0:00

This week we are going to

0:02

discuss how open source crashed the

0:04

stock market. That's a big deal.

0:06

Good job. A lot of big

0:08

tech companies are feeling really shameful

0:10

right now. We're going to get

0:13

into it later in the show.

0:15

Welcome to Destination Linux where we

0:17

discuss the latest news, hot topics,

0:20

gaming, mobile and all things open

0:22

source and Linux. And we discuss

0:24

all of those things if we

0:27

have time to finally get. to

0:29

all the different stories that we

0:31

have. We're doing pretty good this

0:33

week. This past couple weeks. Yeah,

0:36

we did. We did good one

0:38

week, Michael. Two weeks, I think

0:40

two weeks in a row. Two weeks

0:42

in a row. Oh wow, look at

0:45

that. We got this. Let's go for

0:47

three. Let's go for three. Three.

0:49

And with me today are

0:51

the floppy disks of podcasting

0:53

Jill and Michael. Are you

0:55

calling us obsolete? Ooh, Rah!

0:57

Do you see that? I'm

0:59

unhackable. She's like, ooh, rah.

1:02

Flopiest. I love it. I

1:04

knew Jill was saying that

1:07

it's compliment. You know,

1:09

absolutely. Of course, of course

1:11

she went. We're also going

1:13

to be discussing Apple

1:15

being forced to open

1:17

its magical gates to

1:19

its garden. That's really

1:22

exciting there. Now let's get

1:24

this show on the road toward

1:26

destination. Linux. Our

1:28

feedback this week comes from

1:31

Allen. They have this to

1:33

say. I work in a

1:35

public defender's office and I

1:37

am of course the computer

1:40

systems administrator.

1:43

Administrations. Is that

1:45

a official position, Michael,

1:47

an administrator? I

1:49

think it's pronounced administrator. I

1:51

thought it was a minute.

1:54

So it's a combination administration

1:56

and err so as administrator.

1:58

I'm pretty sure. right. And

2:00

let us know by going

2:02

to destinationnics.net/feedback and or comments

2:05

that's it. Oh good job

2:07

Michael. I'm messing up all sorts

2:09

of stuff. Anyway he goes on

2:11

to say I love your show

2:13

and love Linux. I am setting

2:15

up a llama and open web

2:17

UI for an internal AI for

2:20

our attorneys to use with the

2:22

intention of the AI being arguing

2:24

the prosecution's case so our attorneys

2:26

can be better prepared. My first computer

2:28

was back in the 1980s

2:30

and it was in Epson

2:32

80-88 with an aftermarket 20

2:34

megabyte hard drive. That's right.

2:36

The insanely large 20 megabyte

2:38

hard drive that sounded like

2:40

a snare drum and a

2:42

CGA monitor. Yeah, he says I am

2:44

a little bit on the older side. Keep

2:47

up the good work. So first of

2:49

all, I love those sounds of

2:51

the older machines like to me.

2:53

That's just a symphony. It's an

2:55

orchestra. And literally there's like a,

2:57

that video, there's a YouTube channel,

2:59

I don't know if it still

3:01

exists, but at one point they

3:03

were making like songs using computer

3:06

hardware from like those days.

3:08

Yeah, hard drives, floppy drives. It's

3:10

awesome. That's one of my favorite.

3:12

Yeah. Those were the days out

3:14

there. And you know, the whole

3:17

idea of utilizing AI for law

3:19

practice and things is it's huge.

3:21

I have family members, the practice

3:23

law. AI has been a massive

3:25

time saver for them. Just as

3:27

an example, here are some use

3:29

cases that are being used with

3:31

AI when it comes to law.

3:33

Obviously legal research, but they have

3:35

specialized AI tools like Ross and

3:37

LexisNexis, which provide case law. So

3:39

when you think about a lot

3:41

of times when they're going through

3:44

different cases, they're trying to

3:46

find other cases that set the

3:48

president. of how it should be

3:50

what should be ruled on it.

3:52

Right? And so in this case you

3:54

have an AI tool. Well, not

3:56

the president, the precedent. That's why

3:58

I said, didn't I? It sounded like

4:01

president. What? Yeah. And you're

4:03

doing me a hard time

4:05

for announcing things. Not again,

4:07

Jill. You did this last

4:09

week, Jill. You were a troll

4:11

last week. I want to go

4:13

back and look at the footage.

4:15

I'm pretty sure I said precedent

4:17

for sure. 100%. Well, when the

4:20

president is going through laws. Okay.

4:22

So the precedent set the precedent so

4:24

they go back and it can look

4:27

through millions of cases at a time

4:29

right to find similarities versus having somebody

4:31

sitting there and you know looking at

4:33

case by case by case so the

4:36

amount of the speed of being able

4:38

to find other laws or other rulings

4:40

on uncertain cases is just incredible so

4:42

you could see that would be a

4:45

huge help. Also like going through discovery

4:47

because they give you like mountains of

4:49

things and all that sort of stuff.

4:51

like you know any like those kinds of

4:53

things and then going to like trying to

4:56

find case law and all that stuff like

4:58

there is so much potential for this

5:00

also let's hope it doesn't hallucinate

5:02

Yes, it starts talking like a pirate

5:04

in the middle court. It can't

5:06

obviously argue for you. But, well,

5:09

people will probably try, I'm sure.

5:11

There are lawyers and there's really

5:13

bad lawyers and there's some really

5:15

bad lawyers are going to use

5:17

AI for their whole, their whole

5:19

practice is just going to be

5:21

one big AI readout. There's already

5:23

one that happened and it's already

5:25

blew up in their face. Okay.

5:27

Good shop. That sounds exactly right.

5:29

Contract analysis. Michael, we have to

5:31

do contracts all the time and

5:33

that's, you know, looking at these

5:35

contracts can be daunting because Michael

5:38

does the best impression of the

5:40

contract wording. It's like here too,

5:42

therefore, here in course, all of those special

5:45

words. And it can make it difficult

5:47

to understand what's saying. So you could dump

5:49

that contract in AI and say, hey. What

5:51

does this really mean? What are the implications

5:54

of this? And it can spot different clauses

5:56

that might pose risks. Well, Michael A. I

5:58

says the party of the first... heart is

6:00

invalid. I don't know. Michael AI

6:02

is great for law cases. If you

6:05

want to use it for that, it

6:07

is out there for free. I gave

6:09

it to the world. Definitely. Don't. Don't

6:11

use that. If you're going to

6:14

represent yourself using Michael AI,

6:16

it will totally help you

6:19

out. You're legal castrics. We

6:21

are kidding. Don't do that. by

6:23

quickly processing vast amounts of key

6:25

data like you mentioned and then

6:27

the judicial decision support jurisdictions use

6:30

AI to assist judges in predicting

6:32

outcomes based on prior past cases

6:34

so again you can load so

6:36

much information into it and they

6:39

can process it so quickly that

6:41

it's really a perfect use case

6:43

for a profession. I do wonder

6:46

though will paralegals be impacted by

6:48

this a lot? You know, because

6:50

paralegals used to do a lot of

6:52

that research and work. It's a great job.

6:54

You make good money with it. So hopefully,

6:57

you know, AI continues to be

6:59

a asset to make things quicker.

7:01

They can work on more cases

7:03

more efficiently. But Michael, to your

7:06

point, when you deal with the

7:08

hallucination in AI, The idea of you're just going

7:10

to use AI and get rid of your

7:12

paralegals would be career law firm suicide I

7:14

feel like. You know, just you got to

7:16

have a human there. You may not need

7:18

as many potentially but you definitely still

7:21

need some humans there. I think I think

7:23

more I think the a lot of people

7:25

looking at this in like a negative because

7:27

a lot of people are not ambitious

7:29

enough and I mean that in the

7:32

sense of like people who run businesses

7:34

and companies. look at it like oh

7:36

we can replace people and like why

7:38

you could instead supplement them and have

7:41

them do more so instead of doing

7:43

higher having less people on board you

7:45

can actually get more customers because

7:47

they can handle more workload because

7:49

they have this why would you

7:51

not it's weird that people don't

7:53

look the other way and they

7:56

look like well I think everyone's

7:58

been jaded by corporate America and

8:00

the fact that every company was

8:02

drilling at the fact of getting

8:04

rid of employees when this first

8:06

happened. I mean, before AI even got

8:08

to the point it is, companies were

8:10

firing people, getting rid of their

8:13

staff, in anticipation for what AI could

8:15

do. It hadn't even done anything yet.

8:17

You know, they just were like, oh,

8:19

we don't need all this anymore. We're

8:21

going to get rid of like, they,

8:24

because they're so beholden to their stock

8:26

holders. who, you know, only care that you're

8:28

able to double the stock every year.

8:30

They're drilling at the idea of getting

8:33

rid of their employees. They can't wait.

