TechTime with Nathan Mumm
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TechTime with Nathan Mumm
253: AI Gone Wild - Google quietly unveils AI and accessibility upgrades. Phil Hennessy breaks down the unseen power of Large Language Modules. In the nugget, we dig into the secrets behind the upcoming iPhone Pro | Air Date: 5/20 - 5/26/2025
The boundary between technological innovation and absurdity blurs in this fascinating exploration of AI's growing influence on our lives. We kick off with Google's latest accessibility features for Android and Chrome, where Gemini AI now helps visually impaired users understand images and captures not just what people say, but how they say it—recognizing that a simple "no" versus an emphatic "NO!" carries vastly different meanings.
But the conversation takes an unexpected turn when we reveal perhaps the strangest AI story yet: a Greek woman who divorced her husband of 20 years based solely on ChatGPT's interpretation of coffee grounds. Without confronting her spouse, she filed papers after the AI claimed he was having an affair with a younger woman. This bizarre incident perfectly illustrates what our guest expert Phil Hennessey later emphasizes—AI systems can "hallucinate" convincingly false information, making critical human oversight essential.
Cryptocurrency exchange Coinbase demonstrates a refreshingly aggressive approach to cybersecurity after experiencing a major data breach. Rather than paying the hackers' $20 million ransom demand, they've established a bounty of the same amount for information leading to the identification of those responsible. It's an innovative counter-strategy that could change how companies respond to cyber threats.
Phil Hennessey delivers a masterclass in understanding large language models, explaining that these systems don't actually memorize information like humans but create statistical word maps through neural networks. His insights culminate in a powerful warning about over-reliance on AI potentially eroding our critical thinking skills—coining the term "Human In The Loop" (HITL) as the necessary safeguard against technological overreach.
From Waymo's ongoing self-driving challenges to the latest iPhone 17 rumors, we round out the show with our signature whiskey tasting of Blanton's Gold Edition bourbon. Join us for this thought-provoking journey through the promise and perils of today's rapidly evolving technological landscape—where sometimes the most important lesson is knowing when not to trust the machines.
Thank you, pull up a seat, raise a glass with our hosts as we spend the next hour talking about technology for the common person. Welcome to Tech Time Radio with Nathan Mumm.
Speaker 2:Welcome to Tech Time with Nathan Mumm the show that makes you go hmm. Technology news of the week the show for the everyday person talking about technology, broadcasting across the nation with insightful segments on subjects weeks ahead of the mainstream media. We welcome our radio audience of 35 million listeners to an hour of insightful technology news. I'm Nathan Mumm, your host and technologist, with over 30 years of technology expertise. Our co-host, mike Reday, is in the studio, of course, and he's the award-winning author and our human behavior expert, and he's going to love today's episode because it's all about AI, so he'll be excited about that, right, mike?
Speaker 3:Yes, all right, there you go.
Speaker 2:We're live streaming the NRC on four of the most popular platforms, including YouTube, twitchtv, facebook and LinkedIn. We encourage you to visit us online at tech time radiocom and become a patron supporter at patrioncom forward slash tech time radio. We are all friends from different backgrounds, but we bring the best technology show possible weekly for our family, friends and fans to enjoy. We're glad to have ODR producer at the control panel today. Welcome everyone. Let's start today's show.
Speaker 1:Now on today's show. Now on today's show.
Speaker 2:Today we dive into the mysteries lurking beneath the surface. Somewhere in AI, whispering a warning that would shatter a marriage. But was it forethought or something far more unsettling? Elsewhere, a breach has left sensitive data exposed in the shadows, raising troubling questions about who might be watching. Google quietly rolls out a new AI and accessibility features, hints at something transformative, but could this be innovation or not? Meanwhile, phil Hennessey steps into the conversation to unveil the hidden works of large language models, the silent architects of artificial intelligence. Finally, whispers of the next iPhone grow louder. Yet only one true secret is known, and we'll be talking about those on the Nathan Nugget. Is that why you're whispering?
Speaker 3:That's right. This is a mystery. It was a mystery intro it wasn't a mystery. It was just you sounding like you had laryngitis.
Speaker 2:Okay. In addition, we have our standard features, including Mike's mesmerizing moment, our technology fail of the week and a possible Nathan negative, of course, our pick of the day, whiskey Tastin To see if our selected whiskey pick is zero one or two thumbs up by the end of the show. But now it's time for the latest headlines in the world of technology.
Speaker 1:Here are our top technology stories of the week.
Speaker 2:All right Story number one Google rules out a new AI and accessibility features to Android and Chrome. Let's go to Lisa Walker for more on the story.
Speaker 4:Last week, google announced new AI and accessibility features for Android and Chrome. With the updated TalkBack, android's screen reader users can now inquire about the content of images using Gemini. For instance, if a friend sends you a photo of their new guitar, you can receive a description and ask about its brand and color. Additionally, descriptions are now available for your entire phone screen. This means that while shopping in an app, you can ask Gemini about the material of an item you're interested in or check if there is a discount. Now that's an AI everyone can support Over to you in the studio.
Speaker 2:Is it, is it really? Well, besides what Lisa mentioned, google also announced that it's updating the expressive captions that's, android's real-time captions features to use this AI to capture when someone's saying and how they say it. So this is, I guess, a very important aspect is I can say no or I can say no, and they have two different meanings, right, so each of those mean something quite a bit different. A no could just be a simple no, whereas a no could be very emphasized and say with meaning, and, and so the ai now is taking this into effect to capture this and be able to translate this back. Now. Just think of you were having expressive captions and you're a sports announcer and you say it's an amazing shot or it's like a way to go hit home. Run the inflection, the whistling, the clearing of the throat. There you go. Clearing the throat is all important aspects.
Speaker 3:Where's my caption there?
Speaker 2:that's available now. Google's also making it easier this is the big win right here to access PDFs on Chrome, because it used to always go on. You open a PDF and normally open up. Like. The big win right here To access PDFs on Chrome, because I used to always go on. You open a PDF and normally open up, like the Edge browser, if you're on a Windows PC and if it didn't, I have a PC with Windows and then you would open up in Safari and normally have the PDF default.
