1 00:00:00,760 --> 00:00:03,960 Speaker 1: If you missed it, AOL just announced they're gonna stop 2 00:00:03,960 --> 00:00:09,200 Speaker 1: offering dial up internet after more than thirty years in business. 3 00:00:09,440 --> 00:00:10,160 Speaker 2: Can you say it? 4 00:00:10,200 --> 00:00:12,760 Speaker 1: And you play this music like anybody even still used 5 00:00:12,760 --> 00:00:13,320 Speaker 1: it or. 6 00:00:13,360 --> 00:00:14,640 Speaker 2: Knew that it was still a valain? 7 00:00:14,840 --> 00:00:18,400 Speaker 1: Nobody even knew one hundred and sixty thousand people still. 8 00:00:18,160 --> 00:00:21,079 Speaker 2: Relied on it for they're a whole million. It's not 9 00:00:21,200 --> 00:00:22,599 Speaker 2: a lot. You're still important. 10 00:00:22,840 --> 00:00:25,160 Speaker 1: And I'm not pointing any fingers, but I think we 11 00:00:25,200 --> 00:00:29,280 Speaker 1: all know who's to blame for this. It's TikTok click 12 00:00:29,320 --> 00:00:33,240 Speaker 1: shock take away all the business. 13 00:00:32,520 --> 00:00:34,440 Speaker 2: The buffering on TikTok with dial up. 14 00:00:34,600 --> 00:00:37,400 Speaker 1: Oh yeah, it's TikTok click Shock, where we discussed the 15 00:00:37,440 --> 00:00:39,440 Speaker 1: biggest TikTok videos from the past week. 16 00:00:39,479 --> 00:00:40,640 Speaker 2: We're gonna get right to your. 17 00:00:40,520 --> 00:00:43,680 Speaker 1: First TikTok click Shock, which is from a young woman 18 00:00:43,800 --> 00:00:47,479 Speaker 1: named Manasi Mishra and she just graduated college. 19 00:00:47,680 --> 00:00:48,319 Speaker 2: Oh good day. 20 00:00:48,800 --> 00:00:52,600 Speaker 1: Track got her very first taste of the current job market. 21 00:00:52,760 --> 00:00:54,520 Speaker 2: It's got the first worst year of your life. 22 00:00:54,880 --> 00:00:58,080 Speaker 1: So she posted about it and her video got nearly 23 00:00:58,120 --> 00:00:59,920 Speaker 1: four hundred thousand views. 24 00:01:00,760 --> 00:01:02,720 Speaker 2: So let's listen to her take. 25 00:01:02,800 --> 00:01:05,080 Speaker 3: I just graduated with a computer science degree and the 26 00:01:05,080 --> 00:01:07,840 Speaker 3: only company that's called me for an interview is Chipotlet. 27 00:01:08,080 --> 00:01:10,080 Speaker 3: Of course, the year I graduate is the year the 28 00:01:10,120 --> 00:01:13,560 Speaker 3: tech industry goes downhill. I just graduated from Purdue University 29 00:01:13,600 --> 00:01:16,360 Speaker 3: with a bachelor's in computer science, Go Boilers, and my 30 00:01:16,400 --> 00:01:19,160 Speaker 3: biggest fear is moving back home. My college apartment lease 31 00:01:19,280 --> 00:01:21,119 Speaker 3: ends in July, so I'm going to be living here 32 00:01:21,240 --> 00:01:24,119 Speaker 3: until July, applying to jobs, and hopefully I can land 33 00:01:24,200 --> 00:01:28,080 Speaker 3: a full time job after July after graduation. In the meantime, 34 00:01:28,160 --> 00:01:30,280 Speaker 3: I hope I don't fail my Chipotle interview, so I 35 00:01:30,280 --> 00:01:32,200 Speaker 3: can at least have a summer job to get me 36 00:01:32,240 --> 00:01:33,440 Speaker 3: through the next few months. 