Tag: Privacy

mention

18:32:21 Did you make those videos that are homework videos?
18:32:25 Yes.
18:32:26 So that was you behind the
18:32:29 Yes, that was me behind the emoji.
18:32:33 Pretty clever.
18:33:44 For those joining, I have turned on recording. And also close captioning. If anyone objects to that, please tell me.
18:33:56 And, we usually start the meeting with a question to answer. So does anyone have any questions?
18:34:06 Well, I'm looking at the settings on the iPad for Zoom and I don't see anything about it.
18:34:13 Anything other than a microphone, there's nothing to adjust for sound. On the, at least not on my iPad.
18:34:19 Okay. Okay.
18:34:26 Cool.
18:34:27 I, you're muted.
18:34:32 Yes.
18:34:29 Okay, I have a question. How do you, fuzz or I don't know the proper term the background.
18:34:40 Everyone seems to.
18:34:40 On Zoom.
18:34:45 I'll put volume.
18:34:49 Let me try that. What was the question again?
18:34:52 I don't know if it's if you say fuzz the background. Or make the background so it's not like you can see all your background.
18:35:05 Okay.
18:35:05 But somebody said that you can kind of make it so it isn't all all the background.
18:35:10 Yes. If you're on a desktop or laptop, go up to it says Zoom workplace or Zoom if you have an older version settings.
18:35:20 And then there's background and effects. And the second effect over is blur.
18:35:27 Okay, so where do I go? You'll see showers and can expect a high of 53°F and a lower 44 degrees.
18:35:30 Go to the zoom go down to settings in the zoom menu. Go to background and effects, which is about halfway down.
18:35:45 And the second setting over is blur. You click that and it blurs the background.
18:35:50 I, I just have smug on here. So I don't I'm probably not hitting the right thing
18:35:58 Are you in Zoom? Are you using just a browser?
18:36:02 No, I hit. I hit the top. And it says mute, you know, that with video blah blah.
18:36:12 And then there's a zoom and a check.
18:36:21 Nice.
18:36:16 And then when I do that, it says smug, 1,900. The number, the pass code.
18:36:24 The perip participants encrypted.
18:36:30 Okay.
18:36:30 Then I hit the people that are on there and then we get more people.
18:36:35 Yeah, well above that in in the main menu for the computer There should be something, there should be a zoom or a zoom workplace.
18:36:45 Menu way up at the top next to the Apple menu. And under that is settings. And settings has something there for backgrounds and you can pick various backgrounds.
18:36:57 I used to.
18:37:00 I used to use the blurred.
18:37:06 Okay.
18:36:57 Okay, I'll check it. Oh, I'll go on my computer and do it. I'm on my tablet.
18:37:08 Oh, on the tablet. I, I don't know how to do this on the tablet.
18:37:12 Okay.
18:37:12 It's on the bottom if it's a tablets on if it's an iPad it's along the bottom You have to tap up above the black area.
18:37:20 To get all of the icons to pop up. And then way over at the right before the leave red X.
18:37:27 There are 3 dots. It says more. That pops up something that says apps meeting settings.
18:37:34 Backgrounds and effects, which is what you want. Backgrounds in effect. So you Yeah, now you're blur.
18:37:36 Yes. And it says blur. Blush your heart.
18:37:45 Okay.
18:37:40 Yes. And you just. Yes, you just blurred your background. I will tell you a disadvantage of a blurred background.
18:37:50 Okay.
18:37:52 I'll show you right the second. I'm holding up this orange. Hard drive.
18:37:59 If I go and I blur my background and I go into settings. And pick, background.
18:38:05 Blur and I Hold my, I need to find my mouse again. My mouse disappeared and I hold this up.
18:38:14 It kind of fades in and out of reality because it's focused on my face and it doesn't really see this if it's someplace that if it's not my face.
18:38:30 Oh.
18:38:24 So these things tend to disappear. And so it makes me, it makes it difficult for me to demonstrate things because If I have the background, it blurs that stuff.
18:38:35 So. My background now is this canvas. Print of the Pocosi print, very famous Hokusai.
18:38:46 Print.
18:38:49 I'm very fond of Hokusai, but then again, I'm a Japanese historian, so that's.
18:38:54 You know, hard for the course.
18:38:59 Any other questions?
18:39:10 Well, I will tell you a couple things while we're waiting for other people to come on and possibly have a questions.
18:39:16 First, st Apple is having their worldwide developer conference. On June 10th through the 14.th you, you can participate virtually online.
18:39:29 It's aimed at hardware and software developers, but they always have interesting things that you don't have to be a specialist to understand.
18:39:36 And then, the most important thing is that on the very 1st day, at 10 am they have a keynote and the keynote talks about their plans their software plans for the most part for the rest of the year and Sometimes they cover hardware as well.
18:39:55 But it's well worth seeing and it's it's free. And they just announced today.
18:40:03 A special event that they're going to have. And a ridiculous time it's it's going to be at 7 a.
18:40:10 M. On the 7th of May. They're having a special event and the graphic for it suggests that it's going to be, have something to do with the iPad.
18:40:20 But, these things are free and you can just log in to the Apple site and watch them.
18:40:30 If you have an Apple TV, the, you can use your Apple TV to watch them, which is what we do.
18:40:36 At home.
18:40:40 And. There are also been some updates to various Apple. Operating systems for iPads, laptops.
18:40:51 Desktops iPhones, whatnot, since our last meeting. Mostly security. Updates, but one thing that everybody could use is they've added some more emoji.
18:41:07 Which I always find a fun thing to play with. I like to send my daughter.
18:41:14 Strictic messages written entirely in emoji. She lives in England, so sometimes it's a mixture of US and British humor and she sits and puzzles them out and then says, Oh, Dad.
18:41:27 Which is appropriate.
18:41:30 Any questions anyone has?
18:41:40 Do you have any experience with back blaze on line backup service?
18:41:45 I use it. I've used it since, before we moved out here. When we moved out here and.
18:41:54 2,018. I have a huge amount of data, photographs and whatnot and While I shipped my computer, I wasn't.
18:42:05 Confident that they would drive in one in a in in good shape. So before I shipped it, I, synced everything I had up to back place.
18:42:15 Backplays is an online cloud service. And I don't remember how much it costs.
18:42:21 The, advantage that it has is that when you're off late, if you upload things to back place, it's done automated.
18:42:29 There's just a process it runs a new machine and it constantly updates. As you create new things, and they get updated, to back place.
18:42:39 And happens in the background and The price covers whether you have a lot of data or a little data. In my case, I currently have a 24 TB.
18:42:53 Of information stored on back place. And if I only had, you know, like. 50 gb would have been the same price.
18:43:02 They don't charge you for that. The good news bad news is it happens in the background.
18:43:07 I never noticed that it's happening. It doesn't slow me down at all. But given the kind of internet, we have around here.
18:43:15 It would probably take a while if you had like a terabyte of data you wanted to. Upload, it would take a while for it to get uploaded simply because it can't go any faster than your internet.
18:43:27 Connection. But, it's It's invisible to me. And doesn't cost that much money.
18:43:37 And it's a it's a good backup service. It's not a replacement for.
18:43:44 Time machine, time machine backs up a local copy. And if you lose something, it's much easier to pull it off with time machine.
18:43:52 Than it is off and back base. It's not difficult off of back place, but, among other things that it requires that you have.
18:43:59 Your machine setup with backlays that you go and search for the stuff and it's it's just.
18:44:06 It's slower and less convenient than time machine. Back blaze is, My, I, thoroughly endorse the.
18:44:15 Service. I've used it now for what?
18:44:20 7, 8 years and, never had any trouble. If you have a lot of data, they even have a restore.
18:44:29 By disk service so that if someone comes and steals your your computer and you have to start from scratch.
18:44:37 You buy a new computer and they'll ship you a drive and then you can copy it off of that drive.
18:44:44 You have to ship the drive back, but, it's, it's, I've never had to do that.
18:44:48 I'm just saying that they think about things like this. Because you have terabytes of of data.
18:44:59 Thank you.
18:44:54 It, it does take a while to transfer it back and forth. backlays because of the service that they have also has, they have these drive, reliability reports that I use when I'm purchasing.
18:45:12 Storage. Because they buy tens of thousands of drives and they're in constant use. And so they can tell you whether or not.
18:45:21 Drives are prone to dine or if they're more robust. I've last several years, every, any time I bought them.
18:45:31 Hard drive. I've gone to their site and checked out their. Stats for it. They've got some, geeks who were quite passionate about doing very strange statistics on hard drive.
18:45:47 So. It's always entertaining to see what they have to say.
18:45:52 Any other questions?
18:46:01 Paul, you're muted. Oh, you're not muted anymore.
18:46:03 I just unmuted. Okay, I have a question. I got scam the other day. I was reading a, an article.
18:46:14 On the PDM, they have I have their app. So you can read the newspaper. Now is reading it.
18:46:20 They have an app. They have an app? I didn't know. Oh.
18:46:22 What? Yeah. Yeah, yeah, can you, if, if you subscribe to the PDN.
18:46:31 You get the app and you, you can get the You can get articles and then it actually just looks like newspaper.
18:46:38 You can do whatever either way. But anyway, I was I was in the. Newspaper mode the editions mode and I was reading the article and I finished the article and this this window came up with a sort of a flashing pulsing.
18:46:55 Thing it was it was pink or red or something and it said take our survey. Okay, this is the PD and I put this I clicked on that and it had a little simple survey and I Complete that.
18:47:10 That is said, for taking the survey, you have a chance to enterprise. So, and it was late at night, so I wasn't thinking real clearly.
18:47:17 And so I clicked on that and this little machine came out and drew something out of a box and there wasn't anything. And I said, try again.
