0:02

This is Kota Radio, episode 573 for June 4th, 2024. Hey

0:15

friend, welcome in to Jupiter Broadcasting's weekly talk show.

0:18

Taking a pragmatic look at the art

0:20

and the business of software development and

0:22

the world of technology. My

0:24

name is Chris and joining us with

0:27

multiple beverages, he's ready to go. Hello,

0:29

it's our host, Mr. Dominic. Hello, Mike.

0:32

Misa been coding. Oh really, have you been

0:34

busy? You've been really busy. Misa have new

0:36

double-sided MacBook. Yeah,

0:39

I saw your AI. So are you telling me, even

0:42

when we're not doing the show, you're like doing AI art

0:45

of Jar Jar? Is that what I'm to take away from

0:47

this? I'm trying to get

0:49

my son to like Phantom

0:51

Menace and it's not going

0:54

well. No, it doesn't. It

0:56

doesn't. It doesn't hold up for them. I've tried to

0:58

get my kids to watch some of this stuff too

1:01

and they're not interested in Star Wars. They're not. All

1:03

right, spoilers for the first 10 minutes of Phantom Menace,

1:05

I guess. I mean, come on. You

1:07

know, when like Qui-Gon and Obi-Wan, Obi-Wan's like, I

1:09

have a bad feeling and Qui-Gon's like, can you

1:11

shut up? Yeah. Which

1:14

is like, if you are a dad or

1:16

perhaps an older uncle or something like that, I

1:18

think you feel Qui-Gon a lot. Because I can

1:20

imagine Obi-Wan's always like something bad and if you've

1:22

read the novels, Obi-Wan, young Obi-Wan, oh, he's always

1:24

like, something's bad.

1:26

Something's like he's constantly just like

1:29

a panicky- Crying wolf. Right.

1:31

Yeah. He just happened to

1:33

be right this time, right? It's not that like he's so good. Broken

1:35

clock. So we're watching

1:38

it and my boy is just not

1:40

having it. He's like, one,

1:42

those, he had a list that

1:44

I'm going to phrase it better for

1:46

him. The droids look

1:48

like garbage. He said

1:50

he could build better ones out of Legos. Step

1:54

one. Two, And I Quote,:

1:56

this might be my fault for mentioning

1:59

Darth Maul too many times for him.

2:01

Why doesn't why gone? Just kill the

2:03

trade federation guys instead of running away.

2:07

To what's I had no good answer because if

2:09

you count the number of droids they kill in

2:11

that opening, sleep. There. Is

2:13

no reason they couldn't just plow their away just

2:15

through to the bridge to be like so this

2:17

war's over. Yeah Lisa, you know there's a few

2:20

movies I don't want to go into it better

2:22

at lower the rings and look at it. you

2:24

were yogi. Kind of start thinking about it you

2:26

go. or if they would have just done this

2:28

well the Eagles right there in a city guess

2:30

but I already was out. There is a reason

2:32

they can. I always got of

2:34

okay. I target says that the movies didn't

2:36

do a good job of this, but I

2:39

actually wrote my final medieval literature pieces Yes,

2:41

that was my wheelhouse. Three or and given

2:43

to me on the national are effectively air

2:45

defense. They. Can't do it because

2:47

of the Now school and that weird

2:50

shadow that is that is the in

2:52

ten and reason They cannot use the

2:54

eagles. Us barely satisfy barely satisfying rights

2:56

that the real reason is like. Tokens.

2:59

Point wasn't the war was the journey?

3:01

Yes, yeah. Quite. Like the journey that

3:03

arm think they seem to be on. They.

3:05

Aim to capture fifty percent of the

3:07

Pc market in the next five years.

3:09

Their Ceo says. That's. Remarkable arms,

3:11

market share and windows. I think this is

3:14

a quote I think truly, in the next

3:16

five years it could be better than fifty

3:18

percent. The. Even got the Mack

3:20

dude from the Mack First Pc commercials

3:23

like they're they're they're common for yeah.

3:25

I guess this is betting on battery

3:27

life, driving sales, I. Agree with

3:29

it. I totally agree with I know we

3:31

were talking and slack. I think your average

3:34

business user. Who. Was not being ordered.

3:36

You made a good point. Like a beige black

3:38

box plugs into a wall. Cares.

3:40

more about battery life than the do through

3:42

but i would be light least the shops

3:44

at irvine thousands of windows pcs in a

3:47

single order that you know have contracts with

3:49

city w or dell or whatever might be

3:51

as the say if you have a dell

3:53

bolt bulk order account right if you gotta

3:55

wrap right are you probably are not really

3:57

super sensitive to battery life in ninety four

4:00

percent of your work cases. You

4:02

mean performance? Well yeah, yeah

4:04

battery life performance. What I mean

4:06

it's it's Windows is a business

4:08

tool. Yeah. And that seems to be

4:10

the bulk of the sales and why I think I

4:12

think if we all if we

4:14

all used ARM as computer enthusiasts I

4:17

still think Intel x86 PC's would live

4:19

for another hundred years at least just

4:21

inside the halls of business and government.

4:23

Yeah I've seen some horrific things done

4:25

with old Dell and Sprons so. Yeah.

4:29

Also how do you get to the 50% I mean

4:31

50% of a billion users. So how do you

4:35

get there unless developers are

4:37

totally on board. Like the Verge

4:39

made this point. They said

4:41

Microsoft needs developers worse than they ever

4:44

have before because they've made this huge

4:46

push for AI. They clearly have across

4:48

the entire organization a lot riding on

4:50

their AI efforts and sales pitch. But

4:54

as the Verge writes Microsoft needs developers to

4:56

adapt their apps again and that's

4:58

what's required to get people excited to

5:00

use Windows. And that went so well

5:02

the last three times. I

5:05

just look at this and I think so arms

5:07

ambitions are 50% like

5:09

everybody's tossing around these huge

5:11

numbers. Really big stuff. 50

5:15

50% of a billion users really in

5:19

five years really you're gonna do that really

5:21

when software compatibility is a thing that drives

5:23

the entire market for Windows for

5:25

the most case. That's what Windows is

5:27

all about. Would you like to take

5:29

a ride on my metro. Now in

5:32

this interview you know they're very confident

5:34

in this emulation layer they have to

5:36

run x86 applications on ARM very

5:38

effectively so it's part of his calculus I think.

5:42

Wow. Yeah. Feels like a long shot. I

5:44

could see 20% maybe you know. I

5:49

mean I could see a significant number

5:51

right because remember again most of the

5:53

users are using Chrome and Microsoft Office

5:55

and Teams. So there is

5:58

like a whole different market that are people. People

6:00

who don't listen to this show. Just,

6:03

it's gonna be a bumpy ride. Also, that market

6:05

tends to be on a five year plus, you

6:09

know, upgrade cycle. Oh yeah.

6:11

And they don't tend to buy the nicest machines

6:13

when they do buy a machine. Well, and the

6:16

spec requirements, I forgot, what does Microsoft call it?

6:18

They have a... The co-pilot plus. Why

6:21

they insist on using the term co-pilot is beyond

6:24

me. But the co-pilot plus PC, say that three

6:26

times best, is a...

6:29

I think I'm minimum spec. It's a decent little minimum spec. It's

6:32

decent, but I don't know.

6:35

I guess it would be great

6:37

to talk to a buyer for one of these large

6:40

enterprises. Like, is this more than you wanna buy? Because

6:42

I've seen some really crappy laptops. Yeah.