37 00:01:33,480 --> 00:01:37,959 Speaker 4: Oh girl, oh man, imagine madream in an industry that 38 00:01:38,160 --> 00:01:41,000 Speaker 4: just undid itself. That totally yeah. 39 00:01:41,040 --> 00:01:42,600 Speaker 1: But to be honest, I didn't like the way that 40 00:01:42,640 --> 00:01:44,880 Speaker 1: she said I only got an offer from Chipotle. 41 00:01:45,080 --> 00:01:46,640 Speaker 2: Why we love. 42 00:01:48,680 --> 00:01:51,200 Speaker 1: Ordering it today for the whole company we love. 43 00:01:51,920 --> 00:01:55,400 Speaker 2: She has a computer science degree. I think anyone on 44 00:01:55,520 --> 00:01:57,960 Speaker 2: graduation expects that you're going to be in the field 45 00:01:57,960 --> 00:01:58,600 Speaker 2: that you study. 46 00:01:58,760 --> 00:02:02,680 Speaker 1: Thank you, and spoiler, she did not get the Chipotle job. 47 00:02:05,000 --> 00:02:08,960 Speaker 1: They had one position open for rolling burritos. Twenty different 48 00:02:09,000 --> 00:02:12,520 Speaker 1: tech graduates all applied for it, and they did not 49 00:02:12,720 --> 00:02:13,640 Speaker 1: go with Manassis. 50 00:02:13,720 --> 00:02:15,880 Speaker 2: Some guy from Yale is like, yes, I got it. 51 00:02:16,400 --> 00:02:17,600 Speaker 2: The Manassis not alone. 52 00:02:17,639 --> 00:02:21,240 Speaker 1: A graduate of Oregon State University says he applied to 53 00:02:21,360 --> 00:02:25,799 Speaker 1: six thousand different tech jobs after graduating, probably using AI 54 00:02:26,000 --> 00:02:28,760 Speaker 1: to copy and paste all of his resumes, leading him 55 00:02:28,800 --> 00:02:32,640 Speaker 1: to just getting a handful of interviews zero job office. 56 00:02:34,040 --> 00:02:36,320 Speaker 1: Then tried to land a role at McDonald's, where he 57 00:02:36,360 --> 00:02:40,120 Speaker 1: got rejected for lack of experience, and then moved in 58 00:02:40,280 --> 00:02:41,560 Speaker 1: home with his parents. 59 00:02:41,639 --> 00:02:44,160 Speaker 2: No, oh, it's that bad. 60 00:02:44,360 --> 00:02:47,680 Speaker 1: It's tough out there, so keep fighting the good fight. Graduates. 61 00:02:47,960 --> 00:02:49,560 Speaker 1: That was a TikTok click shock. 62 00:02:49,600 --> 00:02:52,799 Speaker 2: Here. Next TikTok click shot is from. 63 00:02:52,560 --> 00:02:56,920 Speaker 1: An airline passenger who videotaped a pilot's PA announcement and 64 00:02:56,960 --> 00:03:01,280 Speaker 1: that went viral, getting three point nine million vway is going. 65 00:03:01,280 --> 00:03:03,680 Speaker 2: To be hilarious and cool or super annoying? 66 00:03:03,760 --> 00:03:05,600 Speaker 1: Yes, well, before I play, and I'm gonna have to 67 00:03:05,600 --> 00:03:08,040 Speaker 1: give you a little bit of context first, because there 68 00:03:08,160 --> 00:03:12,200 Speaker 1: was a different passenger who had a medical emergency mid flight. No, 69 00:03:12,520 --> 00:03:15,960 Speaker 1: there were no doctors or medical personnel available, so the 70 00:03:16,040 --> 00:03:19,079 Speaker 1: captain had to make a quick emergency landing to divert 71 00:03:19,160 --> 00:03:19,760 Speaker 1: to Canada. 