The AI Frontier

[00:00:06] to be back with you live for another incredible Tech Watch Radio Edition brought to you by

[00:00:24] network providers Inc.com. We are NPI tech guys NPI tech guys .com Jay Harrison's with

[00:00:31] me on the broadcast today. Hello sir, howdy Sam. How are you? I'm ready to go with

[00:00:36] all kinds of incredible tech sir as always story number one today Microsoft makes a push

[00:00:45] into smaller AI systems Karen wise and came met with the piece on this one and they say

[00:00:52] the company that is invested in billions of dollars in generative AI pioneers etc.

[00:01:01] I would say that big open AI systems a giant systems aren't necessarily what everyone needs.

[00:01:11] Yeah, in the big range they always thought bigger was better the price bag no matter it'll

[00:01:17] pay itself back on the back end but we're starting to find out that you know what that's not

[00:01:22] true we're starting to find out the smaller technologies can be just as powerful and in

[00:01:27] many ways even more powerful Jay that's true I've actually seen recently a cool idea that

[00:01:34] I'll tell you at the end of this story but it involves a small AI system.

[00:01:38] All right because the interesting thing here is they're saying look if you build a smaller

[00:01:45] system you can run it locally you can tailor the AI to your own purposes or needs let's

[00:01:51] just say for example we developed the Tech Watch Radio AI system a small one you know

[00:01:56] you can grab all the tech AI stuff and put it into your system and relatively it's a

[00:02:00] small system because it's a very unique niche even though there's a lot of tech data a lot

[00:02:05] of data is not that big of a deal as long as it's in a small very controlled system and

[00:02:10] so you could take these niche fields and use much smaller systems they're saying

[00:02:14] they're faster they're cheaper and overall in time they're smarter Jay I find that

[00:02:20] fascinating.

[00:02:21] It is in these large language models they don't have to be you know libraries and libraries

[00:02:27] of Congress as their training data so you can have for example in this thing that I saw

[00:02:33] recently somebody took a Raspberry Pi built it into a Pelican case that closes up and

[00:02:39] what they have in there is all of Wikipedia and a bunch of other stuff and it's supposed

[00:02:44] to be and it has a an LLM or an AI that runs on Raspberry Pi so it's not super

[00:02:49] fast just runs from the command line is all you ask it questions you can talk to it and

[00:02:54] it will give you answers and it's made to be it's sort of like a prepper thing but it's

[00:02:57] made to be where it can answer questions on anything you have health questions you have

[00:03:01] medicine questions you have planting questions questions about history politics astronomy

[00:03:06] anything you want because it has all of Wikipedia built into it and built into

[00:03:13] its training data it can just answer these questions I mean yes you could always

[00:03:18] download Wikipedia all of it and put it on an offline server kind of thing I've seen

[00:03:21] these before but not one where you can access it through a very small AI like this because

[00:03:27] otherwise you just have to read article after article if you're trying to get your arms

[00:03:30] around something whereas this parses through the data and allows you to ask questions

[00:03:35] interactively with it which is a pretty neat system.

[00:03:39] It's incredible and they say because the smaller models require less processing big

[00:03:44] tech can charge customers a lot less to use them Jay that's big.

[00:03:49] Yeah or not charge them at all I mean in this instance or the ones where you can run

[00:03:53] them locally on your own computer your own data set or your own photos or whatever I

[00:03:57] mean I think it's pretty cool that people will have access to this for their own

[00:04:01] needs and their own uses it doesn't have to be a huge GPT-4 sort of model.

[00:04:08] Now for example let's just say you're a doctor you could have a small AI system built

[00:04:12] into your practice if you're let's say a neck surgeon you know you that's a very

[00:04:15] specialized thing Jay so it could be even relatively powerful even though it's a

[00:04:20] small system with not a lot of processing power because of the way they

[00:04:23] you know set up the data in the system and the way they ask you know consistent

[00:04:28] routine questions if you can learn to ask questions in a pattern that's easy

[00:04:31] to understand in other words you can kind of learn the language of

[00:04:34] question asking for the systems which doctors can they can be trained and

[00:04:37] taught to and then you can pull out of the system you could run these

[00:04:41] doctor systems or if you're a knee surgeon or whatever you know and you can

[00:04:45] add news periodicals and updates from medical journals and all this kind of

