the real economy let's start with Main Street when you buy groceries or 00:00:46.270 --> 00:00:46.280 Main Street when you buy groceries or 00:00:46.280 --> 00:00:48.430 Main Street when you buy groceries or pay for a new streaming service you are 00:00:48.430 --> 00:00:48.440 pay for a new streaming service you are 00:00:48.440 --> 00:00:50.549 pay for a new streaming service you are participating in the real economy these 00:00:50.549 --> 00:00:50.559 participating in the real economy these 00:00:50.559 --> 00:00:52.389 participating in the real economy these are the goods and services we buy and 00:00:52.389 --> 00:00:52.399 are the goods and services we buy and 00:00:52.399 --> 00:00:54.790 are the goods and services we buy and sell every day right now the real 00:00:54.790 --> 00:00:54.800 sell every day right now the real 00:00:54.800 --> 00:00:57.110 sell every day right now the real economy the cost of goods and services 00:00:57.110 --> 00:00:57.120 economy the cost of goods and services 00:00:57.120 --> 00:01:00.150 economy the cost of goods and services well those prices are not so great price 00:01:00.150 --> 00:01:00.160 well those prices are not so great price 00:01:00.160 --> 00:01:02.349 well those prices are not so great price have gone up because of inflation and 00:01:02.349 --> 00:01:02.359 have gone up because of inflation and 00:01:02.359 --> 00:01:05.950 have gone up because of inflation and inflation is just okay lately not great 00:01:05.950 --> 00:01:05.960 inflation is just okay lately not great 00:01:05.960 --> 00:01:08.149 inflation is just okay lately not great not terrible just okay but there are 00:01:08.149 --> 00:01:08.159 not terrible just okay but there are 00:01:08.159 --> 00:01:10.149 not terrible just okay but there are signs that inflation could get worse 00:01:10.149 --> 00:01:10.159 signs that inflation could get worse 00:01:10.159 --> 00:01:12.190 signs that inflation could get worse meaning prices could go up and that 00:01:12.190 --> 00:01:12.200 meaning prices could go up and that 00:01:12.200 --> 00:01:13.710 meaning prices could go up and that leads us to the second part of the 00:01:13.710 --> 00:01:13.720 leads us to the second part of the 00:01:13.720 --> 00:01:16.070 leads us to the second part of the economy Wall Street Wall Street is the 00:01:16.070 --> 00:01:16.080 economy Wall Street Wall Street is the 00:01:16.080 --> 00:01:18.270 economy Wall Street Wall Street is the stock market in the stock market you can 00:01:18.270 --> 00:01:18.280 stock market in the stock market you can 00:01:18.280 --> 00:01:20.830 stock market in the stock market you can buy small parts of companies of course 00:01:20.830 --> 00:01:20.840 buy small parts of companies of course 00:01:20.840 --> 00:01:23.350 buy small parts of companies of course we know them as shares or stocks most 00:01:23.350 --> 00:01:23.360 we know them as shares or stocks most 00:01:23.360 --> 00:01:25.390 we know them as shares or stocks most people buy a share of a company because 00:01:25.390 --> 00:01:25.400 people buy a share of a company because 00:01:25.400 --> 00:01:27.149 people buy a share of a company because they think the company is going to do 00:01:27.149 --> 00:01:27.159 they think the company is going to do 00:01:27.159 --> 00:01:29.630 they think the company is going to do well and the value of that share will go 00:01:29.630 --> 00:01:29.640 well and the value of that share will go 00:01:29.640 --> 00:01:31.789 well and the value of that share will go up the stock market is a little more 00:01:31.789 --> 00:01:31.799 up the stock market is a little more 00:01:31.799 --> 00:01:33.429 up the stock market is a little more complicated than that of course but 00:01:33.429 --> 00:01:33.439 complicated than that of course but 00:01:33.439 --> 00:01:35.670 complicated than that of course but that's the basic idea Wall Street and 00:01:35.670 --> 00:01:35.680 that's the basic idea Wall Street and 00:01:35.680 --> 00:01:37.870 that's the basic idea Wall Street and Main Street are often connected if 00:01:37.870 --> 00:01:37.880 Main Street are often connected if 00:01:37.880 --> 00:01:39.749 Main Street are often connected if things aren't going well on Main Street 00:01:39.749 --> 00:01:39.759 things aren't going well on Main Street 00:01:39.759 --> 00:01:41.789 things aren't going well on Main Street in the real economy then investors on 00:01:41.789 --> 00:01:41.799 in the real economy then investors on 00:01:41.799 --> 00:01:43.990 in the real economy then investors on Wall Street sell their shares because 00:01:43.990 --> 00:01:44.000 Wall Street sell their shares because 00:01:44.000 --> 