72 00:03:19,960 --> 00:03:22,800 Speaker 2: Just temporarily, okay, so LEAs in Canada, healthcare will. 73 00:03:22,720 --> 00:03:26,440 Speaker 1: Be so they're just stop her to offload this passenger 74 00:03:26,480 --> 00:03:29,000 Speaker 1: and get them the assistance they needed, so they did. 75 00:03:29,280 --> 00:03:32,000 Speaker 1: Two hours later, the plane takes off again, headed back 76 00:03:32,000 --> 00:03:35,840 Speaker 1: for its original destination. This was the announcement that the 77 00:03:35,880 --> 00:03:39,920 Speaker 1: pilot made on takeoff, Captain. 78 00:03:39,640 --> 00:03:44,120 Speaker 4: Speaking, you'll be happy, no to learn, but our passenger, 79 00:03:46,320 --> 00:03:49,640 Speaker 4: which we saved our lives, and she was angry to 80 00:03:49,720 --> 00:03:53,680 Speaker 4: be ufloaded through the aircraft and she gave us a 81 00:03:53,680 --> 00:03:59,840 Speaker 4: figure and she still exerted and being very angry at it. 82 00:04:00,880 --> 00:04:04,080 Speaker 1: Wait, she was mad that they offloaded her and she 83 00:04:04,080 --> 00:04:05,720 Speaker 1: missed her flight, so she flipped them off. 84 00:04:05,760 --> 00:04:06,720 Speaker 2: Is that what I'm said? 85 00:04:06,880 --> 00:04:07,240 Speaker 4: Or why? 86 00:04:07,520 --> 00:04:09,320 Speaker 1: Yeah? And I'm not sure if she was mad that 87 00:04:09,400 --> 00:04:11,160 Speaker 1: she couldn't get her flight home or if that she 88 00:04:11,360 --> 00:04:14,440 Speaker 1: ended up in Canada. Whatever, it was really tick that 89 00:04:14,560 --> 00:04:15,160 Speaker 1: lady off. 90 00:04:15,480 --> 00:04:18,359 Speaker 2: It's amazing that the pilot can see her flipping him off. 91 00:04:18,520 --> 00:04:21,440 Speaker 1: It's also amazing the pilot being French makes it just 92 00:04:21,440 --> 00:04:23,480 Speaker 1: a little bit funny. Yeah yeah. 93 00:04:23,760 --> 00:04:25,080 Speaker 2: But social media. 94 00:04:24,880 --> 00:04:27,479 Speaker 1: Users chimed in on the video, saying, quote, ooh, I 95 00:04:27,560 --> 00:04:31,920 Speaker 1: love me as sassy pilots. Another said normalized pilot gossip 96 00:04:31,960 --> 00:04:33,000 Speaker 1: on the PA system. 97 00:04:33,080 --> 00:04:38,760 Speaker 2: We know the tea is the flight attendants did. Yeah, sorry, 98 00:04:38,800 --> 00:04:41,479 Speaker 2: we're taking on a late today. Somebody was thirty minutes later. 99 00:04:41,680 --> 00:04:46,320 Speaker 1: Yeah, Josh, I hope they don't replace pilot jobs with aish. 100 00:04:46,600 --> 00:04:50,320 Speaker 1: They don't have any systems where planes can automatically fly yourselves, right. 101 00:04:50,320 --> 00:04:51,240 Speaker 2: Oh no, no, I. 102 00:04:51,560 --> 00:04:53,720 Speaker 1: Don't actually touch much until it lands or takes off. 103 00:04:54,279 --> 00:04:58,000 Speaker 2: Yeah, but still well, hopefully it's still safe. That's a 104 00:04:58,000 --> 00:05:01,279 Speaker 2: click shock. Let's go to your final TikTok click shot 105 00:05:01,480 --> 00:05:01,920 Speaker 2: from a. 106 00:05:01,880 --> 00:05:04,760 Speaker 1: Woman in La who was going to work recently when 107 00:05:04,800 --> 00:05:08,680 Speaker 1: she spotted something strange on top of a dumpster. When 108 00:05:08,680 --> 00:05:11,880 Speaker 1: that happens, naturally you have to pull over and investigate. 