1 00:00:00,520 --> 00:00:04,840 Speaker 1: It's nice eye, Dan Ray. I'm going you easy Boston's 2 00:00:04,880 --> 00:00:05,840 Speaker 1: News Radio. 3 00:00:07,000 --> 00:00:10,280 Speaker 2: Before Welcome on in everyone. It is that Tuesday night. 4 00:00:10,400 --> 00:00:14,000 Speaker 2: As we head through the night, I guess the weather's 5 00:00:14,040 --> 00:00:16,920 Speaker 2: going to get a little rough around here the next 6 00:00:16,960 --> 00:00:21,520 Speaker 2: couple of days. Nothing like what our friends and family 7 00:00:21,560 --> 00:00:25,200 Speaker 2: members are undergoing in Jamaica. And I don't know how 8 00:00:25,200 --> 00:00:27,479 Speaker 2: many friends or family members we have for Cuba, but 9 00:00:27,880 --> 00:00:30,680 Speaker 2: it's going to sweep up past this big storm, Melissa. 10 00:00:30,760 --> 00:00:33,839 Speaker 2: So no matter what happens to us Wednesday and Thursday, 11 00:00:33,880 --> 00:00:36,040 Speaker 2: it'll be nothing and compared to what the poor people 12 00:00:36,080 --> 00:00:39,120 Speaker 2: in Jamaica have been suffering through in the last few hours, 13 00:00:39,159 --> 00:00:40,800 Speaker 2: and our thoughts some prayers should be with them. My 14 00:00:40,880 --> 00:00:43,400 Speaker 2: name is Dan Ray and the host of Nightside, heard 15 00:00:43,440 --> 00:00:46,880 Speaker 2: every Monday through Friday night right here on WBZ, Boston's 16 00:00:47,000 --> 00:00:51,280 Speaker 2: news Radio. With me tonight again, Rob Brooks continues his 17 00:00:51,720 --> 00:00:54,640 Speaker 2: well deserve vacation and Shane Stokes that did a great 18 00:00:54,720 --> 00:00:57,600 Speaker 2: job for us last night, is all set to deal 19 00:00:57,680 --> 00:01:01,160 Speaker 2: with Nightside program number two this week on Tuesday night. 20 00:01:01,200 --> 00:01:04,400 Speaker 2: Welcome back, Shane and Shane will take your phone calls 21 00:01:04,760 --> 00:01:07,560 Speaker 2: after nine o'clock. In the first hour, we talked with 22 00:01:07,600 --> 00:01:10,640 Speaker 2: the four interesting guests, and we do have four interesting 23 00:01:10,680 --> 00:01:17,440 Speaker 2: guests tonight. They they're always kind of a polperrie that 24 00:01:17,680 --> 00:01:22,039 Speaker 2: Marita puts together. So let's give you a quick rundown. 25 00:01:22,040 --> 00:01:24,679 Speaker 2: I'm going to talk with Stephanie Brindley, she's the president 26 00:01:24,720 --> 00:01:27,360 Speaker 2: and CEO, the new president and CEO of zun New England. 27 00:01:27,360 --> 00:01:32,760 Speaker 2: I'm going to talk with a career expert about anxiety 28 00:01:32,840 --> 00:01:38,360 Speaker 2: levels here in Massachusetts. I guess they're AI anxiety anxiety, 29 00:01:39,240 --> 00:01:42,959 Speaker 2: so I guess people in Massachusetts are concerned about what 30 00:01:43,080 --> 00:01:47,600 Speaker 2: impact artificial intelligence might have. And then we're going to 31 00:01:47,600 --> 00:01:50,880 Speaker 2: talk about All Saints way in the North End, fascinating story. 32 00:01:50,920 --> 00:01:54,440 Speaker 2: And finally, last but not least, Gary Washburn, Great Boston 33 00:01:54,480 --> 00:01:58,000 Speaker 2: Globe Celtics reporter. I'm going to talk about the Celtics 34 00:01:58,040 --> 00:01:59,880 Speaker 2: starting off the season a little slowly, but it's a 35 00:02:00,240 --> 00:02:03,000 Speaker 2: it's a new roster, that's for sure. So we'll talk 36 00:02:03,040 --> 00:02:07,040 Speaker 2: a little sports, talk a little geography, talk a little 37 00:02:07,080 --> 00:02:10,680 Speaker 2: bit about about artificial intelligence and the anxiety that it 38 00:02:10,760 --> 00:02:15,000 Speaker 2: might bring on. But first Stephanie Brinley, the President and 39 00:02:15,160 --> 00:02:18,720 Speaker 2: CEO of Zoo New England, the new President and CEO 40 00:02:19,080 --> 00:02:22,560 Speaker 2: of Zoo New England, Stephanie, you have some big shoes 41 00:02:22,600 --> 00:02:25,240 Speaker 2: to fill in that position. Your predecessor had been there 42 00:02:25,280 --> 00:02:25,959 Speaker 2: a long time. 43 00:02:27,400 --> 00:02:31,799 Speaker 3: Oh yeah, no, absolutely, John is an absolute institution there. 44 00:02:31,960 --> 00:02:34,480 Speaker 3: And I won't say that I'm filling his shoes. I'm 45 00:02:34,480 --> 00:02:35,639 Speaker 3: coming in after him. 46 00:02:35,960 --> 00:02:38,760 Speaker 2: No, I understand. Now you come with a with a 47 00:02:38,800 --> 00:02:44,640 Speaker 2: great resume. And let's talk. When we say, uh, Zoo 48 00:02:44,680 --> 00:02:48,720 Speaker 2: New England, we're talking about more than the Franklin Park Zoo. 49 00:02:48,880 --> 00:02:54,200 Speaker 2: So so what will be your area of uh? You 50 00:02:54,200 --> 00:02:57,800 Speaker 2: your your kingdom if you will or you're you, you 51 00:02:57,880 --> 00:03:00,440 Speaker 2: deal not only with with Franklin Park but also with 52 00:03:00,600 --> 00:03:01,600 Speaker 2: us Stone Zoo. 53 00:03:01,440 --> 00:03:06,200 Speaker 3: Right, yeah, no, absolutely, yeah. Zoo New England oversees two 54 00:03:06,320 --> 00:03:10,320 Speaker 3: amazing facilities, the Franklin Park Zoo and the Stone Zoo 55 00:03:10,400 --> 00:03:14,240 Speaker 3: up in Stoneham. And that's really exciting for me to 56 00:03:14,320 --> 00:03:17,560 Speaker 3: be able to see these two facilities that are in 57 00:03:17,919 --> 00:03:22,440 Speaker 3: very different areas with different collections. But how do we 58 00:03:22,520 --> 00:03:27,160 Speaker 3: make a coherent story from the collections that they have 59 00:03:27,320 --> 00:03:30,920 Speaker 3: that there's a complementary collections and so that's just really 60 00:03:30,919 --> 00:03:31,640 Speaker 3: exciting for me. 61 00:03:32,120 --> 00:03:35,040 Speaker 2: Well, let's talk about right now. I think at this 62 00:03:35,200 --> 00:03:38,640 Speaker 2: time of year, are you still doing zoo lights at 63 00:03:38,640 --> 00:03:39,360 Speaker 2: Franklin Park. 64 00:03:40,800 --> 00:03:44,000 Speaker 3: Well, Boston Lights is currently going on at Franklin Park, 65 00:03:44,000 --> 00:03:45,960 Speaker 3: but this is your last week to be able to 66 00:03:46,000 --> 00:03:49,200 Speaker 3: see it. It actually closes on November second, so this 67 00:03:49,240 --> 00:03:51,960 Speaker 3: weekend is your last chance to get out there and 68 00:03:52,000 --> 00:03:56,400 Speaker 3: see it. We'll be launching zoo lights at Stone Zoo 69 00:03:56,480 --> 00:04:00,760 Speaker 3: starting on November fourteenth, so you didn't get a chance 70 00:04:00,800 --> 00:04:03,520 Speaker 3: to go to the lanterns, which are amazing by the way. 71 00:04:04,600 --> 00:04:08,040 Speaker 3: Then we will be doing zoo Lights at Stone Zoo 72 00:04:08,120 --> 00:04:09,440 Speaker 3: starting here in a couple of weeks. 73 00:04:09,720 --> 00:04:15,240 Speaker 2: Yeah, so they complementary, similar are identical because I have 74 00:04:15,400 --> 00:04:19,120 Speaker 2: been been to bolt Stone Zoo. We have my wife 75 00:04:19,160 --> 00:04:21,039 Speaker 2: and I have been to both Stone Zoo and also 76 00:04:21,480 --> 00:04:24,320 Speaker 2: the Franklin Park Zoo and I thought they called it 77 00:04:24,560 --> 00:04:30,880 Speaker 2: zoo lights and maybe I'm misremembered here at the Franklin 78 00:04:30,880 --> 00:04:31,400 Speaker 2: Park Zoo. 79 00:04:32,640 --> 00:04:35,560 Speaker 3: Yeah, no, it's it's called Boston Lights there because it 80 00:04:35,680 --> 00:04:39,960 Speaker 3: is it's a little bit different of a setup there. 81 00:04:41,240 --> 00:04:46,880 Speaker 3: At at Franklin Park Zoo, it is lanterns, right, big 82 00:04:46,960 --> 00:04:53,640 Speaker 3: Chinese lanterns with vignettes of animals, really really neat stuff. 83 00:04:54,400 --> 00:04:59,080 Speaker 3: And the zoo lights at Stone Zoo because Stone is 84 00:04:59,080 --> 00:05:02,360 Speaker 3: a little bit more intimate. It's just a winter wonderland 85 00:05:02,480 --> 00:05:04,280 Speaker 3: of Christmas lights. 