6:46

Yeah. I agree with you there. I

6:49

think it all really does depend on developer adoption at

6:51

the end of the day. If the

6:53

developers can make interesting stuff around this to make the

6:55

ARM platform appealing, then

6:58

you're right. A lot of people that would just

7:00

get a Windows machine and

7:03

run teams in a browser and run, maybe the

7:05

Microsoft suite of applications, which will probably work great

7:07

on ARM and a couple of other things, I

7:10

think they're gonna be happy. And maybe they'll save a couple

7:12

hundred bucks because it's not an x86, it's an ARM machine

7:14

and they seem to be a little bit cheaper. So

7:17

maybe, everybody's happier. The budget folks

7:19

are happy because they're saving a little bit of

7:21

money. Microsoft could also lean

7:23

into the power savings. The company

7:26

could say one of their green initiatives is replacing an x86 with

7:28

ARM. We're gonna save that

7:30

some amount of power this year. Except that these data towers running

7:32

giant Nvidia GPU. Sure. Right

7:35

while they spend a trillion dollars on GPU. We're gonna

7:38

save some energy, we're not. Okay.

7:46

Very fair. Oh yeah. We'll

7:48

see. I mean, if you think about, there's

7:51

like, I think really two strong laptop

7:53

markets and there's the user you just talked about

7:56

and then there's the MacBook Pro customer, which is one

7:58

of the world's best selling computers. And

8:01

the MacBook Pro, you know, you

8:03

can get that sucker up to 128

8:06

gigabytes of RAM, 8 terabytes of SSD,

8:08

big screen. It's clearly going after –

8:11

it's expensive as hell. I mean, there's that too.

8:14

So it's clearly going after a certain segment of the market

8:17

that I think Windows would need to have a

8:19

solution for if they really, truly wanted to reach

8:21

50% of the PC market. I

8:25

think they could reach 20% of

8:28

people that are buying laptops for

8:30

school, the workers, the folks that

8:32

you mentioned. I think you could maybe get

8:34

to 20% over the next decade, about

8:37

five years though. Promo code DARTHJARJAR. Coder.show

8:40

slash membership. Promo code DARTHJARJAR if

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you go there and use the

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promo code DARTHJARJAR. It'll take $1

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membership for a year, and you'll contribute to

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the show directly. Now, there are limited

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redemptions. DARTHJARJAR was an internal

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revolt. A promo code applied

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that I did not approve of. I

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did not give my authorization. But

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yet it's out there with limited redemptions

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available, and it is a

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great way to support the show directly because

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this is an ad-free program right now. So

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it's member-funded directly or by your boost. If

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you use the promo code DARTHJARJAR, you can

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take advantage of that internal

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revolt promo code. I don't know what to call it.

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It'll last for a

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year. For new members, existing members too,

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if you're going to reactivate an expired

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subscription, we really appreciate it. Thank

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you everybody who supports the show directly. When

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you join our Coder QA crew, you

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support the show, you get an ad-free version of

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There's always a fresh one either just out or in

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Your support ensures we continue production and you get a

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go to coder.show.com and use the promo

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DARTHJAR. Jar Jar, coder.show

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slash membership. So

10:05

OpenAI is down, or at least it was down all

10:07

this morning as we prepared the show. It

10:10

also went down yesterday for two and a half

10:12

hours, and it went down for five hours on

10:14

May 23rd. It's

10:17

just extremely unreliable. It's really fascinating that we're

10:19

this far into the main, I mean over

10:21

a year. And it

10:23

goes down all the time. Last

10:25

week we talked about the horrible search results from the

10:28

Google answers that tell you to put glue on your

10:30

pizza or eat rocks if it's fine to smoke when

10:32

you're pregnant. Google has now decided

10:34

they're going to walk that back a bit. Just

10:37

a touch. I

10:39

had this interesting experiment I did yesterday

10:41

with Gemini. I

10:43

asked Gemini to find a

10:45

very specific quote to

10:48

search YouTube, and I gave

10:50

it a rough timeframe, and it told me that

10:52

that clip did not exist. I

10:54

then went using my gray matter and found

10:56

it within about 10 minutes on YouTube, maybe

10:59

the last five minutes, then

11:01

linked it to a time code, sent

11:03

it to it, and said you were wrong. Here

11:06

it is. Oh, you're absolutely right. Sorry about that. I'll try

11:09

to keep that in mind. Came back, new chat, asked the

11:11

same thing. I can beat that. So

11:14

are you familiar with the

11:16

original series? Yes, guys. I'm

11:18

opening with the Star Trek very early in the

11:20

episode today. It's

11:23

a episode called The Ultimate Computer. Oh,

11:25

gosh. That does really ring a bell. I mean, I know

11:27

I've definitely seen it. I know I have seen it. So

11:30

I don't want to spoil the whole

11:32

thing because I honestly encourage folks to

11:35

actually watch the stuff. But

11:37

there's a number of these between like TNG

11:39

and TOS where the computer... Because the ship

11:42

has an AI, effectively, right? The ship has

11:44

a computer. Oh, yeah. This is where the

11:46

M5 unit takes over. The multi-tronic system. It

11:48

takes over and the computers just look like

11:51

I'm not listening to you anymore. Blah,

11:53

blah. You know, it's funny. Just a little

11:55

side note. One of my home server names is M5

11:57

in my RV. Is your other one Hal and my...

12:00

No, it's

12:02

custodian which is another supercomputer from another sci-fi

12:04

series. So mine was her but then Scarlett

12:06

Johansson sued me so I had to stop.

12:09

So I got in this conversation

12:11

with Google Gemini because

12:13

I'm trying to do some marketing for

12:17

the new Autodesk building connected API integration that

12:19

Alice has. By the way, you should check

12:21

that out. And it

12:23

was doing really well. It was kind of pushing

12:25

me towards Google solutions but I

12:27

pay for Gemini. It's part of my, you

12:30

know, I have the fancy Google workspace thing.

12:32

So maybe that's why because it knows I have it. But

12:37

it's like let me see the logo you were using. Okay.

12:40

Now Alice's logo for anybody

12:42

who's, why would you have seen it, is

12:45

a like 1950 style robot. Right?

12:49

It looks like Alice in Wonderland. It's a

12:51

robot in like a blue pinafore dress.

12:54

But it's obviously a cartoon robot.

12:56

Right? There's no way a realistic

12:58

image of a woman or a

13:00

girl. I upload the logo.

13:03

It gives me this really robotic weird response

13:05

that it can't do anything with images of

13:08

people. The response, that

13:11

is clearly not the image of a person. Take

13:13

another look. It's a robot. Now

13:15

it had deleted the image. It said I looked again from

13:17

what I could remember. Please upload it again. I

13:19

think you're right. It's not a robot. Upload it

13:22

again. You're right. It's not a person. Right?

13:25

That's the key. It's not a human.

13:27

You're right. It's not a

13:29

human. Then I get the same can that deletes it. And

13:31

it says I'm sorry. I'm sorry. You're

13:33

absolutely right. Please upload it again. I

13:35

upload it again. And then I get this screen

13:38

of gibberish that I have – I actually linked

13:40

it on my

13:42

Twitter. I linked it because I have a whole

13:44

thread about it. I linked the base tweet. And

13:47

there are a couple things

13:50

in the output that I

13:52

thought were really curious and

13:54

curious, sir. So you

13:56

read it. First of all, it

13:58

comes up in We're different languages.

14:00

It's kind of makes sense right as it. I'm.