8:35

They are so excited. It looks like

8:37

they can kind of pretend that they

8:39

did something of value. Yeah. Oh, they're

8:42

just, they're drawing at it. They're like,

8:44

oh my God, if I could just

8:46

get rid of them. I mean, they're

8:48

like family. We're all one big family

8:51

here, but I cannot wait to

8:53

get rid of them. You know,

8:55

you know, you know, you know,

8:57

And it's actually kind of perfect

8:59

because I never thought about it.

9:01

They always talk about, oh,

9:03

we're a family here and

9:05

I've never, I never, I

9:07

don't know why it never like

9:10

popped in my head.

9:12

But there's literally a phrase

9:14

that says never do business with

9:16

friends and family. You don't want

9:19

that. It doesn't make any sense.

9:21

Excuse of a business that's ever

9:23

existed in humanity. Which is proof

9:25

that we're like a family because

9:28

we it's it's a mess. It's

9:30

just one big slop. Yeah. Well,

9:32

thank you so much, Alan,

9:34

for writing in and letting

9:36

us know and sharing a

9:38

little bit of your journey

9:40

with computers. Yeah, the Epson

9:42

8088 was part of the

9:44

Epson Equity series of computers,

9:46

and they were wonderful. I've

9:48

actually got an Epson Equity

9:50

2 Plus with an Intel

9:52

286 in my collection. Of

9:54

course you did. Actually, one of

9:56

my computer labs when I

9:59

was teaching. we used Epson equities

10:01

for a while. So I got

10:03

to set all those up and

10:06

deploy them and they were great

10:08

machines at half the price of

10:10

the IBM compatible. So that was-

10:12

I smell a treasure hunt because

10:14

I kind of want to see

10:17

this thing. Is it too big to

10:19

hold up, Jill? Yeah, and heavy. It'll

10:21

have to be on the cart, huh?

10:23

Yeah, it would. Well no I really appreciate

10:25

you writing in this feedback Alan is

10:28

awesome because it allows us to kind

10:30

of talk about what's going on in

10:32

the AI world different use cases for

10:34

the AI world if you have use

10:36

cases in the AI world that you want

10:38

to send to us how you're using it

10:40

how it's making your life better easier

10:43

us making your life work worse if

10:45

if you are in a corporation

10:47

and it's all one big family

10:49

and AI is threat of doom

10:51

and gloom let us know Your

10:54

thoughts on that go to destination

10:56

linux.net/comments or destination Linux dot

10:58

net slash forum Also if

11:00

speaking of the corporation if

11:02

they're like family, let us

11:04

know if Bob's your uncle Very nice

11:07

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your security strategy. Michael, did

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you know? You can actually test

12:46

this for free. Even if you're

12:49

not a business yet, you're thinking

12:51

about opening one. Twenty. Wow. That's

12:53

all your fingers and all your

12:56

toes, Michael. All my fingers and

12:58

all my toes can run your servers.

13:00

That's 20. That's 20 of them right

13:02

there. It's a very efficient typing

13:04

process though. The interface to

13:07

the software, its capabilities are

13:09

truly awesome. Check out Sandfly,

13:11

destination linux.net. Sandfly really is

13:13

an amazing tool. You gotta

13:15

check it out. Michael, this episode,

13:17

you know, you give me some crap

13:19

sometimes that I write episodes about AI, but

13:22

you're going to see that I was

13:24

like, took your feedback and was like, no

13:26

more AI. We're not talking about AI. And

13:28

then something this week happened, and then

13:30

I literally message you saying, hey,

13:33

this better be on the show. Yeah,

13:35

this is going to be on the

13:37

show. All right, so unless you're living

13:39

under a rock like Michael because he

13:41

doesn't listen to any news at all

13:43

Except for this I did hear about

13:45

somehow popped up on his feed somewhere

13:47

If it's tech news, I'll pay attention

13:49

if it's regular news, then I don't

13:51

pay attention Yeah, the tech stock sell

13:54

off caught a lot of people by

13:56

surprise like yesterday the stock just completely

13:58

tanked We recorded this on Wednesday for

14:00

invidious, Microsoft, huge, AMD, they

14:02

all slid, like 15% in

14:05

some cases, like these were

14:07

huge stock slides. I think like

14:09

the whole, like the whole number,

14:11

now this could be just like

14:14

what I heard, it might not

14:16

be accurate, I'll just give a

14:18

round figure, but there's people saying

14:21

that the drop of the stock

14:23

market was like $500 billion dollars.

14:26

Yeah. Like collective. Yeah, I

14:28

heard in video was up to

14:30

17% more. Yeah. This is how

14:32

stupid shareholders are. Like, you can't

14:34

use them to run your business. If

14:37

companies could understand this, like, when I

14:39

say stupid, I mean, as a group

14:41

mentality that shareholders have, they hear any

14:43

little news. and they have no they

14:45

don't even know the industries they're investing

14:48

in they barely understand what they're working

14:50

on they just heard AI they put

14:52

a bunch of money in it and

14:54

then they're like i don't know what

14:57

it is but it sounds cool and

14:59

then if any news hits they don't

15:01

take any time to like what's the

15:03

overall impact what's the long-term impact what's the

15:05

long-term impact what are other things they're coming

15:08

out and other they don't know any of

15:10

that they're stupid as a whole and if

15:12

any of those people are listening to this

15:14

episode. Contact makes, I'm

15:16

starting my own companies

15:19

called blockchain, Bitcoin slash

15:21

AI. So, you got all the

15:23

other words in there? Yeah, all of

15:25

them. I, oh, dot I, yeah. Very

15:27

good, Michael, very good. I'm going to

15:29

invest in that because meme coins are

15:31

all the rage right now. I don't

15:34

know why, but they are. I don't

15:36

know. Like, there's literally not one

15:38

that is of any value, but

15:40

for some reason people still are.

15:42

doing it, I lie. I mean, I

15:44

want to be clear that buying shares in

15:46

the company and investing in the

15:49

company is awesome. It's such a

15:51

great idea and it helps so

15:53

many companies out. The problem is

15:55

companies listening to their shareholders

15:57

and doing everything their shareholders.

16:00

one without any gatekeeping and because

16:02

as a whole they're stupid and

16:04

you can see it with this

16:06

like they literally are like acting

16:08

like the world is on fire

16:10

because there's another competitor to AI

16:13

as if nobody else in the

16:15

industry was ever going to create

16:17

competition for the US we were the only

16:19

ones who were ever going to have AI

16:21

that's it yeah I have no idea where

16:23

this is from it's from a movie or

16:26

TV or something where it's like it's such

16:28

a great saying where it's A person

16:30

is smart, but people are stupid.

16:33

Yes. It's like it's like a

16:35

collective when as a collective

16:37

we can we we get worse and

16:40

worse the more get us all

16:42

together. We're stupid. You put us

16:44

all in a room or morons,

16:46

you know, individually, brilliant. Yeah.

16:48

So, you know, the stock market

16:50

freaked out and why are they

16:53

freaking out because this Chinese startup

16:55

AI tool or company known as

16:57

deep seek seek gained. 1.6 million

16:59

downloads on its debut of its

17:02

AI. They said it's not only

17:04

cheaper, it requires less resources

17:06

to run on than the

17:09

other models that also utilizes

17:11

reasoning-based AI to solve problems,

17:13

which means it's on par

17:15

with ChatGPT's latest model, which

17:18

of course costs hundreds of

17:20

billions when you look at the

17:22

whole amount of investments that have

17:24

been made into AI. And so... you know,

17:27

meta chiefs, AI scientists stated,

17:29

it's not that China's AI

17:31

is surpassing the US, but

17:33

rather that open source models

17:36

or surpassing proprietary ones. Boya,

17:38

boya, I'm kind of... That's

17:40

the best part. I think

17:42

that this is really interesting

17:44

news and I think there's

17:46

definitely some pros and cons, you

17:48

know, to everything, but this is

17:51

wonderful news because it's open source

17:53

and maybe... I'm a little bit

17:55

bitter about it, but open AI,

17:58

even being called open AI, makes

18:00

me hate them more because

18:02

they didn't change their name

18:04

when they abandoned open source.

18:06

So they confuse people by

18:08

having that name and they

18:10

probably do it on purpose at this

18:12

point. But I am, I'm kind of

18:15

like a kid in a candy

18:17

store in the enjoyment of how

18:19

delicious that backlash for them is

18:21

because it's like, well, you know

18:23

what, open source just kicked you

18:25

in the teeth. Yeah, did. Yeah, leave

18:27

it to open source, AI to

18:30

be more cost effective, take

18:32

less energy to run, and

18:34

be more memory efficient. Whoo,

18:36

win win. Yeah, absolutely. You

18:38

know, it's interesting because the, when

18:41

I talk about the investors not

18:43

doing their research, when you

18:45

really look into Deep Seek, so

18:47

these were all the headlines that

18:50

were everywhere. It only cost

18:52

six million dollars to produce

18:54

the whole thing, like. That's

18:56

shocking if that's the case,

18:58

right? But if you just dig a little

19:00

deeper, you find out that that's

19:03

not really the case at all.

