1 00:00:00,120 --> 00:00:04,080 Speaker 1: This is a podcast from do wor now. 2 00:00:03,800 --> 00:00:09,480 Speaker 2: The WR Saturday Morning Show. Here's Larry Minty, Good morning. 3 00:00:09,560 --> 00:00:12,320 Speaker 2: Coming up this week on Saturday Morning, we remember a 4 00:00:12,480 --> 00:00:17,239 Speaker 2: hero from Staten Island staff sergeant Michael OLiS. He died 5 00:00:17,239 --> 00:00:21,279 Speaker 2: in action saving others in twenty thirteen, and now he 6 00:00:21,400 --> 00:00:26,439 Speaker 2: will posthumously be awarded the Medal of Honor by President Trump. 7 00:00:27,080 --> 00:00:32,320 Speaker 2: We'll talk with Michael Ollis's sister Kim. CNN's Joe Barelli, 8 00:00:32,479 --> 00:00:35,360 Speaker 2: former minority leader in the New York City Council, is 9 00:00:35,400 --> 00:00:40,360 Speaker 2: here to talk about ZURINMM Donnie's disastrous handling of last 10 00:00:40,400 --> 00:00:44,599 Speaker 2: week snowstorm. Rich Demiro from rich on Tech tells us 11 00:00:44,640 --> 00:00:49,760 Speaker 2: about Amazon's Alexa upgrade, and career advice expert Greg g 12 00:00:49,920 --> 00:00:54,480 Speaker 2: and Grande. We'll talk about AI's effect on the job market. 13 00:00:55,040 --> 00:00:58,960 Speaker 2: But first let's talk with Kim OLiS Loshivo. 14 00:00:59,240 --> 00:00:59,880 Speaker 3: I want to see you. 15 00:01:01,280 --> 00:01:08,000 Speaker 4: Yes, we love you every day. 16 00:01:08,440 --> 00:01:17,480 Speaker 2: YEA, let's do this man, Yeah yeah, bring them all. 17 00:01:17,319 --> 00:01:20,200 Speaker 5: Down, certainly? 18 00:01:20,360 --> 00:01:23,560 Speaker 3: Will Okay? 19 00:01:23,720 --> 00:01:24,720 Speaker 1: Thank you? 20 00:01:25,360 --> 00:01:28,720 Speaker 2: Wow. You could tell Trump loved that too. And that 21 00:01:28,840 --> 00:01:32,080 Speaker 2: person that was yelling. We have on the phone right now, 22 00:01:32,400 --> 00:01:39,080 Speaker 2: Kim Alice Locchiavo, sister of staff sergeant Michael alis Kim, 23 00:01:39,120 --> 00:01:41,440 Speaker 2: What came over you? To describe that moment? 24 00:01:42,120 --> 00:01:46,920 Speaker 5: Oh, just such validation. I was just so happy finally 25 00:01:47,040 --> 00:01:50,400 Speaker 5: that this country was recognizing the acts that my brother 26 00:01:50,680 --> 00:01:54,440 Speaker 5: had had, you know, put upon us for our freedoms 27 00:01:54,760 --> 00:01:59,520 Speaker 5: in this country. Thirteen long years of finally the federal 28 00:01:59,560 --> 00:02:03,240 Speaker 5: government finally actually saying, wow, thank you so much for 29 00:02:03,240 --> 00:02:05,680 Speaker 5: for helping us stay safe and helping us have the 30 00:02:05,680 --> 00:02:08,040 Speaker 5: freedoms and the choices that we have. And to me 31 00:02:08,120 --> 00:02:11,359 Speaker 5: that that was really like the most the profound and 32 00:02:11,840 --> 00:02:15,280 Speaker 5: exciting moment of my life for my brother. It's the 33 00:02:15,360 --> 00:02:16,680 Speaker 5: least that we could have done for him. 34 00:02:17,160 --> 00:02:20,480 Speaker 2: It was wonderful and through you, we were all able 35 00:02:20,560 --> 00:02:23,880 Speaker 2: to share that moment. That's what was so wonderful about it. 36 00:02:24,120 --> 00:02:26,720 Speaker 2: Did something just overtake you the moment and what you 37 00:02:26,760 --> 00:02:29,359 Speaker 2: were just talking about with your brother? Or is that 38 00:02:29,520 --> 00:02:29,800 Speaker 2: just you? 39 00:02:31,000 --> 00:02:32,560 Speaker 5: I think it's a little bit of both, you know, 40 00:02:32,600 --> 00:02:34,880 Speaker 5: I think. I mean, he's on my mind every single day. 41 00:02:35,480 --> 00:02:37,040 Speaker 5: You know, my family and I we work so hard 42 00:02:37,080 --> 00:02:39,280 Speaker 5: to make sure that we're living like him every single day. 43 00:02:39,280 --> 00:02:41,440 Speaker 5: And my children and you know, I'm a teacher, so 44 00:02:41,760 --> 00:02:47,160 Speaker 5: I'm constantly reinforcing Michael's actions to the world around me constantly. 45 00:02:47,560 --> 00:02:49,919 Speaker 2: Yeah, I just told the story of how he died, 46 00:02:50,000 --> 00:02:52,240 Speaker 2: but I guess more importantly is how he lived. Tell 47 00:02:52,320 --> 00:02:53,480 Speaker 2: us a little bit about your brother. 48 00:02:54,000 --> 00:02:56,040 Speaker 5: Oh, he was such a kind soul. He was a 49 00:02:56,120 --> 00:02:58,840 Speaker 5: helper since he was a little boy. He was full 50 00:02:58,840 --> 00:03:02,560 Speaker 5: of energy. The passion that he felt for the army 51 00:03:02,760 --> 00:03:06,399 Speaker 5: was since he could walk. My dad was a Vietnam vet. 52 00:03:06,480 --> 00:03:08,920 Speaker 5: He you know, he looked up to my dad talked 53 00:03:08,919 --> 00:03:12,359 Speaker 5: about Vietnam. He played the role of a soldier from 54 00:03:12,400 --> 00:03:14,680 Speaker 5: the time that he could walk. Would be coming home 55 00:03:14,680 --> 00:03:17,200 Speaker 5: from high school from the bus. He would be jumping 56 00:03:17,240 --> 00:03:20,040 Speaker 5: out of bushes with his like fatigues on that we 57 00:03:20,120 --> 00:03:22,120 Speaker 5: received from a friend that was in the National Guard, 58 00:03:22,440 --> 00:03:24,840 Speaker 5: and he would he would just play Army. It just 59 00:03:25,120 --> 00:03:28,560 Speaker 5: he fled green. That was that was his life. That 60 00:03:28,680 --> 00:03:31,240 Speaker 5: was his passion. I think that was his purpose on life. 61 00:03:31,240 --> 00:03:33,120 Speaker 5: And he was he was such a gift and he 62 00:03:33,160 --> 00:03:35,760 Speaker 5: would constantly help people as he you know, became a 63 00:03:35,800 --> 00:03:38,520 Speaker 5: young man, every any aspects of the of the world. 64 00:03:38,840 --> 00:03:42,040 Speaker 5: He people parked on the street, people in accidents on 65 00:03:42,080 --> 00:03:44,280 Speaker 5: Seaten Island. He would just you know, pull up and 66 00:03:44,640 --> 00:03:46,000 Speaker 5: help anytime. 67 00:03:45,640 --> 00:03:46,400 Speaker 1: That he could. 68 00:03:46,760 --> 00:03:50,160 Speaker 2: Well, you can tell from the story here, the story 69 00:03:50,200 --> 00:03:54,240 Speaker 2: of how he died, how he sacrificed himself to save others. 