86 00:05:04,760 --> 00:05:09,920 Speaker 2: Oh and how long will that light? Those lights? Do 87 00:05:10,040 --> 00:05:12,440 Speaker 2: they run through the holidays? I assume up up at 88 00:05:12,480 --> 00:05:13,159 Speaker 2: Stone Zoom. 89 00:05:14,040 --> 00:05:17,080 Speaker 3: Yes, absolutely, they run through the holidays. They'll be there 90 00:05:17,200 --> 00:05:18,760 Speaker 3: till right after the new year. 91 00:05:19,080 --> 00:05:21,839 Speaker 2: Oh great, Okay, And of course one of the things 92 00:05:21,839 --> 00:05:24,760 Speaker 2: that I rave about when I talk to people about 93 00:05:24,839 --> 00:05:26,479 Speaker 2: going to the zoo, and I was there a couple 94 00:05:26,520 --> 00:05:31,440 Speaker 2: of times this year is the home that was built 95 00:05:31,680 --> 00:05:35,760 Speaker 2: for the gorillas. It's amazing the access that you can 96 00:05:35,800 --> 00:05:39,080 Speaker 2: have to the gorillas. Now they're behind glass, or to 97 00:05:39,080 --> 00:05:41,479 Speaker 2: put it another the way, you're behind glass, so you 98 00:05:41,560 --> 00:05:45,000 Speaker 2: can't say hello, you know, or pepto or anything, but 99 00:05:45,080 --> 00:05:47,880 Speaker 2: you can get really up close and personal with the gorillas, 100 00:05:47,920 --> 00:05:49,760 Speaker 2: which is an amazing experience. 101 00:05:50,839 --> 00:05:53,680 Speaker 3: Yeah. No, it is truly an amazing experience. And to 102 00:05:53,720 --> 00:05:57,800 Speaker 3: be able to be so close to such powerful, intelligent 103 00:05:58,080 --> 00:06:01,800 Speaker 3: creatures and they have no problem looking at you, right, 104 00:06:01,920 --> 00:06:05,040 Speaker 3: and so just to be able to see that is 105 00:06:05,600 --> 00:06:07,680 Speaker 3: worth the trip to the zoo, just to be able 106 00:06:07,720 --> 00:06:08,920 Speaker 3: to look into their faces. 107 00:06:09,480 --> 00:06:11,480 Speaker 2: So tell us a little bit about yourself. All of 108 00:06:11,520 --> 00:06:15,240 Speaker 2: us on my program, you know know John Lenahan and 109 00:06:15,320 --> 00:06:19,560 Speaker 2: his experience. There are you new to New England or 110 00:06:19,880 --> 00:06:24,320 Speaker 2: you certainly I'm sure and not new to the zoological 111 00:06:24,360 --> 00:06:26,760 Speaker 2: world right now. 112 00:06:27,880 --> 00:06:31,520 Speaker 3: I am new to New England, so very excited to 113 00:06:31,520 --> 00:06:34,240 Speaker 3: move up to this area. My prior job, though, I 114 00:06:34,360 --> 00:06:38,279 Speaker 3: was the deputy director at Smithsonian's National Zoo and Conservation 115 00:06:38,360 --> 00:06:42,520 Speaker 3: Biology Institute in Washington, d C. And so I do have, 116 00:06:43,080 --> 00:06:48,720 Speaker 3: you know, experience in running a major AZA Association of 117 00:06:48,760 --> 00:06:50,920 Speaker 3: Zoos and Aquariums accredited institution. 118 00:06:52,040 --> 00:06:56,599 Speaker 2: Well, welcome to Boston. I think you're going to New England. 119 00:06:56,680 --> 00:06:59,680 Speaker 2: I think you're going to love it. Let me give 120 00:06:59,680 --> 00:07:02,720 Speaker 2: you an opportunity to make what we would probably call 121 00:07:02,800 --> 00:07:07,279 Speaker 2: a thirty or forty five second elevator pitch to anyone 122 00:07:07,360 --> 00:07:10,360 Speaker 2: who has never been to either Franklin Park or the 123 00:07:10,600 --> 00:07:13,080 Speaker 2: Stone Zoo. Because obviously, if you've been to either, you 124 00:07:13,120 --> 00:07:14,840 Speaker 2: want to go to the other, and if you've been 125 00:07:14,920 --> 00:07:16,880 Speaker 2: to both, you want to come back. But there may 126 00:07:16,920 --> 00:07:19,480 Speaker 2: be people in our audience who have never had the 127 00:07:19,560 --> 00:07:22,520 Speaker 2: opportunity to visit Franklin Park and or a Stone Zoo. 128 00:07:23,680 --> 00:07:26,200 Speaker 2: Let's have your pitch. What would you be talking to 129 00:07:26,240 --> 00:07:28,600 Speaker 2: them about if you were in an elevator ride for 130 00:07:28,640 --> 00:07:30,320 Speaker 2: thirty or forty five seconds? 131 00:07:30,880 --> 00:07:34,000 Speaker 3: Well, I would be talking about our amazing staff that 132 00:07:34,160 --> 00:07:40,480 Speaker 3: have such a passion ordering the stories. Frank Park and 133 00:07:40,520 --> 00:07:46,120 Speaker 3: at Stone Zoo. A conservation organization, we are deady to 134 00:07:46,240 --> 00:07:49,360 Speaker 3: seeing d species sparking inspiration. 135 00:07:49,960 --> 00:07:51,720 Speaker 4: Boy, you know what, I. 136 00:07:51,680 --> 00:07:54,360 Speaker 2: Don't know if you're in a car, but you're breaking 137 00:07:54,480 --> 00:07:54,960 Speaker 2: up on me. 138 00:07:56,320 --> 00:07:57,960 Speaker 3: Oh no, I'm sorry. 139 00:07:58,040 --> 00:08:00,960 Speaker 2: Yeah, well nothing about it moving around? Are you in 140 00:08:01,040 --> 00:08:01,960 Speaker 2: a car? 141 00:08:02,480 --> 00:08:05,120 Speaker 3: No, I'm not. Actually I didn't. I didn't move, so 142 00:08:05,480 --> 00:08:05,920 Speaker 3: you didn't. 143 00:08:05,920 --> 00:08:08,680 Speaker 2: Well, okay, just try it again real quickly here, I'll 144 00:08:08,680 --> 00:08:10,760 Speaker 2: give you one more shot at it. Just just just 145 00:08:10,840 --> 00:08:14,440 Speaker 2: plug a couple of things that might attract some some 146 00:08:14,520 --> 00:08:15,360 Speaker 2: new attendees. 147 00:08:16,600 --> 00:08:22,520 Speaker 3: Yeah, no, absolutely so. We are a conservation organization dedicated 148 00:08:22,600 --> 00:08:27,200 Speaker 3: to saving the species and inspiring joy. We have a 149 00:08:27,280 --> 00:08:32,720 Speaker 3: new male giraffe cast at Franklin Park Zoo, which would 150 00:08:32,760 --> 00:08:36,480 Speaker 3: be amazing to come out and see. And while we 151 00:08:36,520 --> 00:08:41,680 Speaker 3: redo our panda exhibit, our red panda exhibit at Franklin Park, Gimley, 152 00:08:41,679 --> 00:08:44,800 Speaker 3: our red panda is on vacation at Stone Zoo, so 153 00:08:44,960 --> 00:08:48,280 Speaker 3: folks can get a special showing of Gimli at the 154 00:08:48,320 --> 00:08:50,560 Speaker 3: Stone Zoo and visit him there. 155 00:08:50,880 --> 00:08:54,600 Speaker 2: Sounds great. Well, we'll talk many times in the future. Stephanie. 156 00:08:54,640 --> 00:08:58,120 Speaker 2: But Stephanie, welcome to New England. Stephanie Brindley. She's the 157 00:08:58,160 --> 00:09:03,280 Speaker 2: president and CEO of Zoom England, succeeding a great friend 158 00:09:03,280 --> 00:09:06,960 Speaker 2: of this program, John Lenahan. So Stephanie, congratulations. I know 159 00:09:07,000 --> 00:09:09,040 Speaker 2: you're going to be super in the job. And we'll 160 00:09:09,040 --> 00:09:11,600 Speaker 2: get as many people to Stone Zoo and Franklin Park 161 00:09:11,679 --> 00:09:15,680 Speaker 2: Zoo as possible so they can enjoy these two great facilities. 162 00:09:15,720 --> 00:09:17,200 Speaker 2: Thanks so much for joining us tonight. 163 00:09:18,160 --> 00:09:19,120 Speaker 3: Thank you for having me. 164 00:09:19,760 --> 00:09:22,960 Speaker 2: Welcome. When we get back, we're going to talk about 165 00:09:23,640 --> 00:09:31,280 Speaker 2: AI exit anxiety. I guess it's tough to pronounce. There's 166 00:09:31,360 --> 00:09:36,520 Speaker 2: a lot of anxiety related to the arrival of artificial intelligence. 167 00:09:37,000 --> 00:09:44,080 Speaker 2: Massachusetts ranks third in the US over AI job security concerns, 168 00:09:44,200 --> 00:09:45,920 Speaker 2: according to a new study. We're going to talk with 169 00:09:46,000 --> 00:09:50,760 Speaker 2: doctor Jasmine Escallera, she's a career expert, how we can 170 00:09:50,840 --> 00:09:54,840 Speaker 2: preps take that anxiety down just a little bit. Coming 171 00:09:54,920 --> 00:09:56,720 Speaker 2: back on Nightside right after this. 172 00:09:58,679 --> 00:10:04,240 Speaker 1: You're on night Side, Dan Ray on WBZ Boston's news radio. 