18:47:27 You have 2 more chances. I did another one and I drew up. A prize. It was a
18:47:34 IA iPhone 15 I think. Anyway, it said you've won this prize And, you just have to.
18:47:43 Hey, $9 50 for shipping and handling. Of sounds reasonable. And again, I keep thinking, well, this is a This is a.
18:47:53 Most of the news things so it. Should be fairly safe. So anyway, I clicked on that and put in my credit card knowing that if it was a scan light.
18:48:01 Oh no.
18:48:02 I'd, Go ahead and check my credit card and cancel. A cancel the transaction, which is what happens.
18:48:13 I clicked on the thing and it put up an error message and said can't complete there's an error.
18:48:18 And so I thought, oh, oh, so I, I mean, and they call the credit card and sure enough.
18:48:24 Somebody had. But a thing, a, transaction for a hundred $30 worth of, cosmetics and somewhere in eastern Canada.
18:48:38 Okay.
18:48:37 So they cancel and I cancel my card and had to wait for a week to get a new card. Now my question is, Was that something that was on?
18:48:46 There website or is that something that's invaded my phone?
18:48:50 Or how would we tell?
18:48:50 The answer is The answer is it's probably from the. Peninsula Daily News site.
18:49:04 Yeah.
18:48:59 One of the problems that I'll tell you my own story. Kind of his background. I was, I was on.
18:49:10 A site. I remember I've been a member since I was 17 at the US Naval Institute, which is a scholarly organization that, talks about the Navy and maritime law and so on so forth.
18:49:23 And I was on their website and this. Company was selling a model. Of of aircraft and there's 1 particular aircraft that the Navy used to have called it and a 5 vigilante that I think is one of the most beautiful planes ever made Doesn't make anything any difference about any of that, but it's just they had this model of this airplane.
18:50:00 Yeah.
18:49:52 So I clicked on that and it went to the model makers. Site and I saw that it was a hundred $40 and I lost interest but it was, it was a beautiful model, but it was also 140 bucks.
18:50:06 The next day when I went on to the Washington Post site I was kept on getting ads from. Lockheed and Macdonald Douglas for fighter planes.
18:50:18 Ha ha!
18:50:27 Okay. Yeah.
18:50:18 No, I personally just I'm just not I was a civil servant in the United States and they don't pay us enough for us to buy our own private fighter plane, but That is how that is how the advertising industry works.
18:50:35 Google in particular will sell people search histories. Advertisers plus they use it for their own advertising.
18:50:41 And when you go on to the Washington Post, the Washington Post sells the advertising space to a vendor to put up ads, but the Washington Post has no idea what they're going to be advertising.
18:50:56 Yeah.
18:50:56 They do the in in the in the wild West days that they started off they would they had no constraints at all.
18:51:04 So for example, the Washington Post for a couple of weeks was putting up ads for call girls.
18:51:13 Yeah.
18:51:11 They didn't realize that they were doing that. But, but, they started putting limitations on what you could have on sites.
18:51:19 And so things like, Scholastic, which is a, publishing company that targets children.
18:51:27 They, ads have to be things that children can do and not require credit cards and so on and so forth.
18:51:36 Whereas for adults, if you go into the Washington Post, they'll still try and tell you, sell you a fighter plane, but, No, more call, girls.
18:51:42 Yep.
18:51:45 So they do put restrictions on it. But the fact is that when Washington Post sells that space or, Peninsula, Daily News sells that space.
18:51:56 The vendor selling the advertising can put up there whatever they want. There are constraints in terms of the size and how much text it is and so on and so forth, but if somebody wants to establish a shell company and put up fake advertising in order to collect people's credit cards.
18:52:14 There's not much that peninsula daily dues can do about it. But having said that, I would tell Peninsula Daily News.
18:52:23 Because they essentially are selling that service. And they should know that the service that whoever is running the service probably is doing a bad job.
18:52:41 Yeah.
18:52:36 I was surprised recently to find out the potential the daily news is actually owned by a Canadian company. I didn't realize that until recently, which
18:52:44 Well, I did. I, I let them know. I told him and, Person I talked to passed it on pass the message on to their tech person so I assume that the least they have the information that I was not right.
18:53:00 Yeah, but. The the the simple fact is that probably Peninsula Daily News had nothing to do with this other than they sold the space.
18:53:10 Yeah, yeah.
18:53:10 In terms of how you can protect yourself.
18:53:16 I will tell you, I will tell you things that I do to protect myself. I do not ever ever ever spend money based upon and I, text message.
18:53:29 So if I get a text message on my phone. You like, I recently bought some shoes and the company that I bought the shoes from, text messages me, Hey, we got sales on this, that and the other thing.
18:53:41 If I decide that I really want those shoes, I will go on to their website from my desktop.
18:53:46 Explicitly go to their website and do a transaction there. I don't do it via text message and the same is true for things like ads like the.
18:54:00 I wouldn't have bought it within that box. I would have, quit out of the Naval Institute.
18:54:07 It would have gone to their website and done it that way. In terms of those contests, the contests are actually fairly They're fairly common.
18:54:18 There are vendors that go out there and actually manage contests for publishers because the publishers of newspapers and so on so forth like to sell ads and the more they know about you the better for selling you ads.
18:54:33 And so the other companies have set up these setup operations where they have contests. As an example, I recently bought some hard drives and at the end of my transaction, they had a survey.
18:54:47 And if you fill out the survey, then you can get a prize. And the price from this company is always a free magazine subscription.
18:54:53 Okay.
18:54:53 And there were things like house and garden and, home beautiful and so on and so forth. There's not a chance that I would ever read any of those, so I ignore that.
18:55:04 But I'm aware that they do that and that is a legitimate thing for them to do. But what they really this company that's selling you that's giving away these free subscriptions.
18:55:15 What they want is your name, your address. Where you live, so on so forth, so they can sell.
18:55:21 Things to you, then make you a better customer. So it's not really free because you're actually giving up some of your privacy.
18:55:29 Yeah.
18:55:29 But again, if I wanted to magazine, I'd go to the magazine. And I subscribe to it.
18:55:34 I don't respond to text messages. I don't respond to sale boxes within an app unless it's for that same company like for example if it's Washington Post wanting to sell me a book okay I'll go with that.
18:55:48 If I'll use the Washington Post app for that. But, you do have to be.
18:55:55 You do have to be. Wary and to give you an example specifically for this year this is an election year.
18:56:04 Roughly 2 thirds of the Messages that are sent out saying, please support our our candidate. The candidate doesn't actually get the money.
18:56:17 As in they have an example of the, a guy who ran for, and one in in Florida, a guy ran for and he won and congressional seat.
18:56:30 100% of the money that was collected by this one group in his name went to the guy who was running the collect money collecting operation.
18:56:40 His claim was that the operation cost so much money there wasn't anything left over to give to the candidate.
18:56:47 Ha!
18:56:51 Yeah.
18:56:47 So you want to be really careful about. How you give money and who you get money to. Like, another thing that people commonly do, I recently had one saying that my, My, Netflix account had expired and I thought, oh really?
18:57:07 So I looked at the email that it came from and the visible part of the. Email said it was netflix.com.
18:57:17 Okay, that's fine. But then it was dot. Gmail. So in other words, they created the domain that went to Gmail saying that my next, account, had expired.
18:57:28 Google doesn't track Netflix accounts. They, and, Netflix would never use Google to to.
18:57:39 To get you to resubscribe. So no, it was just, it was a scam.
18:57:43 But they came up with a, with an email address that looked. If you didn't look too closely like it might have come from Netflix.
18:57:49 You have to be, you have to be paranoid.
18:57:55 Yeah, I've since received a couple of request to fill out surveys and they look legit but I don't know they can do without my information.
18:58:06 Well, because it is an election year that you're gonna see a lot of people went to survey you.
18:58:13 Yeah.
18:58:13 Do you believe that toddler should be allowed to arm themselves to protect themselves in preschool?
18:58:19 Yes or no? Okay, I'm not gonna answer that. Survey. Yeah.
18:58:26 No, there's a lot of good stuff, yeah.
18:58:27 Yeah. Any other question? Yes.
18:58:29 Hi, I got one of those Netflix membership is expired. And we pay ours automatically. Every month and it comes out of my bank account.
18:58:43 So then.
18:58:43 Well, I I pay mine with my credit card so what I do is if I get something like that and it is from Netflix I do pay attention because it might be a credit card that's going to be expiring before the renewal.
18:58:59 So I'll check that way. But that's something I can do in my own home. I don't need to.
18:59:05 I, I don't need to do anything else.
18:59:08 Yes.
18:59:05 Yeah, well this says has expired. And the one my bank hasn't expired.
18:59:12 And also if if that was in danger of happening, Netflix would tell you they wouldn't tell you.
18:59:17 Right.
18:59:19 So be paranoid.
18:59:23 It's kind of a shame because Computers when they were originally, when I started using computers, computers were designed for computing.
18:59:30 They They add, subtract, and multiply, divided, they can do complex equations, so on and so forth.
18:59:36 Now we used computers chiefly as a communications tool. And because we use them chiefly as a communications tool.
18:59:40 Yeah.
18:59:43 They can be abused because they're a lot more powerful than the old telephone. This my iPhone here is more powerful than all the computers in the world combined in 1,970.
18:59:59 Just by itself. So this is an incredibly powerful Unix based computer and it happens to be in my pocket and I use it to play games when I'm in a waiting room at the doctor's office.
19:00:11 But you know.
19:00:11 Yeah.
19:00:14 Yeah.
19:00:15 It's a pity we have to be paranoid, but we do. And it is 7 o'clock and I should think about talking to our president.
19:00:25 Hello, President.
19:00:26 Hello Lawrence, how are you?
19:00:28 I'm fine.
19:00:29 Speaking of doctors offices, how is Kathleen?