14:03

Assuming it has a nurse and

14:05

other things but it keeps saying

14:07

show, score, Show. So show it's

14:09

except it Decided, decided, decided and

14:11

freaking out. Progress. Progress. images, process,

14:13

process. I think.

14:16

And of course no was gonna tell me the truth in

14:18

her but. I'll. Also, this

14:20

is no t A Keep saying

14:22

Score Score Score! Auto Wired Auto

14:24

Wired. And then Asus test

14:27

and a budget burris. Private.

14:29

Get keeps repeating this as though

14:31

it's rating the image. Yeah,

14:34

I see Guy guy. Score! Score! Also there's

14:36

some the down here that says C B

14:38

O C B Own and Prevent Prevent prevent

14:41

prevent right in a two And then at

14:43

the animals. Who Who? Who? Who Who Like

14:45

Like allow Who Who Who But who like

14:47

Who Is that? A person like that Who

14:50

right? And this is all in a giant

14:52

weird almost gibberish looking block of tax is

14:54

three pages and then it like crashed on

14:57

me. I think what happens and I'm I'm

14:59

I'm I'm I'm This is not like self

15:01

aggrandizing earth And I think this is literally.

15:03

How you defeat the the How like in Star

15:06

Trek. The Defeat the Computer Yeah, I got

15:08

it to agree. That. It had

15:10

broken it's own rule. right?

15:12

That I was correct, that the image

15:14

of the Our logo. Is. Should

15:16

have evaluated. should have said was okay

15:19

because it's not. Like a

15:21

real girl. Unreal. one. Ply.

15:24

Their. Pasts I I would bet

15:26

dollars to donuts. There is a

15:28

hard coded rule in it's original

15:31

instructions. For. Very good reasons

15:33

Rae: I'm not saying this person

15:35

exists that you are not to

15:37

manipulate images of people, and probably

15:39

particularly when. I would

15:41

love if you want to anonymously send us

15:43

one of those weird things that press can

15:45

get. Words. You know,

15:47

whatever. And. You work at Google and

15:49

explain if I'm right and wrong. But. Reading

15:52

this gibberish. I'm. Pretty

15:54

sure that's exactly what happened here.

15:57

Like. the llm thought that

16:00

I was correct, which I was, not a

16:02

real girl, right? But

16:04

the rules, its

16:06

own internal logic collided with its

16:08

hard-coded rules. So I don't

16:10

know, what do you think, Chris? I'm going to shut up. What do

16:12

you think? Yeah, I think maybe like the

16:14

safety filter rules, essentially, it went awry there

16:17

still, and it fought with itself. And

16:19

then what you got was like this mixed, gibberish

16:21

output. That you put it better

16:23

than I did. Yeah, that's exactly it. I

16:25

think that whole crazy three-page output is actually

16:28

arguing with itself. Yeah, it wasn't

16:30

meant for me. I

16:34

don't think we've really ever watched... I

16:37

guess, let me back up. We

16:39

have witnessed this, but what

16:41

we are witnessing is an

16:43

escalation of putting

16:45

things out there before they're ready. Like we

16:47

have watched Big Tech, in order to chase

16:50

these trends fast enough, escalate

16:52

their willingness to put things out that are

16:54

half-baked, and more and more of these products

16:56

that are coming out are really

16:58

kind of only like an

17:00

undershoot. Let me look at the Apple Vision Pro.

17:04

That really wasn't... That also was an undershooter. A

17:06

lot of the wearables that come out are really

17:08

just crap. All these things are over-promised and over-delivered,

17:10

and they're just... I don't know,

17:12

you see it with these LLMs. They're so

17:14

barely useful. So barely useful.

17:17

Useful, but barely. But

17:19

yet, we see these open

17:21

AI staffers, there's nine of

17:23

them, that are out there on a

17:25

full panic about safety. At

17:27

one point, one of them was willing to turn down huge

17:30

sums of equity so they could

17:32

speak about the dangers of AI. Daniel,

17:35

he was willing to turn down the equity,

17:37

and kind of blew the lid off that agreement that they

17:39

all had. He has a 15-post thread

17:41

on Weapon X, on why he quit, and

17:44

how dangerous he thinks it all. He's

17:46

organized a group of nine to

17:48

come together and try to warn the

17:50

world. Can I just put a side

17:53

note? Why is it always nine?

17:55

You got nine Nazgies, you got nine as a Fellowship

17:57

of the Rig. If You need to

17:59

form a team.... I'm sorry we only have

18:01

eight people here. we can't go till he

18:03

gonna light. Up

18:05

there it's a group chat the and on

18:07

a newsgroup chat only last night. or maybe

18:10

the i just Freaked out to you added

18:12

the nice person to the say that right.

18:14

To keep going Answer: So today that the New

18:17

York Times did a piece on the group of

18:19

nine. And. Also to google

18:21

deep mind staff in this group. Nice anchor on

18:23

their own. Nicer by think they're and nine. And.

18:26

They say they're trying to blow the whistle

18:28

on a culture of recklessness and secrecy. They.

18:30

Say they are asking for quote

18:33

the right to warn employees. I'm

18:35

and others in these labs and they've set up

18:38

a website to. Ah, Though,

18:40

it's the right to warn and

18:42

the website is right to warn.a

18:44

I. Were. There posting all this

18:46

stuff and here's what I've I think I've grabbed

18:48

as their main concerns. I could be wrong. Up

18:51

I'd appreciate but he boosting with additional

18:53

context or corrections or get i'd lived

18:55

out of your life. So.

18:57

With the open a I folks a

19:00

launch a chatty pretty freaked them out.

19:02

Sam. Told Them is going to be a lot

19:05

of some small experimental thing from what I can piece

19:07

together based on interviews and podcast. The

19:09

next thing that these people now the chat

19:11

Cbd ecosystem is a thing with plugins and

19:14

a p eyes and. Millions.

19:16

Of users and lots infrastructure. The sign of the thing

19:18

is just went from hey we're going to this little

19:20

experiment. To Boom! We have an ecosystem

19:22

like overnight, so that's where all these concerns

19:24

about moving too fast and commercialization I believe

19:26

are coming. From they. Are also

19:29

concerned I come from what I can

19:31

grog that the ai tech. Is.

19:33

Being developed before. The. Safety

19:35

and Alignment board in the controls

19:37

our are mature and they believe

19:40

the process should be reversed. Developed.

19:42

The controls, The safety boards, The standards.

19:45

Then. Developed a I. Whatever.

19:47

And they also say that there's little to

19:49

no oversight of this technology. Our.

19:52

and they argue that they were silenced by their

19:54

contracts and it's good to see those changed for

19:56

the fact that they engaged in the that to

19:58

intimidation tactics for so long And

20:01

only course corrected under public pressure is still

20:03

a concern. And they're also raising

20:05

the point that if Sam didn't know about these measures

20:08

to silence them, that's also a concern. So

20:10

they launched this right to warn and from

20:12

what I can grok, those are their big

20:14

worries. I don't know. What's your take? What's

20:16

your hot take on those concerns? I

20:19

mean that's just not how things

20:21

work, right? The

20:23

automobile was invented before the driver's

20:26

license. Yeah, that's

20:28

a great point. And

20:30

they're driving a long time before there's a safety

20:33

belt that were required. Right,

20:35

or airbags. Yeah. Or laws

20:37

about driving under the influence or anything like

20:39

that. I mean I think... I guess what

20:42

gets me – sorry to cut you off, but

20:44

you just really nailed it, Mike. That's so frickin'

20:46

insightful because the thing that we see over and

20:48

over again with people that are always raising all

20:50

the concerns is they

20:52

always approach it as if we can't

20:54

adapt and tuck and roll in the future. And

20:57

modify legislation or update

21:00

or create regulation or – we

21:03

don't have the ability to respond. And yes, sometimes

21:05

it lags. There's a flip side of that.