19:05

Like we know for sure it's

19:07

somewhere north of $500 million have

19:09

been invested since the start of

19:11

this company. Probably billions behind the

19:13

scenes that are, you know, not

19:15

having because China does things a

19:18

little different than the U.S. Things

19:20

don't necessarily... A little different. We're

19:22

not above board either, but we

19:24

pretend to be a little better

19:26

and they're, you know, they don't even

19:28

try to pretend, I think, in a lot

19:30

of cases. Yeah. But also, like, I think

19:33

there's reports saying that it's based a lot on

19:35

llama or... Because I mean so however

19:37

much money that meta put into that

19:39

is definitely going to should be applied

19:41

to how much money was required. This

19:43

is why again shareholders don't understand anything

19:46

is that it's like saying that you

19:48

when Ford you know was creating a car

19:50

and doing the research and development

19:52

to ever create the assembly line and

19:55

all of that type of stuff it

19:57

cost him a billion dollars of research

19:59

and development. And today, Toyota can

20:01

make a car for 23

20:04

grand. Like, there's no comparison

20:06

because you've, they've obviously, Deep

20:08

Sea, has utilized all of

20:11

the work that all these

20:13

companies have done. And I

20:15

can tell you that with

20:17

certainty, in my opinion, because

20:19

its responses are

20:21

darn near identical. You should

20:24

say it with a question mark.

20:26

I can say it with certainty.

20:28

I mean, I tested deep seek

20:30

out in all kinds of different

20:32

contexts. I mean, writing code,

20:35

you know, asking it general

20:37

questions, seeing where it's guardrails,

20:40

we're at, telling jokes, doing

20:42

show nodes. I tested all

20:45

kinds of different things. And

20:47

number one, it's super cool.

20:49

I think it's amazing. And I

20:52

love that it's open source. But

20:54

I see nothing that makes me go.

20:56

This is surpassed anything that exists

20:58

that's exist already. Its responses are

21:01

so similar that I can tell

21:03

it's got to be trained on

21:05

nearly the same identical data that

21:07

the other models were trained on.

21:09

And, you know, when you ask

21:11

it about things like, I think

21:13

one of the fears people had

21:15

is, hey, this means the Chinese

21:17

chip manufacturing is caught up with

21:20

the US, but the reality is you

21:22

find out that they in fact

21:24

utilized invidious GPUs, GPUs, and When

21:26

I asked Deep Seek itself,

21:28

I said, did you train on

21:30

invidia GPUs? It said, yes, we

21:32

had some H100s and some others,

21:35

which are the latest, you know,

21:37

some of the latest ones. But

21:39

it also mentioned that we may

21:41

have utilized things like AWS cloud

21:43

services and Google cloud services, which

21:45

allow us to access in video

21:48

hardware, It suggested that that may

21:50

be the case. So I like

21:52

how it said may do that.

21:54

We may have done may. Yeah.

21:56

If the investors just breathe

21:59

a little. may be having this

22:01

call may be recorded. It's always recorded.

22:03

May be recorded. So if they just

22:05

didn't freak out and just put a

22:08

little thought behind it, they'd be like,

22:10

hey, this is really cool. And competition

22:12

pushes innovation. And so, of course, I

22:15

want to see more amazing AI models

22:17

and things. And what do you think

22:19

ChatGPT and Gemini and all these people

22:22

were doing right now? They're freaking out

22:24

trying to figure out how to get

22:26

one of their. better models out to

22:29

surpass what's being done here because you

22:31

have to. And to me, that's always

22:33

a good thing. It's a terrible idea

22:36

in my mind that ChatGPT or any

22:38

other doopoly or triopoly of a company

22:40

will be completely in control of AI.

22:42

That scares me more than anything else

22:45

because these tools are incredibly powerful. They're

22:47

the iteration of like a digital army.

22:49

you know like digital warfare technology that

22:52

can be utilized from these things and

22:54

to have one single entity control all

22:56

of that is never good in human

22:59

society all through history when you've got

23:01

a concentration of power in one area

23:03

this is bad this would be like

23:06

the internet was controlled by a single

23:08

group that would be like the same

23:10

level or word yeah like there's this

23:13

is that's a good point I mean

23:15

I hadn't thought about that but I

23:17

definitely had the same fear of like

23:20

a couple even a few companies dominating

23:22

it in the sense of like because

23:24

that that stupid article we covered many

23:27

episodes ago have no idea when we

23:29

covered it that stupid article about the

23:31

dangers of open source AI and here's

23:34

here's we did find out that open

23:36

source AI is dangerous to terrible people

23:38

who make decisions on stock stuff like

23:41

that definitely it is dangerous for those

23:43

people so yes Yeah, we don't want

23:45

terrible people. I mean like terrible decision-makers.

23:48

Oh, yeah. Yeah, we don't want T1,000.

23:50

walking around. So that's what we had.

23:52

Unless it's open source too. Yes, that's

23:54

the thing. See, open source creates a

23:57

system of checks and balances. And with

23:59

open source we won't have T1,000. We'll

24:01

have T1,000. We'll have OS1,000. Yes, there

24:04

we go. We'll have T1,000. But they'll

24:06

run some arbitrary version of like Arch

24:08

Linux that requires tons of compiling and

24:11

things to make it do anything. And

24:13

so it won't be that dangerous after

24:15

all. Yeah. We'll have to ask them.

24:18

We'll see if they, what happens when

24:20

you RMRF and OS 1000? Oh yeah.

24:22

We can hopefully wish that they're all

24:25

running Linux from scratch? That would help.

24:27

That would make sure no one uses.

24:29

Yeah. So what was interesting when I

24:32

was doing, I was reading and doing

24:34

research, I noticed an interesting tweet or

24:36

an ex post. Not a tweet. It's

24:39

a tweet. It's still a tweet to

24:41

me. Yeah. So a tweet. I don't

24:43

care what the rename. I don't know.

24:46

I don't care. If those in the

24:48

audience like the X. You don't exist.

24:50

No one likes sex. Yeah, no one

24:53

likes sex. I don't have to worry

24:55

about offending you because no one likes

24:57

it. Oh no. Michael, there's somebody in

25:00

there who's sitting in their underwear eating

25:02

Cheetos going, oh I'm like, oh excuse

25:04

me, they're Cheetos, they're just, Cheetos went

25:06

everywhere, they're getting to the keyboard right

25:09

now. I think the only people who

25:11

are going to get comments, but they're

25:13

going to be in like a sarcastic

25:16

sarcastic, like, like, like, I like, I

25:18

like, like, I like, I like, I

25:20

like, I like, I like, I like,

25:23

I like, I like, I like, I

25:25

like, I like, I like, I like,

25:27

I like, I like, I like, I

25:30

like, I like, I like, I like,

25:32

I like, I like, I like, I

25:34

like, I like, I like, I like,

25:37

I like, I like, I like, I

25:39

like, I like, I like Yeah, because

25:41

it's like it's a tweeting is so

25:44

much better than Xing. I mean, tweeting

25:46

wasn't either, but it's better than Xing.

25:48

I'm gonna send you an X. Sweeting

25:51

at least made sense because it's like

25:53

what birds send out small signals and

25:55

the idea of like a tweet would

25:58

be like a small message and you

26:00

know, it kind of. make sense? It's

26:02

what kind of weird. Tweet, tweet, tweet,

26:05

tweet, tweet, tweet, tweet, tweet. How dare

26:07

you say that on air? That

26:09

is so offensive. Sorry Jill, go

26:11

ahead. Well anyways, back

26:13

to the tweet, Tech

26:16

Investor Mark Andresen actually

26:18

wrote on Twitter on

26:20

January 24th. Deep Seek

26:22

R1 is one of

26:24

the most amazing and

26:26

impressive breakthroughs I have

26:28

ever seen and as

26:30

open source a profound

26:32

gift to the world. I

26:34

just love that. Yes. Michael,

26:37

the fear with these things

26:39

is, is it really open

26:41

source? Is it really open

26:43

source? Well, I mean, the

26:45

answer to this is clear.

26:48

It's 100% kind of. All right, so,

26:50

you know, the, I think one of

26:52

the big things that made people freak

26:54

out to is that Berkeley, who has

26:56

a research tool that performs rating on

26:58

chatbot capabilities and it ranked this immediately

27:00

in the top 10 of chatbots in

27:02

there. In regards to open source, you

27:04

know, the term gets thrown out a

27:06

lot. So I tried to dig in

27:08

the best I could. I mean, Deep

27:10

Seek so new they barely had time

27:12

to put up information about their information

27:14

about their stuff. So I assume more

27:16

will come out on this, the source

27:18

code associated. with Deep Seek models,

27:20

the Deep Seek V2 and V3

27:22

is released under the MIT license.