00:01:46.109 Wall Street sell their shares because they think maybe the value of the stocks 00:01:46.109 --> 00:01:46.119 they think maybe the value of the stocks 00:01:46.119 --> 00:01:48.550 they think maybe the value of the stocks they own are likely to go down because 00:01:48.550 --> 00:01:48.560 they own are likely to go down because 00:01:48.560 --> 00:01:50.950 they own are likely to go down because companies might struggle our Matt Egan 00:01:50.950 --> 00:01:50.960 companies might struggle our Matt Egan 00:01:50.960 --> 00:01:52.870 companies might struggle our Matt Egan breaks down some of the latest economic 00:01:52.870 --> 00:01:52.880 breaks down some of the latest economic 00:01:52.880 --> 00:01:54.910 breaks down some of the latest economic numbers that show us where Wall Street 00:01:54.910 --> 00:01:54.920 numbers that show us where Wall Street 00:01:54.920 --> 00:01:56.990 numbers that show us where Wall Street and Main Street may be 00:01:56.990 --> 00:01:57.000 and Main Street may be 00:01:57.000 --> 00:02:00.069 and Main Street may be headed the latest slew of economic IND 00:02:00.069 --> 00:02:00.079 headed the latest slew of economic IND 00:02:00.079 --> 00:02:02.550 headed the latest slew of economic IND ators did not paint a very inspiring 00:02:02.550 --> 00:02:02.560 ators did not paint a very inspiring 00:02:02.560 --> 00:02:04.670 ators did not paint a very inspiring picture about how the US economy is 00:02:04.670 --> 00:02:04.680 picture about how the US economy is 00:02:04.680 --> 00:02:07.429 picture about how the US economy is holding up amid all of this turbulence 00:02:07.429 --> 00:02:07.439 holding up amid all of this turbulence 00:02:07.439 --> 00:02:10.270 holding up amid all of this turbulence out of Washington and these new economic 00:02:10.270 --> 00:02:10.280 out of Washington and these new economic 00:02:10.280 --> 00:02:12.550 out of Washington and these new economic numbers did not sit well with investors 00:02:12.550 --> 00:02:12.560 numbers did not sit well with investors 00:02:12.560 --> 00:02:14.350 numbers did not sit well with investors on Wall Street with us stocks 00:02:14.350 --> 00:02:14.360 on Wall Street with us stocks 00:02:14.360 --> 00:02:18.150 on Wall Street with us stocks experiencing another bout of turbulence 00:02:18.150 --> 00:02:18.160 experiencing another bout of turbulence 00:02:18.160 --> 00:02:20.790 experiencing another bout of turbulence ahead of next week's significant 00:02:20.790 --> 00:02:20.800 ahead of next week's significant 00:02:20.800 --> 00:02:22.710 ahead of next week's significant announcements on tariffs so let me run 00:02:22.710 --> 00:02:22.720 announcements on tariffs so let me run 00:02:22.720 --> 00:02:24.509 announcements on tariffs so let me run you through some of the key findings 00:02:24.509 --> 00:02:24.519 you through some of the key findings 00:02:24.519 --> 00:02:28.150 you through some of the key findings from today's economic reports first uh 00:02:28.150 --> 00:02:28.160 from today's economic reports first uh 00:02:28.160 --> 00:02:31.110 from today's economic reports first uh the fed's goto inflation metric found 00:02:31.110 --> 00:02:31.120 the fed's goto inflation metric found 00:02:31.120 --> 00:02:33.990 the fed's goto inflation metric found that Americans are saving more and 00:02:33.990 --> 00:02:34.000 that Americans are saving more and 00:02:34.000 --> 00:02:37.790 that Americans are saving more and they're spending next ahead of tariffs 00:02:37.790 --> 00:02:37.800 they're spending next ahead of tariffs 00:02:37.800 --> 00:02:40.390 they're spending next ahead of tariffs and this report also suggested that 00:02:40.390 --> 00:02:40.400 and this report also suggested that 00:02:40.400 --> 00:02:42.990 and this report also suggested that inflation's kind of stuck in this no 00:02:42.990 --> 00:02:43.000 inflation's kind of stuck in this no 00:02:43.000 --> 00:02:45.149 inflation's kind of stuck in this no man's land right not as bad as a few 00:02:45.149 --> 00:02:45.159 man's land right not as bad as a few 00:02:45.159 --> 00:02:49.070 man's land right not as bad as a few years ago but also not great um core 00:02:49.070 --> 00:02:49.080 years ago but also not great um core 00:02:49.080 --> 00:02:51.550 years ago but also not great um core inflation which ex which excludes food 00:02:51.550 --> 00:02:51.560 inflation which ex which excludes food 00:02:51.560 --> 00:02:54.630 inflation which ex which excludes food and energy it heated up in February 00:02:54.630 --> 00:02:54.640 and energy it heated up in February 00:02:54.640 --> 00:02:56.790 and energy it heated up in February that's