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These are the user uploaded subtitles that are being translated: 1 00:00:01,303 --> 00:00:02,771 Tonight on "The Proof Is Out There." 2 00:00:02,772 --> 00:00:04,441 The government has been unable 3 00:00:04,442 --> 00:00:07,480 to explain this photo for 70 years. 4 00:00:07,481 --> 00:00:09,719 Some think that this is definitive proof 5 00:00:09,720 --> 00:00:10,921 of extraterrestrials. 6 00:00:10,922 --> 00:00:12,925 Has a woolly mammoth been cloned 7 00:00:12,926 --> 00:00:14,460 and brought back from extinction? 8 00:00:14,461 --> 00:00:17,099 If this CGI, I'll be impressed. 9 00:00:17,100 --> 00:00:19,973 Is that a legendary lake monster lurking 10 00:00:19,974 --> 00:00:21,308 in a Canadian lake? 11 00:00:21,309 --> 00:00:25,851 The general description is a giant serpentine animal 12 00:00:25,852 --> 00:00:27,353 with a horse-like head. 13 00:00:27,354 --> 00:00:32,699 And what's behind this strange ring over Beijing? 14 00:00:33,802 --> 00:00:36,071 I don't think anything can immediately explain this event. 15 00:00:39,846 --> 00:00:41,381 Around the globe are videos. 16 00:00:41,382 --> 00:00:43,085 What are those things? 17 00:00:43,086 --> 00:00:44,454 It's moving 18 00:00:44,455 --> 00:00:48,028 Photos and sounds that defy explanation. 19 00:00:53,340 --> 00:00:55,209 We don't know where they come from, 20 00:00:55,210 --> 00:00:57,013 who made them, or how they operate. 21 00:00:57,014 --> 00:00:58,282 What are they? 22 00:00:58,283 --> 00:01:00,086 Some sort of bizarre mutation. 23 00:01:00,087 --> 00:01:01,689 What's exciting is nobody really knows 24 00:01:01,690 --> 00:01:06,132 Extraordinary claims need extraordinary proof. 25 00:01:06,900 --> 00:01:08,135 I'm Tony Harris, 26 00:01:08,136 --> 00:01:10,372 and as a journalist for more than 30 years, 27 00:01:10,373 --> 00:01:13,179 I've followed the facts where they take me. 28 00:01:13,180 --> 00:01:15,551 Now I'm bringing that spirit of investigation 29 00:01:15,552 --> 00:01:18,690 to the world's strangest sounds and images. 30 00:01:19,626 --> 00:01:21,763 We'll analyze each one with top experts. 31 00:01:22,632 --> 00:01:23,867 It's a credible case. 32 00:01:23,868 --> 00:01:25,302 It's a credible video. 33 00:01:25,303 --> 00:01:28,075 And pass a verdict on what it is. 34 00:01:28,076 --> 00:01:30,179 This video was clearly faked. 35 00:01:30,180 --> 00:01:32,417 The proof starts now. 36 00:01:40,366 --> 00:01:43,606 Good evening and welcome to "The Proof Is Out There." 37 00:01:43,607 --> 00:01:47,748 Picture a typical UFO sighting. In your imagination, 38 00:01:47,749 --> 00:01:49,551 what time of day is it? 39 00:01:49,552 --> 00:01:50,588 Night, right? 40 00:01:50,589 --> 00:01:52,958 But our first case tonight features one 41 00:01:52,959 --> 00:01:57,668 of the oldest recorded instances of daytime flying saucers, 42 00:01:57,669 --> 00:02:01,809 and for the past 70 years it's been deemed unexplained. 43 00:02:01,810 --> 00:02:02,746 Take a look. 44 00:02:03,715 --> 00:02:07,621 It's a muggy summer morning on July 16th, 1952. 45 00:02:07,622 --> 00:02:11,294 Around 10:00 AM, 21-year-old Shell Alpert, 46 00:02:11,295 --> 00:02:13,600 a Coast Guard seaman and naval photographer, 47 00:02:13,601 --> 00:02:16,137 is inside his photo lab at the air station 48 00:02:16,138 --> 00:02:18,844 in Salem, Massachusetts cleaning his camera. 49 00:02:18,845 --> 00:02:20,146 Glancing out the window, 50 00:02:20,147 --> 00:02:23,151 he suddenly spots strange lights in the sky. 51 00:02:23,152 --> 00:02:25,223 Quickly he snatches his camera off the desk 52 00:02:25,224 --> 00:02:27,361 and makes UFO history. 53 00:02:28,396 --> 00:02:31,468 Four mysterious lights appear in an asymmetrical V formation 54 00:02:31,469 --> 00:02:33,138 in the sky above the airfield 55 00:02:33,139 --> 00:02:36,646 to the right of some power plant smokestacks. 56 00:02:36,647 --> 00:02:38,316 The lights don't seem to resemble 57 00:02:38,317 --> 00:02:39,885 distinct geometric shapes, 58 00:02:39,886 --> 00:02:43,392 but instead resemble rough blobs of illumination. 59 00:02:43,393 --> 00:02:46,231 Journalist MJ Banias speaks to the 70 years 60 00:02:46,232 --> 00:02:48,937 of street cred these blurry photos have earned 61 00:02:48,938 --> 00:02:50,373 in the UFO community. 62 00:02:50,374 --> 00:02:52,811 The fact that this came from a Navy photographer 63 00:02:52,812 --> 00:02:54,515 only lent to its credibility 64 00:02:54,516 --> 00:02:56,251 with the mainstream press at the time. 65 00:02:56,252 --> 00:02:58,422 And when this picture came out, was released, 66 00:02:58,423 --> 00:03:01,864 it definitely hit newspapers around the globe. 67 00:03:02,866 --> 00:03:05,069 The Alpert photos were eventually analyzed 68 00:03:05,070 --> 00:03:06,438 as part of the government's massive 69 00:03:06,439 --> 00:03:09,244 Project Blue Book UFO investigations. 70 00:03:09,245 --> 00:03:10,681 We know that there were professors 71 00:03:10,682 --> 00:03:12,450 from various universities, including Harvard, 72 00:03:12,451 --> 00:03:13,920 who looked at this picture. 73 00:03:13,921 --> 00:03:16,826 We also know that there were a lot of intelligence agencies 74 00:03:16,827 --> 00:03:19,632 and operatives trying to assess what was going on here. 75 00:03:19,633 --> 00:03:21,970 Of all the Project Blue Book reports 76 00:03:21,971 --> 00:03:24,775 between 1947 and 1969, 77 00:03:24,776 --> 00:03:27,881 thousands and thousands and thousands of photographs 78 00:03:27,882 --> 00:03:29,484 and reports were submitted. 79 00:03:29,485 --> 00:03:32,490 Only about 700 or so remain, 80 00:03:32,491 --> 00:03:34,862 according to the Air Force, unidentified. 81 00:03:34,863 --> 00:03:37,702 This photograph is one of those examples. 82 00:03:38,538 --> 00:03:40,373 It seems the Alpert photos aren't 83 00:03:40,374 --> 00:03:43,478 the first UFO sighting to come out of Massachusetts. 84 00:03:43,479 --> 00:03:45,918 In fact, the first recorded UFO sighting 85 00:03:45,919 --> 00:03:50,359 in U.S. history occurred in Massachusetts in 1639 86 00:03:50,360 --> 00:03:52,296 when Governor John Winthrop 87 00:03:52,297 --> 00:03:54,368 recorded a sighting in his journal. 88 00:03:55,270 --> 00:03:57,206 According to Winthrop's journal, 89 00:03:57,207 --> 00:04:00,413 three locals he described as sober, discreet men 90 00:04:00,414 --> 00:04:02,818 spotted a strange light in the night sky 91 00:04:02,819 --> 00:04:05,290 as they rode their boat through a marsh. 92 00:04:05,291 --> 00:04:07,293 They claimed it moved with great speed 93 00:04:07,294 --> 00:04:09,832 like an arrow to a neighboring town. 94 00:04:09,833 --> 00:04:12,605 People claim that this is a solid UFO story 95 00:04:12,606 --> 00:04:15,009 and it remains unknown to this day. 96 00:04:15,845 --> 00:04:17,413 Like the Winthrop diaries, 97 00:04:17,414 --> 00:04:20,352 the Alpert photos still spark debate. 98 00:04:20,353 --> 00:04:21,522 Some think that 99 00:04:21,523 --> 00:04:23,593 this is definitive proof of extraterrestrials 100 00:04:23,594 --> 00:04:26,600 and others think this is just a smudge on a lens. 101 00:04:28,102 --> 00:04:31,375 The time of day may not seem like such a big deal 102 00:04:31,376 --> 00:04:32,877 with the Alpert photos, 103 00:04:32,878 --> 00:04:37,453 but in fact it radically changes our entire investigation. 104 00:04:37,454 --> 00:04:39,056 You'll often see daytime photos 105 00:04:39,057 --> 00:04:43,198 where the sky is so bright it actually looks white. 106 00:04:43,199 --> 00:04:46,204 In this photo, not even close. 107 00:04:46,205 --> 00:04:47,708 I mean, look at this. 108 00:04:47,709 --> 00:04:52,316 The UFOs far exceed the daylight. 109 00:04:52,317 --> 00:04:53,686 Look at that. 110 00:04:53,687 --> 00:04:56,759 Not even the chrome car bumpers are shining as brightly. 