70 00:03:54,240 --> 00:03:56,360 Speaker 2: When you heard the story, I guess you weren't surprised 71 00:03:56,360 --> 00:03:56,680 Speaker 2: at all. 72 00:03:57,200 --> 00:04:01,000 Speaker 5: We were just, yes, not surprised at all. Obviously a 73 00:04:01,000 --> 00:04:05,320 Speaker 5: little disappointed. He had received the Audio Murphy Medal in 74 00:04:05,400 --> 00:04:10,080 Speaker 5: June of twenty thirteen, and his his you know, bosses 75 00:04:10,120 --> 00:04:12,280 Speaker 5: and his supervisors were telling him that he was going 76 00:04:12,320 --> 00:04:14,960 Speaker 5: to be sent home earlier, and then it was just 77 00:04:15,000 --> 00:04:18,160 Speaker 5: getting delayed. They were pushing him off all summer long. 78 00:04:18,240 --> 00:04:21,560 Speaker 5: So yes, we were not surprised. We knew that it 79 00:04:21,600 --> 00:04:24,160 Speaker 5: was in him to always be a helper, but yet 80 00:04:24,600 --> 00:04:26,960 Speaker 5: we wanted him back, right, We wanted him to be 81 00:04:27,000 --> 00:04:29,479 Speaker 5: able to come home early that year. So yeah, so 82 00:04:29,560 --> 00:04:32,000 Speaker 5: a little bit of jealousy and you know, sadness, but 83 00:04:32,240 --> 00:04:33,240 Speaker 5: for all good reasons. 84 00:04:33,320 --> 00:04:36,120 Speaker 2: But yeah, I'm sure you were devastated. But when you 85 00:04:36,120 --> 00:04:38,440 Speaker 2: were thinking about it, you think, my god, my brother's 86 00:04:38,480 --> 00:04:41,480 Speaker 2: a hero, and this is exactly what he's. The kind 87 00:04:41,520 --> 00:04:44,640 Speaker 2: of man he is that he would do something like this, 88 00:04:44,760 --> 00:04:46,920 Speaker 2: and that had to give you a little bit of solace. 89 00:04:47,240 --> 00:04:51,520 Speaker 2: And I can't believe they've waited this long to honor 90 00:04:51,600 --> 00:04:54,600 Speaker 2: him with the Medal of Honor. And so it took 91 00:04:54,640 --> 00:04:58,680 Speaker 2: Donald Trump winning re election and to do this for 92 00:04:58,839 --> 00:05:02,320 Speaker 2: your brother, and in a way, your support of him, 93 00:05:02,520 --> 00:05:05,279 Speaker 2: your love of him, has paid off because he got 94 00:05:05,279 --> 00:05:08,080 Speaker 2: into office and he was the only man that probably 95 00:05:08,080 --> 00:05:08,760 Speaker 2: would have done this. 96 00:05:09,839 --> 00:05:12,640 Speaker 5: Absolutely, I agree. I think he's a leader of action. 97 00:05:13,839 --> 00:05:16,520 Speaker 5: We are very much my family. We're leaders of action, 98 00:05:16,640 --> 00:05:19,200 Speaker 5: We're doers. My parents always told us to serve other people, 99 00:05:19,600 --> 00:05:23,320 Speaker 5: to help other people, and he's that president since in 100 00:05:23,360 --> 00:05:27,360 Speaker 5: my lifetime that has really he is action. He says 101 00:05:27,400 --> 00:05:29,159 Speaker 5: he's going to do something, he's actually going to do it. 102 00:05:29,240 --> 00:05:31,479 Speaker 5: He's a man of feeds, not words, just like my 103 00:05:31,520 --> 00:05:35,240 Speaker 5: brother's for Trump Company in the Army was is the 104 00:05:35,279 --> 00:05:37,039 Speaker 5: purpose was deeds, not words. 105 00:05:37,560 --> 00:05:39,560 Speaker 2: Are you looking forward to going down there and meeting 106 00:05:39,600 --> 00:05:40,200 Speaker 2: Donald Trump? 107 00:05:41,240 --> 00:05:45,359 Speaker 5: Absolutely, we're thrilled. We're excited or nervous all the fields 108 00:05:45,400 --> 00:05:45,839 Speaker 5: for sure. 109 00:05:46,800 --> 00:05:49,040 Speaker 2: Are we going to hear that again once you finally 110 00:05:49,040 --> 00:05:51,760 Speaker 2: meet Donald Trump that kind of excitement, Well. 111 00:05:51,720 --> 00:05:53,000 Speaker 5: I'm sure I'll be a little bit. 112 00:05:53,120 --> 00:05:53,560 Speaker 1: I'll be a. 113 00:05:53,560 --> 00:05:54,200 Speaker 5: Little bit more. 114 00:05:58,120 --> 00:06:02,240 Speaker 2: Oh please don't, please don't. We would love for you 115 00:06:02,320 --> 00:06:05,039 Speaker 2: to represent New York and Staten Island and to be 116 00:06:05,160 --> 00:06:07,240 Speaker 2: up there and just be as effusive as you were 117 00:06:07,240 --> 00:06:10,279 Speaker 2: on the phone, because everybody trusts me would understand. 118 00:06:10,800 --> 00:06:11,280 Speaker 1: Thank you. 119 00:06:11,800 --> 00:06:14,360 Speaker 2: That was wonderful and I'm so glad we got to 120 00:06:14,400 --> 00:06:16,440 Speaker 2: talk about your brother, and please would love to talk 121 00:06:16,440 --> 00:06:17,920 Speaker 2: to I have your Back. 122 00:06:17,960 --> 00:06:19,839 Speaker 5: You have to plug his book. We have a book 123 00:06:20,040 --> 00:06:22,000 Speaker 5: by Tom Slayo CLT. I have your Back. It was 124 00:06:22,040 --> 00:06:26,120 Speaker 5: published last year in Martin's Press is a publisher and 125 00:06:26,120 --> 00:06:27,080 Speaker 5: it's been selling out. 126 00:06:27,720 --> 00:06:28,960 Speaker 2: Really, I have your. 127 00:06:29,160 --> 00:06:29,920 Speaker 5: Story of Michael. 128 00:06:30,200 --> 00:06:31,200 Speaker 1: Can you have your back? 129 00:06:31,240 --> 00:06:31,840 Speaker 5: Tom Solao? 130 00:06:32,040 --> 00:06:32,920 Speaker 2: And where can you buy it? 131 00:06:33,360 --> 00:06:36,000 Speaker 5: You can buy an Amazon, Bornes and Nobles, you can 132 00:06:36,000 --> 00:06:38,320 Speaker 5: go right to the publisher at Selfsey Martin's Press. It's 133 00:06:38,320 --> 00:06:38,719 Speaker 5: all over. 134 00:06:39,040 --> 00:06:42,839 Speaker 2: Kim Ola Soshivo, sister of National Hero and soon to 135 00:06:42,880 --> 00:06:45,920 Speaker 2: be Medal of Honor recipient. When we come back, Rich 136 00:06:45,960 --> 00:06:49,080 Speaker 2: DeMuro from rich On Tech has some tips if you're 137 00:06:49,120 --> 00:06:51,880 Speaker 2: thinking about running out and getting a new TV for 138 00:06:51,960 --> 00:06:55,960 Speaker 2: the Super Bowl. That's next on Saturday morning. Back now 139 00:06:56,040 --> 00:06:59,760 Speaker 2: to the w R Saturday Morning Show with Larry Minty. 140 00:07:00,279 --> 00:07:03,800 Speaker 2: Welcome back. Well, if your dog ever gets lost, there's 141 00:07:03,920 --> 00:07:07,839 Speaker 2: new technology that can help find him or her. Rich 142 00:07:07,880 --> 00:07:11,600 Speaker 2: DeMuro from rich On Tech explains, Good morning to you rich. 143 00:07:11,720 --> 00:07:15,520 Speaker 2: So what are the tips on buying a great television 144 00:07:15,720 --> 00:07:17,480 Speaker 2: by the way, at a great price? 145 00:07:17,920 --> 00:07:20,840 Speaker 3: Oh my gosh, I cannot believe the prices I'm seeing 146 00:07:20,920 --> 00:07:23,840 Speaker 3: right now. I was in a TV store and I'm 147 00:07:23,880 --> 00:07:28,600 Speaker 3: talking a ninety eight inch TV for under two thousand dollars. 148 00:07:28,680 --> 00:07:31,360 Speaker 3: I thought it was mismarked. That's how cheap it was. 149 00:07:31,440 --> 00:07:33,680 Speaker 3: I mean, still expensive when you think about TVs. People 150 00:07:33,680 --> 00:07:36,440 Speaker 3: are buying him for five hundred dollars now. But first, 151 00:07:36,520 --> 00:07:39,000 Speaker 3: let me just back up. So Super Bowl is this weekend. 