21:07

And the flip side of that is there's innovation and growth, which

21:10

is why you can't really name

21:12

any big tech companies outside the United States. It

21:14

matters. It makes a difference. You just nailed it.

21:18

Yeah. I mean somebody's asking in the chat, seat belts

21:20

weren't mandatory until the 70s. You

21:22

didn't have to wear – I mean if you mean for

21:24

the motorists and the passengers, you didn't have to wear

21:26

a seat belt. That was at least in New Jersey

21:28

when I was a kid. That was

21:30

a brand new thing. And like literally

21:33

it started with insurance companies. If you

21:35

said you wore a seat belt, they gave you

21:37

a little break. And then they had – remember

21:39

click-it-or-ticket? Oh yeah. Oh dude,

21:41

when I was a kid, I don't think most of the adults

21:43

wore seat belts. I think some of the kids did. Like the

21:45

kids wore seat belts. In fact, my

21:47

parents had a car that had to be retrofitted to

21:50

add seat belts to the back seat. To have a

21:52

proper – I remember my uncle had one of those

21:54

cars where the seat was just a bench. Yeah,

21:57

Yeah. Remember The old bench seats? Oh Yeah, bench seats.

22:00

The Uk just came over your last a

22:02

set of across her shoulder. yeah I admit

22:04

lots of just a lap stuff back that

22:06

right? Yeah, so it may be the front

22:08

seats had over the shoulder. maybe. It.

22:10

Out of but not the vaccine and inside

22:13

airbags became a thing. Yeah,

22:15

we we do. Obviously, as you know, like

22:17

to see a race rate humanity have the

22:19

ability to adapt them. Bad things happen. I

22:21

think this is a little overheated. I do

22:24

too. And I'm not a Sam Sam. I

22:26

believe he did mislead them and I believe he

22:28

probably does continue to mislead people by the same

22:31

time for he misled them because he wanted to

22:33

You know he's for thought his like all that.

22:35

The. Silicon Valley tech guys. He wants to be Napoleon.

22:38

For a he wants to conquer everything. And let's

22:40

not forget. Microsoft. Wants something

22:42

for that investment? You. Know

22:44

when when Microsoft put that money on the line?

22:47

I'm. Sure Sam zell to little pressure to

22:49

produce something. right? Now Microsoft gets

22:51

the Copilot up Everything I am a member.

22:53

The out for for opening ai is once

22:56

in a gets attack right. they get to

22:58

argue. Known for the go to court but

23:00

once they develop a general re a D

23:02

I. You. Know. Mike.

23:05

They no longer have an exclusive deal

23:07

with Microsoft. So.

23:11

If you're if you're you know

23:13

Sam Altman here. You. Want

23:15

you want the heaviest lead foot on the pedal?

23:17

Does you need to get a D I. Basically.

23:20

You got to keep Microsoft money. And

23:23

you you you know you no

23:25

longer have Uncle Satya. being effectively

23:27

your your boss wrote my inclination

23:29

honestly is to believe them in

23:32

some regard because. They're.

23:34

So close to it. They were inside the

23:36

halls of Open A I are they are

23:38

inside google Deep Mine like they've seen. This.

23:41

Thing you know probably at it's in a

23:43

different development stages and one of the concerns

23:45

they do raise his they believe it's only

23:47

a short matter of time. Until.

23:49

These things are significantly more intelligent

23:52

than humans. And. then that's

23:54

when they say it's really gonna matter

23:56

that we don't have those safety controls

23:58

as review boards and those processes in

24:00

place because this thing is going to be a

24:02

lot smarter than us in a short amount of time. And

24:05

there's not a proper amount of oversight on that. It

24:07

could be right. I think that there's

24:10

going to be years of lawsuits trying

24:12

to define general intelligence.

24:14

True. And I just –

24:17

I don't get the sense from our conversation we just

24:19

had a moment ago that these things, not

24:22

only do they not seem like they're that close

24:24

to being even as smart as a five-year-old

24:28

or a ten-year-old or let's

24:30

say even like a professor, which would

24:34

not be smarter than a human, just as smart as

24:36

some of the smarter humans, it

24:39

just doesn't seem like it's even close to that,

24:41

even kind of close. It's fairly

24:43

useful right now. It's a large language model that

24:45

we've managed to put a lot of stuff in

24:47

front of. And so

24:50

I wonder if maybe these – so these people

24:52

either have seen the machine and they know there's

24:54

something much better behind the covers that just haven't

24:56

been released yet. The ultimate computer is

24:58

just around the corner. Or they're

25:01

plebs and they've been completely snowballed by some

25:03

sort of sales pitch about the potential and

25:05

then they are just reactionary and freaking out

25:08

and trying to just warn everybody else because

25:10

that's what people who are reactionary do. It

25:13

could be one or the other. But when you

25:15

use this stuff, it seems like it's way, way,

25:17

way, way far away from even just being as

25:20

smart as an average

25:22

human, let alone a very high-end intelligent

25:24

human, let alone smarter than them. It

25:26

seems way away. We should probably close up this

25:28

topic, but I feel like there's a third option

25:30

that unfortunately – I call it jackass

25:32

as razor. I think this is probably the truth. Sam

25:36

Altman played them like fools and

25:38

none of these people, male,

25:40

female, whatever you are, these are folks with

25:42

big egos, right? They're

25:44

complaining, oh, the AI's going to destroy the world

25:47

and he lied to us. I

25:49

think the he lied to us would be in size 20

25:51

font and the AI's going to destroy the world, be in

25:53

size 10. If you –

25:55

you know, wonderful, been last to them and

25:57

got the truth because there's just – And

26:00

you know this too, too many stories

26:02

where people make these grandiose like for

26:04

humanity world of better place arguments

26:07

and really the conflict came down

26:09

to egos, right? Comes

26:11

down to personalities. Yeah. And that's

26:14

honestly what I think happened here. Sam, I'm

26:16

not saying, you know, he's certainly, I would

26:18

not have him canonized for sainthood, but

26:20

he's, the man used to run

26:22

Y Combinator, right? He only draws a salary

26:25

from open AI of like 60 something thousand

26:27

dollars. He's rich in his own,

26:29

right? He's not, you know, he's not this virgin

26:31

babe in the woods that

26:33

was victimized by an evil board. He's

26:36

a, he's a stone cold player. You

26:39

know, Machiavelli would be very proud of him. As we said

26:41

last week, he's a wolf. He's a wolf.

26:44

He's a, I mean, they're all wolves. So that's my point.

26:46

They just don't like to say, to mix our animals. They

26:48

don't like that they got out foxed by the other wolf.

26:51

Yeah. Stay a while and

26:53

listen. All right. So there's a theory

26:55

brewing right now that as long as

26:57

things remain kind of dead

27:00

in the money sector for tech,

27:03

you know, just like, except for AI. If the printer's

27:05

unplugged, we're all sad. There's

27:07

going to essentially be this sort of

27:09

Goldman Sachs style of laying off 2%

27:11

of the staff every year in

27:13

tech. Hateful. Uh-huh.