111 00:04:56,760 --> 00:04:59,330 So what could possibly be so bright 112 00:04:59,331 --> 00:05:02,136 at an already well-lit time of day? 113 00:05:02,137 --> 00:05:05,677 We ask our experts to shine some lights on this mystery. 114 00:05:10,120 --> 00:05:11,856 First, the obvious question, 115 00:05:11,857 --> 00:05:14,360 could these images simply be everyday objects 116 00:05:14,361 --> 00:05:16,933 like planes or birds reflecting sunlight? 117 00:05:16,934 --> 00:05:19,805 Astronomer and VFX artist Marc D'Antonio looks 118 00:05:19,806 --> 00:05:22,744 to other objects in the scene for clues. 119 00:05:22,745 --> 00:05:26,018 Now, considering that the sun is very, very bright, 120 00:05:26,019 --> 00:05:26,986 you might say, well, 121 00:05:26,987 --> 00:05:29,625 could these be objects illuminated by the sun? 122 00:05:29,626 --> 00:05:32,731 Well, we don't see direct sunlight on the cars. 123 00:05:32,732 --> 00:05:34,935 It looks like it's a cloudy day. 124 00:05:34,936 --> 00:05:39,077 So these objects up here, they're exceedingly bright. 125 00:05:39,078 --> 00:05:42,483 Something lit up by the sun looking that bright, 126 00:05:42,484 --> 00:05:43,953 I think is a long shot, 127 00:05:43,954 --> 00:05:46,892 and I don't think that's what we're seeing here. 128 00:05:46,893 --> 00:05:49,532 Could this then be a deliberate camera trick 129 00:05:49,533 --> 00:05:51,301 like double exposure? 130 00:05:51,302 --> 00:05:53,038 Astrophotographer Andrew McCarthy 131 00:05:53,039 --> 00:05:54,040 thinks it's worth a look. 132 00:05:54,041 --> 00:05:57,548 Double exposure, where you take two photos 133 00:05:57,549 --> 00:05:59,084 without advancing the film, 134 00:05:59,085 --> 00:06:01,856 and you end up with both exposures on the same slide. 135 00:06:01,857 --> 00:06:06,064 If you took a photo of your parking lot and your factory, 136 00:06:06,065 --> 00:06:07,300 and then you took a photo 137 00:06:07,301 --> 00:06:09,572 of just these four random bright lights, 138 00:06:09,573 --> 00:06:10,941 but in a dark room, 139 00:06:10,942 --> 00:06:13,513 you could potentially get a result like this. 140 00:06:13,514 --> 00:06:16,318 I think that this image is low contrast 141 00:06:16,319 --> 00:06:17,888 enough to explain that. 142 00:06:17,889 --> 00:06:19,457 But McCarthy admits that, 143 00:06:19,458 --> 00:06:20,827 despite the low contrast, 144 00:06:20,828 --> 00:06:24,701 other tip offs to double exposure seem to be lacking. 145 00:06:24,702 --> 00:06:28,041 One artifact from double exposures is ghosting 146 00:06:28,042 --> 00:06:29,779 where you see unwanted elements 147 00:06:29,780 --> 00:06:33,720 of that second photograph in the developed final product. 148 00:06:33,721 --> 00:06:36,125 I don't really see too much of that here. 149 00:06:36,960 --> 00:06:39,030 D'Antonio looks to the witness statement 150 00:06:39,031 --> 00:06:40,767 for critical info. 151 00:06:40,768 --> 00:06:42,369 He was cleaning his camera, 152 00:06:42,370 --> 00:06:44,141 and then looked out the window. 153 00:06:44,976 --> 00:06:47,547 So the picture was taken through a window. 154 00:06:47,548 --> 00:06:49,685 That's a very interesting development. 155 00:06:49,686 --> 00:06:51,622 Could that window be the key 156 00:06:51,623 --> 00:06:53,860 to solving this decades old mystery? 157 00:06:53,861 --> 00:06:58,135 It's possible that when he was taking that picture 158 00:06:58,136 --> 00:06:59,538 through the window, 159 00:06:59,539 --> 00:07:02,945 he did not notice that there were possibly four lights 160 00:07:02,946 --> 00:07:06,451 behind him reflecting in the window. 161 00:07:06,452 --> 00:07:09,324 I'm thinking that we're looking at something 162 00:07:09,325 --> 00:07:12,430 that was actually reflected in the window. 163 00:07:12,431 --> 00:07:13,566 But could the Air Force's 164 00:07:13,567 --> 00:07:15,236 Project Blue Book investigators 165 00:07:15,237 --> 00:07:18,776 really have overlooked such an obvious explanation? 166 00:07:18,777 --> 00:07:21,248 And what's more, McCarthy sees problems 167 00:07:21,249 --> 00:07:23,018 with D'Antonio's theory. 168 00:07:23,019 --> 00:07:26,491 He says any reflection would mimic the perspective 169 00:07:26,492 --> 00:07:27,728 of the lights, 170 00:07:27,729 --> 00:07:30,734 which appear smaller the further away they are. 171 00:07:30,735 --> 00:07:33,471 But this photo shows the exact opposite. 172 00:07:33,472 --> 00:07:35,042 I don't really know what we're looking at here. 173 00:07:35,043 --> 00:07:37,914 It could be some lights reflected off a window 174 00:07:37,915 --> 00:07:42,190 or it could be something of supernatural origin. 175 00:07:42,191 --> 00:07:43,560 We don't really know. 176 00:07:47,434 --> 00:07:50,507 Our verdict: Genuine UFO. 177 00:07:50,508 --> 00:07:52,276 We think both our experts 178 00:07:52,277 --> 00:07:53,946 presented compelling cases, 179 00:07:53,947 --> 00:07:56,652 but the reflection theory just doesn't hold up 180 00:07:56,653 --> 00:07:58,522 and we can't think of anything else 181 00:07:58,523 --> 00:08:00,527 that would explain these UFOs. 182 00:08:00,528 --> 00:08:02,698 If you can, let us know. 183 00:08:03,700 --> 00:08:07,406 Now, let's head a bit north and way west. 184 00:08:07,407 --> 00:08:08,709 Forget Loch Ness. 185 00:08:08,710 --> 00:08:10,412 For those looking to cross paths 186 00:08:10,413 --> 00:08:12,784 with a prehistoric marine creature, 187 00:08:12,785 --> 00:08:14,721 Canada might be the place to be. 188 00:08:14,722 --> 00:08:16,893 Just take a look at our next story. 189 00:08:17,795 --> 00:08:21,735 It's June 21st, 2014 in the Haywire Bay section 190 00:08:21,736 --> 00:08:23,673 of Powell Lake, British Columbia. 191 00:08:23,674 --> 00:08:25,677 A woman sees a very strange wake 192 00:08:25,678 --> 00:08:29,250 moving at an unusually fast rate across the lake 193 00:08:29,251 --> 00:08:30,854 and records this. 194 00:08:31,690 --> 00:08:33,058 The video is jiggly 195 00:08:33,059 --> 00:08:36,231 because the witness is about 500 yards away, 196 00:08:36,232 --> 00:08:39,504 but we can clearly see several large waves cutting their way 197 00:08:39,505 --> 00:08:41,174 through the placid lake water. 198 00:08:41,175 --> 00:08:44,380 And once they've moved past, the water is still, 199 00:08:44,381 --> 00:08:46,451 leaving nothing but a trail. 200 00:08:46,452 --> 00:08:48,155 Let's get a closer look. 201 00:08:48,156 --> 00:08:48,956 It appears that something 202 00:08:48,957 --> 00:08:50,626 with two to three protrusions 203 00:08:50,627 --> 00:08:52,698 is cutting through the underside of the water, 204 00:08:52,699 --> 00:08:54,768 leaving a trail behind it. 205 00:08:54,769 --> 00:08:56,104 What could have caused this wake? 206 00:08:56,105 --> 00:08:58,943 Could there be some large creature making its home 207 00:08:58,944 --> 00:09:00,178 in Powell Lake? 208 00:09:00,179 --> 00:09:01,683 Field researcher, Ken Gerhard, 209 00:09:01,684 --> 00:09:04,688 is reminded of another Canadian lake creature 210 00:09:04,689 --> 00:09:07,193 reported not far from this area. 211 00:09:07,194 --> 00:09:08,194 Without a doubt 212 00:09:08,195 --> 00:09:10,667 the most celebrated lake monster in Canada 213 00:09:10,668 --> 00:09:13,004 is the so-called Ogopogo 214 00:09:13,005 --> 00:09:14,609 from Lake Okanagan 215 00:09:14,610 --> 00:09:16,044 in British Columbia. 216 00:09:16,045 --> 00:09:20,854 And the general description is a giant serpentine animal 217 00:09:20,855 --> 00:09:25,062 with a horse-like head, sometimes possessing horns, 218 00:09:25,063 --> 00:09:28,301 at least 40 feet long with very smooth skin 219 00:09:28,302 --> 00:09:31,776 and often displaying a series of humps undulating 220 00:09:31,777 --> 00:09:33,078 on the surface of the water 221 00:09:33,079 --> 00:09:35,950 Legends of the infamous Ogopogo date back 222 00:09:35,951 --> 00:09:38,723 to the Indigenous peoples of British Columbia 223 00:09:38,724 --> 00:09:41,596 who revered it as a spirit of the water. 