152 00:07:39,120 --> 00:07:40,880 Speaker 3: I know a lot of people want to upgrade for 153 00:07:40,960 --> 00:07:43,880 Speaker 3: the first time. It's going to be streaming in four 154 00:07:44,000 --> 00:07:47,320 Speaker 3: k HDR, which is amazing. It's going to look great. 155 00:07:47,440 --> 00:07:49,560 Speaker 3: It's gonna be on Peacock this year, not to be 156 00:07:49,720 --> 00:07:53,280 Speaker 3: like last year. And the big difference is Peacock you 157 00:07:53,360 --> 00:07:55,720 Speaker 3: have to be on a paid plan if you want 158 00:07:55,720 --> 00:07:57,560 Speaker 3: to stream the super Bowl, not like last year it 159 00:07:57,600 --> 00:07:59,480 Speaker 3: was on to be for free. So that's number one. 160 00:08:00,320 --> 00:08:02,760 Speaker 3: If you have it on cable TV or a live 161 00:08:02,760 --> 00:08:05,640 Speaker 3: streaming service like YouTube TV, you'll be just fine. You'll 162 00:08:05,640 --> 00:08:08,280 Speaker 3: get it there too, so and of course antenna over 163 00:08:08,320 --> 00:08:11,000 Speaker 3: the air you can do that. So Larry, when it 164 00:08:11,000 --> 00:08:13,800 Speaker 3: comes to these TVs, what are we looking at? Number one, 165 00:08:13,880 --> 00:08:18,560 Speaker 3: the cheat code is mini LED. If you see that 166 00:08:18,760 --> 00:08:21,440 Speaker 3: on the box, you are getting a good set. We 167 00:08:21,480 --> 00:08:24,520 Speaker 3: talked about this on my radio show, and experts I 168 00:08:24,520 --> 00:08:27,880 Speaker 3: spoke to said that is the best technology you want 169 00:08:27,880 --> 00:08:31,120 Speaker 3: to look for right now. You think about that, everything 170 00:08:31,120 --> 00:08:33,719 Speaker 3: else falls into place. The TV's to get under five 171 00:08:33,800 --> 00:08:36,840 Speaker 3: hundred bucks TCL. They have a great set, the QM 172 00:08:36,960 --> 00:08:41,680 Speaker 3: five K under one thousand dollars TCL. Again, the QM 173 00:08:41,760 --> 00:08:45,319 Speaker 3: six K eighty five inches for under one thousand or what. 174 00:08:45,480 --> 00:08:48,600 Speaker 3: I have the high sense. They also have the U six. 175 00:08:48,640 --> 00:08:50,480 Speaker 3: I have a little different model, but the U six 176 00:08:50,600 --> 00:08:53,120 Speaker 3: is a great model as well. I have had zero 177 00:08:53,200 --> 00:08:55,520 Speaker 3: problems with that TV. Everyone that comes over says, I 178 00:08:55,520 --> 00:08:57,560 Speaker 3: cannot believe how good this looks, and I think I 179 00:08:57,600 --> 00:08:59,080 Speaker 3: paid under one thousand bucks for it. 180 00:08:59,520 --> 00:09:02,960 Speaker 2: You know, one big tip that I've found out from 181 00:09:03,000 --> 00:09:06,160 Speaker 2: my daughter because she wants to get a big screen TV, 182 00:09:06,559 --> 00:09:08,880 Speaker 2: is to measure your wall space first. 183 00:09:11,240 --> 00:09:14,320 Speaker 3: That is a good one, because here's the thing. It 184 00:09:14,440 --> 00:09:14,800 Speaker 3: used to be. 185 00:09:14,880 --> 00:09:15,160 Speaker 4: Larry. 186 00:09:15,200 --> 00:09:17,240 Speaker 3: You remember when these things first came out. Forty two 187 00:09:17,240 --> 00:09:20,679 Speaker 3: inches was amazing, Then it was fifty five, then sixty 188 00:09:20,720 --> 00:09:24,640 Speaker 3: five now people want like seventy five to eighty five 189 00:09:25,400 --> 00:09:28,040 Speaker 3: inch TVs. Here's the deal. I don't know about you, 190 00:09:28,080 --> 00:09:30,400 Speaker 3: but my mom always said growing up, you can't sit 191 00:09:30,480 --> 00:09:33,319 Speaker 3: close to the TV. Throw that out the window. It's 192 00:09:33,360 --> 00:09:36,240 Speaker 3: a different technology. Now you actually can sit a lot closer, 193 00:09:36,440 --> 00:09:39,400 Speaker 3: but you still need to take into consideration the space 194 00:09:39,480 --> 00:09:41,240 Speaker 3: you have. You can't. You know, you don't want your 195 00:09:41,280 --> 00:09:43,080 Speaker 3: TV bigger than your entire living room. 196 00:09:43,440 --> 00:09:45,960 Speaker 2: Yeah, it gets silly, it gets ridiculous. I think people 197 00:09:46,000 --> 00:09:47,920 Speaker 2: here like what you just said. When you were going 198 00:09:47,920 --> 00:09:51,080 Speaker 2: through all the sizes. People get excited about that. They 199 00:09:51,200 --> 00:09:54,720 Speaker 2: want to have a movie experience, but sometimes it just 200 00:09:54,800 --> 00:09:57,640 Speaker 2: doesn't work in your house. That's a big deal. 201 00:09:58,120 --> 00:10:00,920 Speaker 3: I went from a fifty five to is sixty five, 202 00:10:01,280 --> 00:10:04,080 Speaker 3: and even though it doesn't sound like a huge increase, 203 00:10:04,360 --> 00:10:08,440 Speaker 3: it is very considerably larger on my wall than the 204 00:10:08,480 --> 00:10:10,880 Speaker 3: fifty five inch was. And it's perfect. I mean, could 205 00:10:10,880 --> 00:10:13,680 Speaker 3: I have gone seventy five maybe, But you know it's 206 00:10:13,760 --> 00:10:16,480 Speaker 3: it's at some point it's overkill. But that's what people want. 207 00:10:16,520 --> 00:10:18,840 Speaker 3: They want Bigger is better. We live in America, that's 208 00:10:18,880 --> 00:10:19,520 Speaker 3: what people want. 209 00:10:19,679 --> 00:10:23,040 Speaker 2: So Amazon is now rolling out this new Alexa Plus. 210 00:10:23,200 --> 00:10:26,800 Speaker 2: Is it that much superior to Alexa before. 211 00:10:27,320 --> 00:10:27,719 Speaker 4: It is. 212 00:10:27,960 --> 00:10:32,760 Speaker 3: It is much better, much more natural, understands your commands 213 00:10:33,000 --> 00:10:36,640 Speaker 3: much better than before. It has much more knowledge than before. 214 00:10:36,960 --> 00:10:41,600 Speaker 3: So think of it as Chat GBT now infused into Alexa. 215 00:10:41,760 --> 00:10:43,959 Speaker 3: So if you want to get this, it's free for 216 00:10:44,080 --> 00:10:46,520 Speaker 3: Prime members. You got one of these speakers at your house, 217 00:10:46,800 --> 00:10:48,960 Speaker 3: you can actually just ask it to upgrade. I'm not 218 00:10:48,960 --> 00:10:50,559 Speaker 3: gonna say that. I'm not gonna say the whole thing, 219 00:10:50,800 --> 00:10:54,199 Speaker 3: but you just say Alex A upgrade to alex A 220 00:10:54,440 --> 00:10:56,960 Speaker 3: plus and you you know, use the real term there. 