27:25

However, they do have restrictions

27:27

on other models and require

27:29

customers to pay to connect

27:31

through their API. However, they're certainly

27:33

more open source than JetGPT, which

27:35

is zero. Which used to be,

27:37

you know, super open source. I

27:39

think it's amazing. I'm with you,

27:42

Michael. I am so not... a fan of

27:44

chat gPT because of the fact that

27:46

they took the work of the open

27:48

source community, then the moment there

27:50

was billions available to be made, closed

27:52

it down, kept that work, closed it

27:55

down, and then, you know, made this,

27:57

and then have done, I haven't seen

27:59

them. do anything that's made the

28:01

news anyways, open source sense. Like,

28:04

they might really open source at all.

28:06

But I don't think since since they

28:08

did like a code dump when they

28:10

did the transition, I don't think they've

28:13

done anything since that I've seen it

28:15

all. So they have. It's certainly not

28:17

notable enough that it's ever made any

28:19

news that I've seen in there. And

28:22

I would just like to give you

28:24

a reenactment of when I heard about

28:26

this and how it was hurting chat

28:28

GBTT and open AI. That's what Jesus

28:31

said. Very good reenactment. There is a

28:33

difference between their model license though and

28:35

their code license. The model license governs

28:37

the use distribution and modification of the

28:40

AI model itself, including its weight architecture

28:42

and the data used for training. The

28:44

code license applies to the source code

28:46

related to the models, including any software

28:49

libraries, tools, or scripts. This part have

28:51

V2 and V3 open source under MIT.

28:53

The other part is under far more

28:56

restrictive restrictive license. there so the model

28:58

has restrictions such as and these are

29:00

terrible restrictions it makes me really

29:02

upset prohibitions on the use of

29:05

military purposes so you can't

29:07

use it for military purposes I

29:09

mean oh darn fun in that

29:12

there goes the T1,000 yeah yeah

29:14

restrictions against generating

29:16

harmful content I mean again

29:18

but not there are you Yeah, how

29:20

dare you. And preventing the use

29:23

of the model to exploit vulnerability.

29:25

So you can't go use it

29:27

to hack and stuff like that out

29:29

there. These are, these are, these are, these

29:31

are, these are, these are unacceptable

29:34

and also good. Yes. Now, I will

29:36

say this, the problem with tools

29:38

like Deep Seek is that China

29:40

being the way its government is

29:43

run is extremely restrictive

29:45

of what information.

29:47

even historical events that it

29:49

will allow to have any AI

29:51

run against. So there are certain

29:54

events in history that I'm sure

29:56

just like in any other country

29:58

that China's not. proud of and

30:01

when people test those certain events

30:03

to see if they can get

30:05

information from the AI about them

30:07

it completely does not answer it

30:09

doesn't allow you to have that

30:11

says it can't help with those

30:13

it's very censored it's extremely censored

30:16

in fact and it's on guardrails

30:18

and it's only updated to October

30:20

2023 so it's not current so

30:22

when you play with it is

30:24

it impressive Totally Totally. I think

30:26

it's amazing. I love that it

30:28

has open source to it. I hope

30:31

Deep Seek doesn't do what

30:33

ChatGPT does and close itself

30:35

down now that it's gotten

30:37

all this popularity. At the

30:39

same time, is there anything

30:41

in this tool that's not

30:44

already been done before? No.

30:46

I mean, ChatGPT has far more

30:48

than source. I mean, well, if

30:50

we've got Mama, we've got lots

30:52

of open source. I think that

30:55

what they did was able to make

30:57

an open-source thing that is at least

30:59

on par with chat GPT. So I

31:01

think that in itself is cool. In parts.

31:04

Because it doesn't have voice

31:06

integration. So you can't go talk

31:08

to it. If you do a

31:10

chat GPT, you can sit there

31:12

and have a chat with it

31:14

and it's going to interact like

31:17

a human back with you. That's

31:19

a huge innovation leap. That took

31:21

a lot of technology to do.

31:23

It takes a lot of processing

31:25

to do. and Grock and others

31:27

are being integrated into call centers.

31:29

They're being integrated into workplaces to

31:32

as bots to handle people's issues

31:34

to resolve problems real time. And

31:36

that means that hallucination cannot exist. Right.

31:38

So these are these are very specialized

31:40

models that are built off of chat.

31:43

GPT that run through APIs for all

31:45

these corporations and things. And so from

31:47

those aspects, Deep Seek has none of

31:49

that. And so what it is is

31:52

a really good. large language model

31:54

that was trained on what

31:56

seems like very similar data

31:58

to other models. it's runs really

32:00

well but again to freak out and

32:03

act like it's the game over China

32:05

wins pull all your money out is

32:07

just I mean the idea like your

32:10

your rebuttal for what I said is

32:12

like is you've convinced me 100% but

32:14

like the idea that people were seeing

32:17

this and just instantly reacting like you

32:19

know the sky is falling type of

32:21

stuff yeah it's kind of hilarious in

32:24

a way in a way because If

32:26

you just take a moment and research,

32:28

which is to be fair, people taking

32:31

any moment to do any research these

32:33

days, is quite rare. So at least

32:35

we understand. It's tough with the internet

32:38

and the library in your hand. It's

32:40

really tough. No, no. So you don't

32:42

understand. We having easy access to the

32:45

information super highway. is remember it was

32:47

called that at one point. Yeah, sure

32:49

was. Yeah, see that was that was

32:51

great. But the problem is we don't

32:54

want to get in the car and

32:56

actually go on that super highway. We

32:58

just want it to be like kind

33:01

of like read the sign to get

33:03

on the on ramp and be like

33:05

that's enough. Yeah, I read the sign.

33:08

It's just like traveling on it. I

33:10

read the sign where it's like roughly

33:12

going around there. Yeah. Yeah. That means

33:15

headlines people. It's interesting because so I'm

33:17

you know I'm trying to take the

33:19

position of both I love that this

33:22

exists I think it's super exciting I

33:24

love that it's open source also stop

33:26

freaking out because it's not that exciting

33:29

it's not like they you know paved

33:31

new roads with this and I think

33:33

the claims that have been made about

33:35

The $7 million and all this ridiculous

33:38

stuff need to be thoroughly investigated and

33:40

have already been debunked. Yeah, there's been

33:42

people talking about how the amount of

33:45

information about the money has gone from

33:47

like 6 million or under 6 million

33:49

to 6 million than to 10 million

33:52

than to 20 million to 100 million

33:54

and probably billions. by the Chinese government,

33:56

behind the scenes. Yeah. And also all

33:59

the billions that were done by the

34:01

other stuff that it was using, for

34:03

sure. So like, it was a lot

34:06

of money that went into it. But

34:08

there's also another AI model that people

34:10

are not talking about. And actually, it's

34:13

nicknamed because it's like the presidential model.

34:15

And that's because it's called, it's like

34:17

based on llama. You've heard of O

34:19

llama, right? Oh. And that is... Rockalama!

34:22

Is that real good? No, it's not.

34:24

But it should be. Oh good, Michael.

34:26

That joke is stupid good. Rockalama. Oh

34:29

my gosh. Oh man. I'll be here

34:31

all... Well, I'll be here next week

34:33

too. Next week, too. Indeed. I won't

34:36

be here next week, though, so if

34:38

you hate everything I just said. You

34:40

don't have to hear me next week.

34:43

You will have victory. for one week

34:45

and he'll be back. For one week

34:47

and then I'll be back. Yeah. You

34:50

win the battle but I'll win the

34:52

war. So that's how this works. Exactly.

34:54

That's kind of our take right now.

34:57

Obviously Deep Seek's got a lot of

34:59

road ahead of it, a bright future.