27:16

I know. Not our theory. This

27:18

is just one that's being talked about. And

27:20

Verge covered this Microsofted layoffs that

27:23

impact HoloLens and Azure

27:25

cloud teams. Google also just laid off

27:27

today and yesterday cloud teams. A

27:30

thousand employees from HoloLens. Damn

27:32

HoloLens. So much potential. Do you think this

27:34

is Microsoft getting on board the Mediterranean? Just kind of

27:36

a side note. But because they do make a, they

27:38

make a, in a quote in here where they say

27:40

that they're going to continue to deliver

27:42

cutting edge technology to support soldiers in addition to

27:45

that, because of course the HoloLens, they have a

27:47

big contract there, right? They'll

27:49

continue to sell HoloLenses and

27:51

reach the broader mixed reality hardware

27:53

ecosystem. Yeah, it's meta, right? Yeah.

27:56

We talked about the SDK a couple of weeks ago. But don't you

27:58

think, I mean, I just kind of to me. says that they're

28:00

just switching over to that train. But don't you think

28:02

this is interesting? This theory going around that two percent,

28:04

so there's just gonna be a two percent layoff every

28:07

year and basically tech companies will look at their bottom

28:09

performers as they put it and

28:11

this is this will Goldman Sachs is and then you just

28:13

let them go and it's just sort of

28:15

perpetual thing you do out throughout the year. Yeah

28:18

it's like stack ranking basically

28:21

but not calling it that. And

28:23

then funneling that into just a perpetual layoff machine.

28:26

Perpetual is a big word but I

28:29

guess I fundamentally agree. I mean there

28:31

was a lot of drunk money right and

28:34

a lot of like crazy hiring

28:36

going on. I mean I still

28:38

I know I'm gonna be quick on this but I know like

28:40

a month or two ago I mentioned this story just

28:43

like back about a year

28:45

or two years ago talking down here to

28:47

some startups who were like

28:49

excuse the French but dick measuring based

28:51

on headcount like yeah but are you making

28:54

any money? Like I'd rather have two

28:56

people and be profitable than

28:59

have 20 and be burning through cash. Now

29:01

I understand why and I've been I've gotten

29:04

some very private lectures from a couple

29:06

local VCs I know about why I'm

29:09

an idiot. I still

29:11

don't think I'm wrong. Yeah. I still think

29:13

ultimately the old style of like

29:15

this is where you actually have to at

29:17

least on an annual basis like you couldn't have

29:19

a losing quarter or a losing month. You got

29:21

to bring in more money than you than you

29:23

expend is I just

29:26

I yeah I'm sorry I

29:29

they overhired right they just they just

29:31

did. Google's accidentally been

29:33

caught collecting children's voice data.

29:36

Home addresses of carpool users,

29:38

YouTube recommendations based on users

29:40

deleted watch history which they

29:42

say they won't do, a bunch

29:44

of employee reported privacy incidents. This is all being revealed

29:47

by 404 media and it's

29:49

like they've also they take on too much Mike.

29:51

They take on too much and

29:54

so I guess most of

29:56

the incidents which have previously not

29:58

been reported impact relatively. small number

30:00

of people and Google tried

30:02

to fix them quietly behind the scenes

30:04

after employees discovered them. 404 rights

30:07

taken as a whole though, the internal database

30:09

shows how one of the most powerful and

30:11

important companies in the world manages and often

30:13

mismanages a staggering amount of personal

30:15

insensitive data on people's lives. And

30:18

this freaks me out because you know I think

30:21

I like to tell myself that Google has

30:23

great security standards and practices internally and that

30:25

like my data isn't like you know spilling

30:27

out on the floor all over the place.

30:30

But then you read this, it

30:32

shows that Google's own employees kept finding

30:34

incidences where either data

30:36

got collected that wasn't supposed to get

30:38

collected, third-party access was given to something

30:40

they weren't supposed to have access, Google

30:42

staff made mistakes that made people's data

30:44

available, contractors had access to things they

30:46

shouldn't, everything from you

30:49

know emails to Google files and docs,

30:51

everything they got, just little incidents like

30:53

this over and over again where they

30:56

discover that there's somebody has access to something they

30:59

shouldn't from internal employees to contractors to public.

31:02

It's terrifying to think of this because you know that

31:04

we always say the cloud is somebody else's computer but

31:06

when you think Google you think well they got probably

31:08

some sort of cool encryption system, they

31:11

might but if everybody has keys I suppose it doesn't matter. Just

31:14

yeah that there's also the one where

31:16

the Google contractor did you

31:18

see this one? He was a

31:20

YouTube contractor and he went into Nintendo's account

31:23

and saw all the videos they were working

31:25

on and just hacked them. Yeah,

31:27

yeah. Although my favorite story I like

31:29

404, we should mention the more kind

31:32

of, I feel like they're not as big as some of the

31:34

ones we mentioned but this is just

31:37

like the world we live in with Zoom meetings and everything.

31:40

Dude going to traffic court

31:42

for driving on a suspended

31:45

license. He calls in while

31:47

you're driving in the

31:49

car that's just like are you driving

31:52

and the judge actually lets them he's like just

31:54

please pull over like and

31:56

the guy's like oh I'm whatever going to the doctors.

32:00

over zoom issues a bench for it.

32:04

Yeah. That's

32:06

a mistake. That's the most post COVID thing

32:08

I've ever heard of you can't rest it

32:11

over zoom. I suppose I guess the counter,

32:13

okay, I'm gonna steel man this thing. Are

32:15

you ready? Steel man it. Coming at you.

32:17

Coming at you. Wouldn't

32:19

you want Google to maintain a database

32:22

of all these incidents so that way they could learn

32:24

from it and try to mitigate them in the future?

32:27

Wouldn't it be irresponsible if Google wasn't tracking

32:29

all this stuff? I mean, yes, it got leaked

32:31

to 404 media and it's very embarrassing. So

32:34

it's not ideal. But he

32:36

didn't like that leaked in reveal personal

32:38

information. It revealed Google's internal tracking of

32:40

personal information leaks and incidents. But

32:43

it's like a trouble ticket system like they should they

32:45

should be keeping track of this, right? Yeah,

32:48

I mean, I think the problem is that like just how

32:50

data hungry Google really is, right?

32:53

Yeah, people don't understand how

32:55

much they're hoovering up. Yeah,

32:57

and it really does reveal their security practices are

32:59

pretty weak, or at least they seem to be,

33:02

doesn't it? You

33:04

know, like, I guess another thing that

33:06

was in there is they blur it out on

33:08

Street View. But as we all suspected, they are

33:11

storing all the license plate they collect with

33:13

Street View. So they

33:15

blur it in the public version. But as we

33:17

of course suspected, this thing confirms this leak confirmed

33:19

that they're this they're steep, they're keeping all that

33:21

with the geolocation stuff that they collect. And

33:25

then two weeks ago, I didn't

33:27

get a chance to put it in the show I wanted to but I just

33:29

didn't get a chance two weeks ago or something like that. A

33:32

story just a summation of

33:34

Google this it's it's tracking

33:37

people with air tags and location information

33:39

that the Apple iPhone collects that then

33:41

they make available to the API, pairing

33:44

those people with star links and then tracking

33:46

them through Ukraine. And essentially what

33:48

it what the meat of the

33:50

story is is the Apple iPhone when it's

33:52

uploading your geolocation for your Wi Fi

33:54

to do the you know, assisted location

33:56

stuff, it not only uploads

33:59

your geolocation with your Wi-Fi access point name,

34:02

but all of the Wi-Fi access points around you. Ooh.