221 00:10:57,120 --> 00:10:59,440 Speaker 3: But once you do that, it will help you upgrade 222 00:10:59,480 --> 00:11:01,600 Speaker 3: to the new Alexa Plus, which is going to be 223 00:11:01,600 --> 00:11:04,040 Speaker 3: a lot better. The only caveat here is if you 224 00:11:04,120 --> 00:11:06,600 Speaker 3: rely on Alexa for a whole bunch of smart devices 225 00:11:06,640 --> 00:11:07,920 Speaker 3: and things like that in your home where you have 226 00:11:07,920 --> 00:11:11,080 Speaker 3: a lot of complicated routines, I would be careful and 227 00:11:11,200 --> 00:11:14,000 Speaker 3: just make sure they're all compatible with the new service. 228 00:11:14,080 --> 00:11:15,920 Speaker 3: So if you do that, you might want to hold 229 00:11:15,960 --> 00:11:18,440 Speaker 3: off because they am getting some reports that people say 230 00:11:18,440 --> 00:11:21,320 Speaker 3: it doesn't all work. You know, so, but if not, 231 00:11:21,360 --> 00:11:23,560 Speaker 3: if you're just using it for casual things like timers 232 00:11:23,600 --> 00:11:27,120 Speaker 3: and asking questions, the upgrade is actually pretty good. 233 00:11:27,320 --> 00:11:28,800 Speaker 2: You know what, I'd love to know. I'd love to 234 00:11:28,920 --> 00:11:31,679 Speaker 2: know if when you just said that, if somebody was 235 00:11:31,800 --> 00:11:35,199 Speaker 2: listening in their living room or in their kitchen and 236 00:11:35,240 --> 00:11:38,280 Speaker 2: they had an Alexa there and you just upgraded their Alexa. 237 00:11:38,559 --> 00:11:39,120 Speaker 2: I hope not. 238 00:11:39,240 --> 00:11:41,440 Speaker 3: I hope I said alex A. I hope it didn't 239 00:11:41,480 --> 00:11:44,000 Speaker 3: catch that. But it is free for Prime members, So 240 00:11:44,040 --> 00:11:46,800 Speaker 3: if your Prime, it is free for everyone else. They're 241 00:11:46,880 --> 00:11:49,760 Speaker 3: charging twenty dollars, which I think is outrageous. I don't 242 00:11:49,840 --> 00:11:51,400 Speaker 3: know how many people are going to sign up for 243 00:11:51,440 --> 00:11:54,280 Speaker 3: that because twenty dollars times a year is two hundred 244 00:11:54,280 --> 00:11:56,560 Speaker 3: and forty. You can get this for free if you 245 00:11:56,600 --> 00:11:59,679 Speaker 3: pay for Prime, which is one one forty, So why 246 00:11:59,720 --> 00:12:03,280 Speaker 3: would you pay for standalone Alexa Plus? Please don't do that. 247 00:12:03,520 --> 00:12:05,280 Speaker 2: I love this next story and this is going to 248 00:12:05,320 --> 00:12:07,880 Speaker 2: be so important to so many people about if you 249 00:12:07,960 --> 00:12:11,240 Speaker 2: lose your pet, Ring has a new feature that can 250 00:12:11,280 --> 00:12:12,400 Speaker 2: help you find that pet. 251 00:12:12,600 --> 00:12:15,600 Speaker 3: Yeah, this is incredible. So Ring is using AI to 252 00:12:15,760 --> 00:12:18,920 Speaker 3: scan for lost dogs. They've been doing this now for 253 00:12:18,960 --> 00:12:21,839 Speaker 3: a couple of months, but it's been limited only to 254 00:12:21,920 --> 00:12:25,400 Speaker 3: people that have a Ring camera. But now they've opened 255 00:12:25,440 --> 00:12:28,439 Speaker 3: up this feature called Search Party to anyone in the US. 256 00:12:28,520 --> 00:12:30,840 Speaker 3: Even if you don't have a ring, doorbell or camera. 257 00:12:31,080 --> 00:12:32,880 Speaker 3: If your dog goes missing, all you have to do 258 00:12:32,920 --> 00:12:35,240 Speaker 3: is download the Ring app, upload your dog's picture, and 259 00:12:35,280 --> 00:12:37,840 Speaker 3: then it uses AI to scan your neighbors cameras and 260 00:12:37,880 --> 00:12:40,320 Speaker 3: it's all done privately. Your neighbors will get an alert 261 00:12:40,360 --> 00:12:42,120 Speaker 3: to say, hey, do you want to help out finding 262 00:12:42,120 --> 00:12:44,199 Speaker 3: this lost dog? Who's going to say no unless you 263 00:12:44,240 --> 00:12:46,240 Speaker 3: have a cold heart, and then yes, you can help 264 00:12:46,280 --> 00:12:49,920 Speaker 3: reunite these owners with their pets. Ring says they're reuniting 265 00:12:50,320 --> 00:12:53,400 Speaker 3: one dog a day since they've launched this thing. 266 00:12:53,800 --> 00:12:55,760 Speaker 2: You know, it's funny when you look at social medium 267 00:12:55,800 --> 00:12:59,240 Speaker 2: and you see all these cool things happening, like people 268 00:13:00,120 --> 00:13:05,000 Speaker 2: having conversations than they're both babies or characters or images 269 00:13:05,080 --> 00:13:08,719 Speaker 2: on social media, and nobody knows how to do it themselves. 270 00:13:08,760 --> 00:13:11,360 Speaker 2: What the tool is you need to do those things. 271 00:13:11,520 --> 00:13:14,520 Speaker 2: Let's start with the character images on social media. How 272 00:13:14,600 --> 00:13:16,400 Speaker 2: do you do that? What tools behind that? 273 00:13:16,720 --> 00:13:18,880 Speaker 3: Yeah, we call this the prompt. You need to know 274 00:13:18,920 --> 00:13:22,000 Speaker 3: what the prompt is. And this is a going viral 275 00:13:22,040 --> 00:13:25,120 Speaker 3: on CHATCHBT. If you've scrolled through social media, you've probably 276 00:13:25,160 --> 00:13:28,040 Speaker 3: seen your friends as a caricature This is a new 277 00:13:28,080 --> 00:13:29,959 Speaker 3: trend that's happening. So all you have to do if 278 00:13:29,960 --> 00:13:31,880 Speaker 3: you want to get in on it is upload a 279 00:13:31,920 --> 00:13:35,480 Speaker 3: photo of yourself into chatchybt and then paste in a 280 00:13:35,559 --> 00:13:39,480 Speaker 3: prompt that reads, create a caricature of me and my 281 00:13:39,720 --> 00:13:43,000 Speaker 3: job based on everything you know about me. Obviously, you 282 00:13:43,080 --> 00:13:45,040 Speaker 3: have to use chatchybt for a while for it to 283 00:13:45,120 --> 00:13:47,480 Speaker 3: understand what you do and who you are. But if 284 00:13:47,520 --> 00:13:49,520 Speaker 3: you don't and you just want to do this anyway, 285 00:13:49,679 --> 00:13:53,800 Speaker 3: you can say like I did, I said, I love movies, magic, running, tennis, travel, 286 00:13:54,120 --> 00:13:56,360 Speaker 3: and it will make this great characterture. You could see 287 00:13:56,400 --> 00:13:58,679 Speaker 3: mine on my Instagram at rich on Tech. It's a 288 00:13:58,720 --> 00:14:01,200 Speaker 3: lot of fun and so of course all your friends 289 00:14:01,240 --> 00:14:02,920 Speaker 3: are going to be uploading this. Now you know how 290 00:14:02,920 --> 00:14:04,599 Speaker 3: to make it, and you can see the prompt on 291 00:14:04,640 --> 00:14:06,080 Speaker 3: my Instagram as well. 292 00:14:06,200 --> 00:14:11,040 Speaker 2: Everybody. I have seen everybody's caricature. Did try it? 293 00:14:11,120 --> 00:14:11,560 Speaker 3: Yeah? 294 00:14:11,360 --> 00:14:12,240 Speaker 4: Yeah I haven't. 295 00:14:12,320 --> 00:14:15,319 Speaker 5: It's fun, I know, Larry, I mean, will do it? 