35:01

There's a lot of things that can

35:04

come out over in the next few

35:06

weeks about this. One thing I want

35:08

to mention is like all these AI

35:10

models, the privacy policy is a big

35:13

deal here. What you put into AI

35:15

when you're going and testing and testing

35:17

this. has no you have no rights

35:20

to at all. It's assumed that it's

35:22

being read is now there. It's going

35:24

to be tied to you in every

35:27

form fashionable. They're going to buy more

35:29

data on you and tie that to

35:31

your thoughts and everything that you're putting

35:34

in there. So just assume you're typing

35:36

a public X, that everyone can see

35:38

and read with your actual full name

35:41

in it. And that's how you should

35:43

use AI because yes. By the way,

35:45

Deep Seek's no different in the chat,

35:48

GPT and the others this way. There

35:50

is no privacy expected or guaranteed and

35:52

people are reading this manual. light asterisks

35:54

to what you just said and that

35:57

is because you can technically not all

35:59

of it not everything you can technically

36:01

get the deep seek thing because it

36:04

is open source and you can run

36:06

it locally if you have powerful enough

36:08

computer which is cool because you don't

36:11

necessarily need the most powerful computer ever

36:13

in order to do it and so

36:15

in those cases there have been people

36:18

testing to say that some of a

36:20

lot of the restrictions are taken off

36:22

not everything but like the stuff that's

36:25

information related in terms of like historical

36:27

events that stuff is those restrictions are

36:29

removed so you the local versions you

36:32

could do and you could argue that

36:34

they're not going anywhere because you control

36:36

where it's going if as long as

36:38

the code doesn't have some kind of

36:41

you know phone home thing or whatever

36:43

but We don't I don't know if

36:45

it is because I'm not sure if

36:48

anybody's actually done an audit of it,

36:50

but if it's if not and you

36:52

have it locally you could argue that

36:55

you have that benefit, but if you're

36:57

using the one that's online in the

36:59

like API and whatever, then just know

37:02

it's not any better. They're all taking

37:04

your data and even if you put

37:06

it in the public and not on

37:09

the chat system, they're still probably trying

37:11

to take your data. Yeah, exactly. That's

37:13

the best way to look to look

37:16

at this. And so, you know, there's

37:18

obviously the governments can't get along five

37:20

by five sandbox one shovel. And so

37:23

you got to deal with that aspect

37:25

as well that that stuff could be

37:27

used by either government nefariously. And so

37:29

you've got to keep that type of

37:32

stuff in mind as well. So and

37:34

sometimes it feels like a litter box

37:36

and not a sandbox. Yeah, we'll use

37:39

a litter box. More like a litter

37:41

box for sure. All right. So happy

37:43

news, Joe. I want some happy news.

37:46

I mean, this was happy news too.

37:48

But, uh, pebble watch. Do you remember

37:50

the pebble smartwatch? Oh, absolutely. In fact,

37:53

I had one. And she did, Joe.

37:55

Yeah. I had one because they were

37:57

that that year, I went. to see

38:00

yes and they were showing them off.

38:02

And I bought one. Oh yeah, you went

38:04

to see yes, that's right. Yeah. So

38:06

that was cool but unfortunately that's one

38:08

of the few, one of the few

38:11

tech in my collection that kind of

38:13

got destroyed because it got wet in

38:15

rain and I forgot and I was

38:18

wearing it and then we had a

38:20

thunderstorm and it ruined it. That's a

38:22

bummer. Yeah. So I need to get

38:25

another one off. It was a

38:27

really good looking watch. Like for

38:29

at the time it was released,

38:31

does anybody remember like about the

38:33

year that that came out? 2012?

38:35

2012? Somewhere around there? That sounds

38:38

about right. I think it was

38:40

also like the first one that

38:42

was like a smartwatch that actually

38:45

was good. Yeah, it had the

38:47

whole package. It was had really

38:49

good battery life. It was kind

38:51

of the first time using e-ink

38:53

on a commercial level. It was

38:56

2013. Yeah, 20, okay, 23rd was

38:58

close. Very close. Yeah. And

39:00

it had really good,

39:02

it was functionally really

39:05

great because it was

39:07

smart, but not too

39:09

smart. So it wasn't like, you

39:11

know, an Apple watch or a

39:13

Samsung watch where there were too

39:15

many bells and whistles built into

39:17

it. It was just very simple.

39:20

It had your watch faces, you

39:22

could keep track of your footsteps.

39:24

It was very simple and well-designed.

39:26

I would argue it looks better

39:28

than some of the watches. today. Yeah,

39:30

exactly. I think so too. It was a

39:33

very good-looking watch. It had some

39:35

cool features for the time. Again,

39:37

keep in mind when it was

39:39

released, but it had, I think

39:41

it used an arm processor. At

39:43

least one of the iterations did

39:45

Bluetooth connectivity. Very fitting for

39:47

a watch. Yeah. Three-axis accelerometer,

39:50

gesture detection. Yeah. Yeah, yeah, yeah.

39:52

And then an ambient light sensor as well.

39:54

So it had some pretty cool features in

39:56

there. Not all the health stuff that we

39:59

have today though. a pathometer, I believe,

40:01

and I don't think it had heart

40:03

rate detection either. It didn't have

40:05

any of that type of stuff. But, you

40:07

know, think of the year that this thing

40:09

came out. Yeah. Oh, and so

40:11

many people loved it because the

40:13

notifications were really well. They worked

40:15

really good with the phone, the

40:17

smartphones. So that was, that was a

40:20

thing. Well, you know, it's a shock

40:22

that it went away, because Google bought

40:24

the company and Google's known for never

40:26

getting rid of great things that it

40:28

that it produces. It's what they're

40:30

known for. No, they're not

40:32

known for that. Interesting. So

40:34

here's the thing. I feel like

40:37

it's actually a little more than

40:39

that because the Google did buy

40:41

it, but didn't didn't fit bit

40:44

discontinue pebble? Yeah, bit

40:46

bought it first and then Google

40:48

bought it and then Google bought

40:50

fit bit. But who

40:52

actually discontinued pebble? Was it

40:55

Google or was it fit bit? Who

40:57

knows? I mean, that's what that's

40:59

the only that one's questioning. Is

41:02

this like that game? What is

41:04

it? 12 layers to 12 layers?

41:06

No, it's six degrees of

41:08

Kevin Bacon. Yeah, who? I mean,

41:10

I know it first. Well, I know

41:12

Fitbit utilized a lot

41:14

of the technology from I

41:17

think that's what I did. They

41:19

just took everything and put it

41:21

into Fitbit. I think that's what

41:24

they did. I can't guarantee that

41:26

because it's been many years, but

41:28

I have a feeling. We should

41:30

use it if I could find out

41:32

maybe. We should open up Deep Sea

41:34

and find out see what it

41:36

says. Yeah. So there's good news. If

41:39

you were a fan of the pebble

41:41

as well, Google did make a really

41:43

good decision here to open source. Yeah.

41:46

The pebble OS. So that's cool. That

41:48

means that there's a whole community out there

41:50

by the way that are keeping these watches

41:52

alive That's one of the things I love

41:55

about open source community these companies come out

41:57

they create a really cool product the other

41:59

get bought out out or they don't innovate

42:01

and they go away, but then you still

42:03

have this product you spent a lot of

42:06

money on and or that you you know

42:08

became a huge fan of and now if

42:10

it has web services and other things which

42:12

the pebble watch did they're dead unless

42:14

the hackers come in and fix that

42:16

for you and that's what a few

42:19

of these movements do to keep these

42:21

things alive and so there's a whole

42:23

thriving community of people out there utilizing

42:25

these peble watches and they were I

42:28

think it's called repel. Yeah, where I

42:30

call it rebel. Yeah, a rebel, yeah,

42:32

there that allows you to still take

42:34

the functionality of this watch and keep

42:36

it alive for any of the web,

42:38

not all of the web services are

42:41

available, as I was reading through their

42:43

page. It looked like they have some

42:45

of the core, all the core ones,

42:47

though, that the pebble originally had working

42:49

there with the rebel project. So I

42:51

think it's super cool. And now with

42:53

this. with the code being released, they

42:56

can actually probably turn on all of

42:58

those features that they wanted that worked

43:00

back in the day because they have

43:02

the code to generate that, which is

43:04

super cool. I mean, I'm not going to

43:06

go get one, and be honest, like I

43:09

love my Garmin watch, but if I had

43:11

a pebble, I would think this is really

43:13

cool. And if they make a new version that's

43:15

like, you know, I don't know if

43:17

the name pebble can be used, it's

43:19

probably owned by Google at this point,

43:22

but like... if they make a new

43:24

watch and there's a modified updated version

43:26

of the OS and then that could

43:28

be cool or if like they could

43:30

take it and then like all the

43:33

work for like the like the the

43:35

pine time for example and all that

43:37

work could be you know put into

43:39

it because it's open source and all

43:41

that I think that would be great

43:44

and I have a suggestion for

43:46

the new name for that watch instead

43:48

of pebble we'll call it gravel.

43:51

I got a better one for

43:53

you. Applestone would work. Raspberry Pie

43:55

Foundation comes out with a watch

43:58

and they call it fruity.