[00:04:51] stuff into the system you can get a ton of answers with not as much data as

[00:04:56] you would think Jay. I agree and I think it can work in the other direction

[00:04:59] as well for customers I kind of look at it like a frequently asked questions

[00:05:03] on steroids if you have a system that knows a lot about your business

[00:05:07] or all the other questions that people have asked I mean people see

[00:05:10] frequently asked questions and they're helpful if especially if you can

[00:05:13] search them well but what if you just had an AI that was customer facing that

[00:05:17] could interact with all your FAQs and so the customer could literally ask the

[00:05:20] question that they really want to know how many watts is your you know this

[00:05:24] device or whatever the question is and it already knows or has all that data

[00:05:27] and it could just pass through because nobody really wants to read all

[00:05:30] that stuff to try to dig through it the AI will speed that up and it

[00:05:34] could be local and in small just for your company or your product or

[00:05:38] whatever I think could be very helpful and now you're getting to the

[00:05:42] quintessential point where they're kind of saying listen if I have a million

[00:05:47] pages Jay of data or let's just say I have a hundred thousand pages of data

[00:05:53] one is 90 percent smaller than the other however in that 100,000 pages

[00:05:59] of data can I get 80% of the questions that are asked whereas those

[00:06:04] extra 900,000 pages might only answer 20% of the questions that

[00:06:08] people need yeah in other words how smart how much data do you have to

[00:06:11] bring to the table to be useful and accurate and valuable and it almost

[00:06:16] seems like if you restrict the data set it because it can become

[00:06:19] accurate much quicker because if I find an error it's easier to fix

[00:06:24] and not have conflicting information and the list goes on and on and on

[00:06:28] so Microsoft and all these big companies are literally investing

[00:06:31] in these small models they're releasing them and letting people play

[00:06:34] with them and test them and use them for free on the condition

[00:06:38] that you give back what you learn and then they're taking that learning

[00:06:42] and applying it to small and large models that's going to bring in kind

[00:06:45] of an open open source software component to the AI world AI world

[00:06:51] in a lot of ways Jay.

[00:06:52] Yeah it'll be interesting maybe they'll make sense of the tax code

[00:06:55] you can just ask real questions and get real answers probably not

[00:06:58] gonna happen.

[00:06:58] Oh no because even when you call the IRS humans give you all

[00:07:02] different answers.

[00:07:02] Yeah.

[00:07:05] Although they could create a solid answer that's like this is

[00:07:08] the approved answer for this question ask the question anyway

[00:07:11] you like and we'll convert it to our language that we understand

[00:07:14] and then we'll feed you back the same answers.

[00:07:16] I mean that's where they're going to start to get to where

[00:07:18] hopefully you can start to get single source accurate information

[00:07:20] out of these things too.

[00:07:21] I mean that's in my opinion one of the real advantages of a

[00:07:23] computer being able to say look I know you asked this 14

[00:07:27] different ways different people but I can give you the same

[00:07:30] answer because I know what you're looking for and what

[00:07:31] you're answering and I know the answer is accurate so

[00:07:33] there's a lot to this Jay that we just scratched the

[00:07:36] surface of this stuff.

[00:07:37] Oh yeah definitely.

[00:07:39] All right you got a story for us Jay.

[00:07:41] Yeah absolutely.

[00:07:41] This one's not as not as positive it's a little bit sad

[00:07:44] actually.

[00:07:45] This is an FBI report yeah and it's a marker on last year.

[00:07:49] Is it as bad as all my data being hacked like a couple of

[00:07:52] times ago.

[00:07:54] No it's probably worse actually because it preys on the

[00:07:57] elderly so we all know that you have these overseas

[00:07:59] scammers and they're you know calling people up having

[00:08:03] people ship FedEx cards and Google Play cards from you

[00:08:07] know their local pharmacy they're buying them and they're

[00:08:09] getting scammed out of their money but we didn't really

[00:08:11] realize how bad it has been until they put together this

[00:08:13] report.

[00:08:14] So anyway this is for 2023 so just last year Americans

[00:08:19] and mostly elderly Americans lost 3.4 billion dollars to

[00:08:24] scams according to an FBI report yeah that is sad.

[00:08:28] That's a lot of money Jay.

[00:08:30] It's a lot of money and they're only getting worse.