173 00:10:04,800 --> 00:10:10,480 Speaker 2: All Right, everyone has heard about perhaps they don't understand, 174 00:10:10,559 --> 00:10:15,360 Speaker 2: but they've heard about artificial intelligence, and there's a lot 175 00:10:15,400 --> 00:10:19,439 Speaker 2: of concern as to what's of an impact artificial intelligence 176 00:10:19,880 --> 00:10:24,319 Speaker 2: might have dealing with job security? And I guess Massachusetts 177 00:10:24,360 --> 00:10:28,200 Speaker 2: now ranks third in the US for what I guess 178 00:10:28,200 --> 00:10:33,200 Speaker 2: should call AI anxiety with us as doctor Jasmine Escallera, 179 00:10:33,559 --> 00:10:38,160 Speaker 2: she's a career expert with Zeti zep Y, which is 180 00:10:38,200 --> 00:10:43,120 Speaker 2: a pro career site. Doctor Escallera, Why here in Massachusetts 181 00:10:43,160 --> 00:10:46,280 Speaker 2: are our anxiety levels so high? 182 00:10:46,880 --> 00:10:49,480 Speaker 5: Great question? So what we were able to do in 183 00:10:49,520 --> 00:10:52,760 Speaker 5: our Zetti report is really look at the states that 184 00:10:52,800 --> 00:10:56,839 Speaker 5: have the most AI anxiety, as you mentioned, specifically focused 185 00:10:56,920 --> 00:10:59,880 Speaker 5: around Google searches. What we were looking at was how 186 00:11:00,040 --> 00:11:03,600 Speaker 5: many employees in a particular state are searching for things 187 00:11:03,960 --> 00:11:09,000 Speaker 5: like job loss related to AI, and Massachusetts hit really high. 188 00:11:09,080 --> 00:11:11,320 Speaker 5: And the reason why we think that's the case is 189 00:11:11,400 --> 00:11:15,199 Speaker 5: because many of the states that are that have tech 190 00:11:15,400 --> 00:11:18,480 Speaker 5: or government hubs are the ones that are being hit 191 00:11:18,559 --> 00:11:22,440 Speaker 5: the hardest with AI anxiety and in particular AI job loss. 192 00:11:22,520 --> 00:11:25,480 Speaker 5: So Massachusetts ranked high because it is one of those 193 00:11:25,559 --> 00:11:29,560 Speaker 5: areas where tech, where government, and where AI might have 194 00:11:29,600 --> 00:11:30,800 Speaker 5: the most impact and effect. 195 00:11:31,080 --> 00:11:33,480 Speaker 2: Now I know there was some big layoffs today from 196 00:11:33,520 --> 00:11:38,480 Speaker 2: Amazon or layoffs announced from Amazon, how much of that 197 00:11:38,679 --> 00:11:42,480 Speaker 2: is related to AI? I still look at AI as 198 00:11:42,920 --> 00:11:48,880 Speaker 2: a concept and as a business model that's really just 199 00:11:48,960 --> 00:11:53,800 Speaker 2: kind of crawling at this point. Are we feeling an 200 00:11:53,840 --> 00:11:56,840 Speaker 2: actual impact at this point? Is the Are the Amazon 201 00:11:56,920 --> 00:11:58,600 Speaker 2: layoffs today related to AI? 202 00:12:00,080 --> 00:12:03,360 Speaker 5: We're not really sure if the Amazon layoffs in particular 203 00:12:03,400 --> 00:12:06,160 Speaker 5: are related to AI because they haven't really come out 204 00:12:06,200 --> 00:12:09,320 Speaker 5: and said specifically that they are. So a lot of 205 00:12:09,360 --> 00:12:11,880 Speaker 5: what they've been saying is that it's related to the pandemic, 206 00:12:11,920 --> 00:12:14,760 Speaker 5: and many companies did do a lot of boom hiring 207 00:12:14,840 --> 00:12:18,760 Speaker 5: during the pandemic, and unfortunately we're still feeling those massive layoffs. 208 00:12:18,840 --> 00:12:22,160 Speaker 5: But other companies have come out and specifically called out 209 00:12:22,280 --> 00:12:26,200 Speaker 5: AI and AI adoption and AI redundancy in terms of 210 00:12:26,280 --> 00:12:30,360 Speaker 5: particular roles as one of the major reasons for their layoffs. 211 00:12:31,040 --> 00:12:35,439 Speaker 2: So where do you see this going as a job professional? 212 00:12:35,480 --> 00:12:39,120 Speaker 2: And I'm sure you've studied it more than me. I remember, 213 00:12:39,960 --> 00:12:43,280 Speaker 2: you know when the AU might have remembered, but historically, 214 00:12:43,280 --> 00:12:50,360 Speaker 2: when the automobile stopped the horse and buggy industry and 215 00:12:50,440 --> 00:12:53,040 Speaker 2: everybody was considered, well, what are the blacksmiths going to do? 216 00:12:53,120 --> 00:12:56,320 Speaker 2: How many people does the car industry employ over the years, 217 00:12:56,360 --> 00:13:01,200 Speaker 2: many more, I guess than there were blacksmiths. The big 218 00:13:02,160 --> 00:13:07,080 Speaker 2: tech bubble in the nineteen nineties, there's so many more 219 00:13:07,160 --> 00:13:11,560 Speaker 2: jobs created, and my hope is that artificial intelligence will 220 00:13:11,600 --> 00:13:13,960 Speaker 2: create a lot of jobs. Maybe a lot of us 221 00:13:13,960 --> 00:13:19,360 Speaker 2: will be working more efficiently. But I'm an optimist on this. 222 00:13:19,480 --> 00:13:21,959 Speaker 2: I hope you share that optimism. But if you don't, 223 00:13:22,200 --> 00:13:23,120 Speaker 2: oh hit me. 224 00:13:23,280 --> 00:13:27,600 Speaker 5: I absolutely do. Yes, yes, yes, So our report is 225 00:13:27,840 --> 00:13:31,280 Speaker 5: not meant in any way to cause any hysteria around AI, 226 00:13:31,440 --> 00:13:33,440 Speaker 5: and in fact, we see a lot of that in 227 00:13:33,520 --> 00:13:37,439 Speaker 5: the media. But what we really want for professionals to know, 228 00:13:37,559 --> 00:13:40,240 Speaker 5: and I'm so glad you've brought up those different examples, 229 00:13:40,600 --> 00:13:43,599 Speaker 5: is that we have had many changes in the workplace 230 00:13:43,920 --> 00:13:47,839 Speaker 5: and many different adoptions of tools and infrastructure that has 231 00:13:47,960 --> 00:13:50,920 Speaker 5: changed the way we work for the better. I think 232 00:13:50,960 --> 00:13:54,240 Speaker 5: that all of the adoption of new tools always causes 233 00:13:54,320 --> 00:13:56,920 Speaker 5: a little bit of a disruption because we're just not 234 00:13:57,120 --> 00:14:00,280 Speaker 5: sure how things will level out. So when it comes 235 00:14:00,320 --> 00:14:05,360 Speaker 5: to AI, what professionals need to know is assess the 236 00:14:05,480 --> 00:14:10,080 Speaker 5: parts of your job that are highly automated or highly repetitive. 237 00:14:10,559 --> 00:14:13,880 Speaker 5: Have conversations with your company about how AI is going 238 00:14:13,920 --> 00:14:18,280 Speaker 5: to be adopted across your team and especially individually. At 239 00:14:18,320 --> 00:14:21,440 Speaker 5: your role and also talk to people in your industry 240 00:14:21,480 --> 00:14:24,960 Speaker 5: about how AI is being used. The idea here is 241 00:14:25,000 --> 00:14:28,600 Speaker 5: to know how AI will be adopted and to then 242 00:14:28,920 --> 00:14:32,680 Speaker 5: complement the usage of AI, either in your role or 243 00:14:32,720 --> 00:14:36,960 Speaker 5: in your industry. That may mean learning new skills, it 244 00:14:37,000 --> 00:14:40,360 Speaker 5: may mean shifting a bit, but that doesn't mean that 245 00:14:40,600 --> 00:14:43,080 Speaker 5: all of our jobs are going away because of AI. 246 00:14:43,560 --> 00:14:46,240 Speaker 5: It really means how do we start to adopt and 247 00:14:46,360 --> 00:14:50,400 Speaker 5: accept the change that's happening in the work world and 248 00:14:50,480 --> 00:14:52,320 Speaker 5: work alongside it. 249 00:14:52,360 --> 00:14:55,640 Speaker 2: Is it too early to have those conversations? I mean 250 00:14:55,720 --> 00:15:01,640 Speaker 2: I feel that some people will start to spend too 251 00:15:01,760 --> 00:15:05,160 Speaker 2: much time trying to talk to their their managers or 252 00:15:05,200 --> 00:15:08,640 Speaker 2: their bosses whatever were theyre use these days to describe 253 00:15:08,640 --> 00:15:13,400 Speaker 2: those individuals uh, and that the bosses might get a 254 00:15:13,400 --> 00:15:16,200 Speaker 2: little freaked out themselves. Are we too far ahead of 255 00:15:16,240 --> 00:15:17,760 Speaker 2: the curve or do you think this is the time 256 00:15:17,760 --> 00:15:19,400 Speaker 2: when those conversations should be had. 257 00:15:20,520 --> 00:15:23,640 Speaker 5: I think it really depends on your role in your industry. 