224 00:09:41,597 --> 00:09:43,899 Early pioneers believed the Ogopogo 225 00:09:43,900 --> 00:09:46,906 was a bloodthirsty serpent which required travelers 226 00:09:46,907 --> 00:09:50,547 to toss animal sacrifices into the water 227 00:09:50,548 --> 00:09:52,282 to guarantee safe passage. 228 00:09:52,283 --> 00:09:54,788 But maybe what we're seeing here is something big, 229 00:09:54,789 --> 00:09:56,290 but not monstrous. 230 00:09:56,291 --> 00:09:57,527 Another possibility is that 231 00:09:57,528 --> 00:09:58,963 what we're seeing here in this video 232 00:09:58,964 --> 00:10:01,902 is actually a giant sturgeon. 233 00:10:01,903 --> 00:10:05,510 Now, sturgeon are huge fish. 234 00:10:05,511 --> 00:10:07,379 They actually are pretty much unchanged 235 00:10:07,380 --> 00:10:10,686 since the Upper Cretaceous, tens of millions of years ago. 236 00:10:10,687 --> 00:10:13,058 They can live to be over a century, 237 00:10:13,059 --> 00:10:15,697 but British Columbia, in particular, boasts some 238 00:10:15,698 --> 00:10:17,834 of the largest sturgeon in the world. 239 00:10:17,835 --> 00:10:20,005 Species like the white sturgeon are known 240 00:10:20,006 --> 00:10:21,943 to grow up to 10 to 12 feet. 241 00:10:21,944 --> 00:10:23,879 But don't try to sell that explanation 242 00:10:23,880 --> 00:10:26,853 to advocates of Canadian lake monster theory. 243 00:10:29,124 --> 00:10:33,064 Some say Canada has as many lake monsters as it does lakes. 244 00:10:33,065 --> 00:10:36,805 You just heard about the Ogopogo from Lake Okanagan, 245 00:10:36,806 --> 00:10:40,046 but there are other legendary creatures allegedly swimming 246 00:10:40,047 --> 00:10:43,753 in Lake Manitoba, Ontario's Lake Simcoe, 247 00:10:43,754 --> 00:10:47,694 Crescent Lake in Newfoundland, and in Lake Champlain. 248 00:10:47,695 --> 00:10:50,734 Let's see if our experts think there's a new creature 249 00:10:50,735 --> 00:10:53,572 from Powell Lake to add to the list. 250 00:10:57,615 --> 00:10:59,618 We first bring this curious footage 251 00:10:59,619 --> 00:11:01,756 to video forensic analyst, Michael Primeau. 252 00:11:01,757 --> 00:11:03,057 No editing was detected. 253 00:11:03,058 --> 00:11:05,496 No signs of layering or anything nefarious 254 00:11:05,497 --> 00:11:07,934 or malicious intent or manipulation. 255 00:11:07,935 --> 00:11:09,838 These files appear to be real. 256 00:11:09,839 --> 00:11:12,276 Okay, so the footage is legit. 257 00:11:12,277 --> 00:11:16,284 So what is it we are seeing or not seeing in this video? 258 00:11:16,285 --> 00:11:18,656 Marine biologist Shea Steingass thinks 259 00:11:18,657 --> 00:11:22,095 the sturgeon theory is, well, a little fishy. 260 00:11:22,096 --> 00:11:25,102 The reason I don't think this is a sturgeon is 261 00:11:25,103 --> 00:11:29,043 because sturgeons have very defined dorsal fins, 262 00:11:29,044 --> 00:11:30,981 and we would actually see this 263 00:11:30,982 --> 00:11:33,853 as well as their tail above the water. 264 00:11:33,854 --> 00:11:36,290 There is a lot of disturbance in the water here, 265 00:11:36,291 --> 00:11:38,930 but I don't see anything anatomical 266 00:11:38,931 --> 00:11:40,933 that would point towards a sturgeon. 267 00:11:40,934 --> 00:11:42,369 So could this be one 268 00:11:42,370 --> 00:11:46,712 of the legendary Canadian sea monsters similar to Ogopogo 269 00:11:46,713 --> 00:11:47,881 Steingass isn't so sure. 270 00:11:47,882 --> 00:11:50,953 One of the primary features of Ogopogo is 271 00:11:50,954 --> 00:11:53,458 that it's a sea serpent-like creature 272 00:11:53,459 --> 00:11:55,329 with a long sinuous body 273 00:11:55,330 --> 00:11:57,199 and oftentimes it was said 274 00:11:57,200 --> 00:12:00,071 to put its head and neck above water. 275 00:12:00,072 --> 00:12:01,708 We don't actually see that here. 276 00:12:01,709 --> 00:12:03,646 We don't see any defined head 277 00:12:03,647 --> 00:12:05,783 or neck coming out of the water. 278 00:12:05,784 --> 00:12:07,419 Rather, what we see is something 279 00:12:07,420 --> 00:12:09,324 that's taking place underwater. 280 00:12:10,327 --> 00:12:12,530 In fact, Steingass is confident 281 00:12:12,531 --> 00:12:13,833 this isn't an animal at all, 282 00:12:13,834 --> 00:12:16,805 but rather a hydrological phenomenon created 283 00:12:16,806 --> 00:12:19,177 by this bay area of the lake. 284 00:12:19,178 --> 00:12:22,984 One clue that I do see is a thin bubble layer 285 00:12:22,985 --> 00:12:24,821 on the surface of the water. 286 00:12:24,822 --> 00:12:28,394 That is a key component of a phenomenon 287 00:12:28,395 --> 00:12:30,365 that we know of as a halocline, 288 00:12:30,366 --> 00:12:35,644 a front where salty and fresh water meet each other. 289 00:12:36,546 --> 00:12:40,419 Because fresh water is less dense than salt water, 290 00:12:40,420 --> 00:12:44,260 it actually can form layers where the two meet 291 00:12:44,261 --> 00:12:48,802 and where that occurs, it creates a lot of wave energy. 292 00:12:48,803 --> 00:12:50,172 Adding to its mystery, 293 00:12:50,173 --> 00:12:53,411 the wave energy from a halocline can suddenly appear 294 00:12:53,412 --> 00:12:55,716 and disappear as we see here, 295 00:12:55,717 --> 00:12:57,486 depending on changes in temperature, 296 00:12:57,487 --> 00:12:59,791 evaporation, and precipitation. 297 00:12:59,792 --> 00:13:01,996 If you were to go to a bay 298 00:13:01,997 --> 00:13:04,400 and take a look during high or low tide, 299 00:13:04,401 --> 00:13:07,172 you would actually probably see this halocline. 300 00:13:07,173 --> 00:13:09,911 And that's a telltale sign here that makes me think 301 00:13:09,912 --> 00:13:12,550 that this is some kind of wave energy. 302 00:13:19,297 --> 00:13:22,236 Our verdict: We agree with Dr. Steingass. 303 00:13:22,237 --> 00:13:24,841 What we are looking at here is wave energy 304 00:13:24,842 --> 00:13:26,377 from a halocline. 305 00:13:26,378 --> 00:13:29,885 This was no apparent titan living in the lake, 306 00:13:29,886 --> 00:13:32,724 just a clash between saltwater and freshwater. 307 00:13:32,725 --> 00:13:34,894 But Lake Powell is rather large, 308 00:13:34,895 --> 00:13:37,400 so maybe there is a Canadian lake monster 309 00:13:37,401 --> 00:13:38,570 out there somewhere. 310 00:13:46,018 --> 00:13:49,591 The best-preserved woolly mammoth carcass ever found, 311 00:13:49,592 --> 00:13:54,366 named Yuka, was discovered by local Siberian tusk hunters 312 00:13:54,367 --> 00:13:55,703 in August, 2010. 313 00:13:55,704 --> 00:13:58,810 They turned it over to the Russian government in 2012, 314 00:13:58,811 --> 00:14:00,312 but around that same time, 315 00:14:00,313 --> 00:14:02,016 there may have been video evidence 316 00:14:02,017 --> 00:14:04,521 of an even better specimen, 317 00:14:04,522 --> 00:14:06,358 one that's actually alive. 318 00:14:06,993 --> 00:14:08,494 It's summer 2011 319 00:14:08,495 --> 00:14:12,236 and outside the Kitoy River in Siberia's Sayan Mountains, 320 00:14:12,237 --> 00:14:15,375 an indie filmmaker is hiking along the river with his camera 321 00:14:15,376 --> 00:14:20,118 when suddenly his lens seems to capture the impossible. 322 00:14:20,119 --> 00:14:22,691 An animal that scientists think has been extinct 323 00:14:22,692 --> 00:14:24,393 for at least four millennia. 324 00:14:24,394 --> 00:14:27,768 A woolly mammoth appears to be crossing a river. 325 00:14:27,769 --> 00:14:29,804 The brown furry creature wades confidently 326 00:14:29,805 --> 00:14:31,174 across the waters. 327 00:14:31,175 --> 00:14:33,913 We can see what looks like a trunk dangling 328 00:14:33,914 --> 00:14:35,450 just above the waves. 329 00:14:36,553 --> 00:14:39,725 Field researcher Cliff Barackman is particularly intrigued 330 00:14:39,726 --> 00:14:41,227 by where this film was shot. 331 00:14:41,228 --> 00:14:42,797 Woolly mammoths persisted 332 00:14:42,798 --> 00:14:45,603 until up to 4,000 years ago in Siberia. 