44:00

pebble there we go that's perfect

44:02

that's good Ryan that's good

44:04

see that's that's that's great

44:07

but there's there's there's there's

44:09

two trademark things to deal

44:11

with in that case true but it's

44:14

a genius name it's a great name

44:16

is it's a tell me you would

44:18

not own a fruity pebble if I would

44:20

go out and buy one right now

44:22

yes it's powered by raspberry pie chip

44:24

I mean it's powered by dad jokes

44:26

too that has to be an app

44:29

Yeah, raspberry pie foundation, we released this

44:31

to you with no cost to us

44:33

that idea. As long as you send

44:35

us, number one, all of us get

44:37

a free, fruity pebble. And number two,

44:39

you program an app that tells

44:41

dad jokes in the OS. That would

44:43

be great. And I also just realized

44:46

that technically speaking, I should make a

44:48

t-shirt for this because I'm powered by

44:50

dad jokes. Yeah, it's a good one. Oh,

44:53

I like that shirt. That would be

44:55

a good shirt. I'm powered by dad

44:57

jokes. I like it. Speaking of fruit,

44:59

Michael, you know that company

45:01

out there? Oh, they make bones

45:03

and stuff, I think. Bones, laptops

45:06

and tablets and like own ridiculous

45:08

amounts of money. They have lots

45:10

of money. Yeah, you're talking about

45:13

the, are you doing the one

45:15

that's Macintosh or are you

45:18

talking about Fuji apples? Fuji

45:20

apples of course those are delicious

45:22

by the way those are delicious

45:24

those are the best. So Apple

45:27

is being forced to open its

45:29

gate to the garden the European

45:31

Union is pushing Apple to make

45:33

its iOS features including air drop

45:36

and airplay more interoperable with other

45:38

platforms like Android. and the document

45:40

released by the EU outlines several

45:42

changes they want Apple to implement

45:45

to ensure effective interoperability with third-party

45:47

devices including airdrop Apple must provide

45:49

a protocol specification for

45:51

third parties to allow file sharing

45:53

between the devices and then airplay

45:55

they want to enable obviously the

45:57

airplay receive be able to receive

45:59

the files and things like that

46:01

or be able to receive the

46:04

casts I guess from your phone

46:06

so you can airplay on different

46:08

devices and then other features proposal

46:10

covering iOS notifications working with third-party

46:13

smart watches so that other companies

46:15

like fruity pebble can get the

46:17

have that integration with Apple as

46:19

well as Android when they do

46:22

that. So here's my take on

46:24

this. EU is actually making Apple

46:26

a better company and Apple doesn't

46:28

realize it. Like when I think of

46:30

USBC as an example, they use forcing Apple

46:33

to go to USBC, made Apple, better

46:35

product. It's a better product now because

46:37

I don't have to have stupid lightning

46:40

cables plus USBC cables plus all this

46:42

waste, you know, of different wires and

46:44

things. And then we know the lightning

46:47

cables break off inside iPads all the

46:49

time. That's the number one repair I

46:51

do for family members, by the way,

46:53

is pull out the lightning, broken piece

46:56

of lightning port out of the charging

46:58

of an iPad, because the things always

47:00

snap, they just break. It was a

47:02

cool design, it allowed fast charging, but

47:05

it was outdated when USBC came, you

47:07

know, got to... And they were very

47:09

quick at the same, they were like

47:11

roughly around the same time, I think.

47:13

Roughly, lightning was first, I'm pretty sure

47:15

it was out there. But like at

47:17

least it was marketed better if it

47:19

wasn't. But it's also kind of funny

47:22

because you're saying that they're making them

47:24

a better company with that. I feel

47:26

like they know it, but they're like,

47:28

it's more like when you are taking

47:30

a dog to the vet. They don't like

47:32

it. They're gonna fight, but it's good for

47:35

them. That's a great analogy, man. That's a

47:37

great analogy. Apple is so stubborn with this

47:39

stuff, but it's really anti-competitive. Like nobody else,

47:42

like Garmin, for instance. you know can't have

47:44

access to make their watch as functional as

47:46

it could be because Apple wants to keep

47:48

that stuff closed down. And of course they're

47:51

always going to say it's for security and

47:53

all the other stuff. Well then how do

47:55

you do it on your own watch? Dummies.

47:58

So you know you've got to allow. You've

48:00

got to allow companies to get in

48:02

there and also eat. Let somebody else

48:04

to the dinner table and eat apple.

48:06

Like you don't have to hoard all

48:08

the food yourself. Let some other companies

48:10

eat, you know, let us have some

48:13

food. We're not saying we want a

48:15

part of the apple. We just want

48:17

to be a part of the orchard. There

48:19

you go. Let us in the orchard. Oh,

48:21

Ryan, I fully agree with you,

48:23

actually. And as an Android user,

48:25

it would actually be so convenient

48:27

to partake in the original. Applewald

48:30

Garden of sharing data and

48:32

casting data? Especially on my

48:35

Applewald Garden. It'd be the Apple

48:37

Garden. Our Apple Garden, yes.

48:39

There we go. So especially on

48:42

my smart TVs that almost always

48:44

have airplay built in for casting

48:46

and it is annoying having to

48:49

sometimes use third party apps to

48:51

achieve this on Android to cast

48:54

a certain manufacturers

48:56

of TV Samsung. Yes. And also

48:58

Samsung, you're terrible at so

49:00

many things. But the other

49:02

thing is, there's Apple car

49:04

play. In my opinion, you're

49:06

terrible, yes. But the fact

49:09

that they got called having

49:11

microphones on your TV, you don't

49:13

need that. But the car play stuff,

49:16

like I've used the Android version

49:18

and I've used the Apple versions

49:21

for the car stuff and the Apple

49:23

ones, it's better. Yeah. Like, I

49:25

don't know why Android can't even

49:27

like, like, it's so annoying to

49:29

use the Android one, and the

49:32

Apple one is just like, it's,

49:34

it works smoothly, and you can

49:36

even do it like wirelessly hooking

49:38

up and stuff, like, anyway, so

49:40

I think Apple makes a lot

49:42

of cool products, they have a lot

49:45

of good stuff, but also they're

49:47

terrible, so in my opinion. So

49:49

I think the EU is, just them

49:51

doing this, let me show you my

49:53

reaction. When I'll reenact it. Reenact it. When, uh,

49:56

here we go. Another reason. For, for, you

49:58

gotta watch the video version of this show.

50:00

for Michael's reenactments. Yeah,

50:02

exactly. You don't want

50:04

to miss this. This is when

50:06

I heard the news that EU

50:09

is forcing Apple again to do

50:11

something that they shouldn't have

50:13

already done years ago. Wow,

50:15

it's very similar to your reaction

50:18

of chat GPT. I mean, yeah,

50:20

it's interesting. It's, it

50:22

had the same feeling. Now I

50:24

just picture you in your house

50:27

all day reading headlines going. Yeah,

50:29

but not just that, but doing

50:31

it to a camera. Yeah, okay,

50:33

good, good, good. That's not on

50:36

apparently. You look at the market

50:38

share, you know, generally you want

50:40

to say, hey, companies are free

50:42

to do what they want. It's

50:44

their products, they innovate, blah,

50:46

blah, blah, but there are monopoly

50:49

laws for a reason. And so

50:51

when you look at Apple's share.

50:53

You know, they have a 28%

50:55

of the global smartphone market share.

50:57

Guess who owns the rest of

50:59

that, like nearly all of it

51:02

is Android. So you've got a

51:04

duopoly, right? Yeah. In the

51:06

United States, however, it's not

51:08

necessarily like Android

51:10

because Google doesn't have them

51:13

as most phone sold. That's

51:15

Samsung. So like, I think

51:17

they have like a little bit of

51:19

an out there. But it's

51:21

utilizing Android. It's all Android.

51:23

And Apple has a significant lead

51:25

in the market share in the

51:27

US of 57%. So globally, 28%.

51:29

But in the US, they darn

51:31

near dominate the entire market. I

51:34

mean, 57% of the entire smartphone

51:36

market is huge, like, because everyone

51:38

has a smartphone. Like, everyone. And

51:40

some of us have many. Yeah. Now,

51:42

now when you have a newborn, the hospital

51:44

gives you a smartphone for the newborn. Like,

51:47

it's just, you get one right out of

51:49

the womb right out of the womb. No,

51:51

you know, you have and actually the you

51:54

have you have to have so many decisions

51:56

when you have a kid yet to name

51:58

the kid and pick which. you want iPhone

52:00

or Android? So hard. So hard. Well,

52:03

yeah, I mean, the naming the kid

52:05

is actually second to picking the phone.

52:07

Of course, yeah, yeah. You know, do

52:09

you want a kid walking around with

52:11

an Android or you want a kid

52:14

walking around with Apple? That is

52:16

a tough decision. Their future, you

52:18

know, you're basically, you're forcing

52:20

them to have this particular device

52:23

until they're at least four, you

52:25

know. Eligible for the next upgrade.