258 00:15:23,840 --> 00:15:27,400 Speaker 5: There are particular kinds of positions that we're seeing bigger 259 00:15:27,440 --> 00:15:30,600 Speaker 5: disruption in terms of the usage of AI. AI, like, 260 00:15:30,640 --> 00:15:34,280 Speaker 5: for example, the customer service industry. We see that when 261 00:15:34,320 --> 00:15:37,200 Speaker 5: we go on websites. Now there are chatbots that come 262 00:15:37,280 --> 00:15:39,920 Speaker 5: up and ask us questions. We don't really ever get 263 00:15:39,920 --> 00:15:42,720 Speaker 5: a human when we call customer service anymore, for me, 264 00:15:44,040 --> 00:15:44,400 Speaker 5: by the. 265 00:15:44,320 --> 00:15:49,600 Speaker 2: Way, doctor, for me, that is a huge problem. And 266 00:15:50,120 --> 00:15:57,360 Speaker 2: I believe that companies that come back to human customer 267 00:15:57,480 --> 00:16:01,080 Speaker 2: service personnel are going to be companies that do well. 268 00:16:01,120 --> 00:16:02,840 Speaker 2: I don't know if you agree with me on that, 269 00:16:03,000 --> 00:16:05,280 Speaker 2: but I hate check boxes. 270 00:16:05,240 --> 00:16:08,800 Speaker 5: And I hate have to agree with you on that too. 271 00:16:08,920 --> 00:16:10,560 Speaker 5: I would like to talk to a human when I 272 00:16:10,560 --> 00:16:12,400 Speaker 5: call Verizon, well. 273 00:16:12,280 --> 00:16:17,080 Speaker 2: Absolutely, and I think that, you know, maybe they I 274 00:16:17,120 --> 00:16:20,440 Speaker 2: just think that these companies are going all in, and 275 00:16:20,520 --> 00:16:23,640 Speaker 2: I think if if I think, it's a mistake, a 276 00:16:23,680 --> 00:16:29,800 Speaker 2: fundamental mistake. When I try to get my newspaper redelivered 277 00:16:29,880 --> 00:16:34,520 Speaker 2: some snowy winter's morning, when they they didn't make it 278 00:16:34,600 --> 00:16:38,760 Speaker 2: up the driveway, I end up dealing to get to 279 00:16:38,800 --> 00:16:42,800 Speaker 2: my Boston globe invariably with someone in the Philippines. And 280 00:16:42,840 --> 00:16:44,960 Speaker 2: when I try to explain to them that I understand 281 00:16:45,000 --> 00:16:47,640 Speaker 2: that there's an ice storm going on and a snowstorm, 282 00:16:48,320 --> 00:16:51,440 Speaker 2: they have no clue what I'm talking about. And I 283 00:16:51,480 --> 00:16:56,400 Speaker 2: hope that the bean counters that that's that some of 284 00:16:56,440 --> 00:17:02,119 Speaker 2: these big companies take get the bean counter under control 285 00:17:02,600 --> 00:17:05,679 Speaker 2: and understand the value of a human voice. 286 00:17:06,000 --> 00:17:10,520 Speaker 5: But end of speech, I think that you're onto something 287 00:17:10,640 --> 00:17:14,159 Speaker 5: in terms of there are many different aspects of positions 288 00:17:14,160 --> 00:17:18,800 Speaker 5: and roles that should not be taken over by AI technology. 289 00:17:19,200 --> 00:17:23,120 Speaker 5: And that's what we really want professionals to start looking into, 290 00:17:23,600 --> 00:17:27,080 Speaker 5: is what in my particular field and what in my 291 00:17:27,280 --> 00:17:30,200 Speaker 5: role might be starting to be taken over by AI, 292 00:17:30,440 --> 00:17:33,919 Speaker 5: And how can I adjust so that I continue to 293 00:17:34,000 --> 00:17:37,240 Speaker 5: grow with the technology that will likely be used in 294 00:17:37,320 --> 00:17:38,000 Speaker 5: the workplace. 295 00:17:38,359 --> 00:17:41,160 Speaker 2: Yeah, and I love either the companies when they say 296 00:17:41,800 --> 00:17:44,359 Speaker 2: leave you leave us a voice message and we'll We'll 297 00:17:44,359 --> 00:17:47,040 Speaker 2: have the first available person call you back. Don't put 298 00:17:47,119 --> 00:17:51,080 Speaker 2: people on home for two hours, you know, just call 299 00:17:51,160 --> 00:17:53,639 Speaker 2: them back and make it clear. You could say, we're 300 00:17:53,680 --> 00:17:57,880 Speaker 2: dealing with a with a higher than usual phone volume 301 00:17:57,960 --> 00:18:00,200 Speaker 2: and we will get back to If not later today, 302 00:18:00,400 --> 00:18:03,000 Speaker 2: we'll get back to you between nine and five tomorrow. 303 00:18:03,280 --> 00:18:06,640 Speaker 2: That is the solution that these companies better start thinking about. 304 00:18:06,720 --> 00:18:09,600 Speaker 2: In my opinion, doctor, how can folks get more information 305 00:18:09,680 --> 00:18:13,359 Speaker 2: from you? And what is your website or what's the 306 00:18:13,359 --> 00:18:14,560 Speaker 2: best way to be in contact? 307 00:18:15,640 --> 00:18:18,719 Speaker 5: Absolutely so, the best way to really check out what 308 00:18:18,760 --> 00:18:21,119 Speaker 5: we're doing here at Zeti and to get support with 309 00:18:21,160 --> 00:18:24,720 Speaker 5: your resume, your cover letter and understand what's changing in 310 00:18:24,760 --> 00:18:27,439 Speaker 5: the world of work is to check out zeddi dot com. 311 00:18:27,680 --> 00:18:31,000 Speaker 5: We have tons of informations and resources there to really 312 00:18:31,000 --> 00:18:34,960 Speaker 5: help job seekers and career professionals as they continue to grow. 313 00:18:35,240 --> 00:18:38,199 Speaker 2: Okay, and that's z e T y four letters, z 314 00:18:38,320 --> 00:18:41,840 Speaker 2: e t y dot com. Doctor Jasmin Escallera, thank you 315 00:18:41,880 --> 00:18:44,960 Speaker 2: so much. I really enjoyed our conversation and I'm delighted 316 00:18:45,000 --> 00:18:47,080 Speaker 2: that you and I are pretty much on the same 317 00:18:47,119 --> 00:18:49,760 Speaker 2: page because I feel a little smarter as a resulting 318 00:18:49,880 --> 00:18:51,320 Speaker 2: this conversation with you today. 319 00:18:51,359 --> 00:18:55,200 Speaker 4: Thanks Gay, Thank you have a great one you too. 320 00:18:55,280 --> 00:18:58,200 Speaker 2: Absolutely, we got the newscast coming up. We get back. 321 00:18:58,440 --> 00:19:01,959 Speaker 2: I have a fascinating story, the story of All Saints 322 00:19:02,040 --> 00:19:05,520 Speaker 2: Way in Boston's North End. Whether you're religious or not, 323 00:19:05,800 --> 00:19:08,640 Speaker 2: this is a story that will interest you and maybe 324 00:19:08,720 --> 00:19:12,239 Speaker 2: even excite you. Coming back right after the news at 325 00:19:12,240 --> 00:19:13,040 Speaker 2: the bottom of the. 326 00:19:13,000 --> 00:19:17,320 Speaker 1: Hour, you're on Night Side with Dan Ray on w BZ, 327 00:19:17,680 --> 00:19:19,840 Speaker 1: Boston's news radio. 328 00:19:20,359 --> 00:19:22,720 Speaker 2: Now we're going to talk about the All Saints Way 329 00:19:23,119 --> 00:19:26,800 Speaker 2: in the North End. Gary Rizzuto was a painter by trade, 330 00:19:27,400 --> 00:19:33,760 Speaker 2: and he has taken over the task of maintaining. Uh. 331 00:19:34,200 --> 00:19:36,679 Speaker 2: I don't want to use the word alleyway, Gary, but 332 00:19:36,760 --> 00:19:40,879 Speaker 2: it's a it's a it's a walkway between a couple 333 00:19:40,880 --> 00:19:45,880 Speaker 2: of buildings in Boston's North End which is dedicated to Saints. 334 00:19:47,000 --> 00:19:51,439 Speaker 2: And uh, it's a very interesting story. Let's start at 335 00:19:51,480 --> 00:19:55,440 Speaker 2: the beginning. How did this all Saints way start? It's 336 00:19:55,960 --> 00:19:58,639 Speaker 2: I assume it's mostly Catholic Saints in the North End? 337 00:19:58,640 --> 00:19:59,200 Speaker 2: Am I correct? 338 00:20:00,880 --> 00:20:01,120 Speaker 1: Yeah? 339 00:20:01,160 --> 00:20:04,360 Speaker 6: This is true. How it began was. 340 00:20:04,600 --> 00:20:09,919 Speaker 7: A man by the name of Peter Baldassari and roughly 341 00:20:10,000 --> 00:20:13,960 Speaker 7: around nineteen eighty five. He was sort of a maintenance 342 00:20:14,040 --> 00:20:18,080 Speaker 7: guy for the building and it's at four Battery Street 343 00:20:18,760 --> 00:20:23,200 Speaker 7: and twelve Battery Street, and he did handyman work and 344 00:20:23,280 --> 00:20:26,400 Speaker 7: cleaning of those buildings back then. 345 00:20:27,119 --> 00:20:27,919 Speaker 2: And he's a. 346 00:20:28,000 --> 00:20:30,840 Speaker 6: Very devout He was a very devout Catholic. 