19:00:33 I mean, that's a complicated question. She one sequence of therapy and we didn't get the result we wanted or that they wanted either and we're waiting for a bunch of referrals to come up with plan B.
19:00:49 Yeah.
19:00:49 So. She spends a lot of time snoozing. Right now.
19:00:57 But she's still at home. Okay.
19:01:00 And
19:00:58 Yes. In fact, he's watching the. The, the, meeting on our TV.
19:01:09 Yeah.
19:01:07 I'm using the Apple TV team. Rebarcast, the Zoom session.
19:01:13 Okay. Hi Kathleen. We miss you.
19:01:17 Okay.
19:01:18 I don't know if you could hurt here, but she said hi.
19:01:20 Okay.
19:01:20 Okay, I really don't have anything besides well just welcome everybody and
19:01:30 One second.
19:01:30 You're, it's going to tell us that I haven't sent in the invoices.
19:01:36 I know. I'm a bad boy.
19:01:38 Yeah.
19:01:37 Okay. And can you put in the sign in sheet on the.
19:01:46 I did put it in there, but I can copy it and. Hey, paste it again.
19:01:52 Okay.
19:01:52 I don't think I know how to do that well.
19:01:57 In the, meeting chat window is the link to the sign in sheet. And I use that for among other things, telling people that we have meetings.
19:02:09 Meeting chat.
19:02:06 So please, fill it out. And it would be immensely useful.
19:02:15 Okay, and now we have the Treasury report. Sound a free to look forward. That's we have thank you to the one member will send in the Do so we got $24 more than last month so we are at $2,442 and 93 cents
19:02:39 Until I send in invoice and then we'll have somewhat less better.
19:02:44 Yeah, there's a little bit less. Yeah, send it in when you have a chance.
19:02:51 Anything else before I do the presentation?
19:02:54 Are we gonna have any in person meetings anytime soon?
19:02:59 The answer to that is, with spring and it being warmer and more light outside, the answer is yes.
19:03:08 I would like suggestions in terms of what the what the. Topic would be I like in person meetings because among other things I'm assured it reminds me that there are really people out there who aren't small little boxes on my screen.
19:03:25 So, I like those. Plus.
19:03:27 You already have some ideas that you wanted to do that had to be done in person because of bandwidth.
19:03:35 Yes, there's some things that I want to do a in person because If I'm, we might run into of an issue today when I'm talking about artificial intelligence.
19:03:46 When there are certain things that I would like to demonstrate that. There's a good chance it'll interrupt the Zoom stream.
19:03:56 So. There are some things that are just a little bit difficult to do unless we do them.
19:04:00 Live, but, yes, there are some things I would like to. Like to pursue, but in terms of an in person meeting, yes, it would be nice if we had something in the May, June, July type, timeframe.
19:04:16 We can't meet at the library. Kathleen and I are planning tomorrow. To go to a groundbreaking ceremony where they break ground for the new library.
19:04:28 Yeah.
19:04:25 The library invited us because we're special people. So, we're going to go to that and the after they get done with the expansion, they're going to have a lot more.
19:04:37 Computer resources. So it will be curious to see if it's of, If it's something we can, take advantage of.
19:04:45 I don't exactly know what they're doing because they talk about it in general terms. I might find out tomorrow.
19:04:56 Yeah.
19:04:56 Yeah.
19:04:52 Lawrence, when you do AI tonight, can you really dumb it down? I don't know how many needed dumbed down.
19:05:00 But I even know, I'll see something in my daughter's like, that's AI.
19:05:04 That's that that picture is totally AI and I'm like. Or what's the other one?
19:05:10 It's not just AI. It's
19:05:11 Chat, chat, GPT.
19:05:13 Chat G is a considered an AI, agent. I am going to, I'm not gonna dumb it down, but I am going to address.
19:05:22 My particular bias is when it comes to AI. I don't know how many of you.
19:05:27 How do you, how do you?
19:05:29 How many of you looked at the movies that I put up?
19:05:33 Yeah.
19:05:33 The homework movies. The, If you haven't, you should take a look at the movies.
19:05:41 They're not terribly long. The,
19:05:47 What I use to create those, some people would consider AI. But I don't and I'll explain why.
19:05:55 But, anyway, I'm going to share my screen now so I can. Show off some stuff.
19:06:07 And the 1st thing I want to do is I actually have a. Slide show, which I know is not particularly Exciting, but.
19:06:21 Such is lie. And I'm going to post these so you don't have to sit here and read it.
19:06:28 And we're not going to start with that slide. We're going to start with this one.
19:06:37 The 1st I want thing I went to mention is there are many things you can do with computer. There are many different kinds of computers.
19:06:43 Yeah.
19:06:45 There are many different kinds of programming language, different kinds of programming styles, different kinds of programs.
19:06:50 And I mentioned that because a lot of what we do with people are calling AI is just programming. So I want to talk about what is programming 1st and then explain the difference.
19:07:03 This is the extended ASCII character set ASCII, American standard code for information interchange.
19:07:10 Is the standardized way in which computers. Store things internally and talk to one another. And as you can tell from the name, it's very North American centric.
19:07:22 It was developed during the 19, it was the standard was created during the 1950 s and pretty much every computer on the planet even ones that have never had anything to do with English use ASCII.
19:07:34 So when you see things that are written in Chinese characters, The computer itself is still using ASCII internally and it's using a much more extended character set to show the kind Chinese characters.
19:07:48 I'm going to show you, these, that's the extended character stat. It starts off, at 32, whereas 32. 32 is a space.
19:08:02 So starting from 32 to 255. Those are the characters in the ASCII.
19:08:06 Extended ask a character set this is a Fortran program which will print to the screen those characters from 32 to 2 55.
19:08:16 You don't have to understand it at all. Just that's what a Fortran program would look like to do that.
19:08:20 This is a cobalt program. To do the same thing print out those characters. Here's a p 0 1 program to do that.
19:08:30 PL one is not used anymore, but at 1 point IBM said this was going to be the programming language that everybody used.
19:08:38 That's why it's called PL one, programming language one. Here is an 80 80 assembler language program to print out those same characters.
19:08:47 Assembler is kind of like If you wanted to knit and you started off with the sheep and you actually, shared the sheep and carted the wool and made the strands and so on and so forth.
19:08:58 That's essentially what 88 is assembler is. You have to talk. It directly into computer speech, you can't use some English like language.
19:09:08 Here is a program written in snowball. You'll notice that this is the all the ones I'm going to show it.
19:09:14 Okay.
19:09:13 This is the shortest one. Snowball is my favorite language. When I was in grad school because it was designed to work with strings to a computer, anything that's not a number is a string.
19:09:26 And because I was working in the humanities, the strings were great. I was looking at this huge trial transcript and I wrote programs in in Snowball to do a analysis of it back in the days before people had come up with.
19:09:40 Tools for doing this kind of stuff. Here's a program written in basic to print those characters. Here's a program written in Ada, as a language done by the department, created by for the Department of Defense to create very rigid rules for things like weapons systems.
19:09:58 Here's a program done in Swift. Swift is the language used to make the Mac operating system make the.
19:10:08 Apps that you see on the app store, almost all of those were written in Swift.
19:10:14 Differences between AI and a traditional programming. And again, I'm going to post these slides. You don't have to read them.
19:10:21 Human programming relies on explicit sets of instructions. You, the programmer, write a set of instructions.
19:10:29 You try to anticipate how people will respond to those. To respond to the program and. Come to a desired result and the programs have a specific purpose.
19:10:43 Okay.
19:10:43 So when you write a program. The program does X does Y does Z. Microsoft Word, for example, it's a word processor.
19:10:53 It's never going to paint the side of your house. It can't trim your lawn.
19:10:57 Can't vacuum the floor. All it's going to do is be a word processor.
19:11:00 And even for the word processor requires a human to actually type. It's not going to do that on this own.
19:11:05 And if you have a game of chess. All this gonna do is play chess.
19:11:11 In machine language or artificial intelligence when it's done with machine language, you create programs that Allow the, program to teach itself.
19:11:24 So an artificial intelligence program has routines in it that allow it to ingest information and use that to change its own logic.
19:11:35 So instead of a person writing a program that does something very specific, The program itself is taught has taught itself how to do things.
19:11:47 That it may not have been originally designed to do. So that's a big difference between traditional programs and AI.
19:11:55 And it's also one reason why I think that a lot of things we call AI aren't really AI, but I'll explain that in a second.
19:12:03 Differences between AI and traditional programming, human programming relies on defined rules, you have a, you have a specific purpose with machine learning, it's designed to be flexible and to evolve over time.
19:12:20 The human programs are designed so that somebody can actually read the program and figure out what it's doing.
19:12:27 Machine learning models on the other hand tend to be very, very opaque. It's very difficult to figure out exactly how it came up with that result.
19:12:38 Scalability with human programming somebody has to actually do it somebody has to be fluent in not only the programming language but also in in communications some of the best programmers are actually writers and musicians and not computer scientists.
19:12:57 And if you want to have a big project, you need a lot of human programmers with machine learning.
19:13:04 The theory is that just by throwing additional computational resources, you can create. You can do more complicated things.
19:13:13 And then there's domain knowledge, the. A classic example is that if you have a very good chess program, it took programming by humans who were very good at chess in order to create that.
19:13:26 It's very difficult to have a chess program that's better than the programmers who created it.
19:13:32 Whereas with machine learning, because it's sucking in huge amounts of information that technically could be from multiple people, it might be better than anything that a, human could do.
19:13:45 And where am I?
19:13:50 I am here. There's also definitions. Sentient versus sapient. A sentient thing is something that's able to perceive or feel things around it.
19:14:03 Your cat if you rub it between the eyes is going to like that. Cause it can feel that and it responds to that.
19:14:11 If you have a deer that gets lost in your neighborhood, it's going to be frightened and because it's not next to its mother.