significant because economists 00:02:56.790 --> 00:02:56.800 that's significant because economists 00:02:56.800 --> 00:02:58.830 that's significant because economists say that core inflation is a better 00:02:58.830 --> 00:02:58.840 say that core inflation is a better 00:02:58.840 --> 00:03:01.750 say that core inflation is a better indicator of underlying pricing 00:03:01.750 --> 00:03:01.760 indicator of underlying pricing 00:03:01.760 --> 00:03:03.869 indicator of underlying pricing pressures and keep in mind these are 00:03:03.869 --> 00:03:03.879 pressures and keep in mind these are 00:03:03.879 --> 00:03:06.390 pressures and keep in mind these are numbers for February so they don't fully 00:03:06.390 --> 00:03:06.400 numbers for February so they don't fully 00:03:06.400 --> 00:03:08.470 numbers for February so they don't fully capture the elephant in the room the 00:03:08.470 --> 00:03:08.480 capture the elephant in the room the 00:03:08.480 --> 00:03:12.350 capture the elephant in the room the trade board right this is price changes 00:03:12.350 --> 00:03:12.360 trade board right this is price changes 00:03:12.360 --> 00:03:15.070 trade board right this is price changes before much of the tariffs including the 00:03:15.070 --> 00:03:15.080 before much of the tariffs including the 00:03:15.080 --> 00:03:17.270 before much of the tariffs including the tariffs on steel in aluminum the tariffs 00:03:17.270 --> 00:03:17.280 tariffs on steel in aluminum the tariffs 00:03:17.280 --> 00:03:19.190 tariffs on steel in aluminum the tariffs on Canada and Mexico and some of the 00:03:19.190 --> 00:03:19.200 on Canada and Mexico and some of the 00:03:19.200 --> 00:03:21.550 on Canada and Mexico and some of the tariffs on China for all of that even 00:03:21.550 --> 00:03:21.560 tariffs on China for all of that even 00:03:21.560 --> 00:03:23.910 tariffs on China for all of that even kicked in and we know the cost of living 00:03:23.910 --> 00:03:23.920 kicked in and we know the cost of living 00:03:23.920 --> 00:03:27.149 kicked in and we know the cost of living of course is a major concern right now 00:03:27.149 --> 00:03:27.159 of course is a major concern right now 00:03:27.159 --> 00:03:29.949 of course is a major concern right now and so there was another disappointing 00:03:29.949 --> 00:03:29.959 and so there was another disappointing 00:03:29.959 --> 00:03:31.670 and so there was another disappointing confidence report out this is from the 00:03:31.670 --> 00:03:31.680 confidence report out this is from the 00:03:31.680 --> 00:03:33.110 confidence report out this is from the University of Michigan and not only did 00:03:33.110 --> 00:03:33.120 University of Michigan and not only did 00:03:33.120 --> 00:03:35.789 University of Michigan and not only did it find that consumer sentiment fell 00:03:35.789 --> 00:03:35.799 it find that consumer sentiment fell 00:03:35.799 --> 00:03:38.229 it find that consumer sentiment fell sharply in March but some of the 00:03:38.229 --> 00:03:38.239 sharply in March but some of the 00:03:38.239 --> 00:03:40.270 sharply in March but some of the underlying indicators here were also 00:03:40.270 --> 00:03:40.280 underlying indicators here were also 00:03:40.280 --> 00:03:42.710 underlying indicators here were also concerning uh consumers outlook for the 00:03:42.710 --> 00:03:42.720 concerning uh consumers outlook for the 00:03:42.720 --> 00:03:46.110 concerning uh consumers outlook for the future fell significantly 23s of 00:03:46.110 --> 00:03:46.120 future fell significantly 23s of 00:03:46.120 --> 00:03:48.429 future fell significantly 23s of consumers are now expecting unemployment 00:03:48.429 --> 00:03:48.439 consumers are now expecting unemployment 00:03:48.439 --> 00:03:50.789 consumers are now expecting unemployment to increase that's the most since the 00:03:50.789 --> 00:03:50.799 to increase that's the most since the 00:03:50.799 --> 00:03:53.550 to increase that's the most since the Great Recession and consumer 00:03:53.550 --> 00:03:53.560 Great Recession and consumer 00:03:53.560 --> 00:03:56.990 Great Recession and consumer expectations around inflation price 00:03:56.990 --> 00:03:57.000 expectations around inflation price 00:03:57.000 --> 00:04:00.309 expectations around inflation price increases they heated up to the highest 00:04:00.309 --> 00:04:00.319 increases they heated up to the highest 00:04:00.319 --> 00:04:02.069 increases they heated up to the highest level since 00:04:02.069 --> 00:04:02.079 level since 00:04:02.079 --> 00:04:05.229 level since 1993 Market veteran art Hogan he told me 00:04:05.229 --> 00:04:05.239 1993 Market veteran art Hogan he told