[00:08:32] I mean we're talking about AI all the time these days

[00:08:34] say the number again.

[00:08:36] 3.4 billion with a B.

[00:08:38] Billion dollars yeah scammed out of people.

[00:08:41] Oh my telephone so we're going to have to start teaching

[00:08:45] grandma or whatever you know to say look whenever anything

[00:08:49] comes your way before you spend any money or before

[00:08:51] you sign up for anything or before you agree to

[00:08:53] anything please let one of us younger folks just kind

[00:08:55] of understand what you're doing yes to see if we

[00:08:58] can you know make sure that it's OK.

[00:09:00] We're not trying to babysit your grandma but we are

[00:09:02] trying to keep you safe and it's a crazy world out

[00:09:05] there and things seem more and more and more legitimate.

[00:09:09] I mean they've started to use AI in this voice

[00:09:11] generation to be like you know you think Sam your

[00:09:13] grandson is calling and yeah it's not Sam at all and

[00:09:16] those are the latest one Sam money and you know you

[00:09:18] don't because it's not true and Sam's like what I

[00:09:21] don't know anything about this and I mean that's

[00:09:23] what's happening right.

[00:09:24] Yeah always call try to verify a second way.

[00:09:27] Don't trust calls out of the blue and just do

[00:09:31] your best to you know keep those people and keep

[00:09:33] your loved ones especially you know the elderly

[00:09:35] are the less tech savvy in your life in the loop

[00:09:38] and protected because they're losing a lot of money

[00:09:41] in the sad part is we talked about this with ransomware

[00:09:44] the more this happens the more lucrative it is

[00:09:47] the more it's just going to fund more and more

[00:09:49] more of it.

[00:09:49] You're just going to see it constantly growing

[00:09:51] because it's such a money maker.

[00:09:54] Well and I think it's going to be just I hate

[00:09:56] to say this in such a negative term or whatever

[00:09:58] but I almost think it's just going to be open

[00:10:00] season on the naive and what I mean by that is this right

[00:10:04] now so ubiquitous so everywhere that even young

[00:10:07] people are going to be falling for this stuff

[00:10:08] everywhere.

[00:10:08] Jay.

[00:10:09] That's right.

[00:10:09] And it is.

[00:10:10] I don't mean to say that it's only I just

[00:10:12] say I mean predominantly but yeah younger people

[00:10:14] fall for it.

[00:10:15] People of all ages get scammed by all these

[00:10:18] different methods that they have whether it's

[00:10:20] the guy calling you saying it's Microsoft then

[00:10:21] he needs to log into your computer to fix

[00:10:23] whatever or it's your son or your brother

[00:10:27] or whatever calling and saying he's been

[00:10:29] kidnapped and you got to send so much money

[00:10:30] or been arrested and he's got to needs money

[00:10:32] to make bail.

[00:10:33] There's so many of them out there you can't

[00:10:35] even keep up with it and they're always

[00:10:36] building and thinking of new ones.

[00:10:39] So you just got to stay on your toes.

[00:10:40] You got to be careful and make sure you double

[00:10:43] check and try to verify.

[00:10:45] You know the article really focuses on those

[00:10:47] above 60.

[00:10:48] They don't really mention much about those

[00:10:50] below 60 but I'm telling you the more that

[00:10:52] he fakes become ubiquitous.

[00:10:55] Yeah what I mean by that is I think deep fakes

[00:10:57] are totally available and usable in almost

[00:11:01] perfect where you can't tell the difference at

[00:11:03] the high level.

[00:11:04] In other words if you're doing big data big

[00:11:06] computing spending money you can these things

[00:11:08] could be incredible.

[00:11:10] It's the reason you catch deep fakes now is

[00:11:12] because people don't spend much money on them

[00:11:13] and therefore you're getting kind of the

[00:11:14] bottom of the barrel under the words you're

[00:11:15] getting leaked little bits of the of the

[00:11:17] text ability to do this.

[00:11:19] You know you get what you pay for it's

[00:11:20] kind of the old adage on this but what

[00:11:22] I'm saying is right now you can detect them

[00:11:23] but eventually that super computing

[00:11:26] capability and that real AI knowledge is

[00:11:29] going to come to the table of the average

[00:11:31] consumer.