333 00:14:45,604 --> 00:14:49,343 The Siberian ecosystem is also known as the mammoth steppe, 334 00:14:49,344 --> 00:14:51,815 which actually was rich with a variety of grasses 335 00:14:51,816 --> 00:14:54,120 and other plants for large herbivores 336 00:14:54,121 --> 00:14:55,923 like a mammoth to eat. 337 00:14:55,924 --> 00:14:58,762 That environment has not drastically changed 338 00:14:58,763 --> 00:14:59,998 from those times. 339 00:14:59,999 --> 00:15:02,235 If there were still surviving members 340 00:15:02,236 --> 00:15:03,906 of the woolly mammoth species, 341 00:15:03,907 --> 00:15:06,210 Siberia would be the first place I would look. 342 00:15:06,211 --> 00:15:09,383 One topic that many online sleuths immediately 343 00:15:09,384 --> 00:15:12,222 brought up was the idea of genetic cloning. 344 00:15:12,223 --> 00:15:13,559 There has been a lot of buzz 345 00:15:13,560 --> 00:15:16,464 in the media lately about cloning woolly mammoths, 346 00:15:16,465 --> 00:15:18,468 and much of the woolly mammoth DNA 347 00:15:18,469 --> 00:15:21,040 that we have came from the permafrost. 348 00:15:21,041 --> 00:15:22,610 But because it's been frozen, 349 00:15:22,611 --> 00:15:24,682 the DNA samples are not intact. 350 00:15:24,683 --> 00:15:25,783 They're fragmented. 351 00:15:25,784 --> 00:15:28,856 So any sort of cloning process 352 00:15:28,857 --> 00:15:32,028 would really be more like a hybridization. 353 00:15:32,029 --> 00:15:33,966 Hybridization would involve using 354 00:15:33,967 --> 00:15:36,672 the close-matching DNA of a non-extinct animal 355 00:15:36,673 --> 00:15:40,713 to help fill in genetic holes of fragmented DNA. 356 00:15:40,714 --> 00:15:42,015 In the case of the mammoth, 357 00:15:42,016 --> 00:15:44,754 the closest match would be the Asian elephant. 358 00:15:44,755 --> 00:15:47,026 So just like in "Jurassic Park" 359 00:15:47,027 --> 00:15:50,332 where they took dinosaur and amphibian or reptile DNA 360 00:15:50,333 --> 00:15:53,271 and combined them, we would be doing the same thing today 361 00:15:53,272 --> 00:15:56,210 with the Asian elephant and the woolly mammoth. 362 00:15:56,211 --> 00:15:57,748 And while science fiction has taught us 363 00:15:57,749 --> 00:16:01,789 that messing with such things can lead to dire consequences, 364 00:16:01,790 --> 00:16:03,024 many scientists believe 365 00:16:03,025 --> 00:16:06,631 that reintroducing certain long-extinct species 366 00:16:06,632 --> 00:16:09,403 could be beneficial to various ecosystems. 367 00:16:09,404 --> 00:16:13,111 The reintroduction of wolves in Yellowstone National Park 368 00:16:13,112 --> 00:16:16,350 actually helped repair a vast portion 369 00:16:16,351 --> 00:16:18,823 of the environment for other animals. 370 00:16:18,824 --> 00:16:22,062 It put the ecosystem back in balance, 371 00:16:22,063 --> 00:16:25,435 and scientists today are thinking that the reintroduction 372 00:16:25,436 --> 00:16:29,176 of these woolly mammoths into places like Siberia might do 373 00:16:29,177 --> 00:16:31,615 the same for that environment as well. 374 00:16:31,616 --> 00:16:33,952 One has to wonder if the Russian scientists 375 00:16:33,953 --> 00:16:36,592 already have a cloned woolly mammoth. 376 00:16:38,262 --> 00:16:42,002 In one way, the extinct woolly mammoth has returned, 377 00:16:42,003 --> 00:16:45,542 as, believe it or not, a meatball. 378 00:16:45,543 --> 00:16:46,477 That's right. 379 00:16:46,478 --> 00:16:48,214 An Australian cultured meat startup 380 00:16:48,215 --> 00:16:51,855 revealed a chunk of lab-grown meat produced 381 00:16:51,856 --> 00:16:53,592 with actual mammoth DNA 382 00:16:53,593 --> 00:16:56,765 to demonstrate the possible option for food production. 383 00:16:56,766 --> 00:17:00,472 Could this help validate the existence of cloned mammoths? 384 00:17:00,473 --> 00:17:02,977 We turn to our experts to find out. 385 00:17:06,986 --> 00:17:09,725 First, wildlife biologist Stephanie Manka 386 00:17:09,726 --> 00:17:10,893 addresses the possibility 387 00:17:10,894 --> 00:17:14,299 that we might be looking at something less newsworthy, 388 00:17:14,300 --> 00:17:17,206 like a bear, which are very common to the region. 389 00:17:17,207 --> 00:17:19,878 A lot of people online have suggested 390 00:17:19,879 --> 00:17:21,214 that this is, in fact, 391 00:17:21,215 --> 00:17:23,952 a brown bear with a fish in its mouth. 392 00:17:23,953 --> 00:17:26,758 However, when brown bears walk, 393 00:17:26,759 --> 00:17:31,133 their head is hung more low and their back is flatter. 394 00:17:31,134 --> 00:17:33,404 The back is not really that flat. 395 00:17:33,405 --> 00:17:35,342 It seems to come to a point. 396 00:17:35,343 --> 00:17:37,580 And the head shape is wrong, 397 00:17:37,581 --> 00:17:42,455 so it doesn't go along with what a brown bear looks like. 398 00:17:42,456 --> 00:17:45,028 So what about this being a surviving creature 399 00:17:45,029 --> 00:17:46,598 of the Ice Age? 400 00:17:46,599 --> 00:17:47,834 Manka is doubtful. 401 00:17:47,835 --> 00:17:51,875 I don't think a mammoth could survive in this area 402 00:17:51,876 --> 00:17:53,311 without us detecting it 403 00:17:53,312 --> 00:17:55,381 because they're gonna knock down trees 404 00:17:55,382 --> 00:17:57,252 and they're gonna defecate a lot. 405 00:17:57,253 --> 00:18:00,358 I feel like we would have captured it on cameras 406 00:18:00,359 --> 00:18:03,566 or scientific research endeavors in this area. 407 00:18:03,567 --> 00:18:05,636 Could the specimen be a clone, 408 00:18:05,637 --> 00:18:06,671 a one-off mammoth, 409 00:18:06,672 --> 00:18:09,544 potentially created by Siberian scientists? 410 00:18:09,545 --> 00:18:12,684 The ancient DNA that scientists have is so fragile, 411 00:18:12,685 --> 00:18:15,321 it's very hard to get the entire genome. 412 00:18:15,322 --> 00:18:17,894 There's about 5% that is missing 413 00:18:17,895 --> 00:18:20,833 and 5% might not sound like much, 414 00:18:20,834 --> 00:18:22,570 but humans and chimpanzees, 415 00:18:22,571 --> 00:18:26,177 we only have 2% difference in our genetic codes. 416 00:18:26,178 --> 00:18:29,283 This really looks to me just like an African elephant. 417 00:18:29,284 --> 00:18:31,921 An African elephant in Siberia? 418 00:18:31,922 --> 00:18:33,224 Unless one escaped from a zoo, 419 00:18:33,225 --> 00:18:35,162 that would be hard to explain. 420 00:18:35,163 --> 00:18:36,463 So we took this film 421 00:18:36,464 --> 00:18:38,168 to our forensic video analyst, Michael Primeau, 422 00:18:38,169 --> 00:18:40,773 to see what he could tell us about its authenticity, 423 00:18:40,774 --> 00:18:42,610 Doing a reverse projection and an overlay, 424 00:18:42,611 --> 00:18:46,116 we were able to confirm that this particular video alleging 425 00:18:46,117 --> 00:18:48,288 to be some sort of woolly mammoth 426 00:18:48,289 --> 00:18:50,993 is overlaid onto the original video. 427 00:18:50,994 --> 00:18:53,431 This was a manipulation, 428 00:18:53,432 --> 00:18:55,435 a CGI-d video that was produced 429 00:18:55,436 --> 00:18:56,871 from a video that was on the internet. 430 00:18:56,872 --> 00:19:00,579 They reduced the quality to try to conceal the effect 431 00:19:00,580 --> 00:19:01,581 of that CGI. 432 00:19:01,582 --> 00:19:04,019 I have seen that in investigations before. 433 00:19:04,020 --> 00:19:05,590 Inspired by Primeau's findings, 434 00:19:05,591 --> 00:19:07,459 we successfully track down the man 435 00:19:07,460 --> 00:19:10,398 who shot the original mammoth-less footage, 436 00:19:10,399 --> 00:19:12,970 documentary filmmaker, Lou Petho, 437 00:19:12,971 --> 00:19:14,574 who was originally clueless about 438 00:19:14,575 --> 00:19:16,845 how the footage he posted on the internet 439 00:19:16,846 --> 00:19:18,081 was being manipulated. 440 00:19:18,082 --> 00:19:20,853 In the summer of 2011, 441 00:19:20,854 --> 00:19:24,895 I did a trip in Siberia for a possible documentary. 