me 00:04:05.239 --> 00:04:07.470 1993 Market veteran art Hogan he told me he's not shocked to see consumers 00:04:07.470 --> 00:04:07.480 he's not shocked to see consumers 00:04:07.480 --> 00:04:10.910 he's not shocked to see consumers expecting higher inflation this is the 00:04:10.910 --> 00:04:10.920 expecting higher inflation this is the 00:04:10.920 --> 00:04:13.190 expecting higher inflation this is the worst trade War since William McKinley 00:04:13.190 --> 00:04:13.200 worst trade War since William McKinley 00:04:13.200 --> 00:04:15.069 worst trade War since William McKinley was in the White House this finding from 00:04:15.069 --> 00:04:15.079 was in the White House this finding from 00:04:15.079 --> 00:04:17.550 was in the White House this finding from University of Michigan was striking they 00:04:17.550 --> 00:04:17.560 University of Michigan was striking they 00:04:17.560 --> 00:04:19.469 University of Michigan was striking they said that this month's decline reflects 00:04:19.469 --> 00:04:19.479 said that this month's decline reflects 00:04:19.479 --> 00:04:21.990 said that this month's decline reflects a clear consensus across all 00:04:21.990 --> 00:04:22.000 a clear consensus across all 00:04:22.000 --> 00:04:24.749 a clear consensus across all demographics and political affiliations 00:04:24.749 --> 00:04:24.759 demographics and political affiliations 00:04:24.759 --> 00:04:26.390 demographics and political affiliations Republicans joined Independents and 00:04:26.390 --> 00:04:26.400 Republicans joined Independents and 00:04:26.400 --> 00:04:28.469 Republicans joined Independents and Democrats in expressing worsening 00:04:28.469 --> 00:04:28.479 Democrats in expressing worsening 00:04:28.479 --> 00:04:30.870 Democrats in expressing worsening expectations since February for their 00:04:30.870 --> 00:04:30.880 expectations since February for their 00:04:30.880 --> 00:04:33.830 expectations since February for their personal finances business conditions 00:04:33.830 --> 00:04:33.840 personal finances business conditions 00:04:33.840 --> 00:04:36.950 personal finances business conditions unemployment and inflation I think the 00:04:36.950 --> 00:04:36.960 unemployment and inflation I think the 00:04:36.960 --> 00:04:40.629 unemployment and inflation I think the growing concern on Wall Street is that 00:04:40.629 --> 00:04:40.639 growing concern on Wall Street is that 00:04:40.639 --> 00:04:43.670 growing concern on Wall Street is that weak consumer confidence will eventually 00:04:43.670 --> 00:04:43.680 weak consumer confidence will eventually 00:04:43.680 --> 00:04:46.830 weak consumer confidence will eventually cause people to kind of hunker down and 00:04:46.830 --> 00:04:46.840 cause people to kind of hunker down and 00:04:46.840 --> 00:04:49.590 cause people to kind of hunker down and spend less money and of course that's 00:04:49.590 --> 00:04:49.600 spend less money and of course that's 00:04:49.600 --> 00:04:51.430 spend less money and of course that's where the real trouble would come for an 00:04:51.430 --> 00:04:51.440 where the real trouble would come for an 00:04:51.440 --> 00:04:55.870 where the real trouble would come for an economy that is really built on consumer 00:04:55.870 --> 00:04:55.880 economy that is really built on consumer 00:04:55.880 --> 00:04:58.629 economy that is really built on consumer spending Pop Quiz hot shot when was the 00:04:58.629 --> 00:04:58.639 spending Pop Quiz hot shot when was the 00:04:58.639 --> 00:05:09.350 spending Pop Quiz hot shot when was the first drone ever flown 1899 1917 1948 or 00:05:09.350 --> 00:05:09.360 00:05:09.360 --> 00:05:13.230 2001 if you said 1917 you're so money 00:05:13.230 --> 00:05:13.240 2001 if you said 1917 you're so money 00:05:13.240 --> 00:05:15.070 2001 if you said 1917 you're so money that's when the first vehicle without a 00:05:15.070 --> 00:05:15.080 that's when the first vehicle without a 00:05:15.080 --> 00:05:17.110 that's when the first vehicle without a pilot flew a small radio operated 00:05:17.110 --> 00:05:17.120 pilot flew a small radio operated 00:05:17.120 --> 00:05:19.070 pilot flew a small radio operated aircraft called the aerial Target was 00:05:19.070 --> 00:05:19.080 aircraft called the aerial Target was 00:05:19.080 --> 00:05:20.909 aircraft called the aerial Target was tested by the British during the first 00:05:20.909 --> 00:05:20.919 tested by the British during the first 00:05:20.919 --> 00:05:23.990 tested by the British during the first world war in Germany a company has 00:05:23.990 --> 00:05:24.000 world war in Germany a company has 00:05:24.000 --> 00:05:26.110 world war in