347 00:20:31,160 --> 00:20:34,480 Speaker 7: And he asked the owner of for Battery Street, a 348 00:20:34,600 --> 00:20:39,440 Speaker 7: very very lovely woman, if he could put an image of. 349 00:20:39,400 --> 00:20:41,560 Speaker 6: A Saints on the wall. 350 00:20:41,720 --> 00:20:47,600 Speaker 7: And it actually is an alleyway, you know, walkway. It's 351 00:20:47,760 --> 00:20:50,840 Speaker 7: the type of alleyway between two buildings where people generally 352 00:20:50,880 --> 00:20:52,600 Speaker 7: would store their trash barrels. 353 00:20:52,800 --> 00:20:54,400 Speaker 6: Yep, that's what it is, right. 354 00:20:54,680 --> 00:20:57,920 Speaker 7: And it had a big it had a big wooden 355 00:20:57,960 --> 00:21:01,120 Speaker 7: gate between the buildings so you couldn't into the alleyway. 356 00:21:01,320 --> 00:21:04,639 Speaker 7: And he put and I don't know the original saints, 357 00:21:04,680 --> 00:21:06,679 Speaker 7: and I could find out from the owner, but he 358 00:21:06,760 --> 00:21:10,640 Speaker 7: put a saint on the wall. And then he put 359 00:21:10,760 --> 00:21:12,800 Speaker 7: another one. And when I say he put a saint, 360 00:21:13,080 --> 00:21:15,639 Speaker 7: he made he took an image and he put it 361 00:21:15,680 --> 00:21:19,960 Speaker 7: in a frame, and he put like plexiglass in silicone, 362 00:21:20,880 --> 00:21:23,280 Speaker 7: and he and he and he started and he did 363 00:21:23,440 --> 00:21:28,240 Speaker 7: one by one another and another. Each one had to 364 00:21:28,280 --> 00:21:31,040 Speaker 7: take hours to create. And then there are now then 365 00:21:31,040 --> 00:21:34,800 Speaker 7: there are prayer cards that are that are and and they're. 366 00:21:34,480 --> 00:21:36,879 Speaker 6: In the open, they're out in the weather. 367 00:21:37,600 --> 00:21:39,800 Speaker 7: Some of these have ven here for forty and thirty 368 00:21:39,920 --> 00:21:45,479 Speaker 7: years and they're still in remarkable shape. So that's so 369 00:21:45,520 --> 00:21:48,639 Speaker 7: you can understand the time that this man devoted to 370 00:21:48,720 --> 00:21:49,840 Speaker 7: doing each one of them. 371 00:21:51,640 --> 00:21:55,159 Speaker 2: I saw the picture today. There's a lovely gait that 372 00:21:55,280 --> 00:21:57,760 Speaker 2: basically sat all said to that. 373 00:21:57,800 --> 00:22:02,760 Speaker 6: In a moment, Yeah, let me explained. So so so 374 00:22:03,160 --> 00:22:03,760 Speaker 6: now the. 375 00:22:04,160 --> 00:22:10,880 Speaker 7: Walls, the doors, the they were adorned with thousands of saints, 376 00:22:11,320 --> 00:22:12,200 Speaker 7: and this one. 377 00:22:12,000 --> 00:22:16,760 Speaker 6: Man did it himself, just with with with no fanfare. 378 00:22:17,200 --> 00:22:21,520 Speaker 7: No notoriety, just his way of honoring. 379 00:22:21,280 --> 00:22:24,359 Speaker 6: The saints that he loved. And he was he was 380 00:22:24,400 --> 00:22:25,879 Speaker 6: a wealth of knowledge. 381 00:22:26,040 --> 00:22:28,840 Speaker 7: When people would stop by, he would know it's a 382 00:22:28,840 --> 00:22:29,440 Speaker 7: wooden gates. 383 00:22:29,520 --> 00:22:30,399 Speaker 6: You couldn't really see it. 384 00:22:30,480 --> 00:22:34,480 Speaker 7: He would open it up and and people tourists and 385 00:22:34,600 --> 00:22:36,280 Speaker 7: you know how many people come to the North and 386 00:22:36,680 --> 00:22:38,159 Speaker 7: you know, they come for the food, they come to 387 00:22:38,280 --> 00:22:41,080 Speaker 7: the history, and they're walking around and they stumbled across 388 00:22:41,160 --> 00:22:41,720 Speaker 7: this place. 389 00:22:43,320 --> 00:22:47,240 Speaker 6: So so I'm losing my train of thought. I'm sorry. 390 00:22:47,359 --> 00:22:49,440 Speaker 2: So I was just going to point out that this 391 00:22:49,560 --> 00:22:50,920 Speaker 2: is now a lovely gate. 392 00:22:51,640 --> 00:22:53,199 Speaker 6: Okay, so we'll get to that. 393 00:22:55,240 --> 00:22:55,440 Speaker 4: Yeah. 394 00:22:55,480 --> 00:22:58,640 Speaker 6: So so Peter, you know, over the years he did this. 395 00:22:58,720 --> 00:23:03,360 Speaker 7: He you know, and it became real a landmark, and 396 00:23:03,520 --> 00:23:05,640 Speaker 7: people in the neighborhood loved. 397 00:23:05,320 --> 00:23:06,600 Speaker 6: It, tourists loved it. 398 00:23:07,000 --> 00:23:11,560 Speaker 7: And what happened was, unfortunately he had a stroke a 399 00:23:11,600 --> 00:23:14,040 Speaker 7: little over a year ago and this past spring he 400 00:23:14,119 --> 00:23:19,920 Speaker 7: passed away and the place fell into disrepair, okay, and in. 401 00:23:19,960 --> 00:23:23,640 Speaker 6: Really bad as far as trash and and just. 402 00:23:23,600 --> 00:23:29,600 Speaker 7: Things in the alleyway. And I was contracted to basically 403 00:23:29,800 --> 00:23:33,760 Speaker 7: dismantle and get rid of it. And they clean it 404 00:23:33,840 --> 00:23:36,640 Speaker 7: up and as I was doing it. 405 00:23:37,080 --> 00:23:38,920 Speaker 6: Okay, now there's still this big. 406 00:23:38,720 --> 00:23:42,680 Speaker 7: Black wooden gate on on It's not the iron gate. 407 00:23:42,520 --> 00:23:43,480 Speaker 6: That you see today. 408 00:23:44,760 --> 00:23:48,560 Speaker 7: So as I was doing it with bringing out bags 409 00:23:48,560 --> 00:23:50,920 Speaker 7: of trash and dump trucks full of trash and stuff, 410 00:23:51,119 --> 00:23:54,920 Speaker 7: people were stopping there. They were getting on their knees 411 00:23:55,400 --> 00:23:59,640 Speaker 7: on Battery Street and praying. People were Some people said 412 00:23:59,640 --> 00:24:03,000 Speaker 7: they come by there almost every day. Some people said 413 00:24:03,080 --> 00:24:04,679 Speaker 7: it was the first time they ever saw it. They 414 00:24:04,680 --> 00:24:07,240 Speaker 7: thought it was wonderful. They asked me about it, and 415 00:24:07,320 --> 00:24:09,040 Speaker 7: I told him because I had been working at that 416 00:24:09,119 --> 00:24:12,400 Speaker 7: building as a painter for many years, I'm familiar with 417 00:24:12,880 --> 00:24:17,760 Speaker 7: Peter and everything. And then one day a man, about 418 00:24:17,760 --> 00:24:21,280 Speaker 7: three or four days into this project, a man, and 419 00:24:21,600 --> 00:24:26,680 Speaker 7: I believe he was from India, he stopped and he said, 420 00:24:26,720 --> 00:24:31,480 Speaker 7: he comes to Boston three times a year, and the 421 00:24:31,520 --> 00:24:34,560 Speaker 7: first place he comes for business, the first place he 422 00:24:34,640 --> 00:24:37,960 Speaker 7: comes and he comes to spend some quiet time at 423 00:24:37,960 --> 00:24:41,080 Speaker 7: All Saints Way, and we've. 424 00:24:40,920 --> 00:24:42,560 Speaker 2: Got to push a little bit here again. 425 00:24:42,680 --> 00:24:43,760 Speaker 6: Okay, okay, I'll tell you right. 426 00:24:44,280 --> 00:24:46,000 Speaker 7: So I called the owner. I said, we have to 427 00:24:46,080 --> 00:24:49,080 Speaker 7: keep the place right, fast forward, fast forward. 428 00:24:49,359 --> 00:24:50,920 Speaker 6: And the place was kind of a mess. 429 00:24:50,960 --> 00:24:52,000 Speaker 2: I got to ask you one question. 430 00:24:52,160 --> 00:24:52,280 Speaker 1: Now. 431 00:24:52,400 --> 00:24:56,399 Speaker 2: I'll bet having listened to you, you probably came to 432 00:24:56,400 --> 00:25:01,320 Speaker 2: the conclusion to dismantle this and take this down probably 433 00:25:01,320 --> 00:25:03,680 Speaker 2: felt a little sacrilegious to you. I'll bet. 434 00:25:05,240 --> 00:25:08,720 Speaker 7: Well it was something that I didn't want to do, 435 00:25:08,920 --> 00:25:13,760 Speaker 7: but I wasn't prepared to take on the I wasn't 436 00:25:13,800 --> 00:25:15,800 Speaker 7: prepared at that time to take on this task. 437 00:25:16,160 --> 00:25:18,600 Speaker 6: And it is it is, it's it's a it's a 438 00:25:18,600 --> 00:25:19,120 Speaker 6: big job. 439 00:25:19,400 --> 00:25:25,280 Speaker 2: But you now you have inherited this, this custodial uh 440 00:25:25,920 --> 00:25:26,480 Speaker 2: as it were. 441 00:25:26,600 --> 00:25:27,240 Speaker 6: It's a blessing. 