52:27

Yeah, so they love their closed

52:29

garden. It obviously gives them a competitive

52:32

advantage. And, you know, normally I

52:34

would be like, hey, they're allowed to

52:36

do that. But when you cut off

52:38

all competition from being able to compete

52:41

with you at all, and you have

52:43

a monopoly or duopoly, then, you know,

52:45

that's where governments come in to break

52:47

that kind of stuff up. And I

52:49

think that's kind of what's happening here,

52:52

is they're being forced to open that

52:54

garden because. they are so dominant and

52:56

they're dominant because they made a lot

52:58

of great decisions with hardware let's be

53:00

honest like they they you know so

53:02

many people to this day will sit

53:05

there and argue with me that

53:07

people don't care about privacy but

53:09

you know who cared about privacy

53:11

enough to actually trumpet it and

53:13

I'm not saying they actually you know

53:15

are the best in privacy because they're

53:18

far from it they spent at least

53:20

hundreds of millions if not a

53:22

billion dollars on ads and newspapers,

53:24

billboards, TV advertising, talking about the

53:26

fact that we're more private than

53:29

Android. And so if you think

53:31

people don't care about privacy, I

53:33

would say yes they care about

53:35

convenience more, but privacy is up

53:37

there and Apple's marketers knew it and they

53:39

capitalized on it. And if you ask anyone

53:42

on the street which one's more secure. they're

53:44

going to tell you Apple, even if they're

53:46

not a big technology person, because Apple spent

53:48

a ton of money getting that message out.

53:51

So it doesn't. And it's also not even

53:53

about like, you know, there's the argument of

53:55

like, some people would say the terrible take

53:57

of like, I have nothing to hide, blah, blah.

54:00

that there's people who are like

54:02

that would still choose an Apple device

54:04

because they get they get the

54:06

privacy on top of like they

54:08

would still want privacy if there

54:10

if the convenience is not lost

54:12

like it's it's more of like the fact

54:14

that if you if you're saying that

54:16

I have to do all this work

54:18

to get privacy then never mine but

54:20

once as long as you get both

54:22

sides that they're gonna always choose

54:24

to the the the lesser evil which

54:27

is having at least some privacy. Well,

54:29

Jill, that's not the only fruit in

54:31

our show. We got more fruit to

54:33

talk about, don't we? We sure

54:36

do. And speaking at apples, have

54:38

you ever wondered what would happen

54:40

if an apple became sentient?

54:43

Like a T1,000. I'm not eating

54:45

one. With AI. Every time I'm eating

54:47

one, I'm like, what if this

54:49

apple was sentient and knew I

54:51

was eating it? And then my

54:53

cannibal? It's not the same

54:55

species that's alive. You're not

54:57

an apple, so it's it's

54:59

fine. Oh, no. You know, yeah, an apple's

55:02

alive, just like a carrot.

55:04

You wouldn't be vegan at

55:06

that point, but you know, like,

55:08

uh, so. And also with

55:10

that count, but I'm not

55:13

accountable, but I'm not vegan.

55:15

Would that count as like,

55:17

not vegetarian or not vegetarian?

55:19

Maybe it isn't? You said earlier

55:21

you've never thought about. What

55:23

if an apple became sentient?

55:26

Have you really ever thought

55:28

about that? I can happily

55:30

and gladly tell you no. I've

55:32

never- That is shocking. What

55:35

about bananas? Yeah? Well, naturally,

55:37

because, you know, peanut butter,

55:39

jelly time. peanut butter, jelly

55:42

time. Okay. All right, good.

55:44

All right, Jill, continue. Well,

55:46

if apples became sentient, what

55:48

would it have? Would apples

55:51

get along with? Bananas?

55:53

Form of locomotion.

55:55

Well you may not get

55:58

all those answers. to

56:00

your burning questions, but you

56:02

cannot let us play this game

56:05

and experience what it's like

56:07

to be both Apple and

56:10

Man. So our game this

56:12

week is Apple Man. The

56:14

game on steam describes itself

56:17

like this. Apple Man is

56:19

no ordinary fruit. Due to

56:21

a mysterious force beyond anyone's

56:24

comprehension, he has been blessed

56:26

with two unbreakable legs. Yes,

56:28

thus the locomotion joke earlier.

56:31

He's been blessed with two

56:33

unbreakable legs and a myriad

56:35

of special abilities. With his

56:38

newfound power, he is absolutely

56:40

determined to accomplish his lifelong

56:42

dream of reaching to the

56:45

sky. His lifelong drink of

56:47

like two days. So Appleman

56:49

is actually a really fun

56:51

romp of a 2D physics

56:54

driven platformer and it's only

56:56

499 on steam. So don't

56:58

give it a try. It's

57:00

really a fun game. A

57:02

mysterious force beyond anyone's comprehension.

57:05

Is it a man that

57:07

became an apple? Or as

57:09

an apple, because it was

57:11

bitten by a radioactive apple.

57:14

Or is it an apple

57:16

that became a man because

57:18

it was bitten by a

57:20

radioactive man? Then 4.99 and

57:23

find out, Michael, you know? It's

57:25

an apple with Frigili, legs.

57:27

Yeah, Frigili, Frigili, Jill,

57:29

your dad jokes need help.

57:31

Like they are... Hey! They're so...

57:34

Like, Michael's from the

57:36

Christmas story. Why are you

57:38

being so cold? You're basically

57:40

acting like a freezer right

57:42

now. This is unbelievable. So

57:44

look, I know a lot

57:47

of you out there have

57:49

the same burning questions we

57:51

do about apples becoming

57:53

sentient. And so 49

57:56

is a small. You put it in

57:58

the fridge. Yeah. Oh my gosh. off his

58:00

mic remotely is that like the thing?

58:02

You know, luckily it's powered by a

58:05

mixer so only I have control. If

58:07

I had ability to have a sentient apple

58:09

I would send it over there to turn

58:11

off your mic as well. I would

58:13

be very terrified and let it.

58:16

Yeah, you'd be scared of a little

58:18

Apple man. Really? Unbreakable legs? What if

58:20

it tried to kick me? Yeah, that's

58:23

true. It would try

58:25

to kick you. But

58:27

its head's not unbreakable.

58:30

It's just legs are

58:33

unbreakable. You just

58:35

smash. Oh, that's true.

58:37

That's true. Okay, fair

58:39

enough. Yeah, yeah. Makes

58:41

some apples. As you

58:43

all know, I have

58:45

a lot of nicknames

58:47

for Michael, most of which

58:49

I can't say on here.

58:51

Ryan, we're all on this show,

58:54

so we're all technically eggheads. So

58:56

it's funny because people would,

58:58

you might think that Ryan is,

59:00

that saying this is like, oh,

59:02

because this is a joke and

59:04

he never actually called me that,

59:06

he has. Yes. Yes. All right, so

59:08

it also happens to be our

59:11

software spotlight this week of egghead.

59:13

Egghead is a trivia app, Michael,

59:15

that lets you learn and have

59:18

fun at the same time. Well, I

59:20

mean, obviously I would play this

59:22

and I would get everything right

59:24

automatically. Yeah, because you are an

59:26

egghead. It has tons of categories

59:28

like history, science, geography, sports, art,

59:30

celebrities, Santee and apples. Celebrities, guarantees,

59:32

guarantees, guarantees, I get stuff wrong.

59:34

Yeah, I don't think I would

59:36

do very well in that category

59:38

either. It has ability to download

59:40

quiz, save downloaded quizzes, delete, save

59:42

quizzes, switch to Dark Lider, or

59:44

system mode. And to me, if

59:46

that doesn't have that. Having the

59:48

dark vote in there. Oh, it's cool.

59:50

You know, it's just I think

59:53

we need to now this is

59:55

a perfect app that we can

59:57

do a live stream challenge

59:59

of Like who can get the most

1:00:01

answers of this quiz? And I have

1:00:04

AI open because I'm not getting it.

1:00:06

You cannot. Yeah. I don't think it

1:00:08

will help you anyway because it's probably

1:00:10

timed and if it isn't I'll add a

1:00:13

timer anyway. Ryan you could put it on

1:00:15

easy mode and that would that could

1:00:17

help a lot. Yeah. I need really

1:00:19

on super expert hardcore awesome mode. I

1:00:22

mean even things like who was the

1:00:24

first US president don't ask me stuff

1:00:26

like that. No clue. Like Bob's your

1:00:28

uncle. Yes. There you go. And

1:00:31

it's another, that's just, if

1:00:33

you didn't know, that's

1:00:35

what George Washington's nickname

1:00:37

was Bob, and he was

1:00:40

somebody's on. Yes. We're so,

1:00:42

we're so bad with this type

1:00:44

of data, it's unbelievable. All right.

1:00:47

Where at least it is right

1:00:49

now. The point is that it's

1:00:51

far better to spend your

1:00:54

time with an app like

1:00:56

this where you're learning something

1:00:58

rather than doom-scrolling posts on

1:01:01

social media. That's true. Fill

1:01:03

your brain instead of killing

1:01:05

it with politics. That's how

1:01:07

I feel anyways. Fill your

1:01:10

brain. Mm-hmm. Joe, give us a tip

1:01:12

of the week. Which got? Oh, cool.

1:01:14

So last week we talked about

1:01:16

the awesome end map in the map.