Speaker 2:Now Chrome has a PDF default reader and it allows Chrome to recognize these types of PDFs, allows you to highlight, copy and search for text like any other page you use on your screen reader to find them. This is thanks to the new introduction of optical character recognition, which is OCR, and Google now has that standard on all their Chrome browsers. So if you're going to open up a PDF moving forward, you're going to now be able to do searches, be able to edit it all for free in the Chrome browser. All right, well, there you go. Google is now trying to have these features be important. They also have page zoom, they have a couple other things, and they are spending time right now really hitting the accessibility options and growing those out for a smaller demographic, but a very passionate demographic of individuals that need to use the web, that want to use the web and have the full features that are available. All right, see, now that's a positive AI thing, right, you know?
Speaker 3:yeah, that's a positive AI thing. I don't know how positive it is. It has to work. So yeah, I know I got Gemini on my phone. What was Gemini you mentioned?
Speaker 2:Gemini, yeahini, gemini is the Google, so that Gemini is Google, is that okay? That came on my phone that's probably because it's a Google based phone. It's an Android phone so that's what you have now okay alright well yes, let's talk about this next story if there wasn't any more stupid ways that ai could be used for stupid people.
Speaker 3:This has to be the best okay so explain to this oh this what do we got?
Speaker 2:what do we got going on?
Speaker 3:here. You shouldn't trust generative ai to come up with the right answers all the time. Okay, even the tools on disclaimers warn you to check for the factual accuracy. They're certainly not renowned for their ability to read tea leaves. However, one woman put so much faith in ChatGPT's divination skills that she divorced her husband of 20 years after it interpreted what uh, the remains of his coffee mug as signs of infidelity.
Speaker 2:Okay, hang on here just a second yeah, so, so so reading tea leaves, yeah, yeah, the coffee so coffee grounds. So I have some coffee grounds every once in a while when you do coffee well clearly you shouldn't allow chat gpt to use them for divination purposes, okay would anybody even do that?
Speaker 3:I wouldn't know that it could be done, but apparently it can okay, tell me more this, this sounds okay.
Speaker 3:Yeah, rather than using chat gps image skills to create studio ghibli style pictures, a greek woman decided to experiment with the trend of ai tassiography okay, which is a form of divination that interprets shapes left by tea leaves or coffee grounds or wine sediment after a cup is drink okay. She uploaded a photo of her husband's greek coffee grounds and asked AI to interpret them. The chat spot's interpretation was that the husband was fantasizing about having an affair with a younger woman whose name began with E, and that he was destined to begin a relationship with this person. Oh boy, I don't know how the heck did she come up with?
Speaker 2:this. I don't know. I don't know why.
Speaker 3:I don't know why. This is why I hate it.
Speaker 2:Okay, all right, there's gotta be, it's gotta be, more to this story, right? It's also?
Speaker 3:yes, okay, more to it, oh man the wife also uploaded a photo of the remains of her own coffee ground, and chat gpd's interpretation was even more damning for the husband. They claimed he was already having an affair with this other woman and she was trying to destroy the wife's family. Okay, yeah, okay so this, this enterprising young woman or older, I don't know how old she was. I don't even know if this is true or not.
Speaker 5:It is true, though.
Speaker 2:No, it is true.
Speaker 3:The woman then did what any other normal person would do she went and filed for divorce without telling her husband.
Speaker 2:All right would do.
Speaker 3:She went and filed for divorce without telling her husband. All right, okay, all right. So I guess she appeared on a greek morning show. The husband said that the wife was often into trendy things and believed getting chat gp to read the coffee grounds would be fun, he said. He laughed it off as nonsense. But she didn't. He told me to leave, informed our kids about the divorce and the next thing I knew I was getting a call from her lawyer. Oh man, the man refused to agree to a mutual separation, naturally, so he was served with divorce papers. Three days later His lawyer is pushing the seemingly obvious argument that claims made by an AI have no legal standing, especially when it comes to reading tea leaves. It says anybody reading tea leaves.
Speaker 2:Is the AI better than the gypsy lady down the street to read the tea leaves or or well, I don't know.
Speaker 3:Clear. Clearly this woman thought so okay, all right seems that the woman has a penchant for believing in mystical guidance. A few years ago she visited astrologer and took a whole year for it, or accepted none of it was real. What? Not only is the whole situation a sad indictment of how much faith some people put in ai and tassiography, but it's also been pointed out that the readings traditionally look at the foam patterns, the swirl and the saucer, not just the left.
Speaker 2:So so the way to even do this was the wrong way. This is this is?
Speaker 3:This is three things that I just. I fundamentally don't have a problem with the technology.
Speaker 7:Okay, that makes sense. We've established that.
Speaker 3:Fundamentally, the technology is usually not the problem. It's the people using it that's the problem.
Speaker 2:This lady seems to have more problems than technology. Yeah, I'm trying to be very nice. I'm sure she's a nice lady.
Speaker 3:I don't know. This is stupid.
Speaker 6:This is like stupid criminals you know how they get caught.
Speaker 3:Yeah, this is just one of the most moronic things I've ever heard.
Speaker 2:It's funny. They would think this would be like in Alabama or someplace like you know, but no.
Speaker 3:What are you trying to say? What are you trying to say about Southern people?
Speaker 2:You were just talking. No, I'm not saying we have great, we love our broadcast in the Southern nations. Please, that's not the case. What I'm saying is.
Speaker 3:I'm from the South.
Speaker 2:Okay, I'm just saying that normally when you see things that go on in these cop movies, like you, were talking are shows.
Speaker 3:I don't understand why anybody would use that.
Speaker 2:How the heck did the AI know anything about a TV?
Speaker 3:Well, clearly there's some sort of tassiography setting.
Speaker 2:No, there's not. No, there's not. I'm an advanced user.
Speaker 3:Are you?
Speaker 2:sure.
Speaker 6:Yes, I'm an open AI advanced user.
Speaker 2:No, no, no, there's no tools in open.
Speaker 3:AI. Well, clearly this is a trend. She said it was a trend. Ai tassiography.
Speaker 2:So now all of a sudden, everybody's going to start getting divorced because they're going to put stuff in the chat GPT, I don't know.
Speaker 3:I have no idea. I am not the right person to talk about the marriage and all of its things, but I think if this happened, I think this guy kind of dodged a bullet. Actually, he may want to get out, is that?
Speaker 2:what you're saying? Yeah, I don't.
Speaker 3:I think he should go ahead and grant her the divorce and go on with his happy life, because this is.
Speaker 2:I can't just think of that last year when he had to tell the lady whatever she got from the other person was incorrect.
Speaker 3:Or the astrology. Oh boy, okay, all right. The moon is in my hammies.