19:14:20 These are sentient creatures. They can are able to perceive things, they are able to feel things.
19:14:28 Artificial intelligence isn't at that level yet. And that's the lowest rank where it comes to.
19:14:36 Intelligence they really cannot perceive themselves and feel things sapien is even harder. Sapient things are considered wise there.
19:14:50 They're capable of problem solving. They're even capable of inventing problems to solve.
19:14:58 If you think about it, one of the most popular games ever invented was Solitaire, which is a sorting exercise.
19:15:06 And why do people do that? People like to play solitaire simply because our minds like to solve problems.
19:15:14 So that's something that. That, again, Artificial intelligence isn't there yet.
19:15:22 Artificial intelligence research requires computer science requires mathematics, requires cognitive science, cognitive science has to do with the part about being self-aware and making decisions and and how to learn.
19:15:36 Requires neuroscience, which is the study of how our brains function and get, insights on to how to program things.
19:15:49 But it also requires linguistics, the ability to communicate how communications theory works, philosophy to address moral questions and what is the nature of intelligence and things like that?
19:16:00 It requires electrical engineering, depending upon what you're doing might require robotics, which is applying. Intelligence to things that move.
19:16:10 Requires an understanding of physics because we're actually bumping up against the limits of physics with a lot of the stuff that we're doing now and requires the social sciences in terms of to give us insight into how these things are going to affect us culturally.
19:16:27 Dangers of artificial intelligence the big one is job displacement in the little video I put up the most common thing that a lot of companies want to do with artificial intelligence. They want to get rid of call centers.
19:16:44 They want to get rid of customer service. They want to. They went basically to have some machine tell you why you can't get a refund.
19:16:51 They're trying to cut costs. And so that's 1 possible problem with artificial intelligence. IS in terms of what the machine thinks is right and wrong.
19:17:03 A common tool used by a lot of loan companies and insurance companies and so on and so forth. Does demographic studies of places around the country and they say that if you own property or you have property in a particular area, you are a high risk and have to pay higher.
19:17:21 Premiums. Well, these tend to have economic biases so that if you're in a poor neighborhood you're a higher risk even though you might be perfectly capable you're going to pay more simply because of the biases in terms of the socioeconomics around you.
19:17:40 And in computer intelligence. Artificial intelligence. There's no way to overcome that bias because it's strictly data driven.
19:17:50 And if you say that that's a bad area, it'll say, okay, that's a bad area.
19:17:55 Privacy concerns.
19:17:58 Most of the artificial intelligence platforms that are out there right now now including things like Chat GPT, we're built using the database of millions of books.
19:18:11 That they did not ask the authors for permission and the books are a mixture of science books and mathematics books and philosophy books but also novels and one of the problems they run into is that they also looked at public databases.
19:18:28 So this data, but the most commonly used database has a whole bunch of information on, individuals up till about 2,019.
19:18:35 And so real problems with privacy there that should they have been scarfing up this data and should that be used to create the artificial intelligence.
19:18:46 You also have problems with things like autonomous weapons systems. If you have an autonomous weapon means the weapon can go out on its own and fire at somebody on its own doesn't need a human to say, that's a target.
19:18:59 It goes out and picks its own targets and fires. Probably not a terribly good idea. And there's also the fear that a lot of people have that the artificial intelligence may surpass our intelligence and they might decide that maybe we're a threat.
19:19:16 That's a common theme and a lot of science fiction movies. And even though We're not near that that that point it's still.
19:19:24 It's still something we should pay attention to. There are also security vulnerabilities. We have trouble.
19:19:31 Right now, securing systems that are designed to be secure. How difficult is it going to be to make something secure that we did not design?
19:19:40 That it was designed that the thing that we made is designed to learn and it could learn bad stuff. There's also social manipulation.
19:19:51 There was a There was a senator from. Pennsylvania who did something that one group did not like so they created a definition of his last name that was a vulgar act.
19:20:04 And now if you go search on a lot of search engines, you're going to see that the definition of his name is a vulgar act.
19:20:12 How did that happen? Thousands of people started writing that such and such equals such and such and so Google and Bing and everything learned that the definition of this word was this vulgar act.
19:20:25 And that's that kind of that kind of. Bias is very difficult for a computer to understand because a computer among other things doesn't really understand what it is to be a human doesn't really understand what it is to be a US Senator.
19:20:40 There are ethical, considerations on if these things really are intelligent, are you allowed to turn them off?
19:20:50 Yeah.
19:20:47 Or would that be murder? There are economic problems. Right now, most of the economic most of the AI systems are owned by people who are have at least hundreds of billions of millions of dollars if not billions.
19:21:05 So they right now control this type of research. And there's also the question of human autonomy.
19:21:12 Many of you might remember that when they 1st came out with electronic calculators, they were afraid that everybody would.
19:21:20 Would, stop. Learning how to do basic math. And there is. Some reason to think that that's something that we might be something we should pay attention to.
19:21:38 I'm going to show you a whole bunch of pictures that I created using an AI program called Firefly.
19:21:47 Firefly is owned by Adobe and in order to use it you have to have own some Adobe software and set up an account so and so forth.
19:21:56 I was fascinated when I saw some of the pictures of the total equillips of people. Looking at their phones instead of at the eclipse.
19:22:05 And so I said, okay, draw a picture of people looking at their phones during this eclipse.
19:22:10 And this is the 1st one that it came up with. What I did is I typed in the text and said, Eclipse of the Sun with a crowd looking at at their iPhones and it came up with this.
19:22:21 Well, most of the crowds not looking at their iPhone, both of them looking at the eclipse.
19:22:25 So that wasn't a good one. So I tried it again and I actually like this one slightly better but It's still not quite what I had in mind.
19:22:33 And this is based just upon a text description. This 1st one is an actual drawing. I wanted it to be a kind of a Art and it did pretty good in terms of the style there.
19:22:46 It's kind of art novelle. The second one I wanted more for So it came up with this.
19:22:52 Second drawing. The next thing I want to do, I asked for I said I wanted a frantic woman IT manager.
19:23:04 Frantic woman IT manager surrounded by many laptops and many raccoons eating computer tables.
19:23:12 So here's this frantic woman she doesn't look very frantic to me surrounded by laptops it's got that surrounded by raccoons but the Arab raccoons are not eating the cables and I That wasn't what I wanted.
19:23:27 This by the way is my joke that I tell people who are on the East Coast where they have high speed internet.
19:23:32 I say around here the the computer signals are actually taken back and forth by raccoon. So it's part of my joke about the raccoons.
19:23:41 So while I tried again and I got this one, she looks kind of harried. And there are raccoons, but she's eating the cables and not the raccoon.
19:23:50 So. Still didn't quite get what I wanted. But this is just a text prompt. What I typed into Firefly was Frantic woman IT manager surrounded by many laptops and many raccoons eating computer cables.
19:24:04 That's what I typed in to Firefly in order to get this photograph. This one worked out a little bit better.
19:24:11 I typed in, giant blue dragon looking at tiny bug and that's a giant blue dragon looking at a tiny bug.
19:24:20 And there's another bug like creature over here trying to run away. And I asked for a kind of a second one that's basically the same thing, but.
19:24:30 This one's kind of a close up of the giant. Dragon and the bug. So that's pretty good.
19:24:39 I, for other reasons that I'm not going to explain. Scones are Scottish and the Scots like T.
19:24:49 And I decided to combine the 2 and I said I wanted to Japanese samurai princess and armor having a cup of tea and a scone.
19:24:59 So here's the scone, here's the T, and that's sort of a Japanese princess, and it's, and it's done in this, a Japanese wooden block print style.
19:25:08 So that's when that one's not too bad.
19:25:15 There was an issue with. A new painting that was thought to be by Leonardo da Vinci and there was big to do about it and somebody asked for my thoughts on the subject.
19:25:27 And I decided what I wanted to send them was a for it was a picture of the Mona Lisa painting Leonardo da Vinci instead of Leonardo da Vinci painting Mona Lisa.
19:25:41 So I told Firefly One, Lisa as a painter created a painting of Leonardo da Vinci.
19:25:47 And that's what it came up with. Not quite sure understanding the mountains because there aren't mountains around there.
19:25:53 And I tried it again. Mona Lisa as a painter creating a painting of Leonardo da Vinci.
19:25:59 This one I Kind of like because it's a. It's not a bad, painting.
19:26:05 You can't see what she's doing. This one it got a little bit too creative and made Mimona Lisa look sort of like a Madonna, which is not quite what Mona Lisa was supposed to be.
19:26:16 Looking like. And I tried once more and this one's not bad at all because at least there's a picture of a man here.
19:26:23 And in this one, it shows that Mona Lisa is not necessarily a great painter, but It's getting to what I want to which was Mona Lisa painting Leonardo da Vinci.
19:26:33 And another try gave me this one. Which is a lovely, lovely painting, but. It doesn't really seem to have anything to do with Leonardo da Vinci, but it is a It is a nice painting.
19:26:49 My granddaughter lives in England and she was drawing a map. She said it was a map. And so I thought, okay, I want a child drawing a map of London and it gave me this.
19:27:00 And here's a child and I guess that's sort of like London and there's a of coffee, which is kind of weird because really probably not this child.
19:27:09 Favorite drink, but that's not bad. And. Then we were talking. My my background is Japanese history which means that it's also Asian history and somebody was talking about, they won a good Chinese restaurant that had fortune cookies and I said, fortunate cookies are not Chinese.
19:27:33 And I, and he said, what are they? And my response was, well, they were actually invented in San Francisco by a Japanese man.
19:27:39 But he wanted to know where's what's my source so I said here the ancient Chinese philosopher Confucius contemplating a fortune cookie.
19:27:50 Well, Fortune cookies were actually developed in the 20th century in San Francisco. Confucius knew nothing about it.