Germany a company has mashed up two kinds of Technologies 00:05:26.110 --> 00:05:26.120 mashed up two kinds of Technologies 00:05:26.120 --> 00:05:28.230 mashed up two kinds of Technologies drones and artificial intelligence to 00:05:28.230 --> 00:05:28.240 drones and artificial intelligence to 00:05:28.240 --> 00:05:31.110 drones and artificial intelligence to try to solve a very in issue for many 00:05:31.110 --> 00:05:31.120 try to solve a very in issue for many 00:05:31.120 --> 00:05:32.909 try to solve a very in issue for many communities around the world our Nick 00:05:32.909 --> 00:05:32.919 communities around the world our Nick 00:05:32.919 --> 00:05:35.790 communities around the world our Nick Valencia has more over the past two 00:05:35.790 --> 00:05:35.800 Valencia has more over the past two 00:05:35.800 --> 00:05:38.070 Valencia has more over the past two decades extreme wildfires have become 00:05:38.070 --> 00:05:38.080 decades extreme wildfires have become 00:05:38.080 --> 00:05:40.590 decades extreme wildfires have become more frequent more intense and larger 00:05:40.590 --> 00:05:40.600 more frequent more intense and larger 00:05:40.600 --> 00:05:42.950 more frequent more intense and larger according to NASA now a wildfire 00:05:42.950 --> 00:05:42.960 according to NASA now a wildfire 00:05:42.960 --> 00:05:44.990 according to NASA now a wildfire detection company in Germany is 00:05:44.990 --> 00:05:45.000 detection company in Germany is 00:05:45.000 --> 00:05:47.309 detection company in Germany is developing a drone that uses artificial 00:05:47.309 --> 00:05:47.319 developing a drone that uses artificial 00:05:47.319 --> 00:05:49.230 developing a drone that uses artificial intelligence to help firefighters 00:05:49.230 --> 00:05:49.240 intelligence to help firefighters 00:05:49.240 --> 00:05:52.550 intelligence to help firefighters suppress wildfires in their early 00:05:52.550 --> 00:05:52.560 suppress wildfires in their early 00:05:52.560 --> 00:05:55.430 suppress wildfires in their early stages this week dryad successfully 00:05:55.430 --> 00:05:55.440 stages this week dryad successfully 00:05:55.440 --> 00:05:57.830 stages this week dryad successfully demonstrated its first fully functional 00:05:57.830 --> 00:05:57.840 demonstrated its first fully functional 00:05:57.840 --> 00:06:00.629 demonstrated its first fully functional prototype called Silver guard the Drone 00:06:00.629 --> 00:06:00.639 prototype called Silver guard the Drone 00:06:00.639 --> 00:06:02.430 prototype called Silver guard the Drone system detected a controlled Fire's 00:06:02.430 --> 00:06:02.440 system detected a controlled Fire's 00:06:02.440 --> 00:06:06.390 system detected a controlled Fire's location and size using AI it provides 00:06:06.390 --> 00:06:06.400 location and size using AI it provides 00:06:06.400 --> 00:06:08.830 location and size using AI it provides Ultra early detection of wildfires 00:06:08.830 --> 00:06:08.840 Ultra early detection of wildfires 00:06:08.840 --> 00:06:11.510 Ultra early detection of wildfires within minutes from ignition using AI 00:06:11.510 --> 00:06:11.520 within minutes from ignition using AI 00:06:11.520 --> 00:06:14.469 within minutes from ignition using AI driven uh sensors that are electronic 00:06:14.469 --> 00:06:14.479 driven uh sensors that are electronic 00:06:14.479 --> 00:06:17.110 driven uh sensors that are electronic noses and they can detect fires much 00:06:17.110 --> 00:06:17.120 noses and they can detect fires much 00:06:17.120 --> 00:06:19.430 noses and they can detect fires much faster than cameras or 00:06:19.430 --> 00:06:19.440 faster than cameras or 00:06:19.440 --> 00:06:21.589 faster than cameras or satellites the idea is to allow 00:06:21.589 --> 00:06:21.599 satellites the idea is to allow 00:06:21.599 --> 00:06:23.909 satellites the idea is to allow firefighters to respond before flame 00:06:23.909 --> 00:06:23.919 firefighters to respond before flame 00:06:23.919 --> 00:06:26.390 firefighters to respond before flame spread the Drone can capture infrared 00:06:26.390 --> 00:06:26.400 spread the Drone can capture infrared 00:06:26.400 --> 00:06:28.710 spread the Drone can capture infrared imagery and provide an overhead view for 00:06:28.710 --> 00:06:28.720 imagery and provide an overhead view for 00:06:28.720 --> 00:06:31.270 imagery and provide an overhead view for firefighters the importance uh of silver 00:06:31.270 --> 00:06:31.280 firefighters the importance uh of silver 00:06:31.280 --> 00:06:33.950 firefighters the importance uh of silver guard is that it is the first autonomous 00:06:33.950 --> 00:06:33.960 guard is that it is the first