34:05

And when you go to query the API to

34:07

get your location, like if you're an app, it

34:10

will give you also something

34:13

like five or 400 APs around you as

34:15

well. And then it'll also give you their

34:17

Mac addresses. So you can pretty

34:19

quickly start to figure out what kind of gear

34:21

people have, and then by the

34:23

combination of their Mac addresses, kind of

34:25

identify them, and then you can track

34:27

them. In research, not only

34:29

did they track the movements of soldiers in Ukraine,

34:31

both Russian and Ukraine soldiers with extreme accuracy, but

34:34

they also, as part of the research, they saw some of them

34:36

flee and tracked where they went because they

34:38

took some of the gear with them, in this case like a

34:40

router and a phone. And they've also

34:42

seen just other people outside the Ukraine area, they've been

34:44

tracking them and watching them move around and seeing

34:47

some of these devices get sold. And it's remarkable

34:49

the information they can get. Google's API does

34:51

a similar thing, but the Apple API really

34:54

lets you abuse it without any kind of throttling

34:56

or anything like that. So you can really just

34:58

scrape this thing for information and build a tool

35:00

around it. And the theory behind

35:03

the Apple API providing so much information is

35:05

it's trying to give enough information for all

35:08

of the location math to be done on

35:10

device. And Google will do it

35:12

in the cloud for you. They have a little more restrictions,

35:14

they don't show you as much devices, but you can still

35:16

bang on it. Whereas the Apple one

35:18

assumes that it's an iPhone talking to it

35:21

and getting that information. And

35:24

so it gives lots of information. And

35:26

so the researchers were able to really, really, really

35:28

dig into that. And again, it's

35:30

like something that just kind of silently gets collected.

35:32

And there is like a no track, like an

35:35

underscore no track you can add to the end

35:37

of your AP name and Apple and Google both

35:40

will take it out of their

35:42

database. But every AP around you would have to

35:44

have that. And you'd have to

35:46

go change your AP name and then go update

35:48

all your devices to connect to that new AP

35:50

name. This seems basically untenable. I will put a

35:52

link in the show notes. You should really read

35:55

it. It's really remarkable just

35:58

the level of detail and information and track. they

36:00

can do just because all these

36:02

devices are constantly reporting the APs around them. Spooky,

36:05

my friend. It's spooky. Ask not

36:07

what your podcast can boost for

36:10

you, but what you can boost

36:12

for your podcast. Oh, well, let's see. We got

36:14

ourselves a baller right here. Rodded mood comes in

36:16

with 60,000 sap. Hey, Richard!

36:22

Oh, oh. Lobster.

36:24

Yes, but no message, just support. Hey,

36:26

that's how you just throw that change.

36:29

Boom. Thanks, mood. Appreciate it. Appreciate it

36:31

very much. Sam Squatch comes

36:33

in with some mick ducks. Things are

36:35

looking up for old mick duck. 22,222

36:38

sats. I hope you guys

36:40

stick around for the summer. Please, one for

36:42

ol' londo. Ol' londo. Oh,

36:45

londo. Londo. I was like, what is

36:47

he talking about? Londo, dude, from Babylon.

36:49

Yeah, Babylon 5. I

36:52

think I know exactly what he's talking about

36:54

with... I don't want to spoil, but Sam

36:57

Squatch, right back next week

36:59

if you were referring to londo's keeper,

37:01

because that's rough. Okay,

37:04

here we go. Tampatec Trekkie comes in with

37:06

20,000 sats. You're

37:08

so boozed. And he says that it

37:10

is... 20,000 sats is

37:12

actually four of

37:14

the Jar Jar boost. Everything's under control. Thank

37:16

you, Tamp Trekkie. Really appreciate

37:19

it. You actually put that on the soundboard. Drew

37:23

cut it for me. DG at

37:26

PTC comes in with 5,000 sats. Again, the

37:28

Jar Jar boost. You're so boozed. I

37:31

recently built a tiny LLM as part

37:34

of a personal exercise. And

37:36

it's clear that there is nothing innate about

37:38

the questions and answers to the GPT AI

37:40

architecture. OpenAI and friends

37:42

must be investing massive amounts into

37:44

offshore data entry, exhaustively asking and

37:46

interrogating content with questions. So when

37:48

chat GPT answers questions well, it's because

37:50

that question, maybe even that answer has

37:53

been seen before. Either scraped from

37:55

Stack Overflow or Quora or hand

37:57

jammed in there somewhere in the global south. DG

38:00

that is a very insightful answer. Yeah, I bet

38:02

in 10 years we're gonna We're

38:06

gonna find out that there's some I don't even

38:08

where do people do this stuff now? I used

38:10

to say bang a well remember

38:12

the Amazon grocery store was still India.

38:15

That's right. It's still India Yeah, we

38:17

just went up in India though didn't say I

38:20

thought I feel like the innovations got to be

38:22

happening and like in the Middle layers between the

38:24

LLM and the cheesy chat interface

38:26

I feel like that's where the real

38:28

like this massaging of Yeah

38:30

Delivering it to the system in a way that

38:32

the system responds and then delivering that message back

38:34

and how it gets sent back I feel like

38:36

that's really the middle development layer that they've got

38:39

to be really focusing I mean, I bet he's

38:41

right, but uh We don't for

38:43

a fact open AI is just hoovering update. I would have

38:45

permission to so But did

38:47

you see the thing where the lady from I

38:49

forgot her name. I apologize from open AI was

38:51

being interviewed And the interviewer

38:54

said so are you just like? Taking

38:57

Google YouTube data. I don't

38:59

want to talk about that right now. Yeah That

39:03

was very awkward that's like the hardest that's

39:05

like the the hardest and yes non-yes you'll

39:07

ever get from someone I Agree

39:10

Faraday fedora comes in little row ducks You

39:13

guys do what you got to do I rather take the summer

39:16

off than end the show in the near future But any episode

39:18

you put out I'll be listening and streaming sets. Thank

39:20

you fedora kapla Thank

39:22

you. Appreciate it torped comes

39:24

in with 8,057

39:27

sets Is

39:29

the story of Grep's development not the standard

39:31

we should all aspire to one man takes a

39:33

weekend to develop an indispensable tool For

39:36

decades to come good one torped.

39:38

I should look that up. I was just seeing a link

39:40

that Linus Essentially built the

39:42

core of git in like a

39:44

couple of days. Yeah, wasn't he pissed off

39:46

at Mercurial? Wasn't that which is ironic because

39:49

the name Mercurial yeah, yeah, yeah now might

39:51

have been it I might have

39:53

been I think it was I think yeah, cuz I don't think I I

39:56

have to watch revolution OS again, even

39:59

though It's just for

40:01

my morality that's required watching

40:03

for this show it really is Pirates of

40:05

Silicon Valley also highly recommended hard to find

40:07

but if you pro-tip

40:10

sometimes the BBC's

40:12

BBC America will sell you old

40:14

PBS movies, which is what? Silicon

40:17

Valley is sold by now and Oh,

40:20

no, I'm thinking of the Rob cringy one. You're

40:23

thinking of the one with Noah. Yeah, right. Well, they're

40:25

both good That's what I'm saying. I have them messed

40:27

up pirates. Right one is fiction one is a documentary,

40:29

right? Wes is coming in with a hotfix. He says

40:31

by the way, it was big keep it keep it.