Speaker 2:Okay, story number three Crypto security exchange. Coinbase has significant security breach and it's fighting back, so let's talk about it. This is kind of cool. This is a highlight story for me. Not that Coinbase got breached, but Coinbase, a cryptocurrency exchange. This is the one on Tech Time Radio that we recommend people to use it's yours right, Yep, that's what I use.
Speaker 2:A lot of people use that it has over 100 million customers. It's disclosed that cyber criminals, working with a rogue support agent, stole customer data and demanded a $20 million ransomware not to publish the stolen information. So this the disclosed cyber criminals worked with people within the company or support agents within the company to steal the deals, so it was an inside job, to say the least.
Speaker 3:Well, isn't it always?
Speaker 2:99% of the time it is. It's very rare that you actually have somebody going on and pilfering into the company outside in a.
Speaker 3:CIA van. It's not the technology, it's us.
Speaker 2:Well, listen to this. The company said it will not pay the ransom, but instead established a $20 million reward fund that leads to help find the hackers and who coordinated this attack.
Speaker 3:Now, this is the way you do it Wanted dead or alive $20 million.
Speaker 2:That's right. You know what, if you can find out who this person is, if you can put in some eye drops into their coffee and they don't read the tea leaves, then they won't be in existence anymore.
Speaker 2:You got yourself, maybe $20 million from Coinbase. Now disclosure comes after the criminals behind the breach emailed Coinbase on May 11th demanding the $20 million ransom to prevent public disclosure of stolen information. Now the threat actors managed to steal a combination of the personal identity information and up to 1% of Coinbase customer base around 1 million users. They couldn't steal the customer's private keys or passwords and couldn't access Coinbase Prime accounts and hot and cold wallets belonging to the affected customers of the crypto exchange. In a filing with the US Securities Exchange Commission, the SEC, the company says the data stolen in this incident includes name, address, phone and email which you can get from any private medical breach that happens to you, since it happens all the time to these private medical companies.
Speaker 2:Masked security, social security, which is the last four digits only Not very helpful, but okay. Masked bank account numbers and some bank account identifiers, government ID and images, including driver's license and passport. Account data, balance snapshots and transaction history. And limited corporate data, including documents, training materials, communications available to support agents. So, like the help desk support agent information, cyber criminals bribed and recruited a group of rogue overseas support agents to steal the Coinbase customer data to facilitate social engineering attacks. There you go, the social engineering attacks, it's the humans that got attacked. The insiders abused their access to customer support systems to steal the account data for a small subset of customers. Coinbase said in a Thursday blog post so let's talk about that.
Speaker 3:I think everybody should go Old West and do this.
Speaker 2:Let me just tell you on the dark web right now there are people that are actually working to find out who the people were. Have the actual tracking of information. If you want to stop cybersecurity, this is the way to do it, because now you have the hackers on the dark web that are trying to figure out who did it, verify that with IP addresses, and they're going to do way better job of tracking down who did this for $20 million Because it's easy money. All I got to do is start going back and tracking the IP, who did this, who posted something about it. So all you got to do is be a snitch for 20 million versus all the technology that you need to do. For the rest, this Coinbase method is the method that I think may help stop some cyber criminal attacks.
Speaker 3:All right, let's hope.
Speaker 2:I hope so.
Speaker 3:I think that's an interesting response.
Speaker 2:I liked it All right. Well, that ends our. So you know what? They must have an actual IT person there that knows what they're doing. All these companies when they get breached, and that PR comes on out and they say and you just know that FireEye and these horrible companies out there go on in to give them IT security. They don't know what they're doing.
Speaker 2:This this, this, this there's your plug, there you go. This, at least, is a company that has somebody in it that says you know what, screw it, we're not going to pay the money, we're going to go after them all right. That ends our technology stories of the week. Moving on, phil hennessey will be up next breaking down ai and what an llm, a large language model, is as we talk about it on the show all the time. Now we get the debrief of what it is. That's what phil does best. He breaks things down, he tells you never to get in an autonomous vehicle in the snow, and many other different things. Now buckle up as we drive 88 miles per hour into our next segment. See you after this commercial break.
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Speaker 2:Welcome back to Tech Time with Nathan Mumm. Our weekly show covers the top technology subjects without any political agenda. We verify the facts and we do it with a sense of humor, in less than 60 minutes and, of course, with a little whiskey on the side. Today, mark gregoire, our whiskey connoisseur, is in studio. Mark, what have you?
Speaker 5:chosen for us today. Today we are drinking blanton's gold edition. Oh so, from buffalo trace's website, the world's first single barrel bourbon was created in 1984 by Elmer T Lee, named after former distillery president, colonel Albert B Blanton. The gold edition was the second version created after the original 93 proof. This 103 proof. Blanton's gold is very limited, but a favorite among discerning bourbon aficionados.
Speaker 3:Discerning, discerning, thank you. What just happened?
Speaker 2:What just happened. I'm here to always correct grammar.
Speaker 3:Did Nathan correct the grammar of Mark? I'm a theodorus.
Speaker 2:What the?
Speaker 3:Did you have chat? Gpt readers.
Speaker 5:No, I did not have that. Okay, keep on going, All right. Hints of no, I did not have that. Okay, keep on going, All right. Hence a spicy rye and tobacco on the nose, followed by caramel and honey, dark fruit and citrus notes. The palate has the same complex aroma, with rye, tobacco and honey. Oak and vanilla contribute to an extremely long and harmonious finish.
Speaker 2:Now this is. This is like a $300 bottle, isn't it?
Speaker 5:Well, let's talk about it. It's from Sazerac Company, which is the Buffalo Trace Distillery in Frankfort, kentucky. It's straight bourbon. It's non-age stated, it is 103 proof. The match bill is undisclosed. Msrp is $105. Oh, it's $105. Now it goes on the secondary market for $210. Okay, and if you find it at liquor stores that are marked up, it could be upwards of like up to 300. This is good stuff.
Speaker 2:I like this already.
Speaker 3:Yeah, and it helps his grammar improve.
Speaker 5:It did. I appreciate the correction. I was struggling. There Were you.
Speaker 3:I'm always here for you, you haven't had enough liquor.
Speaker 5:I know I haven't had my first sip. I was going to drink a little before I started I was like no, I want to make sure to read these big words right, and I'll start drinking now. Okay, now, if you do start drinking out there, drink responsibly. Heaven can wait, that's right. Thank you so much, mark.