[00:11:32] Once it does you're going to have people

[00:11:33] exploiting this left and right to where

[00:11:36] it's going to be very hard to even know

[00:11:37] what's real even for the very savvy J.

[00:11:39] That's right the technology is only going

[00:11:41] to get better and it's only going to get

[00:11:42] harder to distinguish it from what isn't

[00:11:44] and we see it right now.

[00:11:45] I mean you can in five minutes you can

[00:11:48] get a reasonable facsimile or kind of a

[00:11:51] cheap knockoff but you spend a couple

[00:11:54] of hours and you gather some training

[00:11:56] data of somebody whether they've been

[00:11:57] talking on a podcast or anywhere else.

[00:12:00] For example this podcast I mean somebody

[00:12:01] wanted to fake Sam or J especially Sam

[00:12:03] Sam's got billions of hours on the

[00:12:05] radio so we wanted to fake Sam.

[00:12:07] It would be easy it would be it would

[00:12:08] be I shouldn't say trivial because

[00:12:11] the ones that are really good they

[00:12:12] put some time and money into it but

[00:12:14] it wouldn't you know anybody could

[00:12:15] do it anybody that was dedicated and

[00:12:17] had the time could make it happen.

[00:12:19] All right well to me it's scary they

[00:12:21] say there's a disproportion.

[00:12:24] What's the word disproportionate

[00:12:26] disproportionate disproportionate

[00:12:27] Americans over 60 they're getting hit

[00:12:29] by this right now.

[00:12:30] Very true.

[00:12:30] I'm telling you the more the more

[00:12:31] capable these AI you know systems get

[00:12:34] the more savvy and creative and

[00:12:36] auto responsive they become to where

[00:12:38] it can act like more of a human and

[00:12:39] respond and answer questions and even

[00:12:41] no details about you even if

[00:12:43] grandma savvy and that she's like

[00:12:45] Sam how old are you you know if

[00:12:47] Sam knows my age or if that bot

[00:12:49] knows my age and it can respond she

[00:12:51] can still be deceived.

[00:12:52] That's all you know the more details

[00:12:54] that are out there about you and

[00:12:55] the more they become you know life

[00:12:57] like so to speak the more deceived

[00:13:00] I think that number will go from

[00:13:01] 60 to 30 and pretty soon it'll be

[00:13:04] everybody they say average losses

[00:13:06] are about $30,000 of victim Jay.

[00:13:08] Yikes.

[00:13:09] That is huge.

[00:13:11] I mean that's someone's life

[00:13:12] savings in many cases Jay.

[00:13:14] Absolutely or they borrowed it

[00:13:17] even in their you know getting hit

[00:13:19] on both sides.

[00:13:22] Anyway all I can tell you is it's a

[00:13:24] scary situation I thought would

[00:13:25] bring that to your attention.

[00:13:27] People are wondering to Jay they

[00:13:30] say find great note taking apps.

[00:13:32] So I want to know what your great

[00:13:33] note taking apps are the ones they

[00:13:35] mentioned here are Google key or

[00:13:38] Google keep I guess it's called

[00:13:39] Google keep Apple notes a notion

[00:13:44] bear Microsoft one note.

[00:13:48] I've never used some of these.

[00:13:50] I don't know about bear and I don't

[00:13:51] know about a lot of those believe

[00:13:52] it or not I use a text file a lot

[00:13:54] Jay I just really type windows are

[00:13:56] for the command line type in note

[00:14:00] notepad hit enter type what I want

[00:14:03] save it and I know it's super

[00:14:04] text file based and I know it's

[00:14:06] not even a very powerful editor.

[00:14:08] But for me and a lot of notes

[00:14:09] that works great I use stars for

[00:14:11] things that I want to be able

[00:14:12] to search for and get back to

[00:14:13] and I have my own kind of scheme

[00:14:16] schema or whatever to make it

[00:14:17] work but I just keep it super

[00:14:19] simple and a lot of these

[00:14:19] note takers you know ever note

[00:14:21] and this and that and whatever

[00:14:24] that Microsoft one note seems

[00:14:26] to be on your computer the

[00:14:27] problem is where I switch

[00:14:28] computers I could never get my

[00:14:29] notes to the new computer it's

[00:14:30] a hassle and I have I can not

[00:14:32] tell you how many times I

[00:14:33] like so I'm in one note on

[00:14:35] everything I don't use one

[00:14:36] note at all.