19:28:00 And this guy looks a little bit too contemporary to be Confucius and and I'm not quite sure.
19:28:03 Why a Chinese philosopher would be in front of, Mount Fuji.
19:28:09 Then I asked, I said, I had been reading the story in the, Japan Times, Japan has only one time zone.
19:28:20 The entire country is one time zone. So it's really Cool, cause you can be all over the country and listen to the same TV programs and the same radio programs and you never have to reset your clock.
19:28:31 It's it's it's great. But there was an argument about maybe they should have some a time zone for Hokkaido, which is the farthest to the east and the farthest north, it should be different from Okinawa, which is like, 1,800 miles away.
19:28:48 So I said I wanted 2 Japanese politicians arguing about daylight savings time outside of Japan's imperial palace.
19:28:56 And it gave me this. That doesn't look like Japan's imperial palace, but it's got a kind of a Japanese feel to it.
19:29:04 So that's not too bad. And then I just said that I wanted to have a photograph type and so it gives me a more photo realistic one.
19:29:10 These 2 guys are kind of weird. And there is a Japanese flag and there is a palace, but that particular palace is actually in Osaka, but you know.
19:29:22 Okay, that's it was trying And then I said I wanted a warrior princess and armor having a cup of tea and a stone.
19:29:32 So this is a. Different warrior currencies. She's not a Japanese princess, she's just a warrior princess having a cup of tea in Scone.
19:29:39 That's not bad. And this is another warrior princess having a cup of tea in the scone.
19:29:44 That's not bad.
19:29:46 We were talking about fairy, I was talking about furious with somebody on the East Coast and I said, well, we have ferries here in Washington State and they say, oh, but the fairies are kind of boring. Nothing ever happens.
19:29:57 Also, no, I said we also have water dragons and they said, what's a water dragon?
19:30:02 So I sent them this picture, which is a Why Washington State Ferry. Boat being chased by Water Dragon.
19:30:10 Okay.
19:30:13 Can't really argue with that. And here I said that a woman. Is fighting evil spirits, pouring out of a computer.
19:30:24 Looks to me more like electrical sparks than, an evil spirit, but, it's not bad.
19:30:29 I can tell by the keyboard, this is more like a Dell than a Mac, but you know, details.
19:30:34 And finally, I wanted a wood block print of London as painted by Hokusai. I'm kind of obsessed with Oak Hokusai.
19:30:43 This is kind of a good poker sized wood block print. It sort of looks like London except that there are no volcanoes in London.
19:30:53 Unless they've added one that I'm unaware of. But this is an example of what they call a what is being, promoted as AI.
19:31:03 And it's being promoted as AI because it uses machine learning to learn how art is created. And then it knows how to mimic various styles.
19:31:13 And I can't really show it to you because if I did it, would definitely kill the Zoom connection.
19:31:20 But I type in a text string and then I can specify, do I want it black and white to color?
19:31:24 Do I want it photorealistic? Do I want it to be? A particular style like this is a woodblock painting style, but it also has watercolor and oil, painting, different kinds of styles.
19:31:37 Is this really a I? I would say that this is machine learning because it's learned a lot about art, but it's not really artificial intelligence because it's designed to do a specific thing.
19:31:51 It's designed to take a string of descriptive string of text and create an image from that.
19:31:58 It's not really.
19:32:01 You might tell it in expert system. We created a system that's has a pretty good knowledge of art, except that sometimes it does really weird things like if you look at these 2 guys, they're They're physically distorted and if we come to One I had earlier of the Eclipse.
19:32:23 This woman's nose in particular. Is, it's got issues. So It's not it's not perfect, but as an expert system to.
19:32:37 Create artwork. For people who really aren't artists, it's not, it's not a bad setup.
19:32:44 Will it put graphic artists out of business? No. This is. It's not gonna put a graphic artist out of business.
19:32:54 It's not gonna put a photographer out of business, but it is a good demonstration of what they are calling AI, but I would call this an expert system rather than AI.
19:33:06 It's It's not, sentient and it's it's It's not there.
19:33:18 I went to show you another example.
19:33:34 And this shouldn't be too. Difficult for me to deal with. Somebody give me a subject.
19:33:44 Any else subject can be a person's name or color or autumn or something.
19:33:50 Milton's Paradise Lost.
19:33:52 I'm Milton's paradise. Okay.
19:33:53 Okay.
19:33:58 Right a news story. About the election in this. Dial. Of Milton's.
19:34:14 Paradise. That's the That was my prompt and what it's doing is writing this.
19:34:24 Oh my god.
19:34:24 Much longer poem than I was expecting. And let's see if I can blow it up.
19:35:01 No.
19:34:57 That's true. Yes, this is chat GPT. Is that artificial intelligence?
19:35:12 Well, if it isn't, what is it?
19:35:12 I will tell you something. It's it's better at writing blank verse than I am. I, I will give it credit for that, but this is really not artificial intelligence.
19:35:25 This is a tool. That's designed to parse language and feed it back to you. An example of the misuses of chat GBT.
19:35:35 Hey, certain. Famous lawyer until he got debarred. Submitted a brief and one of the lawsuits against him And he did it in chat GPT and chat, GPT made up.
19:35:52 Legal precedents and cited them and he turned it in. Not knowing that they were made up so they were completely imaginary.
19:36:00 The problem with the good news is that chat GPT can do this, which I think is impressive.
19:36:06 The bad thing is that chat D GPT does not know the difference between reality and fiction. And so among other things, they can read a whole bunch of Perry Mason novels and a whole bunch of other things.
19:36:20 Without the permission of the authors, ingested just millions of books. Including novels and in these novels they talk about cases.
19:36:28 So chat GPT when it's sitting there and things, okay, how does a legal brief work?
19:36:33 It knows the style of a legal brief and it has precedence, but it doesn't know that a precedent a case that Perry Mason is citing.
19:36:42 Is make believe. So this. Politician who is also a lawyer. One of his appeals was he submitted a brief that was done by Czech GPT.
19:36:54 A trademark case done in New Jersey. Oh, somebody use chat GPT to for his legal brief and it got thrown out because again, it was made up.
19:37:05 Chat GPT is an interesting toy. But it doesn't really know the difference between what's real and what's fake.
19:37:17 There is a, I mentioned it in a little clip that I had. There is a.
19:37:24 Novel out and I think the title is Abraham Lincoln Vampire Slayer. And it's a novel because Lincoln did not go out and slave vampires.
19:37:34 But it's the supposition of the, I haven't read the novel, but, the, the, the, the, the, the novel is that the Confederates were using vampires to try and, overtake the union during the Civil War.
19:37:49 And so, Abe Lincoln turned out to be a really good vampire. And that's the plot of the novel.
19:37:54 That is not real, but if you fed that to chat GPT, it would give it the same weight as a
19:38:04 As the Kerns biography of Abraham Lincoln because as far as chat GPD knows.
19:38:10 It's says this is about Lincoln and Lincoln did that's true. It doesn't have the ability to tell the difference between fact and fiction.
19:38:20 But in terms of just, you know, a short little thing done in the Style of Paradise Lost, fact and fiction.
19:38:30 But in terms of just, you know, a short little thing done in the style of Par
19:38:30 Well, it's not, it isn't. It's not blank bursts.
19:38:34 Well, I don't exactly know what to call it, but it's done in the style of Paradise Law.
19:38:40 So.
19:38:40 It's rhyming couplets as more like pope.
19:38:44 Okay, I'll go with that.
19:38:48 Anyway, anything, give me, give me another prompt that I can try out. One of the nice things about chat GPT is because it's all tech space doesn't use up that much.
19:38:58 Bandwidth so I can sit here and play with it.
19:39:09 Nothing? Okay, well I'm gonna ask it something.
19:39:10 Okay.
19:39:14 Make me a recipe. For very Chuck, Chuck, go that. Chip.
19:39:26 Okay, That's why prompt.
19:39:33 Oh my gosh.
19:39:39 Okay, now this actually looks like a fairly decent One cap. 2 sticks, unsalted butter, softened one cup, graduated sugar, one cup.
19:39:50 One packet brown sugar, 2 large eggs, 2 teaspoons, pure, vanilla extract, 2 cups all purpose flower, one cup, unsweetened cocoa powder, one teaspoon baking soda, one a half teaspoon salt, 2 cups, semi suite, chocolate chips, additional semi suite chocolate chips for topping optional.
19:40:08 Pre eat the oven to 350 degrees. Now this will cause this grief right here. I try making I'm not a cook.
19:40:16 I tried making something in our oven set at 350 and it didn't work at all.
19:40:21 And then Kathleen told me that our Stove is seriously out of calibration and it needs to be 75 degrees warmer in order to work so Oh well, this would not have worked for me, but it looks to my.
19:40:34 I is a pretty good. Chocolate chip cookie recipe.
19:40:41 And unlike Abraham Lincoln Vampire Slayer, this doesn't seem to have any fictional elements.
19:40:52 Anybody else have an idea for that I can try?
19:40:56 What is the best way to get rid of moles in my yard?
19:41:14 What is the best way to get rid of moles in my yard? It says starts off.
19:41:20 I have to show this to you.
19:41:23 Because the opening. Sentence cracks me up.
19:41:27 Yeah.
19:41:30 The Elussi Moles, those subterranean wanderers whose presence can wreak havoc upon the verdant tapestry of your yard.
19:41:38 Fear not, for there are strategies to bid farewell to these burrowing bandits. I think it's still stuck on.
19:41:44 Melton but
19:41:45 Yeah.
19:41:46 Yeah.
19:41:48 Physical barriers, repellents, traps, flooding, natural predators, grub control.
19:41:53 Maintain a tardy yard professional assistance. I will tell you something that I am fond of. Moles don't like vibrations.