Speaker 2:With our whiskey tasting completed, let's move on to our feature segment today. Today, we're driving into an exciting technology called large language models, or LLMs. They're quietly powering your smartphones, computers and smart speakers. But what exactly are they and how do they affect our lives?
Speaker 4:Let's start our next segment. Welcome to the AI segment Cat About Cat with our tech time guest, my favorite humanoid, mr Phil Hennessey.
Speaker 2:All right, phil, welcome to the show. Tell everybody a little bit about yourselves, because you've been off for a little bit, a little sabbatical. We're glad to have you back on the show. Tell everybody that may be listening that hasn't heard any of your episodes a little bit about yourself.
Speaker 8:Sure, I'm an engineer and right now, senior vice president for a company insure tech company that we use AI to detect risk for factories and warehouses and help them get better and prevent injuries. So I'm familiar with AI and I've done robotics in the past and deployed large safe city projects for $1 billion projects. So a lot of change management, a lot of technology understanding and systems integration work I've done Well thank you All right Now.
Speaker 2:We love having you on our show, right? Because with you on our show we always get to talk and you kind of break down the stuff for the everyday person type of deal. So, phil, let's start very simple, all right. What exactly is a large language model? And kind of explain this for everybody that would be listening.
Speaker 8:Sure. So if people are familiar with ChatGPT, chatgpt is a large language model. Gpt is a large language model and basically it's a very powerful AI program that is used to understand, generate, respond using human language and actually it's also getting individuals. That's how we did this T reading thing and I want to talk about that a little bit. But you know it's these models read enormous amounts of text from basically scrape the entire web, any book that's been digitized blogs, website articles, you know, facebook, whatever right. They're ingested all this information and then they're able to use that information in different ways, and one of the ways they can do that is that they can then take a shot at coffee ground coffee grounds, coffee grounds, coffee grounds, and make a determination on that.
Speaker 3:The term is cassiography.
Speaker 8:Yeah, you could say that word. I haven't drank yet. But that's all you. Cassiography, all right.
Speaker 2:All right. So how do large language models actually work? How do the models understand and produce languages? Because they have it not just in English, of course, they have it in French and German, all these different areas. How do we go about actually having these things work?
Speaker 8:All right. So there's, we use neural networks, or that is the basis for the computation behind it, which is trying to mimic the human brain as much as possible, human brain as much as possible. And then in the programs itself, they have these types of programs called transformers or self-attention, allowing the models to then understand each word, so it understands each word, and each self-attention or attention block understands one word and they link and work together to build out that sentence and then that essay or that paragraph and that essay or that resume, so each one understands how one word or two words work together. And then that's why there's billions of these things that are happening a lot. That's why you need these huge, huge data centers now and you're getting, you know, microsoft, you know, trying to turn on a nuclear power plant to just power an AI data center right now, because of all those billions of parameters that they're doing. So imagine you know these huge data centers and they're basically just producing all this mathematical computation, billions and billions of computations.
Speaker 2:So it's kind of have you ever seen, mike? Have you seen that movie, eagle Eye? Yeah, okay, you see all those big server databases. So I guess, phil, the nicest way to say is that, like some of the movies illustrate, there are these huge data centers, tons of information that they're storing.
Speaker 3:So what we have is acres and acres and acres of all these data producing gizmos, right yeah, that are trying to mimic the brain in a single person walking around, correct?
Speaker 8:Yeah, and think about that, Mike. Think about that what we have in our head. We need acres and acres of computers to not even get to where we are. Yet Right.
Speaker 2:Even the lady that decided to divorce her husband probably has more yeah, she has.
Speaker 3:She has more brain computational power than the, than the chat she doesn't use it, right.
Speaker 8:But hey, you know but there was probably a blog on deviation somewhere out there and chat gpt said okay, here's my examples of coffee grounds.
Speaker 3:and this is what it says yeah, that's right you know if I were looking at this more as a professional, like I should. There's probably other stuff going on in that marriage that may warrant that. I mean, just that idea is just all right. Shoot me now.
Speaker 2:So can you give us a simple everyday example of what a large language model is? So if I'm driving around listening to the show, I got the idea that there's huge data centers, all this stuff is being there. What would be an example that people would kind of resonate well with?
Speaker 8:Well, so if you were reading, so, amazon and they have all the different reviews for a product and now what they're doing is they're giving a summary of all those reviews up top in the review section. That's a large language model. It's doing that summary so you don't have to read through and scroll through all the reviews anymore. It's all there for you. Or, if we've talked about before, I want to, I want to, I want to go ahead and customize my resume to one specific job posting. I can get my resume, I can get the job posting. I can upload together, give it a prompt, say, hey, I want to go ahead and make my resume more like this job description so I can get an interview. So just simple things like that that we can use.
Speaker 8:So it's being and you know, apple's including it now and for journaling and everything else. You create your journal. You know it looks at everything you've done during the day and it'll start helping you prompt for journal creation, things like that. So it's being intrusive, uh, all over the place now. I mean in ways that you wouldn't even think of. That. You're starting to see it and we're. So everybody is probably seeing an llm during the day if they're online and they don't even know it right now.
Speaker 3:I like the fact that you said intrusive.
Speaker 8:It's intruding.
Speaker 3:It's intruding on everybody. It's intruding on my life in ways I don't necessarily want it to. Okay, that's you know. It's intruding on that poor guy's life.
Speaker 2:Yeah, just think. What's interesting now is you can't really opt out of a lot of these user agreements, right? I buy myself a Siri device, I buy myself an Alexa device and guess what? All of a sudden, I need to make sure that I allow the terms of agreement so I can use that item I've bought, and every single time they decide to write something new in there guess what? I have to accept it and they get more and more access to more and more of my data, yeah, all your data.
Speaker 8:And that's where the training data comes in is they're using this data, all this information that we generate, to to? They're allowed to use our data anonymized, to help retrain and modify the models to make them more human-like. So that's what's happening.
Speaker 2:Let's talk about the models. How do they remember all of this information? They don't.
Speaker 3:Well, they have to. They don't have a memory.
Speaker 2:Well, how do they store this information? I guess is my next question. If they're having these models that are there?
Speaker 8:Instead of memorizing like a human does, it creates embeddings or mathematical reputations or representations or statistical analysis. So remember I talked about these transformers, each kind of. They associate different words together, so it's basically a big data map. I'll call it, for lack of better words, or a big word map. It's linking everything together and then it says, ok, this word should go with this word in this context. So I have a certain prompt I want and it says OK for this type of prompt, say it's a medical question, I know these words kind of work together, work together. So it's all statistic and simplification of it is a statistical analysis of the word to see what best goes, what word goes with which, what with what word.
