Speaker 1: Let's say good morning now to the host of Rich
Speaker 1: on Tech on KFI KTLA's tech reporter Rich DeMuro.
Speaker 2: Morning, Rich, good morning to you. Amy.
Speaker 1: Okay, I want to talk jobs first, because you know,
Speaker 1: some people need a job and they don't want like
Speaker 1: a full time salaried position. They want a good hourly
Speaker 1: job and you can help them there.
Speaker 3: And there's a new way to find this website called
Speaker 3: bandana dot Com. Interviewed the founder on my radio show,
Speaker 3: and the idea behind this is there are so many
Speaker 3: sort of like opportunities out there that lead nowhere, and
Speaker 3: so he said, look, we want to build a job
Speaker 3: site for people that are just working class, entry level
Speaker 3: and the jobs are actually real. So what they've done
Speaker 3: is they've gone out to all these companies interface directly
Speaker 3: with their websites on the back end, so they know
Speaker 3: that the job listings are legit. And the best part
Speaker 3: is they add a whole bunch of information to the
Speaker 3: job listings, like the exact locations you can find stuff
Speaker 3: in your neighborhood if you don't want to long commute,
Speaker 3: pay range, and they will tell you your estimated taxes
Speaker 3: and take home pay. Because I don't know about you Amy,
Speaker 3: but my first job, get those taxes. You're like very surprised.
Speaker 3: Wait a second, what how much?
Speaker 1: I thought I was making this much and I'm making
Speaker 1: a third less than.
Speaker 2: That exactly, and that never ends, by the way.
Speaker 1: Yeah, yeah, all right, So it's and it's some decent
Speaker 1: paying jobs too.
Speaker 4: It's just for people who want hourly work.
Speaker 3: Yeah, And it's just I think it's just, you know,
Speaker 3: a lot of these job hunting sites are either focused on,
Speaker 3: you know, the typical jobs that you would see, like
Speaker 3: the salary jobs, or if you're looking for a job
Speaker 3: at say, you know, I'm looking at like jobs at
Speaker 3: Trader Joe's, jobs at the you know, at the various
Speaker 3: transit agencies. I mean, there's a whole bunch of them
Speaker 3: on here. But the reality is a lot of those
Speaker 3: jobs and those big websites lead nowhere and so here.
Speaker 3: It actually leads to jobs that you could get.
Speaker 4: Very cool Bandana dot com.
Speaker 1: Okay, well we've got chat GPT, and there's co Pilot,
Speaker 1: and now Meta's got its own AI app.
Speaker 3: I find this a little ironic because you know, we
Speaker 3: understand that AI is a huge competition right now, right
Speaker 3: every company Chat gybt is the clear leader, Google, Gemini,
Speaker 3: you've got Microsoft with Copilot, You've got Claude, you've got deep.
Speaker 2: Seak out of China.
Speaker 3: Meta has their own Meta AI, which they've built into
Speaker 3: all of their apps. You've probably seen it, you know,
Speaker 3: when you're on Instagram or whatever. But now they made
Speaker 3: a standalone AI app so that you can access this
Speaker 3: even faster. And so it's just called Meta AI and
Speaker 3: you can download it from the App Store or from
Speaker 3: Google Play. And it's the same thing as CHATCHBT. You
Speaker 3: can talk and generate images or get web results. But
Speaker 3: I find this interesting because so many people when Meta
Speaker 3: built this into their apps were like, rich, how do
Speaker 3: I turn this off? So now it's like, maybe you
Speaker 3: know what, Amy, I'm gonna be positive here. Maybe they'll
Speaker 3: give us the option to turn it off in the apps.
Speaker 3: Now that we have a standalone app, so if you
Speaker 3: want this, you can go get it.
Speaker 2: But you can turn it off in like Instagram and Facebook.
Speaker 2: I'm hoping for that, Okay, but.
Speaker 4: Well I like your optimism. Yeah.
Speaker 1: Also, well, then tell me about this AI podcast tool
Speaker 1: that Google has.