19:42:03 And if you get these, you can go to almost any garden shop around here and get these metal.
19:42:09 Pinwheels that the wind blows. Stick those and moles don't like those at all.
19:42:16 You, I 1st noticed this when I was a child, we had, 1st several years of my life were on a farm that among other things did not have indoor plumbing.
19:42:29 And had dirt floors inside. We had a windmill and there were no more moles within 100 5,200 feet of the windmill because it was constantly creating vibrations.
19:42:41 Oh, this is a full size windmill that also pumped water, but it just these PIN whales, metal PIN whales that you can buy.
19:42:49 We have wind constantly around here and the vibrations, the moles don't like it.
19:42:52 So it may not help your entire yard, but it might at least. Discourage them and it doesn't put any poisons around or anything like that so I recommend.
19:43:06 Yes.
19:43:05 Lawrence, when you're typing this in, how is this different than just asking Google a question?
19:43:12 If you ask Google a question, it'll send you to a page that has things like that. But for example, I could ask for this, my chocolate chip cookie, or if I asked for it in Latin, let's see if it'll do that right a
19:43:42 Told it to write a chocolate chip cookie recipe in Latin. And. I have no idea what it says so I'm going to go with the fact that it must be in Latin.
19:44:00 Yeah.
19:43:56 I'll ask my resident Latin, expert, Kath. Kathleen is this Latin?
19:44:04 Looks like it.
19:44:10 Not really.
19:44:13 She's, somewhat skeptical. Although it did translate Fahrenheit into centigrade.
19:44:19 So, you know, that's a step in the right direction.
19:44:27 Okay.
19:44:31 It, it's different from Google in as much as it tries to solve problems and it will create things that did not exist.
19:44:37 For example, the political process. That didn't exist. I asked it to create something and it created that.
19:44:48 It's a different process than going and finding it. I actually posted on the, on the, the, straight max site.
19:44:59 A troubleshooting process that it came up with. That it it wrote as if it was I'm an evil scribe and told you.
19:45:13 How to troubleshoot your Windows machine. And chat that because I couldn't. I actually didn't I did not try to go look for one thing like that but what chat GPT does is it can create things but it's strictly a text-based is it can create things but it's strictly a text-based engine.
19:45:32 You give it, you give it a task and if it does it'll go out there and create it.
19:45:36 A couple things that it is limited by is the database that it uses for the language. There was 3 million books and such that it's based upon it kind of ends around 2,018 2,019.
19:45:50 So it's not aware of anything that happened since then. Originally it would do things like come up with slanders of current politicians and so on.
19:46:01 So, and it's they've stopped doing that. So if you try and And, same thing with, Adobe's Firefly.
19:46:08 If you ask it to have, a a photograph of Donald Trump writing a unicorn, it will say that that it'll say it can't do that.
19:46:19 If you say. I want a picture of a clown writing a Yukon. It would do that.
19:46:25 But if you Try and give up. A politicians name or some current person it say it can't do that.
19:46:33 Those rules didn't exist when they 1st came out. And you probably read in the paper about.
19:46:43 People using different search, different search and different AI projects to to put. Teenage girls faces on.
19:46:54 The, port actresses. Bodies and the controls aren't Not too many of the of these search engines have developed controls to prevent abuse yet.
19:47:13 That's 1 of the dangers of these tools. But none of these right now are really artificial intelligence.
19:47:19 They're machine assisted tools and they can create things that did not exist before. Such as those images that I, was showing you earlier.
19:47:31 But it's not really intelligence. Things to be aware of. A lot of companies are trying to work on putting, artificial intelligence into things like chatbots.
19:47:45 So you have a blender and the blender is not working and you you go to West Bend or whoever made it and you try and get them to, you know, fix your blender and you end up in this conversation with something you think you're talking with human being and exactly a chat bot.
19:48:01 And the chat bot is probably programmed in such a way that it's going to reject. Anything that you want that cost them company money.
19:48:10 You should be aware that things like this are actually happening. And. It's the uses that people put this technology to is not necessarily good.
19:48:22 But as a tool for writing chocolate chip cookie recipes in Latin It's great.
19:48:33 I don't know if it could do that in Greek.
19:48:49 Yes, it's writing something I assume is in Greek because I can't read any of it.
19:48:55 Yeah.
19:48:58 If you asked it to show you the Correct HTML and and cast digging style sheet language for to frame a put a picture or photograph.
19:49:11 With a drop shadow. And a border, would it do that?
19:49:17 Yeah, well. Let me finish. Okay, It's I think it's done with the great care.
19:49:24 I'll try something simpler.
19:49:45 Okay, I told it to write a basic language program to calculate the 1st 50 prime numbers. Why am I doing this?
19:49:53 It's because why not? It's gives it something specific to do.
19:50:01 And that actually would work. It just wrote a program to calculate the 1st 50. Prime numbers.
19:50:09 I'm familiar enough with basic that I know that that would work. So yes, it can do things like that.
19:50:15 This is one reason why people are afraid that people are going to use AI. To replace programmers.
19:50:22 One of the problems that you have is that people are really good at finding edge cases, which as an example is an edge case is people using.
19:50:30 AI to generate port. That's an edge case. The computers don't know that those are edge cases.
19:50:39 So if somebody comes up with a way to phrase that, the computer will probably do it. Whereas a human being could, they, it's called trapping, error trapping.
19:50:47 You put in conditions that it must meet in order before it does something. And when you're a programmer, you do that all the time.
19:50:54 I'll give you an example. When you type in a search query, and you press enter.
19:51:05 Google looks it up and if finds a page that matches that, Google sends your browser to that page, but on the receiving end the the server also gets to log what the search party was.
19:51:19 Well, when I was working for NOAA, a very common question we, I would get.
19:51:24 The website would get was I work for National Ocean Service. So it was questions about the ocean. How much sperm does a sperm whale hold?
19:51:35 If I looked at these queries, which we got a lot of, you could tell that they were coming from junior high and high school kids and and people probably drunk in bars and so on and so forth.
19:51:47 So I created a query string that looked for sperm whale and did not contain the word weight.
19:51:57 Because if somebody wanted to know how much a sperm whale weighed, I have an answer for that.
19:52:01 But if they ask how much sperm was in a sperm whale, I sent them to a page that said, and this is almost a direct quote.
19:52:09 As much as you will find in the average American high school.
19:52:14 Now that actually says nothing at all because most people don't know what an average American high school is.
19:52:22 They it's implied that maybe I'm talking about the the. Kids in high school, but it doesn't actually say anything.
19:52:29 And I did that to stop people from asking questions like this. We just give them that page all the time.
19:52:36 And that's a way in which I could error trap for people trying to do things that I really didn't want them to do.
19:52:44 AI program has no such constraints. You tell them to solve a problem. It will take what it knows and combine it to solve a problem.
19:52:53 Many of you have probably seen YouTube videos of cats writing around on a Roomba. And there are also you can get little robots now, a Roomba vacuums up your floor, but they're also robots that trim hedges.
19:53:21 Yeah.
19:53:06 Well, if you told an AI program Make the cat stop. The robot might think that the the program might think, okay, I'm going to get the cat on top of the Room but gonna go outside and then I'm gonna use the hedge tremor to silence the cat.
19:53:27 To the AI program. It has solved the problem. To you, that's pretty horrific, but it took 2 data sets on how to solve problems.
19:53:36 Mashed them together and came up with an unacceptable solution. Humans can guard against this in the way we program.
19:53:44 We don't know that AI has that ability.
19:53:49 I probably didn't answer your question, but. You can get it to to write programs.
19:54:17 I told it to write a CSS segment for displaying a picture with the drop shadow and it gave me a block of code.
19:54:29 Which looks like it would that actually work?
19:54:37 And it list down below it the explanation of how the. Code work. So yes, it will do it's pretty good at writing code.
19:54:46 Sometimes the code I've noticed is very generic. I and Hmm, it does make any miss.
19:54:56 I can criticize the code, but I'm in human. So that's my, prerogative.
19:55:03 Anything else you want to try and torment it with?
19:55:07 Yeah.
19:55:06 Yeah.
19:55:14 Yes.
19:55:12 Lawrence? I see. Carol. And Marsha each.
19:55:22 Oh.
19:55:20 Have their hands up. And I'm unable, I'm unable to find. Anything that will let me put my hand up today.
19:55:29 But it looks like they have questions. But they're both.
19:55:36 Yes. Marshall, you're on mute.
19:55:41 Do you have a question?
19:55:50 Marsha, do you have a question?
19:55:56 Hmm. Anybody else have a question?
19:55:59 No.
19:56:00 Yes, Chris, go ahead.
19:55:59 I have a story. I have a story. I'm, I'm very interested to hear the term job displacement.
19:56:09 And also expert systems. Because in 1985 I and for other librarians gathered to form.
19:56:21 The artificial intelligence slash expert systems interest group. Of what was then. The Information Technology Division.
19:56:34 The American Library Association. And artificial intelligence didn't really.
19:56:44 F too much it was the expert systems that had lots of librarians scared they were going to be put out of jobs.
19:56:51 So 3 years in a row. We filled a hotel ballroom, the 1st one in Chicago, I think it was in 1986.
19:57:03 At the annual convention. We had standing room only. They were well over 300 people. To hear a panel.
19:57:14 Yeah.
19:57:11 And we called it Deus X Makinov. And then being struck with. Total.
19:57:21 Imagination paralysis. The second year we called it Dais X Machina, Roman numeral 2.
19:57:30 And then the 3rd year, Roman numeral 3. And after that, we either ran out of people who were willing to be on a 5 person panel talking about expert systems and AI.
19:57:43 Or interest dropped off or the bureaucracy of the institution decided we'd had our run.
19:57:51 Or we ran out of. People to form the interest group. There. In any case, that was 1985 and that's almost 40 years ago.