442 00:25:27,280 --> 00:25:32,480 Speaker 2: It's a blessing whatsoever. So and you're doing a great job. 443 00:25:32,600 --> 00:25:38,160 Speaker 2: You have an event coming up. I believe it's this Sunday. 444 00:25:37,760 --> 00:25:42,640 Speaker 7: This Saturday, November, I'm sorry, November, which is All Saints Day? 445 00:25:42,720 --> 00:25:43,399 Speaker 6: Isn't that great? 446 00:25:43,600 --> 00:25:45,920 Speaker 2: Of course perfectly? And what's going to happen. 447 00:25:46,000 --> 00:25:49,120 Speaker 7: There's there's going to be a father Michael from Saint 448 00:25:49,240 --> 00:25:52,960 Speaker 7: Leonard's is going to do a dedication and a service 449 00:25:53,000 --> 00:25:56,680 Speaker 7: and a dedication at All Saints Way at Battery treat 450 00:25:56,680 --> 00:26:01,360 Speaker 7: at four o'clock. That will be all societies. I'm sure 451 00:26:01,359 --> 00:26:03,800 Speaker 7: you're familiar with the Saint Anthony's and the Saint Joseph. 452 00:26:04,480 --> 00:26:08,400 Speaker 7: All the societies will be present with their banners. We're 453 00:26:08,440 --> 00:26:10,600 Speaker 7: going to go down to Saint Leonards for a full 454 00:26:10,680 --> 00:26:15,520 Speaker 7: Mass and then an All Saints Day procession with all 455 00:26:15,600 --> 00:26:18,320 Speaker 7: the societies and their banners through the streets of the 456 00:26:18,359 --> 00:26:18,880 Speaker 7: North End. 457 00:26:19,119 --> 00:26:20,480 Speaker 6: It's going to be wonderful. 458 00:26:20,760 --> 00:26:23,240 Speaker 2: Well, you know, it's gonna be wonderful. And also hopefully 459 00:26:23,280 --> 00:26:26,240 Speaker 2: the weather, which on Wednesday and Thursday is supposed to 460 00:26:26,280 --> 00:26:29,200 Speaker 2: be a little rainy. I bet you're gonna have good 461 00:26:29,200 --> 00:26:30,119 Speaker 2: weather on All Saints. 462 00:26:30,280 --> 00:26:31,600 Speaker 6: I think we're gonna have good weather. 463 00:26:31,760 --> 00:26:33,280 Speaker 7: Can I just get to the gate real. 464 00:26:33,160 --> 00:26:33,840 Speaker 6: Quick for you? 465 00:26:33,600 --> 00:26:36,720 Speaker 2: You got to get them quickly right now. 466 00:26:37,040 --> 00:26:41,399 Speaker 7: Okay. So a great philanthropist in the North End, a 467 00:26:41,440 --> 00:26:42,520 Speaker 7: great guy named Frank T. 468 00:26:42,640 --> 00:26:43,360 Speaker 6: Pisqually. 469 00:26:44,840 --> 00:26:48,399 Speaker 7: You know, Frank, can you come and look at this place? 470 00:26:48,560 --> 00:26:49,840 Speaker 6: I need your advice? 471 00:26:50,359 --> 00:26:53,359 Speaker 7: And he said, I love this place. I want to 472 00:26:53,400 --> 00:26:56,920 Speaker 7: preserve it. What do you need, Gary, anything you want? 473 00:26:57,320 --> 00:26:59,840 Speaker 7: I said, I want a gate so I can so 474 00:27:00,200 --> 00:27:02,680 Speaker 7: public can see this without me having to open it. 475 00:27:03,119 --> 00:27:06,520 Speaker 7: And within a few days that gate was installed. 476 00:27:06,640 --> 00:27:09,240 Speaker 2: It's a beautiful with the. 477 00:27:08,600 --> 00:27:10,760 Speaker 6: Beautiful gate with the lettering of all. 478 00:27:12,400 --> 00:27:14,000 Speaker 2: Other people in the community are. 479 00:27:13,920 --> 00:27:16,960 Speaker 6: Reaching out as well. It's just it's it's and from 480 00:27:17,000 --> 00:27:19,280 Speaker 6: all over, from all the. 481 00:27:19,280 --> 00:27:23,760 Speaker 2: Big two questions, real quickly, real quickly? Is there? I 482 00:27:23,800 --> 00:27:26,440 Speaker 2: know people want to want to go there on Saturday 483 00:27:26,640 --> 00:27:30,240 Speaker 2: November First they can with Google Maps and all that, 484 00:27:30,320 --> 00:27:33,280 Speaker 2: they'll they'll be able to get there. Four Battery Street 485 00:27:34,040 --> 00:27:38,119 Speaker 2: in the North End. Okay, how can people who can't 486 00:27:38,240 --> 00:27:41,080 Speaker 2: get there? Can they help you? Support you? Is there 487 00:27:41,119 --> 00:27:43,200 Speaker 2: a website you have and address? 488 00:27:43,400 --> 00:27:46,399 Speaker 7: We don't have a website up and running, but I 489 00:27:46,880 --> 00:27:49,880 Speaker 7: do have a it's a five oh one C three, 490 00:27:50,160 --> 00:27:55,399 Speaker 7: and we do have a a Venmo code and it's 491 00:27:55,920 --> 00:28:01,359 Speaker 7: at All Saints dash Way and you can donate any 492 00:28:01,400 --> 00:28:04,000 Speaker 7: amount and any amount is appreciated. 493 00:28:04,280 --> 00:28:07,680 Speaker 2: Okay, next time we do this might be smart to 494 00:28:07,720 --> 00:28:10,240 Speaker 2: get like either an address or a website, because I 495 00:28:10,280 --> 00:28:13,159 Speaker 2: know a lot of young people are very familiar with Venmo, 496 00:28:13,280 --> 00:28:16,040 Speaker 2: but there's a lot of people who are not. And 497 00:28:16,080 --> 00:28:17,240 Speaker 2: then the other question. 498 00:28:17,040 --> 00:28:18,880 Speaker 6: Is I'm only into this a couple of weeks now. 499 00:28:18,920 --> 00:28:20,560 Speaker 2: No, I understand that I'm trying to help you though. 500 00:28:20,560 --> 00:28:23,320 Speaker 2: The only other question I have is with a last 501 00:28:23,400 --> 00:28:26,600 Speaker 2: name Risuto, no relation to the Great Yankee shortstop and 502 00:28:26,640 --> 00:28:27,879 Speaker 2: broadcast to Phil Rasuto. 503 00:28:28,000 --> 00:28:30,320 Speaker 6: Right, I you certainly am. He was a cousin of 504 00:28:30,359 --> 00:28:31,160 Speaker 6: my grandfather. 505 00:28:31,400 --> 00:28:34,720 Speaker 2: How about that small worldly Hey. 506 00:28:34,480 --> 00:28:35,920 Speaker 1: How's this Holy Cow? 507 00:28:36,080 --> 00:28:37,399 Speaker 6: I think he's gonna make it. 508 00:28:39,520 --> 00:28:42,400 Speaker 2: He's looking down on your number eleven. All right, Hey, 509 00:28:42,480 --> 00:28:44,640 Speaker 2: thank you so much. I really do appreciate it. 510 00:28:44,720 --> 00:28:46,920 Speaker 6: Gary, and thank you Dan for your time. This has 511 00:28:46,960 --> 00:28:47,600 Speaker 6: been wonderful. 512 00:28:47,640 --> 00:28:49,880 Speaker 2: Thank you my pleasure. We'll do it again. We'll do 513 00:28:49,920 --> 00:28:50,840 Speaker 2: it again. Thanks Gay. 514 00:28:51,120 --> 00:28:53,680 Speaker 1: All right, all right, bye. 515 00:28:53,400 --> 00:28:55,880 Speaker 2: All right, we get back. We're gonna switch from all 516 00:28:55,920 --> 00:28:59,400 Speaker 2: Saints to all Basketball. Gary Washburn of the Boston Globe, 517 00:28:59,480 --> 00:29:02,040 Speaker 2: So I'm going to talk about the Celtics. It's a 518 00:29:02,080 --> 00:29:05,160 Speaker 2: new season, it's a new team. There's a lot of 519 00:29:05,160 --> 00:29:07,040 Speaker 2: people we're gonna have to get to know on this team, 520 00:29:07,080 --> 00:29:09,520 Speaker 2: that's for sure, and Gary knows them better than anyone. 521 00:29:09,600 --> 00:29:11,680 Speaker 2: Gary Washburn will join us on the other side of 522 00:29:11,720 --> 00:29:12,400 Speaker 2: the break. 523 00:29:13,840 --> 00:29:18,960 Speaker 1: Night Side with Dan Ray on WBZ, Boston's news Radio. 524 00:29:20,440 --> 00:29:23,360 Speaker 2: Delighted to be joined by Gary Washburn and the Boston Globe. 