Speaker 2:So it doesn't have free thought, right? I mean, that's the one thing that everybody thinks about. All these AIs are going to take over the world like Terminator 2.
Speaker 3:Well, that was like that Google engineer who thought it was.
Speaker 2:More like war games. You know where the computer just decides to attack because they're scared and stuff it may take. X equals Y, and then all of a sudden Y is bad, and so you need to get rid of that. But it is not using logical thinking processes or connected synapses to create a predictive information that's available to come on out of your brain at the time right.
Speaker 8:Well, I would say it's doing a lot of that, but it's not free thinking, it's not conscious. So I think the way I would rather explain it because it is taking predictive of hey, this word should go with this word should go with this word to go ahead and make your essay. And they're doing the same thing now with visual as well, as they're taking billions of images like YouTube, like Google has YouTube, and they're ingesting all of YouTube's videos and then into their models and seeing how they can use that for visual interpretation, now that you can do that as well. So these large-angled modules are actually becoming what we call multimodal systems, where they can do visual interpretation as well.
Speaker 2:Alright. So we're going to have to break this into two parts because I want to do a whole thing just on businesses. So we'll put a little bit of a cliff note or a little paper clip Not clippy though, because it's no longer available a little, put a pin in it.
Speaker 3:Yeah, put a pin in it there we go.
Speaker 2:So tell me though, where do you think large language models technology is heading um?
Speaker 3:as we kind of wrap up, this can kind of consumer clearly version of this clearly has an exciting frontier in the new age market um.
Speaker 2:Mike loves this story.
Speaker 6:He's still on his story.
Speaker 2:He's like still like what's going on with the coffee grinds? It's not gonna work.
Speaker 8:So, um, I think you're gonna see smaller agents. Um, a made a large, you're gonna see smaller, what I call agents, um helping you with emails and and or setting your reservation for dinner or for making your doctor's appointment. I think you're going to see that in the next couple of years, where it's you have, you have personal agents helping you with different things that are going to be for different types of support like that that you can use, for that would be a basically an executive assistant that would help you, personal assistant that would help you with those types of things. Think that's where it's going to go there you go.
Speaker 2:It could be your executive, wally. Well, there you go. You know we talked about headed towards wally man.
Speaker 2:We talked about our show, about the visa, ai agents, right? I mean it's kind of the same thing. So so should we be scared? I mean last question before we break should we be scared of ai? Because I I go to some events here as a technologist and I see some people that are scared of stuff and then other people that are not scared of this. What do you think? Should we be scared, not scared? Where are we at?
Speaker 8:Well, I'm going to answer it a little bit different way. I don't think you can trust everything it says right now. It hallucinates. So if people so back to Mike's story if you're going to believe everything it says, you're going to take actions that may not be correct for your life, Right? So you need to have common sense in reading it, and it's so good at stating a fact that this partially sometimes true and false. You really have to be an expert in that field sometimes to understand it or otherwise.
Speaker 8:So there's still going to be quality control and what I would call human in the loop, but you still need to make sure you have your reasoning, your thinking and you're critical in using this information, because it can hallucinate, it will lie to you. If you don't do the right prompt, it will give you what you want, the thinks you want sometimes. So that's what I'm scared of. It's like, are we going to get the right information? Like my work, everybody uses it. It's great. They always ask you questions for different things. But I'm like are we getting the right answers from that? Are they real? Are we you know? Are we checking that answer? And that's what I'm more worried about is, are we relying on it too much, and I saw an article the other day that people that use these models, like ChatGPT, all the time are losing their critical thinking skills.
Speaker 2:Yeah, that makes sense.
Speaker 3:We've talked about that.
Speaker 2:All right, Phil, you know what we are going to need to create a tagline here H-I-T-L. We need to market this. We need to trademark this Human in the loop. You said that in here. I think that is going to be the new definitive terminology that we have to have in AI. It'll be called H-I-T-L Human in the loop. I think you started it right here so that you can take credit of the father of the H-I-Tl making sure humans are in the loop humans are in it.
Speaker 8:I, I like it. I don't think I created it, though I probably stole it from somebody else. But uh, but uh, you know but I like it.
Speaker 2:We're gonna just claim it, right here, I'm just gonna run around saying hittle all the time and you know, if we say it enough times and we get published on YouTube as much as our show is, then maybe we can be a part of the algorithm as the creator. There we go.
Speaker 3:I love it. Yeah, then the AI is going to predict the future from your coffee.
Speaker 2:All right, All right, phil, so we want to thank you for being a part of the show. Next time on the show we're going to take a look at how business sees use, llm, large language models and some of the challenges. Thank you so much for being a part of our show. We could not be happier to have you back breaking down terminology and technology for us.
Speaker 8:All right, thanks a lot. Phil Take care.
Speaker 2:All right, okay, phil does a great job breaking down technology. And with that, now let's move on to Mike's mesmerizing moment. Welcome to Mike's mesmerizing moment. Welcome to Mike's mesmerizing moment. What does Mike have to say today? All right, mike, here's my question. We're going back to, kind of the first story.
Speaker 3:AI is being. What was the first story?
Speaker 2:The Google with all the new. Oh, it's good stuff that we have All the new, yay, yeah, okay. Well, ai is. I know you're still liking your tea leaves and coffee ground stuff, but AI is being used to help people. What areas of technology can AI help next with, in your view?
Speaker 3:I don't know why you ask questions like that. Why do you ask questions like that? Why do you want to?
Speaker 3:I like it when we have technology that can help in, like the medical field, in in the field of astronomy, you know, where it can help predict things like where a black hole may be. I don't really like it when ai comes in and starts doing certain things like, like phil said, you know, the more we use this stuff, the less intelligent we get. Yeah, and that's the problem, that's one of the hugest problems that I have with technology and especially ai, is that we we have we have this issue with critical thinking.
Speaker 3:Obviously, critical thinking is a huge problem for some people, otherwise they wouldn't get divorced based on the predictions of an AI right, yeah, so we have that issue already, and then we're going to start leaning in to something that's going to do essentially what the calculator did for people. Yeah, to do essentially what the calculator did for people. Yeah, you know, you no longer have to memorize mathematical equations because something already can do it for you, and so we lose that ability to think properly through something. So, in a future where everybody's using chat GPT, what do you think that's going to look like?