1:01:19

So this week, check

1:01:21

out a tool called

1:01:24

Linus. And it's not,

1:01:26

as in Linus, L-I-N-U-S,

1:01:28

it's L-Y-N-I-S. Linus is

1:01:30

a powerful command line

1:01:32

tool for auditing, system

1:01:34

hardening, and compliance testing.

1:01:36

And it works on

1:01:38

systems running. Linux, Mac-O-S,

1:01:40

or a Unix-based operating

1:01:42

system like BSD. It

1:01:44

performs an extensive health

1:01:46

scan of your systems

1:01:49

to support system heartening and

1:01:51

compliance testing. And the Linus

1:01:53

project is actually open source

1:01:56

software with a GPL license.

1:01:58

Something we love to. here and

1:02:00

has been available since 2007.

1:02:02

And there's so many use cases

1:02:05

for Linus. Developers can use

1:02:07

Linus to test docor images

1:02:10

or improve the hardening of

1:02:12

their deployed web application. System

1:02:14

administrators can use Linus to

1:02:17

run daily health scans to

1:02:19

discover new weaknesses. IT auditors

1:02:21

can use it to show

1:02:23

colleagues or clients what can

1:02:25

be done to improve security,

1:02:27

and penetration testers can use

1:02:29

it to discover security weaknesses

1:02:32

on systems of their clients that

1:02:34

may eventually result in system

1:02:36

compromise. This is actually a really

1:02:39

cool tool that you can have fun with,

1:02:41

even if you're none of the above. So,

1:02:43

you know, make sure to check this one

1:02:45

out and see how you can harden your

1:02:47

system. And it's conveniently available

1:02:50

to install in your

1:02:52

digital software repository.

1:02:54

You know what's really cool about

1:02:56

this, Jill, is I didn't know

1:02:58

this existed in my cyber security

1:03:00

course that I'm taking in college

1:03:02

for cyber security. And this came

1:03:04

up. This was one of the

1:03:06

tools that I had to utilize

1:03:08

in a virtual machine when looking

1:03:10

for compromise. Ryan, this tool has

1:03:12

been around since 2007. And you have

1:03:14

not heard, let me tell you what I

1:03:17

heard of it. I heard of it. I

1:03:19

heard of it when we covered it

1:03:21

on this show. Just now? Just

1:03:23

now. I've known about it because

1:03:25

of my students, you know, that

1:03:28

we're going into penetration testing and

1:03:30

whatnot. So it's really good, like really

1:03:32

good. So when you run this tool,

1:03:34

it gives you a report on. all

1:03:37

the elements of your system. It's looking

1:03:39

at user groups, it's looking at the

1:03:41

file system setups, it's looking for known

1:03:43

vulnerabilities, it's going to tell you things

1:03:46

that you need to patch, that are

1:03:48

unpatched, it's going to go through your

1:03:50

whole system and do a hardening test

1:03:52

on it. When you talk about hardening,

1:03:54

like people who are raving into IT

1:03:57

and things, a lot of times if

1:03:59

you're traveling, internationally, your company will require

1:04:01

you to get your laptop hardened.

1:04:03

And one of the things that they

1:04:06

do, of course, there's multiple steps

1:04:08

to that, one of the things is

1:04:10

making sure that all the counts are

1:04:12

locked down, that your bios, for instance,

1:04:15

is locked, so people can't get

1:04:17

into that, all kinds of different things.

1:04:19

But running this type of hardening test

1:04:21

is just one of the many methods

1:04:24

you could see where there might be

1:04:26

a possible vulnerability on your system.

1:04:28

Really. playing with some of these

1:04:30

tools because with AI being as

1:04:32

powerful it is, you're going to

1:04:34

need them. Trust me, you're gonna

1:04:36

need tools like this because AI

1:04:39

is going to rock our world

1:04:41

when it comes to security issues

1:04:43

and vulnerabilities and everything else because,

1:04:45

you know, it just allows people

1:04:48

to quickly find and create zero

1:04:50

day vulnerabilities on top of everything

1:04:52

else. Yeah, it's probably gonna rock

1:04:55

your world. It might peble your world

1:04:57

too. Man, Michael, no more dad

1:04:59

jokes for the rest of the

1:05:01

show, okay? Oh, good thing. We're

1:05:03

almost done with the show. We

1:05:05

are done with the show. A

1:05:07

big thank you to each and

1:05:09

every one of you for supporting

1:05:11

us by watching or listening to

1:05:13

Destination Linux. However, you do it.

1:05:15

We love your faces. You can

1:05:17

come join us on our discord.com/Discord.

1:05:19

Stop. I know some of you

1:05:21

have heard this a hundred thousand

1:05:23

times. Stop playing the episode right

1:05:25

now. No, you listen. Yeah. Okay. I

1:05:27

have an update related for

1:05:29

details, so you better listen.

1:05:32

And that update is that

1:05:34

apparently Fitbit didn't kill Peble.

1:05:37

Peble itself just collapsed

1:05:39

and went into insolvency, and

1:05:41

they filed for that, and

1:05:43

then Fitbit acquired it because

1:05:45

of that, and they got

1:05:47

other assets. Sorry for being

1:05:49

this jerk earlier, Fitbit and

1:05:51

Google. My bad. Yeah. So thanks

1:05:54

to Michael A. As in me,

1:05:56

I looked it up. And... That's

1:05:58

the information. So we now know

1:06:00

the information and also it

1:06:02

there's a comment about the

1:06:04

person who founded Pepple and

1:06:06

say I'm gonna thanks for

1:06:09

Google for doing this and I'm

1:06:11

like well you could have just

1:06:14

done it yourself before the

1:06:16

company anyway but that's good

1:06:18

so now we know Google

1:06:20

is at least in this particular

1:06:23

this one avenue is doing

1:06:25

a good thing yeah good job Google

1:06:27

good job Google And if you

1:06:29

want to give a mini-clap to us,

1:06:32

you can support the show by becoming

1:06:34

a patron and going to tuxigil.com/membership. and

1:06:36

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1:06:39

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1:06:41

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1:06:43

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1:06:48

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1:06:55

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1:07:00

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1:07:02

if you'd like to get another

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special clap that you can go

1:07:06

to tuxegel.com/store and get all of

1:07:09

the awesome. No we go. I held it

1:07:11

all up early this time Michael. Yes

1:07:13

you did. And just for note, most

1:07:15

of the time when Ryan holds up

1:07:17

stuff, it's not in the store. And,

1:07:19

uh, but you can, there's a lot

1:07:21

of stuff that's in the store, like

1:07:23

the shirt that Jill is wearing and

1:07:25

the shirt that I'm wearing and nothing

1:07:28

that Ryan ever is wearing. And it's

1:07:30

huxdigital.com/store. You get a bunch of cool

1:07:32

stuff like shirts, mugs, hoodies, and hats

1:07:34

and so much more. tuxdigital.com/store. Nips

1:07:36

for your stylus? No, not really.

1:07:39

No. They're called, they're called nibs.

1:07:41

They're called nibs. They're called nibs.

1:07:43

I never knew. I never knew. I never knew. Yeah.

1:07:45

Like I was like, what is, I don't know

1:07:47

what this is called, but okay, the thing at

1:07:50

the end of a stylus, nibs apparently. And make

1:07:52

sure to check out all the amazing

1:07:54

shows here on Texas. That's right, we

1:07:56

have an entire network of shows to

1:07:58

fill your whole week with geek. goodness.

1:08:00

Head to text digital.com

1:08:02

to keep those Linux

1:08:05

penguins marching. Everybody

1:08:07

have a wonderful week

1:08:09

and remember that the

1:08:11

journey itself is just

1:08:13

as important as the

1:08:15

destination. Right people. We'll see

1:08:18

you next week except for

1:08:20

Ryan. I won't see you.

1:08:22

Spazzy spazzy in chat. Spazzy

1:08:25

C says clap clap clap

1:08:27

clap clap clap clap. Did

1:08:29

he say clap clap clap

1:08:32

clap clap clap clap clap

1:08:34

clap? Joe. He typed it.

1:08:36

I'm sorry. Yes. No voice

1:08:38

there. Come on. So technically

1:08:41

he's saying it in chat

1:08:43

because that's a courteousness

1:08:46

of us recording the

1:08:48

show. Yes. Okay. Absolutely.

1:08:51

Yeah. It was such a

1:08:53

good show that the fruit

1:08:55

that was throughout this show.

1:08:57

Whoever writes this show. There

1:08:59

we go. Please continue,

1:09:02

continue, please. Oh, please. I

1:09:04

mean, you don't have to,

1:09:06

but more, more, please. No,

1:09:09

that was a great job.

1:09:11

I love the theme. It was

1:09:13

a lot of fun. It was

1:09:15

fun. Yeah. Was fun. So yeah,

1:09:17

that's it. Go away now.

1:09:20

Bye. Bye. Bye. We'll see it.

1:09:22

We'll see you next week. Jill

1:09:25

and I will see you next

1:09:27

week.