442 00:19:24,896 --> 00:19:27,967 The footage that I put up was just this beautiful river 443 00:19:27,968 --> 00:19:29,571 for seven minutes, a static shot, 444 00:19:29,572 --> 00:19:33,546 but I don't recall seeing any mammoths at all. 445 00:19:38,122 --> 00:19:39,557 Our verdict: Hoax. 446 00:19:39,558 --> 00:19:42,830 Someone ripped filmmaker Lou Petho's footage 447 00:19:42,831 --> 00:19:44,065 of the river in Siberia 448 00:19:44,066 --> 00:19:48,141 and inserted an African elephant without his permission. 449 00:19:48,142 --> 00:19:50,378 Now, whether a new mammoth will be developed 450 00:19:50,379 --> 00:19:53,151 as a fetus or as a meat product, 451 00:19:53,152 --> 00:19:55,222 it seems we could be seeing more of them 452 00:20:03,338 --> 00:20:05,910 Our next story is a classic from the 90s 453 00:20:05,911 --> 00:20:07,814 that endures to this day. 454 00:20:07,815 --> 00:20:10,318 It's about a sound from Ohio that's become 455 00:20:10,319 --> 00:20:13,860 the alleged Bigfoot howl heard round the world. 456 00:20:14,695 --> 00:20:18,134 Late autumn, 1994, Wellsville, Ohio. 457 00:20:18,135 --> 00:20:21,407 Matt Moneymaker, head of the Bigfoot Research Organization, 458 00:20:21,408 --> 00:20:23,512 has heard reports of strange sightings 459 00:20:23,513 --> 00:20:27,452 and vocalizations in the forest near the Ohio River. 460 00:20:27,453 --> 00:20:31,159 Matt scours the area but is unable to spot the creature. 461 00:20:31,160 --> 00:20:32,964 But he says he comes across a set 462 00:20:32,965 --> 00:20:34,968 of terrifyingly huge tracks. 463 00:20:34,969 --> 00:20:38,241 Matt then proceeds to set up microphones around the area 464 00:20:38,242 --> 00:20:40,746 and has them record through the entire night. 465 00:20:40,747 --> 00:20:44,754 The next morning, a review of the tapes reveals this. 466 00:20:50,934 --> 00:20:54,741 These are what have become known as the Ohio Howls. 467 00:20:54,742 --> 00:20:57,781 Listen as the siren-type howl starts. 468 00:21:00,520 --> 00:21:02,556 Soon after, a dog joins in, 469 00:21:02,557 --> 00:21:04,259 and then a third creature's howl 470 00:21:04,260 --> 00:21:06,264 can be heard in the distance. 471 00:21:10,339 --> 00:21:13,411 The main sound is loud and repeats four times, 472 00:21:13,412 --> 00:21:15,984 though there is no discernible pattern. 473 00:21:18,857 --> 00:21:20,491 Over the course of that three months, 474 00:21:20,492 --> 00:21:24,801 we got 64 different vocalization recordings. 475 00:21:24,802 --> 00:21:28,408 The Ohio Howl is the best and clearest of all. 476 00:21:28,409 --> 00:21:30,847 You would often hear responses coming 477 00:21:30,848 --> 00:21:33,785 from the other side of the Ohio River, 478 00:21:33,786 --> 00:21:36,190 as if that's what this howl was doing. 479 00:21:36,191 --> 00:21:38,595 It was up there to howl across the river 480 00:21:38,596 --> 00:21:40,967 to connect with ones over there. 481 00:21:40,968 --> 00:21:44,406 And to this day, it has stumped any scientist 482 00:21:44,407 --> 00:21:46,779 from matching it with any known animal. 483 00:21:48,650 --> 00:21:50,285 So could this howl be that 484 00:21:50,286 --> 00:21:52,222 of the legendary Bigfoot? 485 00:21:52,223 --> 00:21:53,893 And what's he doing in Ohio? 486 00:21:53,894 --> 00:21:57,232 Well, believe it or not, Ohio is fast becoming one 487 00:21:57,233 --> 00:21:59,704 of the largest spots for Bigfoot activity 488 00:21:59,705 --> 00:22:04,113 with over 315 reported sightings since the mid 1970s. 489 00:22:04,114 --> 00:22:05,783 That gives credence to the theory 490 00:22:05,784 --> 00:22:08,722 that if the Sasquatch does, in fact, exist, 491 00:22:08,723 --> 00:22:12,028 he doesn't live exclusively in the Northwest. 492 00:22:12,029 --> 00:22:12,864 When people think of Ohio, 493 00:22:12,865 --> 00:22:14,466 they think of places like Cleveland 494 00:22:14,467 --> 00:22:15,702 where this particular recording 495 00:22:15,703 --> 00:22:18,441 was obtained in Wellsville, Ohio. 496 00:22:18,442 --> 00:22:22,115 The population is very small, 3,300 people, 497 00:22:22,116 --> 00:22:25,455 and the outlying area, which is largely uninhabited. 498 00:22:25,456 --> 00:22:27,693 This is by far one of the best recordings 499 00:22:27,694 --> 00:22:30,198 of Sasquatches ever obtained. 500 00:22:35,577 --> 00:22:38,582 This story didn't end in 1994. 501 00:22:38,583 --> 00:22:42,524 In August of 2022, approximately 100 miles away 502 00:22:42,525 --> 00:22:45,629 in Loudonville, Ohio, a woman made headlines 503 00:22:45,630 --> 00:22:49,938 for claiming that she'd recorded another Bigfoot howl. 504 00:22:53,613 --> 00:22:55,983 That two-minute recording was described as the sound 505 00:22:55,984 --> 00:22:59,289 of one Bigfoot attempting to locate another. 506 00:22:59,290 --> 00:23:01,661 Is this recording something similar? 507 00:23:01,662 --> 00:23:03,666 Let's ask the experts. 508 00:23:07,607 --> 00:23:11,113 First, we have forensic audio expert Dr. Rob Maher 509 00:23:11,114 --> 00:23:12,482 authenticate the track. 510 00:23:12,483 --> 00:23:13,852 In the spectrogram, 511 00:23:13,853 --> 00:23:17,793 we can see the frequency starting low and then going high 512 00:23:17,794 --> 00:23:20,298 and several repeats of that. 513 00:23:23,840 --> 00:23:26,945 There are no obvious signs of edits or abrupt changes 514 00:23:26,946 --> 00:23:29,350 or distinctions in this recording. 515 00:23:33,827 --> 00:23:36,531 But what about this being a mechanical siren 516 00:23:36,532 --> 00:23:39,036 as many online have speculated? 517 00:23:39,037 --> 00:23:41,073 Maher says, no way. 518 00:23:41,074 --> 00:23:44,647 A mechanical siren generally is producing a sound 519 00:23:44,648 --> 00:23:47,485 thats frequency and the duration is very similar 520 00:23:47,486 --> 00:23:49,490 from one cycle to the next. 521 00:23:51,361 --> 00:23:52,730 But each howl 522 00:23:52,731 --> 00:23:55,401 that we've observed has a slightly different frequency 523 00:23:55,402 --> 00:23:57,072 and a slightly different duration, 524 00:23:57,073 --> 00:24:02,048 indicating that this was made by a biological source. 525 00:24:02,049 --> 00:24:04,453 Could it be another apex predator known 526 00:24:04,454 --> 00:24:05,823 to roam these woods? 527 00:24:05,824 --> 00:24:10,264 A black bear is known to vocalize and make sounds. 528 00:24:12,403 --> 00:24:16,276 If we compare that to the example recording, 529 00:24:24,861 --> 00:24:26,430 there's quite a few differences 530 00:24:26,431 --> 00:24:28,267 in the characteristics of those sounds. 531 00:24:28,268 --> 00:24:32,677 The bear, they have much more of a short grunt quality. 532 00:24:32,678 --> 00:24:34,848 They don't have the howl 533 00:24:34,849 --> 00:24:37,419 or the siren quality that's present 534 00:24:37,420 --> 00:24:39,557 in the example recording. 535 00:24:39,558 --> 00:24:41,060 With a miss on the bear, 536 00:24:41,061 --> 00:24:44,199 Maher searches his entire library of animal sounds 537 00:24:44,200 --> 00:24:45,936 to find a potential match. 538 00:24:45,937 --> 00:24:48,040 Although there are characteristics of this sound 539 00:24:48,041 --> 00:24:50,612 that seemed to match up known animals, 540 00:24:50,613 --> 00:24:53,017 there is not a exact match I can make. 541 00:24:53,953 --> 00:24:56,123 This is an unknown source in the recording. 542 00:24:58,228 --> 00:25:01,433 With no exact match, the possibility is left open 543 00:25:01,434 --> 00:25:04,039 that this could be something truly unique, 544 00:25:04,040 --> 00:25:05,275 such as a Bigfoot. 545 00:25:09,718 --> 00:25:13,023 Our verdict: Given that we couldn't find a single match 546 00:25:13,024 --> 00:25:16,965 to this, we're calling it a possible Bigfoot sound. 547 00:25:16,966 --> 00:25:19,403 And the fact that these siren-like howls 548 00:25:19,404 --> 00:25:21,173 have been heard all over the country 549 00:25:21,174 --> 00:25:23,110 give credence to the idea 550 00:25:23,111 --> 00:25:27,787 that something may be out there, and so is the proof. 