Speaker 2:It's just going to be everybody looking at their phone, hey.
Speaker 3:Google. How do I cook this so that I don't die? Oh well, you need to add some lead-based paints, and you know.
Speaker 2:Okay, and you think we'll just start believing it so much that we're just going to be like whatever the AI says we're going to do. We adapt.
Speaker 3:We are, humans adapt, and one of the problems I have with AI is that oh, oh, oh, look at that, your a, your ai just went off on your phone, my, my. Ai just just tried to like tell you something on my on intrude on my thing here. That was gemini, that was that stupid gemini thing.
Speaker 2:Well, that's a. You got it loaded on your machine. There you go. I will say this do you know that nasa resurrected voyager ones thrusters after 20 years? Ai helped them figure out a solution to re-kick that in.
Speaker 3:That's something that I think is cool. Using it to define tea leaves I don't think that's cool. No.
Speaker 2:I don't either, so I do think there's some great tools. Now, all of a sudden, you have these thrusters, working on a deal that you couldn't for 20 years, and the AI actually figured out. The simple thing was an over switched item that they just rerouted, the switch to a different location, turned it back on, and now all of a sudden, we have this, uh, interstellar spacecraft and now it's thrusters and continue so there's some good stuff about it.
Speaker 3:Yeah, I mean, the big problem is that is that we're we're going to a lot. It doesn't. It's something that mimics the human brain. It doesn't do it well, but we are thinking it does All right.
Speaker 2:All right. Well, thanks for that mesmerizing moment. Up next we have this Week in Technology, so now's a great time to enjoy a little whiskey on the side, as I will be finishing my glass during the break. You're listening to Tech Time Radio with Nathan Mumm.
Speaker 3:See you in a few minutes. Hey, mike. Yeah, what's up? Hey, so you know what. We need people to start liking our uh social media page. If you like our show, if you really like us, you could use your support on patreoncom. Is it patreon? I think it's patreon. Okay, patreon, if you really like us, you can, and you say I'm the english guy patreoncom I butcher the english language.
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Speaker 1:That's that simple and now let's look back at this week in technology all right, we're going back to may 24th 1935.
Speaker 2:The first night baseball game was played. Now the first night major league baseball game is played in cincinnati, the hometown of the Reds. The feeding the visiting Philadelphia Phillies two to one. Now night baseball caught on all around the league very quickly, except for the team in Chicago, as the Chicago Cubs did not play a home game until 1988. Yeah, this is very interesting. The used to always play baseball games during the day. They found that when you play it in the evenings people could go to work and then after work they can enter, check and go in and be a part of a baseball game. Duh, I know.
Speaker 3:More ticket sales.
Speaker 2:That's right. Well, that was this week in technology. If you ever wanted to watch some tech time history, with over 250 plus weekly broadcasts spanning our four plus years we have video, podcast, blog information you can visit us all at techtimeradiocom and watch our older shows and get all of our whiskey reviews. We are now becoming the whiskey library of the large language models of all the Internet for our thumbs up and thumb down reviews. We're going to take a commercial break. When we return, we have Mark's mumble whiskey review. See you after this.
Speaker 7:Attention all geeks and pop culture enthusiasts, get ready for the ultimate celebration of everything geek at GeekFest West Game Expo. July 18th through the 20th in downtown Everett Washington. Join us for three thrilling days packed with cosmic cosplay, gaming, tournaments, retro movies and a street fair brimming with unique vendors. From the innovative Geektopia Vendor Hall to the Galactic Time Warp showcasing beloved film classics, including Ghostbusters, the Wrath of Khan and our special 40th anniversary showing of Goonies, there's something for everyone. Plus, participate in interactive events from keynote speakers each day to special guest artists. Tickets are on sale now. Secure your spot for this epic celebration at geekfestcom. Get your badges, from one day passes to VIP options, and don't be left out. Visit geekfestcom. Geek Fest West, the biggest gathering of geek fandom in Snohomish County.
Speaker 1:The biggest gathering of geek fandom in Snohomish County, the segment we've been waiting all week for Mark's.
Speaker 5:Whiskey Mumble, may 20th. What are we doing today? What? Are we celebrating with our whiskey May 20th.
Speaker 3:Oh, we're celebrating with our whiskey may 20th, uh, or we're celebrating with our whiskey. It's the what? The 520 instead of 420, 420, wow marijuana.
Speaker 2:No 520 um. We are celebrating the ability to share whiskey with friends wow. No, it's not that, corny, okay yeah, wow, wow, you can say that. Okay, what is?
Speaker 3:it.
Speaker 5:We're celebrating national coffee, coffee divining day today, may 20th, is be a millionaire day.
Speaker 3:Oh, okay, okay well, I can get behind that who's giving out, who's giving out the money, so I can be a millionaire well, let me tell you, mike, when you think of being a millionaire, what's the first thing that comes to your mind?
Speaker 2:uh, not working.
Speaker 5:I think of the tv show who wants to be a millionaire whatever your personal dreams may be, celebrate today by doing at least one thing that makes you feel like a million. Oh so, treat yourself that. Oh okay, treat yourself.
Speaker 3:Is that what you're saying? Don't, don't, let, don't look, you made, you made odies over here odie knows where that's from.
Speaker 5:Oh, I do not know where that's from parks and reds. Oh, I do, okay, okay okay, one of the best scenes ever on tv.
Speaker 3:I feel like that. Feel like that's a little bit of a letdown, Mark, you know the whole, not the saying, but the whole be a millionaire day.
Speaker 5:Well, mike, we are celebrating be a millionaire day with Blanton's gold. Oh, I get it. The bourbon choice of those living the lifestyles of the rich and famous, minus the yacht Okay, with bourbon wishes and barrel-proof dreams.
Speaker 2:If you ever, oh no, we're going to go in there. What was that?
Speaker 5:Teodi didn't laugh because she doesn't know. She doesn't know what that means Famous.
Speaker 2:What's his face? That did the?
Speaker 5:rich and famous. Yeah, lifestyles Hi.
Speaker 3:What was his name?
Speaker 4:Hang on a second? I don't remember. Oh, I remember.
Speaker 2:I see it as a lifestyle. Okay, keep on going Anyway, Mark.
Speaker 3:Lifestyles of the rich and famous, that's pretty good, wasn't it.