296 00:14:15,520 --> 00:14:15,760 Speaker 1: Yeah? 297 00:14:15,800 --> 00:14:18,520 Speaker 2: You know what's really Larry, it's these things get old 298 00:14:18,559 --> 00:14:20,840 Speaker 2: real fast. Like I don't want to see any more 299 00:14:20,880 --> 00:14:23,880 Speaker 2: baby videos, some people talking like they are adults and 300 00:14:23,920 --> 00:14:26,360 Speaker 2: their little babies. I want to see no more of them. 301 00:14:26,960 --> 00:14:29,240 Speaker 2: You know, I mentioned that to you and the lead in, 302 00:14:29,640 --> 00:14:32,480 Speaker 2: but please don't tell me, and please don't tell the 303 00:14:32,520 --> 00:14:34,840 Speaker 2: audience how to make them, because I'm dead sick of them. 304 00:14:35,840 --> 00:14:35,880 Speaker 4: No. 305 00:14:36,040 --> 00:14:38,520 Speaker 3: I think that one's called emotional time travel. I think 306 00:14:38,560 --> 00:14:41,280 Speaker 3: that's called so weird. And I was talking about this 307 00:14:41,360 --> 00:14:44,040 Speaker 3: on TV today. It's like, who wants to It's like 308 00:14:44,280 --> 00:14:48,080 Speaker 3: yourself with your baby self. Yeah, that's right, we're living 309 00:14:48,080 --> 00:14:49,440 Speaker 3: in when we're making this stuff. 310 00:14:49,560 --> 00:14:52,320 Speaker 2: I just watched one where they had Donald Trump talking 311 00:14:52,360 --> 00:14:55,320 Speaker 2: to Caitlin Collins and they were both babies, and they 312 00:14:55,440 --> 00:14:58,000 Speaker 2: use the actual audio that was pretty. 313 00:14:57,960 --> 00:14:59,120 Speaker 3: They like each other back then. 314 00:14:59,480 --> 00:15:02,840 Speaker 2: No, they arguing, they had the exact they had the voices, 315 00:15:02,880 --> 00:15:05,120 Speaker 2: they had the fight that they had the other day 316 00:15:05,600 --> 00:15:08,800 Speaker 2: with a baby Trump and a baby Caitlin Collins. I 317 00:15:08,920 --> 00:15:15,440 Speaker 2: love your algorithm. Well, thanks so much, rich dmuro Rich 318 00:15:15,520 --> 00:15:17,720 Speaker 2: on tech has Heard Sunday nights from eight to eleven 319 00:15:17,760 --> 00:15:21,240 Speaker 2: pm on wr Rich is with us every Thursday at 320 00:15:21,360 --> 00:15:23,880 Speaker 2: nine thirty five. Make sure to sign up for his newsletter, 321 00:15:24,320 --> 00:15:28,160 Speaker 2: richontech dot TV. Thanks so much, rich Dot to you 322 00:15:28,200 --> 00:15:28,640 Speaker 2: next week. 323 00:15:28,840 --> 00:15:29,200 Speaker 1: Thank you. 324 00:15:30,000 --> 00:15:34,480 Speaker 2: CNN contributor and former New York City Council MINORITI leader says, 325 00:15:34,520 --> 00:15:38,000 Speaker 2: four years under zorin Mom Donnie is going to be 326 00:15:38,120 --> 00:15:42,600 Speaker 2: tough to take considering this start. So what does it 327 00:15:42,680 --> 00:15:45,440 Speaker 2: mean when your employer tells you that they're putting you 328 00:15:45,800 --> 00:15:50,200 Speaker 2: on a performance improvement plan? Career advice expert Greg g 329 00:15:50,360 --> 00:15:53,760 Speaker 2: and Grande says, it's not good. He's coming up on 330 00:15:53,880 --> 00:15:54,640 Speaker 2: Saturday morning. 331 00:15:55,960 --> 00:16:00,800 Speaker 4: Here again is Larry Manti with the WR Saturday Show. 332 00:16:01,280 --> 00:16:03,840 Speaker 2: Well, New York City Mayor Zor and Mom Donnie is 333 00:16:03,880 --> 00:16:07,760 Speaker 2: off to an awful start. Well things get any better. 334 00:16:08,440 --> 00:16:12,000 Speaker 2: They can't get much worse. Let's ask Joe Barelli, CNN 335 00:16:12,080 --> 00:16:16,040 Speaker 2: contributor and former minority leader in the New York City Council. 336 00:16:16,160 --> 00:16:19,880 Speaker 2: And let me start Joe by congratulating you. You are 337 00:16:20,040 --> 00:16:24,440 Speaker 2: all over my social media feed because of moments you've 338 00:16:24,480 --> 00:16:27,200 Speaker 2: had at CNN. You're getting to be one of the 339 00:16:27,240 --> 00:16:29,160 Speaker 2: stars of that paddle. Congrats. 340 00:16:29,600 --> 00:16:32,000 Speaker 1: I'm trying. It ain't because of my good looks. Let 341 00:16:32,000 --> 00:16:32,480 Speaker 1: me tell you that. 342 00:16:33,480 --> 00:16:36,840 Speaker 2: No, no, but you do take on liberals left and right. 343 00:16:36,920 --> 00:16:39,840 Speaker 2: It's fun to watch. Yeah, no, it is. It is 344 00:16:39,880 --> 00:16:43,000 Speaker 2: fun to watch. And I got to check my algorithm 345 00:16:43,040 --> 00:16:44,600 Speaker 2: because you were on it a little bit too much. 346 00:16:44,680 --> 00:16:47,160 Speaker 2: Don't take that, don't take offense. But man, you were 347 00:16:47,320 --> 00:16:49,440 Speaker 2: all over my social media feed. 348 00:16:49,800 --> 00:16:53,840 Speaker 1: I'll take it. But I'm also a contributor at Al Jazeera, 349 00:16:53,880 --> 00:16:55,840 Speaker 1: and forgive me today for the audio. I have to 350 00:16:55,840 --> 00:16:58,280 Speaker 1: be in my car today. But I'm also a contributor 351 00:16:58,280 --> 00:17:02,720 Speaker 1: at Al Jazeera, and I do an analysis of you know, Iran, Gaza, 352 00:17:02,840 --> 00:17:07,040 Speaker 1: Israel policy, US policy, and I checked today what you know, 353 00:17:07,119 --> 00:17:10,560 Speaker 1: Defense Minister Katz was saying, and it turns out he 354 00:17:10,600 --> 00:17:13,560 Speaker 1: had no idea and did not care what Zoorh Mamdani's 355 00:17:13,640 --> 00:17:16,840 Speaker 1: working group happened to say in you know, from the 356 00:17:16,840 --> 00:17:19,119 Speaker 1: Health Department. Okay, So I don't think it's going to 357 00:17:19,160 --> 00:17:23,560 Speaker 1: really affect any Israeli policy or Palestinian policy for that matter. 358 00:17:23,880 --> 00:17:26,800 Speaker 2: No, I don't think it is either. But it shows 359 00:17:26,840 --> 00:17:31,760 Speaker 2: you what's at the root of the mayoral staff and 360 00:17:31,800 --> 00:17:34,199 Speaker 2: the fact that he's hiring people that are like this 361 00:17:34,440 --> 00:17:38,479 Speaker 2: that's more disturbing. I figured that Israel doesn't care, and 362 00:17:38,720 --> 00:17:41,359 Speaker 2: I figure that nobody cares in the Middle East right now, 363 00:17:41,640 --> 00:17:44,199 Speaker 2: but we should care in this city. And the Jews 364 00:17:44,240 --> 00:17:47,440 Speaker 2: living in this city, who who even many of them 365 00:17:47,520 --> 00:17:51,040 Speaker 2: voted for him, thought that, oh that was his past, 366 00:17:51,119 --> 00:17:53,439 Speaker 2: that's not that's not going to happen now. Well it 367 00:17:53,520 --> 00:17:54,320 Speaker 2: is now. 368 00:17:54,440 --> 00:17:57,040 Speaker 1: Should he should care about spending tax money and time 369 00:17:57,160 --> 00:17:59,760 Speaker 1: on this, you know, rather than you know, a legion 370 00:18:00,240 --> 00:18:02,960 Speaker 1: outbreak in the Bronx or some or some real problem 371 00:18:03,040 --> 00:18:05,840 Speaker 1: that that's now actually on his desk to solve. I mean, 372 00:18:05,840 --> 00:18:07,840 Speaker 1: that's that's kind of what I would hope, you know, 373 00:18:07,880 --> 00:18:11,240 Speaker 1: even someone who wants to be optimistic on everybody in politics. 