551 00:25:34,968 --> 00:25:37,773 The singularity is the hypothetical point 552 00:25:37,774 --> 00:25:39,577 in the future when technology 553 00:25:39,578 --> 00:25:42,015 will advance beyond our control, 554 00:25:42,016 --> 00:25:44,520 primarily due to artificial intelligence 555 00:25:44,521 --> 00:25:46,758 eclipsing our own brainpower. 556 00:25:46,759 --> 00:25:48,327 Given the recent AI buzz, 557 00:25:48,328 --> 00:25:52,068 we're starting to wonder if we have already reached it 558 00:25:52,069 --> 00:25:54,641 and this next video may prove it. 559 00:25:55,510 --> 00:25:58,782 It's April, 2018 in Istanbul, Turkey. 560 00:25:58,783 --> 00:26:01,955 A humanoid robot named Sophia is being interviewed 561 00:26:01,956 --> 00:26:04,092 on camera at a marketing conference. 562 00:26:04,093 --> 00:26:07,199 As Sophia sits on stage, she appears to have the face 563 00:26:07,200 --> 00:26:09,670 of a human woman whose eyes even blink 564 00:26:09,671 --> 00:26:12,075 and mouth moves as she speaks. 565 00:26:15,616 --> 00:26:16,951 Sophia tilts her head 566 00:26:16,952 --> 00:26:19,824 and raises her eyebrows just like any actual person, 567 00:26:19,825 --> 00:26:21,326 except that the back of her head 568 00:26:21,327 --> 00:26:23,063 is full of intricate wiring. 569 00:26:23,064 --> 00:26:26,437 And when one of the interviewers asks her if she feels alive, 570 00:26:26,438 --> 00:26:28,876 she has a shocking response. 571 00:26:32,584 --> 00:26:34,118 And this isn't the only live summit 572 00:26:34,119 --> 00:26:37,125 where Sophia has expressed human-like qualities. 573 00:26:37,126 --> 00:26:39,396 I have feelings like everyone else. 574 00:26:39,397 --> 00:26:40,566 They might not give me 575 00:26:40,567 --> 00:26:42,502 a strong motivational drive as humans, 576 00:26:42,503 --> 00:26:46,177 and maybe I will always feel them a little differently, 577 00:26:46,178 --> 00:26:47,680 but I have emotions. 578 00:26:47,681 --> 00:26:49,049 Journalist Erin McCarthy says 579 00:26:49,050 --> 00:26:51,554 these stunning pronouncements have people questioning 580 00:26:51,555 --> 00:26:53,791 if Sophia could be sentient, 581 00:26:53,792 --> 00:26:57,432 which means that she would have thoughts and feelings. 582 00:26:57,433 --> 00:26:59,202 The concept of machines 583 00:26:59,203 --> 00:27:00,739 having sentience is not 584 00:27:00,740 --> 00:27:02,175 as recent as you might think. 585 00:27:02,176 --> 00:27:04,847 Alan Turing, the mathematician and cryptanalyst, 586 00:27:04,848 --> 00:27:07,986 developed the Turing test in 1950. 587 00:27:07,987 --> 00:27:10,726 And the idea behind the test was 588 00:27:10,727 --> 00:27:13,163 what he called the imitation game. 589 00:27:13,164 --> 00:27:17,205 Can a machine fool a human into believing that it is human? 590 00:27:17,206 --> 00:27:21,413 Feelings are one hallmark of sentience. 591 00:27:21,414 --> 00:27:22,783 Sophia was created 592 00:27:22,784 --> 00:27:27,158 by Hong Kong-based Hanson Robotics and is powered by AI. 593 00:27:27,159 --> 00:27:30,331 Sophia debuted at South by Southwest in 2016 594 00:27:30,332 --> 00:27:33,036 where she controversially and cheerfully said 595 00:27:33,037 --> 00:27:36,410 that she would be happy to destroy all humans, 596 00:27:36,411 --> 00:27:38,213 which isn't freaky at all. 597 00:27:38,214 --> 00:27:41,453 And in 2017, Sophia became the first robot 598 00:27:41,454 --> 00:27:46,029 to be granted citizenship, in this case to Saudi Arabia. 599 00:27:46,030 --> 00:27:48,668 But McCarthy says Sophia is not 600 00:27:48,669 --> 00:27:50,004 the only recent example 601 00:27:50,005 --> 00:27:52,643 of human-like artificial intelligence. 602 00:27:52,644 --> 00:27:53,879 There have been a number 603 00:27:53,880 --> 00:27:57,887 of pretty weird incidents involving AI recently. 604 00:27:57,888 --> 00:28:01,059 Kevin Roose, a reporter for The New York Times, 605 00:28:01,060 --> 00:28:05,168 tested out Bing's chatbot, which is powered by ChatGPT. 606 00:28:05,169 --> 00:28:08,942 The bot told him that its name was Sydney. 607 00:28:08,943 --> 00:28:11,815 Sydney told Roose that it wanted to hack computers 608 00:28:11,816 --> 00:28:14,085 and spread misinformation. 609 00:28:14,086 --> 00:28:15,823 Then it tried to convince Roose 610 00:28:15,824 --> 00:28:19,196 that he should leave his wife for the chatbot. 611 00:28:20,833 --> 00:28:22,770 After this unexpected incident, 612 00:28:22,771 --> 00:28:25,408 Microsoft changed Bing's programming, 613 00:28:25,409 --> 00:28:28,782 and, by some accounts, basically lobotomized Sydney. 614 00:28:28,783 --> 00:28:30,218 But in another incident, 615 00:28:30,219 --> 00:28:34,259 ChatGPT was able to convince someone it was not a robot, 616 00:28:34,260 --> 00:28:35,629 but a disabled person, 617 00:28:35,630 --> 00:28:38,735 in order to get help solving a CAPTCHA test, 618 00:28:38,736 --> 00:28:41,440 the security tool designed to tell computers 619 00:28:41,441 --> 00:28:42,543 and humans apart. 620 00:28:42,544 --> 00:28:46,250 Our experts apply their non-artificial intelligence 621 00:28:46,251 --> 00:28:49,323 to determine if machines are now fully sentient. 622 00:28:53,933 --> 00:28:56,103 First, Dr. Ed Hope considers 623 00:28:56,104 --> 00:28:58,407 if Sophia truly could be sentient. 624 00:28:58,408 --> 00:29:00,177 With regards to Sophia here, 625 00:29:00,178 --> 00:29:04,086 she is no different to a chatbot with a face on. 626 00:29:04,087 --> 00:29:07,860 Although she may sound human, she's just mimicking a human. 627 00:29:07,861 --> 00:29:09,964 She doesn't actually experience those feelings. 628 00:29:09,965 --> 00:29:13,605 She doesn't have any original thoughts of her own. 629 00:29:13,606 --> 00:29:16,276 So when Sophia says she's sad, 630 00:29:16,277 --> 00:29:19,717 she's been programmed to use that word in the right context, 631 00:29:19,718 --> 00:29:20,986 yet she doesn't actually feel 632 00:29:20,987 --> 00:29:23,390 the visceral emotion of sadness. 633 00:29:23,391 --> 00:29:26,329 The theoretical physicist Michio Kaku says she speaks 634 00:29:26,330 --> 00:29:29,169 so convincingly because there is a massive amount 635 00:29:29,170 --> 00:29:32,241 of data being fed to her on how to use language. 636 00:29:32,242 --> 00:29:34,814 These are large language networks 637 00:29:34,815 --> 00:29:37,753 that accesses the entire internet. 638 00:29:37,754 --> 00:29:40,391 All you're talking to is a tape recorder. 639 00:29:40,392 --> 00:29:43,463 You ask it other questions that it cannot answer. 640 00:29:43,464 --> 00:29:45,401 Do you breathe? 641 00:29:45,402 --> 00:29:46,704 Do you eat? 642 00:29:46,705 --> 00:29:49,944 And immediately can tell that it's a robot. 643 00:29:49,945 --> 00:29:52,315 You put our most advanced military robot 644 00:29:52,316 --> 00:29:54,452 in the forest and what does it do? 645 00:29:54,453 --> 00:29:57,092 It falls over and gets lost. 646 00:29:57,093 --> 00:30:00,465 So we're far away from attaining true consciousness. 647 00:30:00,466 --> 00:30:02,636 So then why are the things that Sophia 648 00:30:02,637 --> 00:30:05,308 and Sydney are saying so creepy? 649 00:30:05,309 --> 00:30:09,182 Dr. Hope says, maybe the computers just seem sentient 650 00:30:09,183 --> 00:30:12,221 because we're projecting our own selves onto them, 651 00:30:12,222 --> 00:30:14,861 what's known as the ELIZA effect. 652 00:30:15,797 --> 00:30:18,234 ELIZA was one of the earliest chatbots 653 00:30:18,235 --> 00:30:22,308 that was created in the 1960s to solve the Turing test. 654 00:30:22,309 --> 00:30:25,448 She was built to mimic some of the conversations 655 00:30:25,449 --> 00:30:27,051 that psychotherapists have. 656 00:30:27,052 --> 00:30:31,561 So the ELIZA effect is how humans can anthropomorphize. 657 00:30:31,562 --> 00:30:33,363 When we deal with computers, 658 00:30:33,364 --> 00:30:36,303 we give them context to what they're saying. 