autonomous 00:06:33.960 --> 00:06:36.670 guard is that it is the first autonomous uh endtoend system that detects fires 00:06:36.670 --> 00:06:36.680 uh endtoend system that detects fires 00:06:36.680 --> 00:06:38.870 uh endtoend system that detects fires using artificial intelligence and then 00:06:38.870 --> 00:06:38.880 using artificial intelligence and then 00:06:38.880 --> 00:06:42.790 using artificial intelligence and then uses autonomous drones uh to fly to the 00:06:42.790 --> 00:06:42.800 uses autonomous drones uh to fly to the 00:06:42.800 --> 00:06:45.670 uses autonomous drones uh to fly to the location of a fire without a pilot being 00:06:45.670 --> 00:06:45.680 location of a fire without a pilot being 00:06:45.680 --> 00:06:47.990 location of a fire without a pilot being involved and delivering precise 00:06:47.990 --> 00:06:48.000 involved and delivering precise 00:06:48.000 --> 00:06:50.070 involved and delivering precise information about the size and threat of 00:06:50.070 --> 00:06:50.080 information about the size and threat of 00:06:50.080 --> 00:06:53.150 information about the size and threat of a fire dryads new technology if used 00:06:53.150 --> 00:06:53.160 a fire dryads new technology if used 00:06:53.160 --> 00:06:55.629 a fire dryads new technology if used widely could also have an impact on 00:06:55.629 --> 00:06:55.639 widely could also have an impact on 00:06:55.639 --> 00:06:58.950 widely could also have an impact on carbon emissions from 2001 to 2023 00:06:58.950 --> 00:06:58.960 carbon emissions from 2001 to 2023 00:06:58.960 --> 00:07:01.189 carbon emissions from 2001 to 2023 wildfire has caused a loss of more than 00:07:01.189 --> 00:07:01.199 wildfire has caused a loss of more than 00:07:01.199 --> 00:07:04.189 wildfire has caused a loss of more than 138 million hectares of tree cover 00:07:04.189 --> 00:07:04.199 138 million hectares of tree cover 00:07:04.199 --> 00:07:06.629 138 million hectares of tree cover worldwide according to Global Forest 00:07:06.629 --> 00:07:06.639 worldwide according to Global Forest 00:07:06.639 --> 00:07:08.830 worldwide according to Global Forest watch that's larger than the country of 00:07:08.830 --> 00:07:08.840 watch that's larger than the country of 00:07:08.840 --> 00:07:11.110 watch that's larger than the country of Peru researchers found that carbon 00:07:11.110 --> 00:07:11.120 Peru researchers found that carbon 00:07:11.120 --> 00:07:13.629 Peru researchers found that carbon emissions from forest fires increased by 00:07:13.629 --> 00:07:13.639 emissions from forest fires increased by 00:07:13.639 --> 00:07:17.110 emissions from forest fires increased by 60% globally during that time dryad 00:07:17.110 --> 00:07:17.120 60% globally during that time dryad 00:07:17.120 --> 00:07:19.430 60% globally during that time dryad hopes its efforts will help prevent 1.1 00:07:19.430 --> 00:07:19.440 hopes its efforts will help prevent 1.1 00:07:19.440 --> 00:07:22.189 hopes its efforts will help prevent 1.1 billion metric tons of CO2 emissions by 00:07:22.189 --> 00:07:22.199 billion metric tons of CO2 emissions by 00:07:22.199 --> 00:07:25.029 billion metric tons of CO2 emissions by 2030 the European Union is co-funding 00:07:25.029 --> 00:07:25.039 2030 the European Union is co-funding 00:07:25.039 --> 00:07:27.350 2030 the European Union is co-funding the silver guard project with 3.8 00:07:27.350 --> 00:07:27.360 the silver guard project with 3.8 00:07:27.360 --> 00:07:30.869 the silver guard project with 3.8 million EUR or 4. .1 00:07:30.869 --> 00:07:30.879 million EUR or 4. .1 00:07:30.879 --> 00:07:33.230 million EUR or 4. .1 million the Project's Next Step will be 00:07:33.230 --> 00:07:33.240 million the Project's Next Step will be 00:07:33.240 --> 00:07:35.790 million the Project's Next Step will be to add fire suppression capabilities and 00:07:35.790 --> 00:07:35.800 to add fire suppression capabilities and 00:07:35.800 --> 00:07:38.550 to add fire suppression capabilities and eventually real world deployment what we 00:07:38.550 --> 00:07:38.560 eventually real world deployment what we 00:07:38.560 --> 00:07:40.909 eventually real world deployment what we actually need to achieve is we need to 00:07:40.909 --> 00:07:40.919 actually need to achieve is we need to 00:07:40.919 --> 00:07:43.629 actually need to achieve is we need to detect and extinguish fires within 10 00:07:43.629 --> 00:07:43.639 detect and extinguish fires within 10 00:07:43.639 --> 00:07:45.670 detect and extinguish fires within 10 minutes from ignition that's our mission 00:07:45.670 --> 00:07:45.680 minutes from ignition that's our mission 00:07:45.680 --> 00:07:47.749 minutes from ignition that's our mission that's our vision and silver guard 00:07:47.749 --> 00:07:47.759 that's our vision and silver guard 00:07:47.759 --> 00:07:49.629 that's our vision and silver guard demonstrated here today is a big 00:07:49.629 --> 00:07:49.639 demonstrated here today is a big 00:07:49.639 --> 00:07:56.390 demonstrated here today is a big milestone towards that 00:07:56.390 --> 00:07:56.400 00:07:56.400 --> 00:07:58.670 Vision today's store getting a 10 out of 00:07:58.670 --> 00:07:58.680 Vision today's store getting a 10 out of 00:07:58.680 --> 00:08:00.629 Vision today's store getting a 10 out of 10 buy me some peanuts and Cracker Jacks 00:08:00.629 --> 00:08:00.639 10 buy me some peanuts and Cracker Jacks 00:08:00.639 --> 00:08:02.909 10 buy me some peanuts and Cracker Jacks baseball is back and MLB teams are 00:08:02.909 --> 00:08:02.919 baseball is back and MLB teams are 00:08:02.919 --> 00:08:05.149 baseball is back and MLB teams are busting out all sorts of egregious gut 00:08:05.149 --> 00:08:05.159 busting out all sorts of egregious gut 00:08:05.159 --> 00:08:07.270 busting out all sorts of egregious gut busting grub in an attempt to Dazzle 00:08:07.270 --> 00:08:07.280 busting grub in an attempt to Dazzle 00:08:07.280 --> 00:08:10.110 busting grub in an attempt to Dazzle fans the Yankees have this tiam misu 00:08:10.110 --> 00:08:10.120 fans the Yankees have this tiam misu 00:08:10.120 --> 00:08:12.629 fans the Yankees have this tiam misu helmet espresso mascarpone cream lady 00:08:12.629 --> 00:08:12.639 helmet espresso mascarpone cream lady 00:08:12.639 --> 00:08:15.629 helmet espresso mascarpone cream lady finger cookies cocoa powder and check 00:08:15.629 --> 00:08:15.639 finger cookies cocoa powder and check 00:08:15.639 --> 00:08:17.710 finger cookies cocoa powder and check out this Behemoth the Oreos rolling out 00:08:17.710 --> 00:08:17.720 out this Behemoth the Oreos rolling out 00:08:17.720 --> 00:08:20.589 out this Behemoth the Oreos rolling out a double burger with queso fundido 00:08:20.589 --> 00:08:20.599 a double burger with queso fundido 00:08:20.599 --> 00:08:23.830 a double burger with queso fundido pickle P Deo fried onions on a pretzel 00:08:23.830 --> 00:08:23.840 pickle P Deo fried onions on a pretzel 00:08:23.840 --> 00:08:26.830 pickle P Deo fried onions on a pretzel bun what say you how do you attack that 00:08:26.830 --> 00:08:26.840 bun what say you how do you attack that 00:08:26.840 --> 00:08:28.830 bun what say you how do you attack that now the white socks they're breaking out 00:08:28.830 --> 00:08:28.840 now the white socks they're breaking out 00:08:28.840 --> 00:08:31.270 now the white socks they're breaking out the Unicorn a batter dipped corn dog 00:08:31.270 --> 00:08:31.280 the Unicorn a batter dipped corn dog 00:08:31.280 --> 00:08:33.149 the Unicorn a batter dipped corn dog marshmallow based drizzled with sweet 00:08:33.149 --> 00:08:33.159 marshmallow based drizzled with sweet 00:08:33.159 --> 00:08:36.029 marshmallow based drizzled with sweet condensed milk and Fruity Pebbles on top 00:08:36.029 --> 00:08:36.039 condensed milk and Fruity Pebbles on top 00:08:36.039 --> 00:08:38.230 condensed milk and Fruity Pebbles on top do you love it or do you Lo it basically 00:08:38.230 --> 00:08:38.240 do you love it or do you Lo it basically 00:08:38.240 --> 00:08:40.389 do you love it or do you Lo it basically cereal on a corn dog not sure how I feel 00:08:40.389 --> 00:08:40.399 cereal on a corn dog not sure how I feel 00:08:40.399 --> 00:08:42.670 cereal on a corn dog not sure how I feel about that now white socks fans they're 00:08:42.670 --> 00:08:42.680 about that now white socks fans they're 00:08:42.680 --> 00:08:44.470 about that now white socks fans they're hoping to turn their fortunes around 00:08:44.470 --> 00:08:44.480 hoping to turn their fortunes around 00:08:44.480 --> 00:08:46.110 hoping to turn their fortunes around because last season they posted the 00:08:46.110 --> 00:08:46.120 because last season they posted the 00:08:46.120 --> 00:08:49.310 because last season they posted the worst season in MLB history and some say 00:08:49.310 --> 00:08:49.320 worst season in MLB history and some say 00:08:49.320 --> 00:08:51.829 worst season in MLB history and some say they found a solution a Little Help from 00:08:51.829 --> 00:08:51.839 they found a solution a Little Help from 00:08:51.839 --> 00:08:53.030 they found a solution a Little Help from the great 00:08:53.030 --> 00:08:53.040 the great 00:08:53.040 --> 00:08:56.269 the great beyond crusty old baseball suen Chicago 00:08:56.269 --> 00:08:56.279 beyond