[00:14:38] Yeah but you know I use a

[00:14:39] note taker that you use right

[00:14:40] yeah there is the one that I

[00:14:42] use the most is probably called

[00:14:43] simple note that is a text based

[00:14:46] note taking app but it's

[00:14:48] cross platform so you can have

[00:14:49] it on your desktop you have it

[00:14:50] on your phone you have it in

[00:14:51] multiple places it all sinks up

[00:14:52] over the internet.

[00:14:55] But I still use notepad in the

[00:14:57] computer a lot so my I have a

[00:14:58] shortcut key just control and

[00:15:00] for new like a new note and

[00:15:02] I like someone calls for

[00:15:03] example on the phone is

[00:15:05] controlled and and I'm taking

[00:15:06] notes in the notepad I use

[00:15:07] that a ton for notes that I

[00:15:09] want to keep or share or do

[00:15:11] other things with I use

[00:15:11] simple note a lot.

[00:15:13] I used to use Apple notes

[00:15:14] some but I just haven't that

[00:15:16] much anymore but you know I

[00:15:17] came over from long ago I

[00:15:20] actually back on Windows 3 1

[00:15:22] and move through 95 98 and

[00:15:24] everything else.

[00:15:25] I was using an RTF document

[00:15:28] which is rich text format and

[00:15:31] and just had a lot of notes

[00:15:31] in there which was searchable

[00:15:32] in one big document.

[00:15:34] I kind of got away from that

[00:15:35] now I use a lot of things in

[00:15:37] Google contacts so if it's

[00:15:38] about a person I'll put some

[00:15:40] notes in there or certain

[00:15:41] things but a lot of things I

[00:15:42] also do I use bit warden.