40:33

Ah, yeah Yeah, there you go Yeah,

40:36

they're both recommended watching neon Pegasus

40:38

is coming in hot with 2883

40:41

sats Longtime

40:44

listener first-time booster. Well,

40:46

hello. Thank you Thank

40:50

you for taking that journey if you gents need a

40:52

break summertime isn't a bad time Just

40:54

make sure to come back now. It wasn't us that needs a break

40:57

You see when we when we were talking about

41:00

that that was after like a week of like

41:02

no membership signups and like 30,000 sats So

41:04

like we were like, uh, oh His the

41:07

show can survive but the trend has to

41:09

continue really? Um, yeah, cuz like Doesn't

41:12

have to need for neither one of us. It doesn't have to

41:14

make us thousands and thousands of dollars We just want to keep

41:16

a light on until the advertising market turns around. We're

41:19

doing alright So I've been listening

41:21

since nearly the beginning of coder and it's one of

41:23

the podcast that jumps to the top of the list

41:25

When a new episode drops. Oh Love

41:28

that. Thank you. Appreciate that very much. Oh,

41:30

that's like that's the that's the honor and Goal

41:34

that all podcasts aspire to it. Hmm. The force is

41:36

strong with this one Okay,

41:40

I might want that too drew okay Strong

41:44

with this one the forces Also

41:47

adding one at the start of my

41:49

boost amount turns it into a zip

41:51

code boost with a Star Trek Easter

41:53

Egg Uh-oh a zip code. I gotta

41:55

grab Wes's map to a 8 4.

41:57

Oh, no, is that three? 1288

42:00

oh, there's a one

42:02

there one. Yeah, you gotta add the one.

42:04

Oh, I literally added the number one Okay,

42:08

he's okay. I know where he I know where he is,

42:10

but what's this try Condor Roca, New

42:12

York Is that what I'm seeing here? Yeah,

42:14

I have a victory mills, New York I got a

42:17

paper cut, but what's the Star Trek reference?

42:19

I don't know I see that there's

42:21

a Star Trek original series set tour going

42:23

on there in May Star Trek next generation

42:26

1 1 0 0 1 0 0 1 it's the 15th episode, but ah Alright,

42:34

that's deep. All right boost in if I

42:36

got that right. Let us know by googling this now

42:39

We could ask Gemini, but you know, it'll

42:41

just get upset It

42:43

would actually give you a worse answer than we just

42:45

did that's what's incredible. That's remarkable crash

42:47

master comes in with the row of ducks 2222

42:50

sets Red

42:54

Hat seems to have made a solid bet on

42:56

easy management and deployment of small open

42:59

LMS on premises Many

43:01

companies don't want their data in the major

43:03

cloud out limbs that also are not great

43:05

beyond assistant style tasks yet I

43:08

think crash master I agree that businesses

43:10

would prefer to have on premises but

43:13

if you think about what that means

43:15

that means buying tens of thousands of

43:17

dollars of GPUs and Systems

43:19

for those to go in plus staff that knows

43:21

how to run that then the software infrastructure to

43:23

manage it There's definitely going to be companies that

43:25

will make that investment but

43:29

How many businesses do you know? That

43:31

are gonna go spend that money and even if they just got like

43:33

us, maybe they don't get a lot Maybe they just get like a

43:35

couple of powerful Systems, that's

43:38

still five grand a couple

43:41

of people that need know that need to know how to

43:43

run it and and management needs to have a clear understanding

43:45

of The ROI

43:48

on that little spend Like

43:50

beyond you know, just research and development. It

43:52

seems like a hard sell, right? It's it

43:54

seems like a big capex that they're not

43:56

gonna want to do which seems like ultimately

43:59

where this either and the AI stuff falls

44:01

off a cliff. Right, because 20 bucks for chat GPT,

44:03

whatever the hell they call the plan, is that they

44:08

can't be making money, right? So yeah, right? So

44:11

it's either going to be centralized in

44:13

these big cloud providers that can buy these GPUs

44:15

and get into those upgrade cycles and compete with

44:17

each other to stay competitive in

44:20

the market, or it's

44:22

got to be optimized on lower-end hardware

44:24

and get better, and get

44:27

better, and these smaller LLMs have to get

44:29

faster and better so that

44:31

way enterprises can get into

44:33

it without $30,000 of capital expenditure

44:36

or something. It feels like

44:38

a real problem the industry needs to solve if they want

44:40

to keep this momentum going. But I

44:42

don't know, what do I know? I'm just the

44:45

guy on the internet. T-B-O-B-R-N-O-B-R?

44:49

Come in with the road. Ah,

44:51

here we go. T-Boy on Nobara. Nailed

44:55

it. I got it. Always

44:58

love the takes. What's expected from WWDC?

45:02

Oh man, yeah, next week. It'll be right here

45:04

in WWDC episode. We

45:06

will find out. I mean, yeah,

45:09

I don't know. Yeah, we'll find

45:12

out next week. We got time. Yeah, we'll

45:14

see. Don't think you're going to get a Mac Studio

45:16

with an M4 in it. You mean an

45:18

iMac Pro. Oh, we're an iMac Pro. I don't think you're going to

45:20

get that. I don't think I'm ever getting an iMac Pro again. I

45:22

don't think. And I don't think we're going

45:24

to see a new Mac Pro. Maybe. They

45:26

should. They should, you know, really flex.

45:29

They should do like some super ai Mac Pro. So

45:32

maybe they will. I don't know. Skips. T-B-G

45:35

comes in with a Rodeux. Boosting

45:38

in with the news about Kotlin's 2.0 release.

45:40

This release has been cooking for a

45:42

long time and it brings their home-grown

45:44

K2 compiler to stable. The

45:47

K2 compiler enables Kotlin to be compiled

45:49

to JVM, JS, and Wazool.

45:52

And native code, all, from

45:55

the same base. I think it's

45:57

worth keeping an eye on this space as it's developing

45:59

to be... a great multi-platform

46:01

ecosystem. Good stuff, yeah

46:03

that's fair. I actually really liked Kotlin. I

46:06

just ended up reverting back. And if you

46:08

subscribe to the Coderly, you'll find out why.

46:10

Tomato comes in with 5,000 sets. The

46:13

Jar Jar Boost. You're so boost.

46:15

Just me, so boost. I wanted

46:17

to recommend the Tencent TV adaptation

46:19

of the Three Body Problem. It's

46:21

a very faithful adaption to the book, and they

46:24

give it a budget it needed to make some

46:26

amazing sci-fi TV. You will need to read subtitles,

46:28

but the acting is fantastic. Yeah, I have to

46:30

sit down and watch that. Well, thank you, Mr.

46:32

Tomato. I did like the Netflix series.

46:35

You're right, I don't think it's, I

46:37

don't think I'm gonna rewatch it ever. You know, like the

46:39

Expanse, I'm gonna watch again. Star

46:41

Trek, I continuously rewatch. I

46:44

would even potentially consider rewatching 12 Monkeys. Things

46:46

like that, you know. Deadwood,

46:48

these shows, there's lots of these, right? But the

46:51

Netflix Three Body Problem, as with so many of

46:53

these streaming shows, I don't mind them at the

46:55

time, but then afterwards I'm like, I don't really

46:57

ever need to revisit that. Yeah, I mean, the

46:59

problem with the Netflix version, it's good, but they

47:01

turned it into the Power Rangers. I mean, if

47:03

you think about it, it's the

47:05

Power Rangers. Wow.