374 00:18:11,240 --> 00:18:13,800 Speaker 1: I don't wake up every day saying I hate zohamm 375 00:18:13,880 --> 00:18:15,440 Speaker 1: DONI or want him to fail. But that's what he 376 00:18:15,480 --> 00:18:16,359 Speaker 1: should be focusing on. 377 00:18:16,480 --> 00:18:20,160 Speaker 2: Good gun, No, I think you liked everybody else after 378 00:18:20,160 --> 00:18:23,080 Speaker 2: we got Elected's thought, Okay, let's hope the best for 379 00:18:23,119 --> 00:18:26,320 Speaker 2: the city. Let's hope that he's not who we thought 380 00:18:26,359 --> 00:18:30,520 Speaker 2: he was, that he surprises everybody. There's been no surprises. 381 00:18:31,359 --> 00:18:33,960 Speaker 2: As a matter of fact, it's worse than I thought 382 00:18:34,000 --> 00:18:37,720 Speaker 2: it was going to be. This bungling. This the fact 383 00:18:37,720 --> 00:18:42,200 Speaker 2: that so many people died in this snowstorm is abhorrent. 384 00:18:43,000 --> 00:18:44,440 Speaker 2: It is almost impeachable. 385 00:18:45,160 --> 00:18:48,320 Speaker 1: Yeah, because it's directly related to a decision he makes. 386 00:18:48,359 --> 00:18:52,720 Speaker 1: But you know, the city makes mistakes. There are people 387 00:18:52,800 --> 00:18:55,359 Speaker 1: dying in the city all the time. Government fails all 388 00:18:55,400 --> 00:18:58,840 Speaker 1: the time, not often are they the direct result of 389 00:18:58,880 --> 00:19:02,000 Speaker 1: a policy decision and that was thought out and made 390 00:19:02,560 --> 00:19:05,840 Speaker 1: and the consequences discarded, which is exactly what happened. I mean, 391 00:19:05,880 --> 00:19:08,440 Speaker 1: you heard Eric Adams in that Clippy play just before 392 00:19:08,480 --> 00:19:11,280 Speaker 1: I joined. I mean, he was someone that you at 393 00:19:11,359 --> 00:19:14,440 Speaker 1: least has experience in this field. Right, he was the mayor, 394 00:19:14,440 --> 00:19:16,680 Speaker 1: he was a police captain. He knows what happened when 395 00:19:16,680 --> 00:19:19,199 Speaker 1: you leave people out of the streets in extreme cold. 396 00:19:19,920 --> 00:19:22,400 Speaker 1: And the mayor could have thought had a more thought 397 00:19:22,440 --> 00:19:25,080 Speaker 1: out policy that hey, maybe we leave people on the 398 00:19:25,119 --> 00:19:27,639 Speaker 1: streets in the summer. Maybe maybe that's one thing, but 399 00:19:27,720 --> 00:19:31,000 Speaker 1: when it subs zero temperatures, when it's you know, an 400 00:19:31,080 --> 00:19:34,040 Speaker 1: Arctic tundra, maybe we have to just you know, make 401 00:19:34,080 --> 00:19:35,800 Speaker 1: people comply at that point. 402 00:19:36,000 --> 00:19:38,920 Speaker 2: Yeah, well, at least he learned from that. It seems 403 00:19:38,960 --> 00:19:41,880 Speaker 2: like he learned, and now he was getting people off 404 00:19:41,920 --> 00:19:43,800 Speaker 2: the street. So I'll give him some credit for that, 405 00:19:43,920 --> 00:19:47,119 Speaker 2: Except sixteen people died and everybody told you what was 406 00:19:47,160 --> 00:19:50,800 Speaker 2: going to happen. Now we have another case where a 407 00:19:50,880 --> 00:19:54,239 Speaker 2: police officer gets attacked with someone with a knife and 408 00:19:54,359 --> 00:19:57,160 Speaker 2: opens fire and he doesn't want him charge. He went 409 00:19:57,200 --> 00:20:00,359 Speaker 2: and visited him in the hospital. Look, I can feel 410 00:20:00,400 --> 00:20:03,320 Speaker 2: for that family. I understand that he has problems, but 411 00:20:03,359 --> 00:20:06,840 Speaker 2: a police officer's life was being threatened, and he's doubling 412 00:20:06,960 --> 00:20:10,880 Speaker 2: down now on sending health professionals on these cases. 413 00:20:11,760 --> 00:20:14,120 Speaker 1: First of all, there's a lot of gray area when 414 00:20:14,160 --> 00:20:17,200 Speaker 1: you look at the pretty shooting and the good shooting 415 00:20:17,240 --> 00:20:19,440 Speaker 1: that we all saw the videos of, right there is 416 00:20:19,520 --> 00:20:22,560 Speaker 1: some discussion to be had there about whether that was 417 00:20:22,600 --> 00:20:25,520 Speaker 1: you know, good policing actions involved. And you know, I 418 00:20:25,520 --> 00:20:28,160 Speaker 1: don't think those cops are guilty, but there's some discussion there. 419 00:20:28,640 --> 00:20:31,560 Speaker 1: When you watch the video of this particular shooting, it 420 00:20:31,680 --> 00:20:36,280 Speaker 1: is so fundamentally clear that that officer did everything he 421 00:20:36,359 --> 00:20:39,840 Speaker 1: could to not have to use deadly force. He even 422 00:20:39,920 --> 00:20:43,680 Speaker 1: retreated and closed the door, presumably to call in backup. 423 00:20:44,160 --> 00:20:46,880 Speaker 1: And it's absurd that the mayor is not treating this 424 00:20:47,080 --> 00:20:50,920 Speaker 1: cop as you know, somewhat of a hero who had 425 00:20:50,960 --> 00:20:54,600 Speaker 1: to make an unfortunate last minute decision. And this is 426 00:20:54,640 --> 00:20:56,879 Speaker 1: the problem with this idea that there needs to be 427 00:20:56,960 --> 00:21:00,520 Speaker 1: mental health counselors who respond to these incidents. Right, Yes, 428 00:21:00,920 --> 00:21:03,760 Speaker 1: I will agree with Mamdani that this person needs mental 429 00:21:03,760 --> 00:21:07,800 Speaker 1: health counseling, but that person who is going to first 430 00:21:07,920 --> 00:21:11,679 Speaker 1: encounter this person cannot be a social worker for this 431 00:21:11,880 --> 00:21:15,399 Speaker 1: exact reason. This came over as a mental health case 432 00:21:15,680 --> 00:21:18,840 Speaker 1: and the police responded, And this is a clear cut 433 00:21:19,160 --> 00:21:22,880 Speaker 1: example of why we have we have to have police 434 00:21:22,920 --> 00:21:29,240 Speaker 1: responding and not untrained, unarmed and unbody armored social workers. 