[00:15:44] You can have secure notes in

[00:15:46] that and you can have

[00:15:47] credentials in there you put a

[00:15:48] lot of notes with credentials

[00:15:49] which was also a lot of things

[00:15:50] that I do but so personally

[00:15:52] notes for me simple note it's

[00:15:54] an app simple note app I

[00:15:55] believe is the domain let me

[00:15:57] say I actually haven't pulled

[00:15:58] up right here yeah that's

[00:15:59] app dot simple note dot com

[00:16:00] that's what it is so you got

[00:16:02] app dot simple note dot com you

[00:16:03] just register for it is

[00:16:04] completely free and I use

[00:16:06] that a lot and you know

[00:16:08] that's kind of my note

[00:16:09] solution maybe it's a little

[00:16:09] bit old school but I don't

[00:16:12] actually I don't think with

[00:16:13] using bit warden and Google

[00:16:15] contacts for a lot of notes is

[00:16:17] probably more techie but you

[00:16:20] know a lot of people use

[00:16:21] ever note and I'm surprised

[00:16:23] that wasn't in the list that

[00:16:24] you mentioned there are a lot

[00:16:26] of yeah it wasn't other a

[00:16:28] lot of options out there

[00:16:29] that's for sure there's

[00:16:30] another one like ever known

[00:16:31] it's it's alluding me right

[00:16:32] now I can't remember the name

[00:16:33] of it but it was a big

[00:16:34] competitor kind of with ever

[00:16:35] note and but ever note has

[00:16:37] really kind of nerf their

[00:16:37] system so they had a really

[00:16:39] good free option for a while

[00:16:40] and now their free option is

[00:16:43] not very good at all kind of

[00:16:44] reminds me what last past

[00:16:45] did where you could only have

[00:16:46] it on either a computer or a

[00:16:48] cell phone but it seems like

[00:16:49] whenever they get a hold of

[00:16:50] something they ruin it don't

[00:16:51] they do and I don't know why

[00:16:54] or how that is but it seems

[00:16:55] like that's just why order of

[00:16:57] the day the why is they want

[00:16:59] to monetize it and so they

[00:17:00] feel like if they cripple it

[00:17:02] enough but get enough people

[00:17:03] used to it or get that a

[00:17:04] critical mass then once and

[00:17:07] once they do and it's been

[00:17:08] known for really good and

[00:17:09] you got to start that way then

[00:17:10] they can hobble it and people

[00:17:12] still just kind of go along to

[00:17:13] get along or they'll stay with

[00:17:14] it in my case with last

[00:17:16] pass and I was already a paid

[00:17:17] version so it didn't really

[00:17:18] affect me but I couldn't get

[00:17:20] new users onto it because of

[00:17:22] the way they had crippled it

[00:17:23] or nerfed it so to speak

[00:17:24] and so bit one which is

[00:17:26] completely open source and

[00:17:27] free for personal use forever

[00:17:30] is where I've told people and

[00:17:32] that's a really good place

[00:17:32] to put some secure notes

[00:17:34] to I think our credit cards

[00:17:35] or whatever you want to

[00:17:35] store their credentials

[00:17:37] primarily credentials

[00:17:39] well there you have it I find

[00:17:40] that interesting and I find

[00:17:43] note taking a very simple

[00:17:44] thing I find that a lot of

[00:17:45] times people want all these

[00:17:46] complicated apps that do all

[00:17:47] these things and I find most

[00:17:50] often that remember the more

[00:17:52] complicated it is to use the

[00:17:54] more detailed it is to enter

[00:17:58] the less people tend to use

[00:18:00] it Jay and so I find that for

[00:18:01] me that's why you know I

[00:18:03] just use text files and I use

[00:18:05] the name or the title of

[00:18:06] something that I want for

[00:18:08] the text files or I have a

[00:18:09] big text file with a bunch

[00:18:11] of different stuff in it

[00:18:12] whether you do it that way

[00:18:13] or you whether you attach it

[00:18:14] to notes based on contacts

[00:18:16] or based on but do you have

[00:18:19] do you have a good way to

[00:18:19] search through your text

[00:18:21] file like let's say you want

[00:18:22] to search for some but you

[00:18:22] don't know what file it's

[00:18:23] in do you have a good way

[00:18:24] to search through all of

[00:18:25] your text only because I

[00:18:26] can search I can use

[00:18:28] everything Jay gave me this

[00:18:30] utility it's really good and

[00:18:31] I can search for the title

[00:18:32] of what I want to remember

[00:18:33] half of it nine times out of

[00:18:34] 10 I can find it yeah

[00:18:35] that everything app is a

[00:18:36] great app it makes Windows

[00:18:39] I was actually just read an

[00:18:40] article the other day this

[00:18:42] week literally of somebody

[00:18:43] who said this was on how

[00:18:45] to geek dot com and they

[00:18:46] were saying I'm moving to

[00:18:48] Apple and I'm never going

[00:18:49] back to Windows and one of

[00:18:50] their key points was how

[00:18:51] well spotlight works on

[00:18:52] Apple to find stuff and I

[00:18:54] as I'm reading this I'm

[00:18:55] just thinking Ben you

[00:18:56] should have tried everything

[00:18:57] before you switched because

[00:18:59] everything may is like

[00:19:00] spotlight but for a Windows

[00:19:01] computer.

[00:19:03] Yes but I would think I

[00:19:05] think really everything is

[00:19:06] even more powerful the

[00:19:07] spotlight is yeah I do

[00:19:09] spotlight and it's good but

[00:19:11] it's not as good as I'm just

[00:19:13] telling you it's shocking how

[00:19:14] good this everything is it

[00:19:16] can find things that I'm like

[00:19:18] I only knew about a tenth

[00:19:19] of what I was talking about

[00:19:20] when it found that I'm like

[00:19:21] oh yeah yeah yeah yeah.

[00:19:23] I'm okay now I'm ready to go.

[00:19:27] I spent 10 15 minutes

[00:19:28] looking for something using

[00:19:29] Windows search and command

[00:19:30] lines and then I remember

[00:19:31] everything and I'll be like

[00:19:32] oh yeah and it will find it

[00:19:33] in seconds and I'm just

[00:19:34] like why didn't I start

[00:19:35] there.

[00:19:36] All right is the note ticker

[00:19:38] you use called simple note

[00:19:38] dot com J.

[00:19:39] Yes simple note dot com and

[00:19:41] then the app for it is app

[00:19:42] dot simple note it come in

[00:19:43] and then it just runs on a

[00:19:44] browser you don't even

[00:19:45] install it or anything it

[00:19:46] just runs from a browser.