525 00:29:23,640 --> 00:29:26,720 Speaker 2: Gary is the top well, he's one of the great reporters, 526 00:29:26,720 --> 00:29:31,920 Speaker 2: but he specializes, amongst other things, in basketball. And Gary, 527 00:29:32,000 --> 00:29:33,560 Speaker 2: welcome back to Nightside. How are you, sir? 528 00:29:34,680 --> 00:29:35,760 Speaker 4: Hey, great to be here. 529 00:29:36,360 --> 00:29:39,280 Speaker 2: You know, Gary, I'm looking at the box score from 530 00:29:39,320 --> 00:29:42,800 Speaker 2: the Celtics Pelicans last night and two things I noticed 531 00:29:42,840 --> 00:29:47,800 Speaker 2: about it. And I'm not anywhere near the basketball expert 532 00:29:47,880 --> 00:29:51,640 Speaker 2: that you are, But a lot of different names that 533 00:29:51,880 --> 00:29:54,680 Speaker 2: I don't recognize. Although a lot of names, of course 534 00:29:54,680 --> 00:29:58,000 Speaker 2: which are no longer there. But also, you get nine 535 00:29:58,040 --> 00:30:02,720 Speaker 2: guys getting double figures in playing minutes last last night 536 00:30:03,440 --> 00:30:07,840 Speaker 2: against the Pelicans. I guess this is this truly is 537 00:30:07,840 --> 00:30:11,520 Speaker 2: a work in progress, right, Yeah, I mean. 538 00:30:12,240 --> 00:30:16,440 Speaker 4: You lose five players off of the championship team. Jason 539 00:30:16,480 --> 00:30:20,360 Speaker 4: Tatum is injured, Christasporzingis went to Atlanta drew out it 540 00:30:20,480 --> 00:30:23,920 Speaker 4: with the Portland Al Horford Golden State and Lou Cornett 541 00:30:23,960 --> 00:30:30,800 Speaker 4: San Antonio. So you're losing four starters and basically your 542 00:30:31,200 --> 00:30:35,920 Speaker 4: you know, main backup center, and you're gonna have to 543 00:30:35,920 --> 00:30:38,280 Speaker 4: bring in new guys. And they brought in you know, 544 00:30:38,360 --> 00:30:40,960 Speaker 4: this team needed to cut payroll, so you couldn't bring 545 00:30:41,000 --> 00:30:43,880 Speaker 4: in players who made just as much as those guys. 546 00:30:43,880 --> 00:30:45,880 Speaker 4: You had to bring in cheaper players who might not 547 00:30:45,920 --> 00:30:48,200 Speaker 4: have had an opportunity. So you've got a guy like 548 00:30:48,320 --> 00:30:51,360 Speaker 4: Josh may Not, You've got a guy got like Luke Garza, 549 00:30:51,640 --> 00:30:54,560 Speaker 4: you draft Ugle Gonzales out of Spain of nineteen year 550 00:30:54,560 --> 00:30:59,280 Speaker 4: old prospect, you trade for Anthony Simons, who's in the 551 00:30:59,320 --> 00:31:01,960 Speaker 4: final year contract. So there are a lot of new 552 00:31:02,000 --> 00:31:04,840 Speaker 4: names and new faces. So chemistry is gonna be an 553 00:31:04,880 --> 00:31:08,000 Speaker 4: issue for the next few weeks or even a few months. 554 00:31:08,040 --> 00:31:11,280 Speaker 4: They're gonna it's gonna take time. And that's kind of 555 00:31:11,320 --> 00:31:14,560 Speaker 4: the coherent theme of this team this year. It's it's 556 00:31:14,600 --> 00:31:17,120 Speaker 4: gonna take time. They're not a finished product. They're not 557 00:31:17,160 --> 00:31:20,240 Speaker 4: gonna be as good as their competitors, the Knicks and 558 00:31:20,280 --> 00:31:22,520 Speaker 4: the Cavs and teams that have been together for years. 559 00:31:22,920 --> 00:31:25,160 Speaker 4: It's gonna take a while to develop that chemistry. But 560 00:31:25,960 --> 00:31:27,120 Speaker 4: I think they'll be okay. 561 00:31:27,520 --> 00:31:29,920 Speaker 2: What happened in gazaaleslast time I see it looks to 562 00:31:29,920 --> 00:31:32,760 Speaker 2: me like either was wasn't dressed, that he was a 563 00:31:32,840 --> 00:31:33,240 Speaker 2: d n B. 564 00:31:34,960 --> 00:31:37,479 Speaker 4: Yeah, he did not play last night after starting a 565 00:31:37,600 --> 00:31:40,840 Speaker 4: Sunday in Detroit. I think at this point Joe Mozilla's 566 00:31:40,840 --> 00:31:43,200 Speaker 4: just trying to mess around with rope, not mess around, 567 00:31:43,200 --> 00:31:48,920 Speaker 4: but kind of experiment with rotations, with playing lineups, and 568 00:31:48,960 --> 00:31:51,720 Speaker 4: so there's gonna be nights where guys don't play. There's 569 00:31:51,720 --> 00:31:53,360 Speaker 4: gonna be nights where they play. The next night they 570 00:31:53,360 --> 00:31:55,720 Speaker 4: play thirty minutes, and they're gonna have to get used 571 00:31:55,720 --> 00:31:59,120 Speaker 4: to this. Only the guys like a Jalen Brown and 572 00:31:59,200 --> 00:32:04,160 Speaker 4: Derek White, pay and Pritchard are gonna have steady, consistent minutes. 573 00:32:04,240 --> 00:32:05,880 Speaker 4: The rest of the guys are gonna have to get 574 00:32:05,960 --> 00:32:10,320 Speaker 4: used to inconsistent minutes. They're gonna have to prepare for 575 00:32:10,840 --> 00:32:12,840 Speaker 4: maybe nights where they don't play as much, and then 576 00:32:12,880 --> 00:32:15,160 Speaker 4: the next night they're called upon to have a major role. 577 00:32:15,560 --> 00:32:18,160 Speaker 4: And I just think, being a nineteen year old rookie, 578 00:32:18,240 --> 00:32:20,720 Speaker 4: you know, this is what life in the NBA is 579 00:32:20,840 --> 00:32:22,440 Speaker 4: like for a young player, and he's gonna have to 580 00:32:22,440 --> 00:32:23,080 Speaker 4: get used to it. 581 00:32:23,760 --> 00:32:27,280 Speaker 2: So of the new the guys that they've picked up, 582 00:32:28,800 --> 00:32:32,280 Speaker 2: let's say, by Christmas, who do you think will be 583 00:32:32,360 --> 00:32:36,160 Speaker 2: playing a more important role than maybe there or to 584 00:32:36,200 --> 00:32:39,600 Speaker 2: put it this way, whose names give me a couple 585 00:32:39,680 --> 00:32:41,920 Speaker 2: of the players that you think we're gonna are going 586 00:32:42,000 --> 00:32:45,480 Speaker 2: to be closer to being household names. Obviously, everybody knows 587 00:32:45,520 --> 00:32:48,120 Speaker 2: Derek White. I think most people know three point shoot, 588 00:32:48,200 --> 00:32:52,560 Speaker 2: amongst other things, that guard Peyton Pritchard, and clearly Jalen 589 00:32:52,600 --> 00:32:57,080 Speaker 2: Brown is a superstar in the NBA. Jason Tatum will 590 00:32:57,080 --> 00:32:59,479 Speaker 2: be back at some point. We can talk about that 591 00:32:59,520 --> 00:33:01,840 Speaker 2: in a second. But who are you got Sam Houser, 592 00:33:01,880 --> 00:33:04,640 Speaker 2: who I think people know from his time with the Celtics. 593 00:33:05,200 --> 00:33:08,240 Speaker 2: Of the new guys, the names that maybe are difficult 594 00:33:08,280 --> 00:33:10,520 Speaker 2: to pronounce, so maybe the names that people don't know. 595 00:33:10,960 --> 00:33:12,720 Speaker 2: Give me a couple that you think are going to 596 00:33:12,800 --> 00:33:15,440 Speaker 2: have a breakout first couple of months. 597 00:33:15,160 --> 00:33:19,400 Speaker 4: Here, Well, I think you're three players who will the 598 00:33:19,440 --> 00:33:21,440 Speaker 4: Celtics hands are to get used to knowing their names 599 00:33:21,440 --> 00:33:25,800 Speaker 4: and learning their pronunciations. That's Josh Wynot who comes from Minnesota. 600 00:33:26,680 --> 00:33:28,920 Speaker 4: He was a guy who came out of college after 601 00:33:29,000 --> 00:33:31,040 Speaker 4: one year, probably a little bit too early. He probably 602 00:33:31,040 --> 00:33:35,120 Speaker 4: wasn't ready for the NBA. Spent the three years pretty 603 00:33:35,160 --> 00:33:37,480 Speaker 4: much on the bench in Minnesota, spending time between the 604 00:33:38,080 --> 00:33:41,880 Speaker 4: big team and the G League team in Iowa. And 605 00:33:41,960 --> 00:33:44,120 Speaker 4: now this is his kind of opportunity. He's only twenty 606 00:33:44,120 --> 00:33:47,080 Speaker 4: two years old. This is his opportunity to really get 607 00:33:47,120 --> 00:33:50,320 Speaker 4: his first NBA chance, and last night was his first 608 00:33:50,400 --> 00:33:53,600 Speaker 4: NBA start. He flourished well. He was a plus forty 609 00:33:53,600 --> 00:33:56,840 Speaker 4: two on the floor, which means the Celtics outscored the 610 00:33:56,840 --> 00:33:59,360 Speaker 4: Pelicans by forty two points when he was on the floor. 611 00:33:59,680 --> 00:34:03,400 Speaker 4: That is exceptional. That is a sixteen SAT score. That's 612 00:34:03,560 --> 00:34:05,920 Speaker 4: as good as you're gonna get. That's one hundred and 613 00:34:05,960 --> 00:34:09,080 Speaker 4: twenty five quarterback rating. That is a great number. 614 00:34:09,880 --> 00:34:13,680 Speaker 2: Absolutely, And he also had nine rebounds. Is a forward, 615 00:34:13,719 --> 00:34:16,920 Speaker 2: but nine rebounds and fifteen points, so that's a nice Yeah, 616 00:34:16,960 --> 00:34:18,879 Speaker 2: that's a nice set of numbers for him last night. 617 00:34:18,880 --> 00:34:22,040 Speaker 2: We'll keep an eye on who else. You know. Again, 618 00:34:22,120 --> 00:34:24,360 Speaker 2: you know these these guys a lot better than we do. 619 00:34:24,440 --> 00:34:27,880 Speaker 2: Give me a couple of other names. 