crusty old baseball suen Chicago 00:08:56.279 --> 00:08:58.269 beyond crusty old baseball suen Chicago White Socks fans think may be 00:08:58.269 --> 00:08:58.279 White Socks fans think may be 00:08:58.279 --> 00:08:59.870 White Socks fans think may be responsible for a historic historically 00:08:59.870 --> 00:08:59.880 responsible for a historic historically 00:08:59.880 --> 00:09:02.350 responsible for a historic historically Bad season the team claimed a heinous 00:09:02.350 --> 00:09:02.360 Bad season the team claimed a heinous 00:09:02.360 --> 00:09:05.110 Bad season the team claimed a heinous 121 losses last year earning them the 00:09:05.110 --> 00:09:05.120 121 losses last year earning them the 00:09:05.120 --> 00:09:07.389 121 losses last year earning them the nickname the stinky socks a phrase 00:09:07.389 --> 00:09:07.399 nickname the stinky socks a phrase 00:09:07.399 --> 00:09:10.590 nickname the stinky socks a phrase coined by well me right now but socks 00:09:10.590 --> 00:09:10.600 coined by well me right now but socks 00:09:10.600 --> 00:09:12.790 coined by well me right now but socks die hards say the losses started around 00:09:12.790 --> 00:09:12.800 die hards say the losses started around 00:09:12.800 --> 00:09:14.550 die hards say the losses started around the time this World Series Baseball from 00:09:14.550 --> 00:09:14.560 the time this World Series Baseball from 00:09:14.560 --> 00:09:17.470 the time this World Series Baseball from 1919 found hidden in Chicago's Tribune 00:09:17.470 --> 00:09:17.480 1919 found hidden in Chicago's Tribune 00:09:17.480 --> 00:09:20.550 1919 found hidden in Chicago's Tribune building was moved to a sports museum an 00:09:20.550 --> 00:09:20.560 building was moved to a sports museum an 00:09:20.560 --> 00:09:22.870 building was moved to a sports museum an outcry from fans both superstitious and 00:09:22.870 --> 00:09:22.880 outcry from fans both superstitious and 00:09:22.880 --> 00:09:25.150 outcry from fans both superstitious and or even a little stitious resulted in 00:09:25.150 --> 00:09:25.160 or even a little stitious resulted in 00:09:25.160 --> 00:09:27.550 or even a little stitious resulted in the ball being moved back to the Tribune 00:09:27.550 --> 00:09:27.560 the ball being moved back to the Tribune 00:09:27.560 --> 00:09:29.630 the ball being moved back to the Tribune building in an attempt to break the 00:09:29.630 --> 00:09:29.640 building in an attempt to break the 00:09:29.640 --> 00:09:31.630 building in an attempt to break the so-called curse and clear the way for 00:09:31.630 --> 00:09:31.640 so-called curse and clear the way for 00:09:31.640 --> 00:09:34.630 so-called curse and clear the way for high scores Galore yeah that ought to do 00:09:34.630 --> 00:09:34.640 high scores Galore yeah that ought to do 00:09:34.640 --> 00:09:37.350 high scores Galore yeah that ought to do it I'm not superstitious either Jeremy 00:09:37.350 --> 00:09:37.360 it I'm not superstitious either Jeremy 00:09:37.360 --> 00:09:39.710 it I'm not superstitious either Jeremy raw just a little bit stitious thank you 00:09:39.710 --> 00:09:39.720 raw just a little bit stitious thank you 00:09:39.720 --> 00:09:41.790 raw just a little bit stitious thank you sir all right it is time for our shout 00:09:41.790 --> 00:09:41.800 sir all right it is time for our shout 00:09:41.800 --> 00:09:44.590 sir all right it is time for our shout out of the day and this one goes to 00:09:44.590 --> 00:09:44.600 out of the day and this one goes to 00:09:44.600 --> 00:09:46.990 out of the day and this one goes to Mayfair labatory School in Baton Rouge 00:09:46.990 --> 00:09:47.000 Mayfair labatory School in Baton Rouge 00:09:47.000 --> 00:09:49.150 Mayfair labatory School in Baton Rouge Louisiana Home of the Tigers I see you 00:09:49.150 --> 00:09:49.160 Louisiana Home of the Tigers I see you 00:09:49.160 --> 00:09:51.870 Louisiana Home of the Tigers I see you big cats rise up today's a beautiful day 00:09:51.870 --> 00:09:51.880 big cats rise up today's a beautiful day 00:09:51.880 --> 00:09:53.550 big cats rise up today's a beautiful day if we make it that way sending you'all 00:09:53.550 --> 00:09:53.560 if we make it that way sending you'all 00:09:53.560 --> 00:09:55.310 if we make it that way sending you'all some good vibes and Sparks of Joy let's 00:09:55.310 --> 00:09:55.320 some good vibes and Sparks of Joy let's 00:09:55.320 --> 00:09:57.230 some good vibes and Sparks of Joy let's do it again tomorrow shall we right here 00:09:57.230 --> 00:09:57.240 do it again tomorrow shall we right here 00:09:57.240 --> 00:10:00.959 do it again tomorrow shall we right here on CNN 10