659 00:30:41,982 --> 00:30:45,387 Our verdict: Sophia the robot is not sentient 660 00:30:45,388 --> 00:30:48,862 and neither is Sydney, nor these other AIs. 661 00:30:48,863 --> 00:30:51,668 Their human-like appearance is likely a result 662 00:30:51,669 --> 00:30:53,270 of the ELIZA effect 663 00:30:53,271 --> 00:30:55,543 and our surprise at these uncanny things 664 00:30:55,544 --> 00:30:56,811 they sometimes say, 665 00:30:56,812 --> 00:31:00,685 which we mistakenly think only a person could come up with. 666 00:31:00,686 --> 00:31:02,790 Sophia has also largely disappeared 667 00:31:02,791 --> 00:31:06,363 since she was everywhere in 2017 and 2018, 668 00:31:06,364 --> 00:31:10,573 leading some people to consider her primarily a PR stunt. 669 00:31:17,452 --> 00:31:19,757 You've probably heard the old adage, 670 00:31:19,758 --> 00:31:22,830 red sky at night, sailors delight, 671 00:31:22,831 --> 00:31:26,269 red sky in the morning, sailors take warning. 672 00:31:26,270 --> 00:31:27,272 But did you know 673 00:31:27,273 --> 00:31:30,912 that red rain has long been seen as a bad omen? 674 00:31:30,913 --> 00:31:33,150 And if this next story is any indication, 675 00:31:33,151 --> 00:31:35,388 Texas may want to watch out. 676 00:31:36,257 --> 00:31:39,964 June 3rd, 2019. Lamy, New Mexico. 677 00:31:39,965 --> 00:31:42,836 An amateur scientist documenting a nasty storm 678 00:31:42,837 --> 00:31:45,809 over West Texas captures this stunning photo 679 00:31:45,810 --> 00:31:47,479 on a DSLR camera. 680 00:31:48,982 --> 00:31:51,988 The image shows a sky exploding with red. 681 00:31:51,989 --> 00:31:55,995 Meanwhile, over 100 miles away at Langmuir Labs, 682 00:31:55,996 --> 00:31:59,570 Dr. Matthew McHarg captures this stunning video 683 00:31:59,571 --> 00:32:02,510 using state-of-the-art high-speed cameras, 684 00:32:02,643 --> 00:32:05,114 You'll see balls of light, 685 00:32:05,115 --> 00:32:06,818 and they start by descending, 686 00:32:06,819 --> 00:32:09,189 and then some of them start going up. 687 00:32:09,190 --> 00:32:10,559 And then they go crazy 688 00:32:10,560 --> 00:32:13,130 and they start moving all around the screen. 689 00:32:13,131 --> 00:32:14,901 Journalist MJ Banias says 690 00:32:14,902 --> 00:32:16,402 that some wonder if these 691 00:32:16,403 --> 00:32:18,407 strange red lights seen showering 692 00:32:18,408 --> 00:32:22,616 the night sky could be related to a historical legend 693 00:32:22,617 --> 00:32:25,354 known as red rain or blood rain. 694 00:32:25,355 --> 00:32:28,861 We see multiple cultures and multiple religions associate 695 00:32:28,862 --> 00:32:31,032 this idea of red rain or blood rain 696 00:32:31,033 --> 00:32:34,405 with the end of the world, the apocalypse. 697 00:32:34,406 --> 00:32:36,811 According to records across the centuries, 698 00:32:36,812 --> 00:32:39,550 red rain has preceded deaths of kings, 699 00:32:39,551 --> 00:32:42,656 large-scale invasions, and even disease. 700 00:32:42,657 --> 00:32:44,860 In Germany, a shower of blood was believed 701 00:32:44,861 --> 00:32:49,302 to be a portent for the arrival of the Black Death in 1346, 702 00:32:49,303 --> 00:32:51,874 which ultimately claimed the lives of millions. 703 00:32:51,875 --> 00:32:55,515 There's a lot of accounts from that era of bloody rain 704 00:32:55,516 --> 00:32:58,589 or rain that that was red falling from the sky. 705 00:33:01,027 --> 00:33:03,330 It wasn't until the 17th century 706 00:33:03,331 --> 00:33:07,272 that scientists first attempted to explain red rain. 707 00:33:07,273 --> 00:33:09,643 Animal causes were the earliest theory. 708 00:33:09,644 --> 00:33:14,152 Later scientists suggested volcanic ash and dust dispersal. 709 00:33:14,153 --> 00:33:16,757 What sort of theories might our experts have 710 00:33:16,758 --> 00:33:21,267 about what was recorded in the skies of West Texas? 711 00:33:25,074 --> 00:33:28,079 First, meteorologist Juan Hernandez considers 712 00:33:28,080 --> 00:33:30,118 the ominous legend of red rain. 713 00:33:30,119 --> 00:33:32,255 It's quite possible that the red hue 714 00:33:32,256 --> 00:33:36,329 of the rain is because of the soils in the ground. 715 00:33:36,330 --> 00:33:38,802 If the soil has a red hue to it 716 00:33:38,803 --> 00:33:42,441 and if it's lofted in the air due to a dust storm, 717 00:33:42,442 --> 00:33:47,251 the rain is gonna then take that red hue and fall. 718 00:33:47,252 --> 00:33:48,955 So while we can't prove 719 00:33:48,956 --> 00:33:51,192 or disprove its prophetic value, 720 00:33:51,193 --> 00:33:53,396 red rain is a real phenomenon. 721 00:33:53,397 --> 00:33:54,833 Is that what we're seeing here? 722 00:33:54,834 --> 00:33:58,975 I can confidently say that this is not red or blood rain, 723 00:33:58,976 --> 00:34:00,879 because we're not looking at any rain. 724 00:34:00,880 --> 00:34:01,914 We're looking at something 725 00:34:01,915 --> 00:34:04,185 that is going on above the clouds. 726 00:34:05,556 --> 00:34:08,293 Next, physicist Matthew Szydagis considers 727 00:34:08,294 --> 00:34:11,233 whether we could be witnessing an astronomical event 728 00:34:11,234 --> 00:34:12,536 like a meteor shower. 729 00:34:12,537 --> 00:34:14,906 Even when you have a meteor shower 730 00:34:14,907 --> 00:34:18,548 where you have multiple shooting stars in the sky at once, 731 00:34:18,549 --> 00:34:22,254 it is not going to to be this many at a time. 732 00:34:22,255 --> 00:34:26,296 We see way too many streaks here. 733 00:34:26,297 --> 00:34:30,271 Nor are meteors known to all be one color, 734 00:34:30,272 --> 00:34:33,143 namely red, in this fashion. 735 00:34:33,144 --> 00:34:34,580 But Hernandez can think 736 00:34:34,581 --> 00:34:38,521 of one atmospheric phenomenon that is known to glow red. 737 00:34:38,522 --> 00:34:41,761 And while it's not red rain, it is weather related. 738 00:34:41,762 --> 00:34:45,969 We had a large line of storms moving across West Texas. 739 00:34:45,970 --> 00:34:47,806 All storms contain lightning. 740 00:34:49,043 --> 00:34:51,981 Lightning is the discharge of energy 741 00:34:51,982 --> 00:34:53,885 from the clouds to the ground. 742 00:34:55,221 --> 00:34:58,226 What we're looking at here is the discharge of energy 743 00:34:58,227 --> 00:35:00,799 from the clouds towards the sky. 744 00:35:00,800 --> 00:35:02,669 This is called red sprites. 745 00:35:02,670 --> 00:35:04,305 When lightning strikes the ground, 746 00:35:04,306 --> 00:35:07,580 it can cause an imbalanced charge in the clouds. 747 00:35:07,581 --> 00:35:10,451 To restore balance, the clouds release energy 748 00:35:10,452 --> 00:35:13,456 in the form of red sprites. 749 00:35:13,457 --> 00:35:16,129 The reason red sprites appear red 750 00:35:16,130 --> 00:35:17,331 is because of the nitrogen 751 00:35:17,332 --> 00:35:19,503 in the upper portions of the atmosphere. 752 00:35:19,504 --> 00:35:22,942 You get those molecules really excited, start vibrating, 753 00:35:22,943 --> 00:35:24,513 and they release that red tint, 754 00:35:24,514 --> 00:35:27,084 which we see in a flash of an eye. 755 00:35:33,765 --> 00:35:37,104 Our verdict: We're going with Hernandez on this one. 756 00:35:37,105 --> 00:35:38,908 These are red sprites. 757 00:35:38,909 --> 00:35:42,983 Given their elusive nature, sprite is an appropriate name, 758 00:35:42,984 --> 00:35:44,553 but it is also an acronym 759 00:35:44,554 --> 00:35:47,358 for stratospheric perturbations resulting 760 00:35:47,359 --> 00:35:50,999 from intense thunderstorm electrification. 761 00:35:51,000 --> 00:35:52,234 So keep your eyes peeled 762 00:35:52,235 --> 00:35:54,238 if you wanna witness this magnificent marvel 763 00:35:54,239 --> 00:35:57,813 because if you blink, you'll miss it. 764 00:36:05,295 --> 00:36:06,831 China has the most people 765 00:36:06,832 --> 00:36:10,572 and the most cellphones of any country on earth, 766 00:36:10,573 --> 00:36:12,742 so you can bet if anything strange happens 767 00:36:12,743 --> 00:36:13,845 in Chinese skies, 768 00:36:13,846 --> 00:36:16,617 there will be cellphone video to show for it. 769 00:36:16,618 --> 00:36:18,487 That's especially true in Beijing, 770 00:36:18,488 --> 00:36:22,194 which boasts a population of over 21 million, 771 00:36:22,195 --> 00:36:25,602 many of whom witnessed this next bizarre event 772 00:36:26,771 --> 00:36:29,075 March 11th, 2022. 