[00:19:47] And it runs on your phone it

[00:19:49] runs on any device pretty

[00:19:50] seamlessly to two and I'm

[00:19:52] you know everybody used to

[00:19:53] the rage is kind of like

[00:19:54] let's make an app for this

[00:19:55] make an app for that let's

[00:19:56] you gotta have an app you

[00:19:57] gotta have an app now

[00:19:58] people are starting to say

[00:19:58] no we can write good enough

[00:19:59] stuff just in the cloud on

[00:20:01] a URL and we don't need an

[00:20:03] app for it and simple note is

[00:20:05] a great example of that.

[00:20:07] Less annoying CRM one of the

[00:20:08] greatest simple contact

[00:20:10] managers out there is like

[00:20:11] that too they don't have a

[00:20:13] phone app they just have you

[00:20:14] know their portal and you

[00:20:15] can connect to it and it

[00:20:16] renders on anything and does

[00:20:18] a great job I actually like

[00:20:19] that better than installing

[00:20:20] a bunch of apps that need

[00:20:21] to be updated or shoot I

[00:20:23] don't have the app or

[00:20:25] whatever you know all you

[00:20:26] gotta do is just you know

[00:20:28] put a little link on your

[00:20:30] desktop for it and boom and

[00:20:32] they're even starting to

[00:20:32] have where you go to the

[00:20:33] website and just click a

[00:20:34] button then it will literally

[00:20:35] add the little app link to

[00:20:37] your desktop and then launch

[00:20:38] it in your browser even on

[00:20:39] your phone I don't know if

[00:20:40] you call a desktop on your

[00:20:41] phone but you know I'm

[00:20:42] saying your home screener

[00:20:43] whatever your workspace it

[00:20:45] just puts it right there

[00:20:46] for you and it it behaves

[00:20:47] and acts virtually just like

[00:20:49] an app that way Jay.

[00:20:50] Yeah less annoying CRM I've

[00:20:52] recently had a chance to

[00:20:53] play with it and did some

[00:20:54] data import from a big list

[00:20:56] file and I was really

[00:20:58] impressed with how well

[00:21:00] thought out it is and how

[00:21:02] simple it is it kind of

[00:21:03] reminds you of that like

[00:21:05] web 3.0 experience that

[00:21:06] that places like Square and

[00:21:08] some of these newer websites

[00:21:10] where they've got it all

[00:21:11] well thought out cash app is

[00:21:12] another one which I guess

[00:21:14] that's the same company so

[00:21:17] Robin Hood is one where the

[00:21:18] interface the user interface

[00:21:20] is very intuitive and

[00:21:22] very complex but still

[00:21:24] simple to use they've got

[00:21:25] a great help section

[00:21:26] without installing app for

[00:21:28] everybody though because you

[00:21:29] don't worry about getting

[00:21:30] the latest version or you

[00:21:31] don't have to exactly about

[00:21:32] this or that you don't got to

[00:21:33] go to the app store you don't

[00:21:34] got it and it's just in the

[00:21:36] portal in the cloud and if

[00:21:37] they make any changes to it

[00:21:38] next time you visit it the

[00:21:39] changes are already there

[00:21:40] and you don't know you don't

[00:21:40] care unless it's something

[00:21:42] that changes that frustrates

[00:21:43] you or unless it's something

[00:21:44] just killer that you didn't

[00:21:45] know about but I'm just

[00:21:47] saying that it's that it's

[00:21:48] way more seamless this way

[00:21:49] Jay. The other interesting

[00:21:50] test it as soon as it's

[00:21:51] rolled out instantly by a

[00:21:53] ton of people to yeah when

[00:21:54] you roll that out if you

[00:21:55] have lots of users and

[00:21:56] in two hours it's already

[00:21:57] thoroughly tested almost.

[00:21:59] That's right and you don't

[00:21:59] have to get updates or go

[00:22:01] through the Apple store and

[00:22:02] have all these permissions

[00:22:03] and everything else.

[00:22:04] And in the case of less

[00:22:06] annoying CRM I also like

[00:22:08] their pricing schedule.

[00:22:09] You know it was very simple.

[00:22:11] It's I think it's $15 per

[00:22:12] user but you could actually

[00:22:14] use one user account and

[00:22:16] have it logged in in

[00:22:17] multiple areas if you

[00:22:18] needed to for some reason

[00:22:20] but just clean product.