19:58:03 Yes, the I happen to I happen to be interested in this because I put myself through grad school working for Washington State University Library and I was one of the programmers for the Washington State Library Network, which was the first.st
19:58:22 Yeah. Yeah.
19:58:19 Statewide library network. In the country. And what I did was the catalog, I worked on the cataloging part.
19:58:28 And one of the things that, that you have problems with with with expert systems or with artificial intelligence is humans and how we see things.
19:58:41 For example, There are rules for how you catalog things, the most, famous of which are the ones we developed in the United States called the Anglo-american cataloging rules.
19:58:53 Right.
19:58:53 And they still exist and they're still in use but pretty much everybody else copied them. It's, yeah, I thought it was really interesting.
19:59:01 I was in the National Library of Finland. Oh, 5 or 6 years ago. And they use the Library of Congress.
19:59:10 Classification system in their national library. But one of the things that you do is that in order to sort things properly in different languages, you have to have special rules.
19:59:24 For example, Under the Anglo-american cataloging rules, the any Scottish name that ends in MC or MAC is alphabetized as if it's spelled MAC in full.
19:59:37 So you'll have McDonald and Macaroon will be listed together, whether it's spelled with MC or MAC.
19:59:44 That's something that you have to teach the computer. That we do things this way because otherwise all the MCs are going to be, separated quite a ways from the ones that are MAC.
19:59:56 So that's 1.
19:59:56 Yeah, but that's a, but that's a sorting function.
19:59:59 That's a sorting function, but it's also something where a human has to intervene and tell the machine that just because the machine can do it one way that's not the way we want it.
20:00:10 I had a fellow Asian historian his last name was Tenbrook and I can't remember what the nationality is but 10 Brook is spelled T and BR or okay so brook seems fine but in the front there's 10 and 10 is in lower case so 10 brook That doesn't follow the way that computers do things when they have names they want to capitalize it and the computers would capitalize the T
20:00:37 in tenbra and it really irritated him so I had to create a special rule for whatever. I don't remember that what nationality uses that prefix.
20:00:47 And we did the same thing for Van and Von and so on and so forth. These are all things that require human intervention to do them correctly.
20:00:54 And AI systems have real trouble doing things like this because to the AI system, that American standard code for information exchange.
20:01:04 A lowercase a is sorted after an upper case A all the time. Doesn't make any exceptions.
20:01:11 So to teach it to sort of the way we want. Takes human intervention and if you tell it to just go and Sort books, you're going to not necessarily have what you want.
20:01:22 You can do that just with Apple, books. In Apple's books. It really irritates me that sometimes Isaac Asimov is under I instead of under A.
20:01:33 And I have no real control over it because. Whoever made the book that's the metadata they used and so that's why we're it sorts it there are some There are some real fears that there will be job displacement with artificial intelligence, but it's also going to create a whole new category of people who will set about fixing AI systems to do what we really want them to do rather than what
20:02:03 they want to do on their own.
20:02:10 Kathleen was talking about what the, what about the use of AI for slander.
20:02:15 This is something that we've actually seen some examples of this year where people are using, they want to say something nasty about somebody else and they can't think of anything on their own.
20:02:22 So they, they pose a hypothetical to one of these expert systems that comes back with suggestions on things that can be done.
20:02:31 And I don't really consider that. Problem in and of itself because it's it's it's still slander by a human being.
20:02:42 What I do worry about though is that you you end up doing things like that center from Pennsylvania where associating his name with a vulgarity.
20:02:52 Becomes the norms of when you search for his name, that's 1 of the things you'll find is the And that's.
20:02:59 That is definitely a problem. Any other questions?
20:03:05 What if you ask chat GP something like this? What did Jesus mean in the Bible when he said, I am the way, the truth of the life?
20:03:15 Yeah.
20:03:14 Okay. I'm not sure my pastor will go along with this.
20:03:21 Yeah.
20:03:36 It's light light not LIFE
20:03:42 I'm sorry?
20:03:44 And it should be LIFE, not white.
20:03:48 And that manner.
20:03:47 Oh, I'm sorry. Paul, you had a question?
20:03:56 Yes.
20:03:53 Oh yeah, you gave us some homework to do. And, I dutifully watched it and and I noticed in your the Japanese Soviet Well, you had 12 little printers.
20:04:11 Now did you create that from AI or one of your apps or? Cause and I was wondering what was the purpose of the of the exercise.
20:04:23 Okay.
20:04:22 Because I notice that Who are the creatures? Weren't quite what they said they were.
20:04:32 Pardon?
20:04:29 Yes, well actually 3 of them were. 3 of them weren't. The unicorn is not really a horse.
20:04:37 Right.
20:04:37 The is not really a snake and aquala bear is not really a sheath but
20:04:42 Right, I didn't I didn't catch the snake one. Yeah.
20:04:45 The, They originally started as the I was having a discussion with someone about he was born in the year the snake and he wanted a snake, oji so that when you talk to me I'd be talking to snake he's Japanese and he was born in the earth.
20:05:01 Kathleen? Are you? Yeah, Kathleen was born in the US Snake as well.
20:05:06 I was born in the year of the Dragon. And our daughter was born in the year of the Ox.
20:05:10 But anyway. Memoji, we're created, emoji, we're originally created by a Japanese artist.
20:05:17 And they started using them on telephones for instant messaging in Japan. And gradually they became this huge thing so that now I think the iPhone can create something like 300 different emojis.
20:05:29 With, skin, different skin tones and it's got, all the flags of all the countries in the world and all kinds of stuff.
20:05:39 But memoji, which are these animated ones I created on my phone And what I did is I went into my phone.
20:05:49 And I said to send myself a message. And then I selected the option for a emoji.
20:05:55 And I picked those various animals and then I spoke them. And I did this. I made that video originally for my friend who was complaining about the fact that there was no a snake.
20:06:08 But it was also an example that I wanted to show you because I wanted to ask you the question.
20:06:15 Did I do that with artificial intelligence?
20:06:21 How many of you actually looked at the video?
20:06:25 Did I do it with artificial intelligence is the question.
20:06:29 No.
20:06:29 No.
20:06:31 Why not?
20:06:35 It was probably canned. I mean.
20:06:39 Well, the,
20:06:44 Let's go here, Great to send myself something. I'm going to pick, emoji.
20:06:54 And I gotta pick this one. Okay. This is Lawrence talking as if he's a tiger.
20:07:04 This is Lawrence talking as if he's a tiger. Okay, now I'm going to hold this up to my
20:07:15 To the camera and there is me. And the tiger, Momoji. And if I click it.
20:07:21 Yeah.
20:07:23 If I, well. Trust my word if I click on it, it will. This is Lawrence talking as if he's a tiger.
20:07:31 I did that with my iPhone.
20:07:40 I did that just on my phone. I wrote out a script because I wanted to know what I was going to say because among other things I sometimes would get ahead of myself and say a word that I wasn't in tending to but wrote out a script.
20:07:52 Picked out the emojis that I wanted for the zodiac and then had them say their name, say what they were in Japanese.
20:08:03 Is that artificial intelligence? I'd say no because Apple designed it to do that. Maybe not exactly what I was doing, but the Apple designed the iPhone to do that.
20:08:13 However, it takes a huge amount of machine learning to do this. The iPhone has a whole bunch of neural, what's called neural processing units, which are specialized CPUs that that are used to, I gotta turn offs.
20:08:31 Sharing so I can actually see. It has a whole bunch of neural processors on the iPhone that are designed to deal with things that are not.
20:08:41 That you can't add, subtract, multiply, divide such as pictures. And when, when you log into your phone, if you have a phone that's got, facial recognition, there's this bar up at the top.
20:08:56 That you can't really see cause I got a dark background but There's a bar up at the top that's a black bar.
20:09:04 That has thousands of little infrared emitters in there that when you use facial recognition, it bounces infrared light off your face and it can tell, it can tell, for example, my nose as part is closer to the phone than my cheekbones are.
20:09:20 Because and it can make a 3D map of your face. And when you do facial recognition, you have to move the phone around and move your head around so that it can get a picture of your phone.
20:09:29 And it concentrates particularly on the eyes. That's why they came up with a special feature. If you have facial recognition, you can put a mask on it and the facial recognition still works because it concentrates particularly the area around the eyes.
20:09:42 Apple designed that for face ID. Some programmers at Apple were playing around with and they say, if we text your map, you know, a clown face on it, we can talk as if we're a clown.
20:09:57 And instead of having a clown, which has, it can scare people. They used animals and they use cute little cartoon animals.
20:10:05 They didn't use scary little animals and you can make, And so that's what I used for the 2 videos that I did.
20:10:12 Is it artificial intelligence? No, does it use machine learning? Absolutely. Lots and lots and lots of machine learning.
20:10:20 The neural processing units on this iPhone can process billions of things a second. Not millions or thousands, but billions of things a second.
20:10:32 And when it's dealing with something that You cannot add, subtract, multiply, divide, which is a picture.
20:10:38 Or song or things like that. It does pattern matching to match the shape of my face to put that tiger face over the top so it knows where my lips are and makes my lips move.
20:10:49 Okay.
20:10:52 And if I blink the eyes blink and depending upon what I do, sometimes you can even make the little ears slicker with some of the, All of that's done with a staggering amount of machine learning.
20:11:04 That people think is artificial intelligence, but it's not really. It's not It's not the machine picking out a problem and figuring a way to solve it.
20:11:14 It's the machine doing what it was designed to do, but in a general way. It went from the general thing was facial recognition.
20:11:22 The more specific thing that I was doing, I was using it to be basically a puppet. And I was using a A staggering amount of technology to do that.
20:11:33 Yes.
20:11:32 Lawrence. Someone said that if I, that it's possible to use AI in writing a resume.
20:11:41 Yes.