Speaker 5:Yeah, I can almost hear his name, all right. Blanton's Gold Edition was originally released exclusively for the Japanese market in 1993, nearly a decade after the debut of the original blanton single barrel in 1984. It was then later also released in europe. In 2020, after 27 years of being available only internationally, blanton's gold edition was introduced to the us market, allowing the american bourbon enthusiasts to experience this once exclusive expression assuming you can even find it. What can I say about Blanton's Gold? Well, quite honestly, a lot. It is a delicious pour that stands well above its more common sibling. I usually keep regular Blantons on hand as a crowd pleaser tater bottle. It is fun to share, but not something I reach for myself. Lanson's gold, on the other hand, holds a special spot on my shelf. It's reserved for moments, my fellow whiskey lovers, and for those times I want to treat myself, and I'm sharing it with you too and with us.
Speaker 5:It offers a richer mouthfeel a subtle Kentucky hug.
Speaker 3:I feel like a millionaire right now, yeah.
Speaker 5:Mike, and a burst of those classic bourbon notes we all chase. Simply put, this one is a standout and well worth the hunt to find a bottle or have a pour at a bar.
Speaker 2:Now is this like champagne wishes and caviar dreams.
Speaker 3:Oh, there it is.
Speaker 4:As Robin Leach would say. Robin Leach on the Lifestyles of the.
Speaker 2:Rich and Famous there you go.
Speaker 3:You remember that show already.
Speaker 2:Do you have?
Speaker 3:any idea what that show is.
Speaker 4:I have no idea what you guys are talking about. But I have heard that phrase or that. Whatever you want to say.
Speaker 3:That's when he closed out each of the shows. That was his close. You have to be old to know that, like our friend Greg Minab, yeah, this is a program to show you how bad off life really is for all of us poor slobs.
Speaker 2:Okay. So what does Whiskey Chris think of this?
Speaker 5:Well, he's got a bottle of this exact one too.
Speaker 2:He loves it. You notice, my glass is gone.
Speaker 5:I know so does Mike's. I'm the only one with a little whiskey left.
Speaker 4:So it's almost $300?.
Speaker 5:Well, that's like if you go to a certain liquor store that really do museum prices, it's 105 as MSRP.
Speaker 7:Okay.
Speaker 5:And trading on secondary market.
Speaker 3:You know what else has MSRPs Cars, that's right.
Speaker 4:Without giving away your mumbles. Would you buy it, Nathan? Absolutely.
Speaker 2:No, it's too much. I would have a bottle. I have Blanton's up there on my shelf.
Speaker 4:You inherited that you didn't buy it.
Speaker 8:No, I bought that.
Speaker 4:Nathan's the cheapo.
Speaker 5:I'm not always a cheapo, did you?
Speaker 2:buy the Blanton's? Yes, I did, I'm 100% sure Did you buy the Blanton? Yes, I did, you sure, I'm 100% sure Did you buy it at MSRP.
Speaker 3:I bought it once more. I still buy all my stuff, all right.
Speaker 2:Whiskey and technology are a great pairing, just like the only two songs sung at every Major League Baseball game. Do you know what they are? It's Take Me Out to the Ball Game and the national anthem.
Speaker 3:You know you having to explain that just takes the air out.
Speaker 2:No, that's a great combination of pairings. All right, let's prepare for it.
Speaker 5:And you know what? Baseball is right, Odie. Wow, the young kids don't do baseball.
Speaker 3:Well, I think that's a fair question. She knows who that is If you don't know, are you serious?
Speaker 6:fair question. She knows who that is. If you don't know, are you serious? The station rebroadcasts the minor league team. I have to sit through baseball every week.
Speaker 3:There it is. I have to sit through it Well, and I played softball Okay so I do know what position did you play.
Speaker 4:Catcher and outfield. Don't feel bad.
Speaker 3:I mean lifestyles of the rich and famous. You don't know about.
Speaker 2:Now let's move on to our technology fail of the week. This is our leader. This is now the fourth time they have had a technology fail on our show.
Speaker 5:They are the leader.
Speaker 2:You know when they kind of do like the five person club for Saturday Night Live when you host five shows. So this is now becoming our fourth. This is our leader. Our fourth, are you?
Speaker 5:sure Tesla's not ahead of them? No, they're not, they're tied.
Speaker 2:They're tied. Okay, all right, here we go. Congratulations, you're a failure.
Speaker 6:Oh, I failed. Did I, yes, did I.
Speaker 2:Yes, all right, our fourth time we've had this company on. It is Waymo, our technology failure. Now you know what. What happens to? Let's just talk about what happens when you get in a wreck in a Waymo car. Do you know what happens? You die horribly no it's just who gets the ticket. Does the driver, does the company? That's still up in the air. Depending on which state you're in, what do?
Speaker 5:you mean, there is no driver?
Speaker 2:How is that up in the air as a passenger? As a passenger there's literally nothing that you can do to influence the Well.
Speaker 5:It depends on if you're in California or Arizona or Texas. You're sitting in the back seat. Yeah, all right, let's continue. More than 1,200.
Speaker 3:I guess if you're stupid enough to ride in one, you should probably get billed for it, all right.
Speaker 2:More than 1,200 Waymo cars had to get their software updated because of reported incidents in. Waymo cars had to get their software updated because it reported incidents in Waymo's vehicles hitting gates, chains and other road obstacles. Like just going for and hitting it.
Speaker 3:This is the same one that couldn't navigate snow right? Yeah, that's right.
Speaker 2:That's right, phil talked about that on our stuff. So the volunteer recall was submitted last week to the National Highway Traffic Safety Administration regarding the affected fifth generation automated driving systems. However, officials said the issue was resolved through a software update that was rolled out starting november 2024 to the 1000 plus cars impacted. The recall doesn't impact any way more cars currently on the road because those are, I guess, sixth generation and above.
Speaker 2:Before the update, the driverless cars caused minor crashes with chains, gates and other obstacles on the road. No injuries reported and the nhtsa started an investigation into waymo in 2024 after receiving reports of 16 incidents regarding minor crashes. Now waymo provides more than 250 000 paid trips every week in some of the most challenging driving environments in the US. Now they say that they hold themselves to higher standards and our records indicate less injuries over the tens of millions of fully autonomous miles driven on our technology-based roads to make them safer. Now a Waymo spokesman says that they are the world's most trusted driver. A voluntary recall submission comes after more than 600 self-driving cars needed a software update in June of 2024 because one hit a telephone pole.