620 00:34:26,760 --> 00:34:30,840 Speaker 4: Well, Ugo Gonzalez, the rookie from Spain, a guy who 621 00:34:31,239 --> 00:34:34,840 Speaker 4: has played for the Spanish national team, who played for 622 00:34:34,920 --> 00:34:37,759 Speaker 4: Real Madrid, so he's played around former NBA players, He's 623 00:34:37,760 --> 00:34:40,600 Speaker 4: played around, you know, older men, so his game is 624 00:34:40,600 --> 00:34:43,080 Speaker 4: a little bit more advanced than an average nineteen year old. 625 00:34:43,560 --> 00:34:49,040 Speaker 4: And then Anthony Simon's a kid out of who played 626 00:34:49,080 --> 00:34:51,200 Speaker 4: in Portland the last seven years and was kind of 627 00:34:51,560 --> 00:34:53,640 Speaker 4: you know, hitting there. You know, the Blazers are not 628 00:34:53,680 --> 00:34:57,440 Speaker 4: a high profile team, but he can score with the 629 00:34:57,480 --> 00:34:59,759 Speaker 4: best of them, and I think we saw that last night, 630 00:34:59,760 --> 00:35:01,880 Speaker 4: which twenty five points. And then if you want to 631 00:35:01,880 --> 00:35:05,120 Speaker 4: add a fourth name, Luca Garza those are the four 632 00:35:05,239 --> 00:35:07,319 Speaker 4: names I would say Celtic fans are going to need 633 00:35:07,320 --> 00:35:08,920 Speaker 4: to learn over the next few months. 634 00:35:09,040 --> 00:35:11,640 Speaker 2: Where was Garza last year? He is? He a sentiment. 635 00:35:13,120 --> 00:35:15,880 Speaker 4: He was a with the Minnesota timberwa was he was 636 00:35:15,880 --> 00:35:19,560 Speaker 4: a teammate with with my not kind of riding the bench, 637 00:35:19,600 --> 00:35:21,760 Speaker 4: didn't have a lot of time for him. He's bounced around. 638 00:35:21,760 --> 00:35:25,280 Speaker 4: He was a great All American player at the University 639 00:35:25,320 --> 00:35:27,640 Speaker 4: of Iowa. He was he was there a little bit 640 00:35:27,640 --> 00:35:30,439 Speaker 4: before Caitlyn Clark, so he was kind of Caitlin Clark 641 00:35:30,480 --> 00:35:34,440 Speaker 4: before Caitlyn Clark and winning the National Player of the 642 00:35:34,520 --> 00:35:37,280 Speaker 4: Year and just having an amazing career at the University 643 00:35:37,320 --> 00:35:40,320 Speaker 4: of Iowa. But it has not yet translated to the NBA, 644 00:35:40,360 --> 00:35:43,680 Speaker 4: And I guess this is his opportunity for him to 645 00:35:43,800 --> 00:35:45,279 Speaker 4: kind of show what he can do and the same 646 00:35:45,280 --> 00:35:45,600 Speaker 4: as mine. 647 00:35:45,640 --> 00:35:45,680 Speaker 1: Not. 648 00:35:46,400 --> 00:35:50,320 Speaker 2: It's it's amazing when when you watch these guys in college, 649 00:35:50,520 --> 00:35:54,960 Speaker 2: they're just fabulous players. And you know, in the NBA, 650 00:35:55,400 --> 00:35:58,040 Speaker 2: it looks like there's two rounds to draft, you know, 651 00:35:58,160 --> 00:36:01,719 Speaker 2: unlike football or even baseball or hockey, where you can 652 00:36:01,760 --> 00:36:05,240 Speaker 2: find guys in the fifth and sixth round. Read Tom Brady. 653 00:36:05,680 --> 00:36:09,960 Speaker 2: NBA doesn't have a sixth round and how so many 654 00:36:09,960 --> 00:36:14,560 Speaker 2: of these great college players kind of just disappear. I've 655 00:36:14,640 --> 00:36:17,200 Speaker 2: never understood that. Can you explain that to me a 656 00:36:17,239 --> 00:36:17,640 Speaker 2: little bit. 657 00:36:18,880 --> 00:36:21,000 Speaker 4: Well, the college game is different than the professional game. 658 00:36:21,040 --> 00:36:26,200 Speaker 4: It's officiated different. Every player in college, sorry, in the NBA, 659 00:36:26,840 --> 00:36:29,520 Speaker 4: most you know, they're elite athletes in addition to having 660 00:36:30,360 --> 00:36:34,000 Speaker 4: immense talent. So if you don't have that, you know, 661 00:36:34,160 --> 00:36:37,200 Speaker 4: elite athleticism. If you're not immensely talented, but you had 662 00:36:37,239 --> 00:36:40,320 Speaker 4: a great college year and you come out and you think, Okay, 663 00:36:40,360 --> 00:36:43,479 Speaker 4: I'm gonna you know, come out and flourish in the NBA, 664 00:36:43,560 --> 00:36:46,919 Speaker 4: that's not necessarily case. Sometimes it takes years to learn 665 00:36:46,960 --> 00:36:50,600 Speaker 4: the idiosyncrasies of the NBA game. You know, your team 666 00:36:50,880 --> 00:36:54,799 Speaker 4: has to be dedicated to developing you. Some teams are 667 00:36:54,840 --> 00:36:58,400 Speaker 4: not as much interested in developing younger players as other teams. 668 00:36:58,880 --> 00:37:01,040 Speaker 4: They're gonna look at you and go, well, you hear 669 00:37:01,120 --> 00:37:04,319 Speaker 4: all the here's the basketballs, here's all the equipment. You 670 00:37:04,400 --> 00:37:06,560 Speaker 4: work on your game. We're not going to push you 671 00:37:06,680 --> 00:37:09,480 Speaker 4: unless you want to be pushed. So some of these 672 00:37:09,480 --> 00:37:14,080 Speaker 4: guys doin kind of languish, they fail, or they just 673 00:37:14,120 --> 00:37:17,719 Speaker 4: become normal, average players, even though they had great college careers. 674 00:37:17,920 --> 00:37:21,360 Speaker 4: Sometimes it's a physical situation. With Garza, he was a 675 00:37:21,400 --> 00:37:24,840 Speaker 4: little bulky, a little undersized for an NBA center, but 676 00:37:24,920 --> 00:37:28,280 Speaker 4: he's gotten his body in shape and he spread the floor. 677 00:37:28,360 --> 00:37:31,319 Speaker 4: Now big men need to shoot, and he's learned how 678 00:37:31,320 --> 00:37:34,640 Speaker 4: to shoot from the outside. So there's just a lot 679 00:37:34,680 --> 00:37:37,280 Speaker 4: of reasons why some guys don't translate to the NBA. 680 00:37:37,320 --> 00:37:41,360 Speaker 2: All right, Gary, last quick question. Would forty wins this 681 00:37:41,480 --> 00:37:45,120 Speaker 2: year be a good season for a team that's that's rebounding? 682 00:37:45,320 --> 00:37:45,960 Speaker 2: Pardon the pun. 683 00:37:47,640 --> 00:37:50,360 Speaker 4: I think forty wins would be a little bit below 684 00:37:50,840 --> 00:37:53,759 Speaker 4: what their expectations are. I think they expect to make 685 00:37:53,760 --> 00:37:56,120 Speaker 4: a run at the playoffs. I think forty five or 686 00:37:56,160 --> 00:37:59,359 Speaker 4: forty six would be a good season. Fifty would be exceptional, 687 00:38:00,239 --> 00:38:03,360 Speaker 4: forty would be a slight disappointment. But there's gonna be 688 00:38:03,800 --> 00:38:07,560 Speaker 4: games where there's it's a razor thin difference between wins 689 00:38:07,560 --> 00:38:09,040 Speaker 4: and losses. This team is gonna play a lot of 690 00:38:09,040 --> 00:38:11,600 Speaker 4: close games this year. There's gonna be times where they 691 00:38:12,640 --> 00:38:14,920 Speaker 4: look great and there are times they don't look so great. 692 00:38:14,960 --> 00:38:17,560 Speaker 4: So expect a roller coaster of a season. 693 00:38:18,160 --> 00:38:20,200 Speaker 2: Hey Gary, thank you so much. You're the best I 694 00:38:20,320 --> 00:38:23,560 Speaker 2: really enjoyed the conversation. I feel we got a tutorial 695 00:38:23,640 --> 00:38:27,000 Speaker 2: in the NBA and the twenty twenty five Boston Celtics. 696 00:38:27,120 --> 00:38:30,160 Speaker 2: Really appreciate your time tonight. Thank you again very much. 697 00:38:30,280 --> 00:38:31,080 Speaker 4: Thanks for having me. 698 00:38:31,160 --> 00:38:33,680 Speaker 2: You betcha all right, we get back. We're going to 699 00:38:34,000 --> 00:38:37,200 Speaker 2: start off. Our first topic is going to be a 700 00:38:37,239 --> 00:38:40,640 Speaker 2: piece of legislation is proposed by State Senator Paul feeni 701 00:38:40,960 --> 00:38:43,560 Speaker 2: Up at the State House which would limit the number 702 00:38:43,600 --> 00:38:49,000 Speaker 2: of self checkout kiosks at Massachusetts grocery stores. I'll explain 703 00:38:49,280 --> 00:38:52,319 Speaker 2: right after the nine o'clock news on night side. Buckle up, 704 00:38:52,360 --> 00:38:53,359 Speaker 2: We're gonna have a fun night.