20:11:42 If I was to do that, how how do I go about doing it or what program or? Yeah, I'm lost.
20:11:52 The what do you, what you, the easy thing to do and you could just do this on Google, you could go into Google and say, give me a form for writing.
20:12:05 And it'll give you a form. But with chat GPT, you would say something like, I have, 6 years experience at underwater demolitions and I know how to cook pasta and I've climbed Mount Everest.
20:12:25 And I have a cat named Fred. Please write a resume to be a bellhop at this hotel using this is my experience.
20:12:34 It'll come up with a resume. Probably a pretty terrible resume, but at least you'll see the outline of what that kind of resume would be.
20:12:41 What order it puts things in, how it emphasizes things. That's, the true value of that chat GPT can have.
20:12:53 If you've never done a resume, it'll give you a nice form to follow and you've never done a resume, it'll give you a nice form to follow and you change the content too.
20:12:57 To fit you. And that's the people who've done useful things with chat GPT.
20:13:03 That's, the starting point where they are trying to do something different and they want to know what what the proper form for that is.
20:13:10 I know somebody who made a will that way. Give me the outline of a will that's valid in the state of Washington and they gave them, the outline of a will.
20:13:21 So you just go through the change the specifics.
20:13:21 So. In a resume the way I've seen it when. Years ago. So it's been over 20 years since I've ever written a resume.
20:13:33 Do, how do you add all that fluff? People make them so fluffy and they're so full.
20:13:39 I hate to say it, it's so full of words that doesn't necessarily Like just not the nitty gritty's.
20:13:47 The you will see that A lot of people right now, they use professional programs to sit and evaluate resumes.
20:13:56 And the professional programs are basically the expert systems that one that Chris was, saying that would replace librarians that there's no chance of that happening, but.
20:14:07 These things, these resumes look for things that can be classified as skills. So for example, if you know how to type, if you know how to speak Spanish, if you know how to do whatever.
20:14:21 You list those skills and these programs that they're looking for somebody who can speak Spanish knows how to use a telephone and can type 50 words a minute if that meets their criteria you'll pop out.
20:14:33 But they're looking for skills more than fluff. You say I'm really interested in making the world better and bringing peace to mankind.
20:14:42 That sentence does not mention any kind of skill, does not say anything about any qualifications. That's that's an aspiration, but it's not a qualification.
20:14:54 So you went to you want to emphasize skills. And. And chat GPT can't read resume for you, but it can show you the format for resume and the order in which you put things.
20:15:08 And that's actually fairly standardized.
20:15:12 I have.
20:15:12 Okay.
20:15:15 I've written a lot of curriculum vetas. I haven't really written that many. Resumes.
20:15:23 But again, the resumes were focused upon skills. And I knew I was going to get the job anyway, they just wanted to resume for their file.
20:15:29 So.
20:15:32 But focus on skills and abilities and not. Not aspirations and They really could care less about your pet frog and things like that.
20:15:43 They do kind of like, dehumanize things. If you like course back writing, That's where the engineering or you are an amateur astronomer.
20:15:54 That's the kind of thing that. That humanizes things and sometimes sets you apart from somebody else but they're really looking for skills and today larger companies about 80 to 90% of them use, resume programs they just feed the resumes in electronically and it spits out a list of things that, you know, well, take a look these and ignore the rest.
20:16:17 I hate to say it, but that's the way it is.
20:16:23 Thank you.
20:16:26 Other questions?
20:16:31 Did anywhere, everyone sign in?
20:16:33 Oh, no. How do I do that?
20:16:35 Yeah. Okay.
20:16:36 Okay. I shall paste the link into the chat again.
20:16:43 Hmm.
20:16:44 So if you could sign and that'd be nice. And. 2 things.
20:16:50 One is. I think about what you would like to have in an in person session. I have ideas on myself my own.
20:16:56 And the second thing is what do you want to do next month?
20:17:02 Okay, while everybody's thinking of those questions, I'm interested in the photography book that you talked about in your earlier email.
20:17:12 So how do I go about? Getting one.
20:17:19 Yeah.
20:17:16 The, take control photography book on with iPhone photography. If you just go to that link, you'll go to a website.
20:17:24 And you pay the money and it downloads it to your computer, you double click on it and then opens up in ibooks.
20:17:32 And once it's in your ibooks library, you can look at it on your phone as well as on your.
20:17:38 Desktop machine or tablet or however you went to look at it.
20:17:43 So, and payment is some sort of a credit card.
20:17:46 Credit card yes.
20:17:49 And I got an Apple credit card. Thank you very much. For suggesting that.
20:17:54 I'm very fond of my Apple credit card. If you give somebody an Apple credit card, it has your name on it.
20:18:00 There's no number. There's nothing else on the card. So there's nothing that anyone can steal.
20:18:07 It does them no good at all. But it's it's and also they made a titanium so you can use it as a very small bulletproof vest.
20:18:17 Oh
20:18:17 Yeah.
20:18:23 Suggestions for next month.
20:18:27 Are we meeting in person or zooming?
20:18:32 Kathleen and I have to do a few things that might interrupt our schedule. So I'm kind of.
20:18:39 Hesitant to do it in person when until we have a very specific plan. so that probably is not gonna be something we do in May, but might be something we do in June.
20:18:57 So next month was probably gonna be via zoom.
20:19:02 Okay.
20:19:04 You mentioned before showing us about how to create a web page. Hello. Maybe you could explain the advantages of doing it yourself from scratch versus
20:19:18 Contracting with software like WordPress.
20:19:22 Well, WordPress is how our site is set up. WordPress is the software that I use to do it.
20:19:29 If you wanted a WordPress site, you either make one yourself or you contract somebody to use WordPress to make it for you.
20:19:35 But, I've probably made. At this point, I probably made 7, 800 websites and over the past.
20:19:46 Oh, 6, 8 years. I probably made. 50 of those in WordPress. The ones I made before were done by hand, where I actually wrote the code.
20:19:57 And. I made lots and lots and lots of those because I was being paid to do that.
20:20:04 But now that I'm not being paid to do that, I tend to use WordPress.
20:20:08 So this word plus does it have like templates and you just You know, with Laura MIPS, some text that you replace and So on our
20:20:16 Yeah, well WordPress calls them themes, but yes, they have themes for bookshop themes for a photography studio themes for all kinds of things.
20:20:26 And there are free themes and they are paid themes. What I would do if I did a presentation nights I just start from scratch going to WordPress pick a theme and start showing you how you add stuff to it.
20:20:39 It's not really that difficult. Most people with a website, the problem that they, the average website in the world, the average website in the world has one page.
20:20:52 Just one page and that's because some restaurant says they want a website with their menu so they contract with somebody for a hundred 5,200 bucks and they create a 1 page site that's got their menu and that's it.
20:21:07 Or the same thing for barbershops and so on and so forth. So they can be very, very simple.
20:21:14 Or they can be, I have, I have websites in my own that have thousands of pages.
20:21:19 That are just mine. So, it depends upon whether or not you're willing to actually put the content up there.
20:21:26 So part of it is a writing process and part of it is a technical process. But with WordPress, it's the technical barriers are much less than with almost any other way to do it.
20:21:42 I think that would be interesting.
20:21:46 Just keep an eye.
20:21:45 Okay, well. That is something that I am more than willing to do because I have lots of experience at that.
20:21:59 Okay.
20:21:55 And probably along the way I could also tell you how not to build a website. I have seen some just horrific websites.
20:22:05 Kathleen, who's, has 5 degrees and is members of various professional organizations.
20:22:18 Okay.
20:22:13 She was asked to register for this one conference. Year last year, year before. Every time she would put her information in there when she could print submit, nothing would happen.
20:22:23 And that's because when they built the website, they had this submission process for submitting your curriculum, and all that sort of stuff.
20:22:31 But they didn't have a database behind it. So the button for submit didn't work. It couldn't do anything with that data.
20:22:37 Okay.
20:22:38 And she, she got very frustrated and had me come and play with it. We broke out our Windows machine to make sure that it wasn't just discriminating against Max and no they hadn't actually.
20:22:51 Oh
20:22:49 Tested it. It didn't work.
20:22:51 Yeah. Yeah.
20:22:55 So would this be for in person?
20:22:59 No, this is something we can do remotely.
20:23:02 But that right there is the kind of thing that. People can run into which it would be helpful for you to cover.
20:23:12 For example, I ordered some iris from up. Place called Schriner's Iris Garden and in Oregon one of the famous Iris growers in the United States.
20:23:24 Very good place to buy stuff. Anyway. I use, my iPad and. They wanted me to set up an account so I did that using the, hide my email business.
20:23:38 But then I, there was no. There was no log out, but he says, well, there is on my screen.
20:23:55 Yeah.
20:23:45 So. So I wound up going to my desktop computer, my Mac. And looking at sure enough there it showed me a log out button but on the iPad it didn't So this is they somebody hadn't tested something.
20:24:01 Well, I had a manager who wanted people to he thought the only people would use their website where people in his own organization and he wanted to be logged in all day so he didn't want them to be able to log out.
20:24:14 Yeah.
20:24:14 So I created a lot out button anyway and when you went to try and push it, it would move it.
20:24:24 Yes.
20:24:19 Oh, you stole that idea from early Macintosh. Remember the bomb? That's exactly what I would do.
20:24:29 I'd run away.
20:24:29 Yeah, so he couldn't log out because the button would run away. But, He didn't realize that you could just quit the browser and that would also log you up, but you know, details.
20:24:39 He wasn't. I asked that he be replaced as the head of this project because he was impossible to deal with, but Be that as it may.
20:24:51 I'll, show you how to build a website next month. How's that?
20:24:54 That's great.
20:24:55 Okay. Have fun. See you next month.
20:24:59 Thank you.

Tag: Privacy

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