Speaker 2: Okay, have you heard of this? This notebook? LM no?
Speaker 1: And it okay, yeah, just tell because it sounds like
Speaker 1: you're just taking all.
Speaker 4: The work out of work.
Speaker 3: No no, no, this is this is not this is not
Speaker 3: replacing you. So this is this is basically Notebook LM
Speaker 3: is Google's sort of smart notebook tool.
Speaker 2: Started out as an experiment.
Speaker 3: It's been around for a while, but you basically feed
Speaker 3: in information. So let's say you're going on let's say
Speaker 3: you're a student, right and you're taking a class. All
Speaker 3: your class notes you just dump into this notebook, right,
Speaker 3: and you can ask questions about those notes, just like
Speaker 3: you would AI. But it's programmed only on the information
Speaker 3: that you feed it. But it takes to a level further.
Speaker 3: You can generate a podcast based on your information that
Speaker 3: you've uploaded, so these two podcasts hosts will talk about
Speaker 3: your information. It's really cool. It's sort of gone viral.
Speaker 3: It's very popular among students and anyone who's studying stuff,
Speaker 3: and you can use it for pretty much anything. So
Speaker 3: for me personally, when I get all my reviewers guides
Speaker 3: and things.
Speaker 2: Like that for the products I test, I'll.
Speaker 3: Dump it into this notebook and then these two people
Speaker 3: will talk about it, and it's like you're listening to
Speaker 3: someone talk about the product all the features of the product.
Speaker 1: Okay, so then here's my question, because you and I
Speaker 1: have talked about this a couple of times, how sometimes
Speaker 1: AI is wrong. So have you found that or is
Speaker 1: it because it's only using your notes, it's what your
Speaker 1: truth is, see what.
Speaker 2: I'm saying exactly. So that is the idea.
Speaker 3: The idea is that it's not going outside of the
Speaker 3: information that you feed. So if you feed it your journal,
Speaker 3: it would just talk about your journal.
Speaker 2: Is it really? How? I doubt it? But that's the thing.
Speaker 3: So that's and of course all AI can hallucinate, It
Speaker 3: can always make mistakes, but that's the whole idea of
Speaker 3: this is that you know that this is rooted in
Speaker 3: your information, so technically it should be more factual. Now
Speaker 3: here's a super easy way to do this. If you
Speaker 3: don't want to go into notebook LM, just go to Gemini.
Speaker 3: Google's Gemini, you know, you can go to their AI,
Speaker 3: upload a file any like PDF or whatever and just
Speaker 3: wait for it to say generate audio overview and then
Speaker 3: it will generate that podcast right from their AI tool.
Speaker 3: And so it's really fun, Like once you try this,
Speaker 3: you kind of get hooked on it. It's really really
Speaker 3: fun to hear these people talk about your information.
Speaker 1: Okay, and you're going to dig into this a little
Speaker 1: bit more at your segment on KTLA this morning.
Speaker 3: Right, Yeah, that's coming up in just a few minutes,
Speaker 3: or you can get the link on my website.
Speaker 2: Rich on Tech dot TV. I'll put it there.
Speaker 3: This is just such a cool little tool to kind
Speaker 3: of have experiment with AI a little bit.
Speaker 4: Okay.
Speaker 1: It's kfi's tech guy, Rich Demurro. You can hear him
Speaker 1: every weekend Rich on Tech Saturdays from eleven to two
Speaker 1: right here on KFI.
Speaker 4: Of course, you can watch him on KTLA.
Speaker 1: And follow him on Instagram, Rich on Tech and everything
Speaker 1: he talks about. He puts it on his website, so
Speaker 1: if you missed it, or you're driving or something, you
Speaker 1: can always go to his website.
Speaker 4: Check it out. It's Rich on Tech dot TV. Thank you,
Speaker 4: Rich Demurro.
Speaker 2: All right, have a great day, all right, talk to
Speaker 2: you soon.