435 00:21:29,480 --> 00:21:31,760 Speaker 2: And the idea that he thinks that this is a 436 00:21:31,800 --> 00:21:35,680 Speaker 2: good example of exactly what we need shows you how 437 00:21:35,720 --> 00:21:38,639 Speaker 2: his mind works. And it's Joe. This is to me, 438 00:21:39,160 --> 00:21:42,040 Speaker 2: that is the most concerning thing that he's going to 439 00:21:42,160 --> 00:21:45,920 Speaker 2: keep doubling down on insanity, that he believes what he 440 00:21:46,040 --> 00:21:48,360 Speaker 2: ran on. I guess we were all hoping he would 441 00:21:48,400 --> 00:21:51,159 Speaker 2: see reality once he got in. That ain't gonna happen. 442 00:21:51,680 --> 00:21:53,800 Speaker 1: Yeah, I mean, you know, I think the first dose 443 00:21:53,840 --> 00:21:55,840 Speaker 1: of that is actually going to hit him very soon 444 00:21:56,440 --> 00:22:00,159 Speaker 1: with the city budget, because twelve billion dollars, you know, 445 00:22:00,359 --> 00:22:02,439 Speaker 1: mayor Adams, whether you like it or not, you know, 446 00:22:02,480 --> 00:22:05,719 Speaker 1: he faced like two billion dollar gaps, three billion dollar gaps. 447 00:22:05,920 --> 00:22:10,240 Speaker 1: You can eliminate those gaps by you know, small cuts 448 00:22:10,240 --> 00:22:15,280 Speaker 1: and spending reprogram complained at that time about how you know, 449 00:22:15,400 --> 00:22:19,320 Speaker 1: quote unquote devastating those cuts were twelve billion dollars is 450 00:22:19,359 --> 00:22:23,080 Speaker 1: a real amount. No voodoo magic, no budget dance is 451 00:22:23,119 --> 00:22:26,639 Speaker 1: going to actually address that. And this mayor who ran 452 00:22:26,880 --> 00:22:30,760 Speaker 1: on a platform of free stuff for everyone, is actually 453 00:22:30,800 --> 00:22:33,840 Speaker 1: going to be, you know, an austerity mayor who has 454 00:22:33,880 --> 00:22:37,240 Speaker 1: to make significant cuts, who might have to have hiring freezers, 455 00:22:37,280 --> 00:22:39,600 Speaker 1: who might have to even have layoffs if things don't 456 00:22:39,640 --> 00:22:42,280 Speaker 1: get yet yet better. But that's the mayor he's he's 457 00:22:42,320 --> 00:22:44,119 Speaker 1: gonna have to be, whether he likes it or not, 458 00:22:44,200 --> 00:22:46,680 Speaker 1: because the math is the math, whether you're a democratic 459 00:22:46,720 --> 00:22:48,800 Speaker 1: socialist or a moderate Democrat or anyone. 460 00:22:49,080 --> 00:22:52,480 Speaker 2: All right, enjoy your time with Al Jazeera. Joe Burrelli, 461 00:22:52,560 --> 00:22:56,280 Speaker 2: Managing director Chartwell Strategy Group and former Minority leader of 462 00:22:56,320 --> 00:22:59,240 Speaker 2: the New York City Council. Coming up, Career advice expert 463 00:22:59,280 --> 00:23:03,160 Speaker 2: Greg GM tells us the one thing that you never 464 00:23:03,280 --> 00:23:04,600 Speaker 2: want to hear from a boss. 465 00:23:05,760 --> 00:23:11,040 Speaker 1: Here's Larry Minty with more of the WOOR Saturday Morning Show. 466 00:23:11,080 --> 00:23:15,200 Speaker 2: Amazon and other major companies are cutting thousands of jobs. 467 00:23:15,760 --> 00:23:20,040 Speaker 2: Is AI to blame. Let's ask career advice expert Greg 468 00:23:20,080 --> 00:23:23,879 Speaker 2: G and Grande Greg. It's fascinating. Amazon and a lot 469 00:23:23,960 --> 00:23:28,359 Speaker 2: of other big companies are announcing big layoffs and a 470 00:23:28,359 --> 00:23:32,200 Speaker 2: lot of people are assuming that's AI related. Is that 471 00:23:32,480 --> 00:23:37,560 Speaker 2: if that's true, is it just Amazon and other big 472 00:23:37,640 --> 00:23:41,440 Speaker 2: tech companies or is it affecting other jobs and entry 473 00:23:41,520 --> 00:23:42,240 Speaker 2: level jobs? 474 00:23:42,840 --> 00:23:46,840 Speaker 4: For sure, it is more widespread than what we hear 475 00:23:46,880 --> 00:23:51,360 Speaker 4: about in the headlines. Lots of big public companies have 476 00:23:51,480 --> 00:23:56,359 Speaker 4: to make public announcements about their layoffs, and certainly a 477 00:23:56,800 --> 00:24:01,760 Speaker 4: company like Amazon is going to make lines, whereas one 478 00:24:01,800 --> 00:24:04,560 Speaker 4: of the tens of thousands of other companies that no 479 00:24:04,600 --> 00:24:08,280 Speaker 4: one has heard of. Even if they announce internally that 480 00:24:08,359 --> 00:24:11,600 Speaker 4: they're going to be conducting layoffs, no news organization is 481 00:24:11,640 --> 00:24:14,960 Speaker 4: going to pick it up. But many companies have been 482 00:24:15,040 --> 00:24:20,040 Speaker 4: trimming their resources. And it's only partially due to AI 483 00:24:20,240 --> 00:24:23,399 Speaker 4: and the you know, the advancements and technology certainly a 484 00:24:23,440 --> 00:24:27,359 Speaker 4: contributing factor. That's uh that no one would dispute that, 485 00:24:27,520 --> 00:24:32,720 Speaker 4: but it's it's there are other factors as well. Every 486 00:24:33,520 --> 00:24:38,440 Speaker 4: successful company, in order to sustain success, has to constantly 487 00:24:38,480 --> 00:24:43,320 Speaker 4: evaluate the marketplace and how they are deploying their capital. 488 00:24:43,440 --> 00:24:46,840 Speaker 4: Their financial capital and their human capital. Are they built 489 00:24:47,520 --> 00:24:51,080 Speaker 4: today for what the challenges and the opportunities and the 490 00:24:51,119 --> 00:24:53,760 Speaker 4: marketplace are today and for the next three to five years. 491 00:24:53,760 --> 00:24:57,639 Speaker 4: And if they haven't done that in the last five years, 492 00:24:57,680 --> 00:25:00,439 Speaker 4: well how they were built five years ago not be 493 00:25:00,560 --> 00:25:03,040 Speaker 4: how they need to be built going forward. So companies 494 00:25:03,080 --> 00:25:07,000 Speaker 4: go through this rigorous process of looking at their layers 495 00:25:07,080 --> 00:25:10,800 Speaker 4: and spans of control and how they're structured internally, and 496 00:25:10,840 --> 00:25:13,560 Speaker 4: what their hiring needs are going to be, and where 497 00:25:13,560 --> 00:25:17,640 Speaker 4: they're investing in teams, and so you get periodically these 498 00:25:17,720 --> 00:25:22,560 Speaker 4: kind of major organizational announcements of layoffs, partially due to 499 00:25:22,600 --> 00:25:26,439 Speaker 4: AI and the advancements and capabilities of technology, but just 500 00:25:26,520 --> 00:25:28,960 Speaker 4: partially due to all the other market factors. 