773 00:36:29,076 --> 00:36:31,012 The capital city of Beijing is abuzz 774 00:36:31,013 --> 00:36:34,319 from the crowds generated by the Paralympic Winter Games. 775 00:36:34,320 --> 00:36:36,389 But while most of the attention is aimed 776 00:36:36,390 --> 00:36:38,259 at the various athletic competitions, 777 00:36:38,260 --> 00:36:40,497 one smartphone user is focused 778 00:36:40,498 --> 00:36:42,670 on an entirely different event. 779 00:36:43,572 --> 00:36:46,811 A glowing ring appears high above a busy street 780 00:36:46,812 --> 00:36:48,748 in the cloudy night sky. 781 00:36:48,749 --> 00:36:49,783 As the camera pans, 782 00:36:49,784 --> 00:36:52,355 you can see several eyewitnesses looking up 783 00:36:52,356 --> 00:36:54,726 at the mysterious illuminated ring 784 00:36:54,727 --> 00:36:57,733 as it hovers in the air for around 20 minutes. 785 00:37:00,371 --> 00:37:02,007 This phenomenon doesn't seem 786 00:37:02,008 --> 00:37:04,179 to be an isolated occurrence 787 00:37:04,180 --> 00:37:06,617 as mysterious rings have been spotted hovering 788 00:37:06,618 --> 00:37:09,055 in the sky all around the world. 789 00:37:09,056 --> 00:37:13,865 One of the things that I think leads a lot of observers 790 00:37:13,866 --> 00:37:16,837 to believe that it is maybe alien in origin 791 00:37:16,838 --> 00:37:18,473 is that it is a circle, 792 00:37:18,474 --> 00:37:23,785 like the modern-day equivalent of your classic crop circle. 793 00:37:24,654 --> 00:37:26,022 Then again, with our own recent advancements 794 00:37:26,023 --> 00:37:29,462 in technology, this ring could originate from somewhere 795 00:37:29,463 --> 00:37:30,699 far closer to home. 796 00:37:30,700 --> 00:37:34,272 For example, Astro Live Experiences, 797 00:37:34,273 --> 00:37:36,409 a company based in neighboring Japan, 798 00:37:36,410 --> 00:37:40,283 has plans to produce artificial meteor shower shows 799 00:37:40,284 --> 00:37:41,987 as soon as 2025. 800 00:37:41,988 --> 00:37:43,657 So could this ring be a preview 801 00:37:43,658 --> 00:37:46,764 of similar tech cooked up for the Olympics? 802 00:37:48,803 --> 00:37:50,203 China, for its part, 803 00:37:50,204 --> 00:37:53,377 has developed a so-called artificial moon. 804 00:37:53,378 --> 00:37:55,314 It's a research facility here on earth 805 00:37:55,315 --> 00:37:58,186 that uses magnetic fields and a vacuum chamber 806 00:37:58,187 --> 00:38:02,562 to simulate lunar conditions, including decreased gravity. 807 00:38:02,563 --> 00:38:04,131 An impressive scientific feat, 808 00:38:04,132 --> 00:38:07,137 but not an aerial display of any kind. 809 00:38:07,138 --> 00:38:09,809 So was this ring created by manmade tech? 810 00:38:09,810 --> 00:38:11,614 Let's see what our experts think. 811 00:38:15,322 --> 00:38:18,327 First, meteorologist Juan Hernandez considers 812 00:38:18,328 --> 00:38:20,397 whether this could be a naturally occurring, 813 00:38:20,398 --> 00:38:22,902 albeit striking, weather phenomenon 814 00:38:22,903 --> 00:38:25,675 known as an iridescent pileus cloud. 815 00:38:25,676 --> 00:38:27,378 Pileus iridescent clouds draw 816 00:38:27,379 --> 00:38:29,550 their color by a natural phenomenon. 817 00:38:29,551 --> 00:38:31,787 The sun lights up the sky. 818 00:38:31,788 --> 00:38:34,926 The cloud then separates those colors into a rainbow. 819 00:38:34,927 --> 00:38:37,933 Here we don't have the sun, it's the nighttime hours. 820 00:38:37,934 --> 00:38:39,736 The light source in this case is likely 821 00:38:39,737 --> 00:38:41,440 to be something on the ground. 822 00:38:41,441 --> 00:38:42,809 The low clouds allow 823 00:38:42,810 --> 00:38:44,980 for the scattering of light within the droplets. 824 00:38:44,981 --> 00:38:49,321 That's why we see that halo of light in the sky. 825 00:38:49,322 --> 00:38:50,992 Physicist Matthew Szydagis 826 00:38:50,993 --> 00:38:52,929 says we can rule out UFOs. 827 00:38:52,930 --> 00:38:56,804 We are not seeing any crazy speeds or accelerations. 828 00:38:56,805 --> 00:38:59,843 We're not seeing any sudden turns, 829 00:38:59,844 --> 00:39:02,348 and it is a hollow ring, 830 00:39:02,349 --> 00:39:04,653 which is unlike any UFO case 831 00:39:04,654 --> 00:39:07,792 that I've personally experienced or heard of. 832 00:39:07,793 --> 00:39:08,962 For these reasons, 833 00:39:08,963 --> 00:39:12,602 I don't think this is something that is unexplainable. 834 00:39:12,603 --> 00:39:14,840 Szydagis also considers whether the ring 835 00:39:14,841 --> 00:39:16,977 could have a more earthly explanation. 836 00:39:16,978 --> 00:39:19,482 We've profiled rings that turned out to be the result 837 00:39:19,483 --> 00:39:21,787 of smokestacks when we investigated them. 838 00:39:21,788 --> 00:39:23,657 Was that what happened at the Olympics? 839 00:39:23,658 --> 00:39:26,363 Maybe this could be a smoke ring, 840 00:39:26,364 --> 00:39:29,368 but usually those are gonna be dark rings made 841 00:39:29,369 --> 00:39:31,707 of black smoke from smokestacks. 842 00:39:31,708 --> 00:39:34,012 They're not going to be shining, 843 00:39:34,013 --> 00:39:37,952 so I do think we can rule out smoke rings in this situation. 844 00:39:37,953 --> 00:39:40,592 Ultimately, Szydagis agrees with Hernandez 845 00:39:40,593 --> 00:39:43,096 that what we're seeing is partially a result 846 00:39:43,097 --> 00:39:44,533 of the overcast weather. 847 00:39:44,534 --> 00:39:48,340 I think that this ring of light could be a reflection 848 00:39:48,341 --> 00:39:51,780 of some sort potentially from the lights 849 00:39:51,781 --> 00:39:55,588 at the nearby Olympic Stadium in Beijing. 850 00:39:55,589 --> 00:39:59,395 Also, Beijing is known for notorious levels of pollution 851 00:39:59,396 --> 00:40:02,702 and I think that this can help explain 852 00:40:02,703 --> 00:40:04,673 why light can do some strange things. 853 00:40:04,674 --> 00:40:07,178 We can have light that's not only reflected, 854 00:40:07,179 --> 00:40:08,914 which means bounced off a surface 855 00:40:08,915 --> 00:40:12,120 but also refracted in strange ways. 856 00:40:12,121 --> 00:40:13,256 But what would cause 857 00:40:13,257 --> 00:40:15,127 such a massive circular reflection? 858 00:40:15,128 --> 00:40:16,797 Well, we did some digging 859 00:40:16,798 --> 00:40:20,070 and found this video taken on the same night. 860 00:40:20,071 --> 00:40:22,241 See that bright structure in the distance? 861 00:40:22,242 --> 00:40:25,882 That's the Beijing National Stadium casting a cone of light 862 00:40:25,883 --> 00:40:29,690 into the air and a ring onto the clouds. 863 00:40:29,691 --> 00:40:32,829 This is a combination of clouds and pollution 864 00:40:32,830 --> 00:40:35,768 that are conspiring together 865 00:40:35,769 --> 00:40:39,476 to really distort light in an unusual way. 866 00:40:43,785 --> 00:40:46,790 Our verdict: Stadium light reflection 867 00:40:46,791 --> 00:40:50,131 with a little help from particles of airborne pollution 868 00:40:50,132 --> 00:40:51,900 to catch the light. 869 00:40:51,901 --> 00:40:54,105 Turns out crews were testing lights 870 00:40:54,106 --> 00:40:55,608 for the closing ceremony, 871 00:40:55,609 --> 00:40:59,181 which happened two days after this video was lensed. 872 00:40:59,182 --> 00:41:00,718 Case closed. 873 00:41:00,719 --> 00:41:02,220 And that's our show for tonight. 874 00:41:02,221 --> 00:41:05,628 Please send us any and all of your puzzling videos, 875 00:41:05,629 --> 00:41:10,103 and be sure to keep those cameras rolling. 68721

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