Speaker 3:I want to ask the Waymo spokesperson if he uses Waymo.
Speaker 2:Do you guys use the product? I'm sure he does. He's probably like 16 years old.
Speaker 5:I might disagree with this a little, Mike. I've been traveling a lot, and human drivers are horrible. Are they Absolutely horrible? I'd rather take a car that occasionally hits a gate in a chain than most humans?
Speaker 3:Really, what about when they can't navigate construction and drive into construction zones.
Speaker 4:They can't even park in their own parking lot. Yeah, they circle the parking lot.
Speaker 2:Sometimes they park in the middle of the intersection and let let people out. Now you can exit. Well, isn't that like a lot of?
Speaker 5:humans yeah, a lot of humans just park anywhere, as all the uber drivers park in the middle of the street. You go to a parking space. I can, I can, I can hang on I can get behind.
Speaker 3:I can get behind that in partly because I I drive every day and I see stupid people and you know I I'm not the best driver in the world either, but I'm a known entity all right.
Speaker 2:Well, guess what? They've had now 202 crashes since in arizona since 2021 to 2024, and only 31 of them resulted in any injuries.
Speaker 3:Only 31 of them resulted in injuries all.
Speaker 2:And officers determined the self-driving cars are not at fault. 87% of the time.
Speaker 5:Bingo.
Speaker 2:So if you're in the 13%, best of luck. You're just sitting there and you're locked in a cage and hopefully no one hits you in the back, which happened to some individuals.
Speaker 5:So humans 87% fault, waymo 13% fault. All right.
Speaker 2:You know what I like that number. Let's move right now, immediately. Can we go right into the Nathan nugget? All right, let's do that.
Speaker 3:Apparently, we can't hear it.
Speaker 1:This is your nugget of the week.
Speaker 2:Hopefully your mic wasn't on there, right? Okay, a little dead air and we don't want to hear those profanities. That was a bleep out All right, those profanities. That was a bleep out all right. Now apple users have seven weeks to claim their 100 back. Make sure you listen to episode 252 to learn more. But today we're continuing with some apple news. Now the iphone 17 release date. When is the next iphone coming out? Over the last several years, apple has consistently announced its new phones in the first half of september. This will likely be the case again with the full iphone lineup planned. Now Apple could move to the US phone production from China to India, and they've already escaped many of the tariff hikes thanks to a reciprocal tariff exemption list that includes many phones, laptops and other electronics that Apple directly produces.
Speaker 5:That's interesting. Do they donate to the inauguration $1 million fund?
Speaker 2:they all did. The iPhone 17 Pro's camera has been subject to multiple rumor changes. Most notably, the Apple may have a horizontal camera bar that spreads across the width of the phone, so when you hold it on up, you can take full sized landscape pictures. Now the front facing self camera could also get an upgrade. A leaked image on X suggesting the iPhone could feature a pill-shaped camera bar that looks a lot like the camera bar on the Google Pixel 9 phone.
Speaker 5:Is Odie going to run out and get one of these?
Speaker 2:No, Look at that. She's like, she's like no.
Speaker 4:I still have the 13. I have it upgraded. Okay, until this dies you better hurry 13.
Speaker 5:I have it upgraded.
Speaker 3:Until this dies, I'm not going to upgrade the technology hostage is going to kick in and you're going to have to.
Speaker 2:Now you know what With the new iPhone 17, the models will have to set up to more memory. They're going to have to have 12 gigabytes of RAM minimum, because they can't do all their AI stuff.
Speaker 5:that's available 12 gigabytes.
Speaker 2:They're going to have to do that pretty big jump. They have larger hard drive space that will be needed to actually make sure that they do the algorithms in the back. And with that guess what? You're probably going to lose battery life. It looks like the new phone will probably only have the 8 to 10 hour battery life return, as Apple has been plagued with before. There you go, yeah, use your.
Speaker 3:Apple device. It goes dead in an hour.
Speaker 2:Yeah, my, my.
Speaker 3:I don't even know. I think it's an iPhone 15. Yeah, for work. Yeah, it goes dead after a day of non using it.
Speaker 2:Yeah, it's welcome to Apple. All right, now let's move on to our pick of the day Whiskey tasting All right Now let's move on to our pick of the day whiskey tasting.
Speaker 1:And now our pick of the day for our whiskey tastings. Let's see what bubbles to the top.
Speaker 5:Today we're drinking Blandon's Gold Edition from Buffalo Trace Straight bourbon 103 proof $105. All right, absolute, but more than likely it's going to be $200 to $300.
Speaker 2:Yeah, thumbs, big time up. Love this, love this, love this probably the best whiskey I've had since since yesterday three weeks ago all right, mike, what do you get?
Speaker 3:okay, I don't even think I have to say it, because I like it. It's good, it's a thumbs up for me.
Speaker 2:And this is on your shelf yeah, on your top shelf, oh yeah, all right, there you go. You love it a lot. It's getting. It's getting low, though I'm good. It's a thumbs up for me. And this is on your shelf yeah, on your top shelf, oh yeah, alright, there you go. You love it a lot.
Speaker 5:It's getting low, though I'm going to have to baby.
Speaker 4:this Are you going to treat yourself.
Speaker 5:Oh, you know it, Odie.
Speaker 2:Are you going to treat yourself for today? Yeah, yeah, treat yourself well today Be a millionaire.
Speaker 3:Yeah, you know what I mean. You did buy a motorcycle, I did buy my motorcycle.
Speaker 5:Wow, you are a millionaire.
Speaker 3:Yeah, I got a million dollar life insurance All right.
Speaker 2:Well, you know what we thank so much for you guys listening to our show. It's the fans like you that put on this show, and it's a crazy producer like Odie that makes sure it all works All right. We want to thank everybody that listens. Always remember the science of tomorrow starts with the technology of today. We'll see you guys next week Later. Bye-bye.
Speaker 1:Thanks for joining us on Tech Time Radio. We hope that you had a chance to have that hmmm moment today. In technology. The fun doesn't stop there. We recommend that you go to techtimeradiocom and join our fan list for the most important aspect of staying connected and winning some really great monthly prizes. We also have a few other ways to stay connected, including subscribing to our podcast on any podcast service from Apple to Google and everything in between. We're also on YouTube, so check us out on youtubecom. Slash TechTimeRadio all one word. We hope you enjoyed the show as much as we did making it for you From all of us at TechTimeRadio. Remember mum's the word have a safe and fantastic week.