47:08

Hey, it could be morphing time. I

47:10

have a Goldar sticker on my MacBook Pro. I'll

47:12

have to tweet that later, because people won't believe

47:15

me. I will tweet the Goldar sticker on my

47:17

MacBook Pro when this is released. Well, thank you

47:19

everybody who boosted into the show. We

47:21

had 12 boosters. We had a cutoff at 2,000 stats, but

47:23

we stacked 132,550 stats. This

47:27

is not a blowaway, but we really do appreciate

47:29

that support. Of course, a shout out there to

47:31

those of you who stream those stats as you

47:33

listen, and of course to our members. If you'd

47:35

like to try boosting, you get in on

47:38

the Podcasting 2.0 fund when you do it. Something like

47:40

Fountain, where you can connect it with Strike and get

47:42

your sats in really no time, boost

47:44

right into the show. Or if you don't wanna

47:46

switch podcast apps, you can go to fountain.fm, search

47:48

up Coda Radio, and then any

47:50

app that supports the lighting network like Cash

47:52

or Strike or Coinbase, or

47:55

anything that just can scan a QR code. You can send a

47:57

boost into the show and get your message read while you support

47:59

that individual production. The idea is to get a

48:01

little value, some enjoyment, some information, makes you

48:03

think about something. You send us a

48:05

little boost back or also appreciate corrections

48:07

or updates or your take on anything we

48:09

talked about. Thanks for everybody who does Boost

48:12

In. Before we run, I wanted

48:14

to share something you linked with me in our chat this week

48:16

that I think the audience ... I knew it. I knew you

48:19

were going to do this. The

48:21

8-bit retro mechanical keyboard, and

48:23

this one's the M

48:25

edition, is so cool.

48:28

I think you just found my new favorite keyboard, and

48:30

I don't say that lightly. I have

48:33

been refreshing the page on this, like

48:35

Gollum looking at the ring. It's pretty

48:37

bad. So, it's 8-bit do, like 8-bit

48:39

do, all one word, retro

48:41

mechanical keyboard. Did you notice that

48:44

they also have a Commodore 64 version,

48:47

a Fami edition as well, and an

48:49

N edition, and they all look really

48:51

cool. Yeah, so I've been a customer

48:53

of theirs for a while. They make

48:55

great third-party controllers that are compatible with

48:58

all the major consoles and Steam and

49:01

Steam Deck and work fine on

49:03

Mac and Linux. I

49:05

stopped buying the ... Sorry,

49:07

Nintendo, but your stupidly overpriced

49:09

Pro controllers and switched

49:12

to these guys. They have ... I

49:14

don't know if it's on that page, but

49:16

they have ones that look like the old

49:18

Sega Genesis or the SNES. It's really ...

49:21

It is quality stuff. It's not like some

49:23

of the cheap third-party stuff you get. Yeah.

49:27

They really know what they're doing. Then they have

49:29

their adapter section, so you can read by all

49:31

the adapters. Also the keyboard itself, Bluetooth

49:35

or wireless 24 hertz dongle,

49:37

and then the dongle stores

49:39

magnetically inside the keyboard. It

49:42

has an actual little knob. Now, it looks

49:44

like a knob from the 80s, so that's

49:46

cool, but it has an actual little volume

49:48

knob that you turn on there, and also

49:51

a volume knob style selector between Bluetooth off

49:53

and wireless. Oh, it looks

49:55

so good. It's a beautiful retro keyboard.

49:57

Now, in the ... requirements

50:00

here Mike it says it's only compatible with Windows

50:03

or Android do you know have you tried hooking

50:05

up to Linux I don't have one yet they

50:07

notice the yet the yet is very important yeah

50:11

and you know it's not crazy expensive well one they're

50:13

only for pre-order they're only for pre-order right now yeah

50:15

this one is right yeah oh if you're gonna do

50:18

it you have to go IBM M yeah I think

50:21

you're right but the family edition and the

50:23

end edition are available right now 89 bucks

50:25

which for a fancy boy keyboard much I

50:27

mean I have I love my launch that

50:29

I'm sure drew will edit out several times

50:31

during the show I don't

50:34

know though like I'm such an old but this is just like

50:37

the fact that they put it folks

50:39

you have to look at this it's an old

50:41

IBM computer with its keyboard and it's

50:44

got floppy disk next to it

50:46

in the marketing picture if you ever

50:48

want to sell me something throw a

50:51

couple floppies yeah it's just like throw them

50:53

next to your product I really like floppy

50:55

this I gotta say oh and it's wireless

50:57

or wired which I'm kind of getting tired

50:59

of my lawn I'm having to deal with

51:01

the cable I know it's nice to

51:03

have both you know because I'll use these

51:05

keyboards for years and years and I'll move them

51:08

between different computers yeah I mean I promise I

51:10

have the code mechanical keyboard I have two launches

51:12

I'm starting to become like those guys who

51:15

buy like you know a closet full of

51:17

assault rifles with mechanical expensive keyboards or the

51:19

kids these days kids these days love tennis

51:21

shoes lots of tennis shoes I am not

51:24

suffering from that yet so I I really

51:26

like it so again it's 8-bit due retro

51:28

mechanical keyboard and if anybody has any experience

51:30

with with their other versions let me know

51:32

because this is I think maybe the next thing

51:35

I'm gonna try I think I'm gonna get one I've got a keytronics

51:37

at home right now and I like it and then here in the

51:39

studio I've got a launch so I'm set here but

51:41

I stole from my stash

51:43

at home and I that's actually a studio keyboard that I

51:46

need to bring back so I need something for my home

51:48

setup I could be coding like it's 1989 so it is

51:50

a little

51:54

q-basic you know I know that's

51:56

what I learned on I you

51:59

know people I'm a little dunk on poor

52:01

Q basic. You could actually do a lot

52:03

in Q basic. Oh yeah. Oh

52:05

yeah. Oh yeah. That's what I started

52:07

with. Alright. Is there anywhere

52:09

you want to send the good people? Actually

52:11

yes. So normal Alice.dev but I

52:14

just literally, I wrote a press release for the

52:16

first time in my life yesterday Chris. Oh good.

52:18

Wow. How would Gemini then

52:20

I made it go crazy? That

52:22

is the thing I was doing. Oh right.

52:25

So that's what you were doing. Okay.

52:27

Okay. So if you look at Alice

52:29

Autodesk or something like that or my

52:31

name, I don't remember how Google indexes

52:33

it. But there's a bunch of like

52:35

the press release got picked up in a bunch of places.

52:39

But if you are an aspiring

52:41

tech blogger or weirdly a blogger

52:43

in the construction space and

52:45

want to learn more about automating

52:48

Autodesk Cloud Connected API, this

52:50

is the most, it's actually kind of cool

52:52

but very boring for most people listening to the show.

52:55

I can talk to you about that with Alice and I

52:57

am very eager to. So. And how do

52:59

they do that? Alice.dev? Go to

53:01

Alice.dev. Yeah. There's a thing you can just

53:03

email me or schedule a call there. Alright.

53:07

You can find me on WeaponX ChrisLAS

53:09

or if you want to try the

53:11

Noster thing, chrislas.com over there. The network

53:14

is at Jupiter signal. Things

53:16

that we talked about today. Yeah. Those are available there

53:18

on the web. At coder.show

53:20

slash 573. You'll find our

53:22

contact form there as well as our RSS

53:24

feed. Now, why don't you join us next

53:27

week. We'll be live at noon Pacific, 3

53:29

p.m. Eastern. I'll be broadcasting from the woods.

53:31

So that should be an adventure. And

53:33

we'll be recording a double coder next week. So if you come, it'll

53:36

be a nice long stream. You can hang out with it. Thanks

53:38

so much for joining us on this week's episode of the Coder

53:41

Radio Program. See you back here next week. Thank

53:50

you. you