109 00:05:12,279 --> 00:05:15,360 Speaker 1: The woman's name is Teresa Sanchez, and here she is 110 00:05:15,400 --> 00:05:17,440 Speaker 1: talking about her bizarre encounter. 111 00:05:17,800 --> 00:05:20,159 Speaker 2: I was just driving in and I saw something that 112 00:05:20,200 --> 00:05:21,760 Speaker 2: looked like a snake. And at first I thought it 113 00:05:21,800 --> 00:05:24,160 Speaker 2: was maybe like a stuffed animal. But I'm like, who 114 00:05:24,200 --> 00:05:26,640 Speaker 2: would leave such a huge stuffed animal? And then as 115 00:05:26,640 --> 00:05:27,080 Speaker 2: I got. 116 00:05:26,920 --> 00:05:28,960 Speaker 3: Closer, it looked to realistic, so I thought it was 117 00:05:28,960 --> 00:05:30,600 Speaker 3: maybe taxidermy. 118 00:05:30,400 --> 00:05:31,280 Speaker 1: And then it moved. 119 00:05:31,600 --> 00:05:34,440 Speaker 2: I was like, it's am I in Florida. 120 00:05:34,520 --> 00:05:37,480 Speaker 3: The first thing I called was animal control, but they 121 00:05:37,520 --> 00:05:40,400 Speaker 3: didn't pick up, So then I called the police and 122 00:05:40,440 --> 00:05:42,320 Speaker 3: they were just like, I'm sorry. 123 00:05:42,160 --> 00:05:44,920 Speaker 2: We can't help you. These are not, you know, the 124 00:05:45,000 --> 00:05:46,560 Speaker 2: usual things we provide support with. 125 00:05:47,560 --> 00:05:49,840 Speaker 1: So I'm gonna show you a picture of the massive 126 00:05:49,960 --> 00:05:52,920 Speaker 1: snake that was lying on top of the dumpsterh. 127 00:05:54,200 --> 00:05:57,760 Speaker 2: Python. Yeah, so good news. 128 00:05:57,800 --> 00:06:00,919 Speaker 1: Police ended up calling a local guy as the reptile 129 00:06:01,040 --> 00:06:03,520 Speaker 1: Hunter in nearby Riverside, California. 130 00:06:03,920 --> 00:06:11,320 Speaker 2: He does all of the school's reptile has a ponytail. 131 00:06:11,160 --> 00:06:14,279 Speaker 1: He got there, captured the python and is now taking 132 00:06:14,320 --> 00:06:16,839 Speaker 1: good care of it after apparently somebody just put it 133 00:06:16,880 --> 00:06:21,560 Speaker 1: in the dumpster on a Tuesday. Just how many times 134 00:06:21,600 --> 00:06:24,320 Speaker 1: do we have to remind people don't dump your snakes 135 00:06:24,360 --> 00:06:28,000 Speaker 1: in the trash the toilet. 136 00:06:28,560 --> 00:06:29,600 Speaker 2: But comments came in. 137 00:06:29,680 --> 00:06:32,240 Speaker 1: One said I once thought my cat was a pillow, 138 00:06:32,279 --> 00:06:38,480 Speaker 1: but this is worse, much much worse. Another said, imagine 139 00:06:38,520 --> 00:06:41,880 Speaker 1: taking your trash out and the trash is watching you. 140 00:06:43,960 --> 00:06:47,680 Speaker 1: And finally, someone who goes by at dumpster Diva three 141 00:06:47,720 --> 00:06:51,440 Speaker 1: one four says plot twists. The python was just there 142 00:06:51,480 --> 00:06:58,560 Speaker 1: for the all you could eat rat buffete. 143 00:06:58,400 --> 00:07:00,960 Speaker 2: Pin drop that dumpster for your next barbecue. Brokah you 144 00:07:01,040 --> 00:07:01,600 Speaker 2: know where to go. 145 00:07:02,040 --> 00:07:05,600 Speaker 1: Those were your w TikTok like shot stories for the day. 146 00:07:05,640 --> 00:07:07,560 Speaker 2: We got your phone tap coming up right after this