[00:22:22] You know there's not an

[00:22:23] endorsement or anything

[00:22:24] else because it's not

[00:22:26] sponsored but it certainly

[00:22:27] is my endorsement.

[00:22:28] I just thought they did a

[00:22:30] really good job in the

[00:22:31] chance that I had to test it

[00:22:32] recently.

[00:22:33] And you're talking about

[00:22:33] less annoying CRM.

[00:22:34] Yes.

[00:22:36] Yes it is an incredible

[00:22:37] piece of software one of

[00:22:38] the things that I really

[00:22:39] like about it.

[00:22:40] Number one it's a really

[00:22:40] powerful database but it's

[00:22:42] very simple to use.

[00:22:42] They've got videos that

[00:22:43] you can just watch there

[00:22:45] between five and eight

[00:22:46] minute videos.

[00:22:47] I don't know how many

[00:22:48] there is.

[00:22:48] There's 12 of them.

[00:22:49] You watch really

[00:22:50] worse you watch all the

[00:22:51] videos that you really

[00:22:52] get caught up on how

[00:22:53] the system works and

[00:22:55] what it does and all

[00:22:55] that kind of stuff.

[00:22:57] And then you just you

[00:22:58] know launch the system

[00:22:59] it's very intuitive very

[00:23:00] easy to use.

[00:23:02] Best of all though they have

[00:23:03] a one size fits all pricing

[00:23:05] so it doesn't matter if

[00:23:05] you're big company or a

[00:23:06] tiny company from one user

[00:23:08] to 100 users is just 15

[00:23:10] bucks a month per user.

[00:23:11] No discounts for anybody

[00:23:13] and no discounts for

[00:23:14] schools or educations or

[00:23:15] nonprofits or anything.

[00:23:16] Look it's only 15 bucks

[00:23:18] and they find that man

[00:23:19] it's just incredible

[00:23:21] how with very few users

[00:23:23] you can have a real

[00:23:24] powerful database with

[00:23:26] custom fields and

[00:23:27] everything and it has you

[00:23:29] know the ability to search

[00:23:31] on all these different

[00:23:31] custom fields and find

[00:23:33] things and it has basically

[00:23:34] businesses and contacts and

[00:23:36] contacts can be associated

[00:23:37] with businesses.

[00:23:38] It's very powerful.

[00:23:39] It's got a whole pipeline

[00:23:41] that can manage your

[00:23:42] customer relations kind of

[00:23:43] experience from you know

[00:23:45] people that are just

[00:23:46] interested to perspective

[00:23:49] clients to full blown

[00:23:50] clients.

[00:23:51] You know you can control

[00:23:52] that whole pipeline and

[00:23:52] follow up.

[00:23:53] It's got reminders and

[00:23:54] tasks but it's an

[00:23:56] amazing piece of software

[00:23:57] and for 15 bucks a

[00:23:58] month there's no penalties

[00:23:59] there's no startup costs.

[00:24:01] If you want to quit

[00:24:01] there's no cost except for

[00:24:03] you just turn it off and so

[00:24:04] you don't even have a

[00:24:04] contract of any kind.

[00:24:05] You know if you need

[00:24:06] five people in it five times

[00:24:08] 15 75 bucks a month your

[00:24:09] five people have access

[00:24:10] to this and they can

[00:24:11] access it on their phone.

[00:24:13] They can link it to their

[00:24:15] email where it can

[00:24:16] literally BCC the CRM when

[00:24:18] you send something to

[00:24:19] somebody.

[00:24:19] So it adds it as a note

[00:24:21] to your contact.

[00:24:21] It is amazing.

[00:24:23] It's called less annoying

[00:24:24] CRM check it out.

[00:24:25] We don't get a penny

[00:24:26] to feed you that lead

[00:24:28] but I'm telling you

[00:24:28] it's a great one for

[00:24:30] small to medium business.

[00:24:31] I'll tell you that right

[00:24:31] now for Jay Harrison and

[00:24:33] Sam Bush would like to

[00:24:34] thank you.

[00:24:34] We like to keep an eye on

[00:24:35] texting you don't have to

[00:24:36] network providers Inc.com

[00:24:38] for our company and Pitech

[00:24:40] guys dot com for the

[00:24:41] show's website.

[00:24:42] Thanks so much and make

[00:24:43] it a great tech day.

[00:24:44] Will you?