501 00:25:29,560 --> 00:25:32,560 Speaker 2: It's happened so many times in our history. I think 502 00:25:32,600 --> 00:25:36,520 Speaker 2: we every time it does happen, we forget that, yes, 503 00:25:36,600 --> 00:25:40,320 Speaker 2: there's going to be advancements in technology and in manufacturing 504 00:25:40,560 --> 00:25:43,520 Speaker 2: and in the way, for instance, cars are built and 505 00:25:43,640 --> 00:25:47,600 Speaker 2: every single and robotics, and every single times that happens, 506 00:25:47,640 --> 00:25:50,320 Speaker 2: it seems to be there is this feeling of doom 507 00:25:50,359 --> 00:25:52,760 Speaker 2: and gloom, like, uh oh, there's gonna be a lot 508 00:25:52,800 --> 00:25:55,400 Speaker 2: of people out of work, and it seems like the 509 00:25:55,440 --> 00:25:59,360 Speaker 2: marketplace always is able to catch up to the technology, 510 00:25:59,680 --> 00:26:02,040 Speaker 2: even though there might be a big hit. This is 511 00:26:02,560 --> 00:26:05,320 Speaker 2: as old as the cotton gin. You know, It's happened 512 00:26:05,480 --> 00:26:09,119 Speaker 2: over and over and over again. But this one seems 513 00:26:09,119 --> 00:26:12,840 Speaker 2: a little bit different. You talk to people all the time, 514 00:26:13,640 --> 00:26:14,240 Speaker 2: is it different? 515 00:26:14,600 --> 00:26:21,359 Speaker 4: You're right, Well, it feels different because the pace of 516 00:26:21,600 --> 00:26:26,200 Speaker 4: the change is far more rapid than ever before, and 517 00:26:26,400 --> 00:26:30,199 Speaker 4: the disruption because of the technology and how fast the 518 00:26:30,280 --> 00:26:35,359 Speaker 4: capabilities are growing. That's why it feels different this time. 519 00:26:35,440 --> 00:26:38,360 Speaker 4: And you go back years back. Even with just the Internet, 520 00:26:38,560 --> 00:26:42,560 Speaker 4: like twenty five years ago, it still took years for 521 00:26:42,960 --> 00:26:47,320 Speaker 4: companies and industries to adapt and really take advantage of 522 00:26:47,320 --> 00:26:50,399 Speaker 4: that capability, so it didn't feel like it was sudden 523 00:26:50,440 --> 00:26:53,119 Speaker 4: and overnight. And with AI, it feels like, wow, we 524 00:26:53,119 --> 00:26:56,000 Speaker 4: were just talking about AI and now it's disrupting everything. 525 00:26:56,040 --> 00:26:59,960 Speaker 4: It's because the capabilities are so great and happening so fast. 526 00:27:00,400 --> 00:27:01,560 Speaker 4: Let's think it's important. 527 00:27:01,960 --> 00:27:02,320 Speaker 2: Good. 528 00:27:02,480 --> 00:27:04,600 Speaker 4: Yeah, I was just gonna say I think it's important 529 00:27:04,640 --> 00:27:08,359 Speaker 4: for people to understand that, you know, one of the 530 00:27:08,359 --> 00:27:12,399 Speaker 4: ways to think about how you can protect yourself as 531 00:27:12,480 --> 00:27:15,199 Speaker 4: much as you can and to avoid a layoff is 532 00:27:15,240 --> 00:27:18,040 Speaker 4: to really be in tune and and sync with what 533 00:27:18,119 --> 00:27:20,439 Speaker 4: are the priorities of the company, and how can I 534 00:27:20,560 --> 00:27:25,879 Speaker 4: make myself as indispensable as possible for what the company needs. 535 00:27:25,600 --> 00:27:26,400 Speaker 2: And wants to do? 536 00:27:26,480 --> 00:27:31,040 Speaker 4: Going forward and maintain visibility, be a champion of the 537 00:27:31,080 --> 00:27:35,359 Speaker 4: company culture and strategy. Be great at what you do, 538 00:27:36,200 --> 00:27:39,000 Speaker 4: and be visible, positive, and visible. 539 00:27:39,160 --> 00:27:41,080 Speaker 2: You answered the question I was going to ask. So 540 00:27:41,160 --> 00:27:44,719 Speaker 2: let's go to the Greg e mailbox. Here we go. 541 00:27:44,920 --> 00:27:48,199 Speaker 2: My boss recently said they were putting me on a 542 00:27:48,320 --> 00:27:54,280 Speaker 2: performance improvement plan outlining the things I need to do better. 543 00:27:54,800 --> 00:27:58,160 Speaker 2: I am new to the workforce and still learning, and 544 00:27:58,240 --> 00:28:02,520 Speaker 2: I am confident I can adapt and learn. But is 545 00:28:02,600 --> 00:28:07,560 Speaker 2: a performance improvement plan common for new hires who are learning? 546 00:28:07,960 --> 00:28:10,879 Speaker 2: Or is my job in jeopardy? Great question? 547 00:28:11,800 --> 00:28:15,760 Speaker 4: It is a great question, and the odds are that 548 00:28:16,119 --> 00:28:19,800 Speaker 4: this early career person is going to learn something new 549 00:28:20,200 --> 00:28:23,639 Speaker 4: that a performance improvement plan is really a misnomer. And 550 00:28:23,920 --> 00:28:28,280 Speaker 4: everybody talks about this privately. Everybody makes fun of the name. 551 00:28:28,840 --> 00:28:32,680 Speaker 4: They should change the name. Every manager, every HR person 552 00:28:33,119 --> 00:28:36,639 Speaker 4: a performance improvement plan. And I say this anecdotally, but 553 00:28:36,840 --> 00:28:41,240 Speaker 4: I bet statistically it's not far off. At least ninety 554 00:28:41,400 --> 00:28:44,480 Speaker 4: percent of employees who are put on a performance improvement 555 00:28:44,520 --> 00:28:50,320 Speaker 4: plan exit the company within that year, either voluntarily or 556 00:28:50,360 --> 00:28:55,440 Speaker 4: involuntarily what And that's because a performance improvement plan really 557 00:28:55,520 --> 00:29:00,560 Speaker 4: means the company is not happy with your performance and 558 00:29:00,640 --> 00:29:04,880 Speaker 4: they are documenting what they're not happy about and what 559 00:29:05,000 --> 00:29:08,560 Speaker 4: you need to do to improve in order to save 560 00:29:08,680 --> 00:29:12,600 Speaker 4: your job. Which is different from a normal development plan 561 00:29:12,720 --> 00:29:14,920 Speaker 4: that you might give to employees for how they can 562 00:29:15,000 --> 00:29:19,600 Speaker 4: learn and grow and advance their skills. This is we 563 00:29:19,760 --> 00:29:23,360 Speaker 4: have had discussions about you not performing well. Now I'm 564 00:29:23,400 --> 00:29:27,920 Speaker 4: going to document it, and if things don't change pretty dramatically, 565 00:29:27,960 --> 00:29:30,040 Speaker 4: you are likely to lose your job in the next 566 00:29:30,080 --> 00:29:33,360 Speaker 4: thirty sixty ninety days. That's the dirty little secret about 567 00:29:33,360 --> 00:29:34,840 Speaker 4: performance improvement plans. 568 00:29:35,360 --> 00:29:38,240 Speaker 2: Well, that was a surprise ending. Well, we'll talk more 569 00:29:38,240 --> 00:29:41,040 Speaker 2: about this. Greg Gi and Grande Career advice expert with 570 00:29:41,120 --> 00:29:43,680 Speaker 2: us every Wednesday at nine thirty five. Thanks a lot, Greg. 571 00:29:44,120 --> 00:29:47,000 Speaker 2: That wraps up Saturday Morning for this week. Thanks for listening, 572 00:29:47,000 --> 00:29:50,080 Speaker 2: and thanks to Natalie Vaka and Peter Aerolano for putting 573 00:29:50,120 --> 00:29:52,920 Speaker 2: the show together every week. Have a great rest of 574 00:29:52,960 --> 00:29:56,560 Speaker 2: your weekend. This has been a podcast from WOI