Latest / Nonsense with cj little and Jeff Parker / HEADLINES: Gemini Goes Supernova, Airbus Blames the Sun, and Solar Saves the Grid

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HEADLINES: Gemini Goes Supernova, Airbus Blames the Sun, and Solar Saves the Grid · Nonsense with cj little and Jeff Parker

0:00
I have a limited amount of time of my medications working so
0:02
talk fast. We're on borrowed time here.
0:04
Aren't we? Although we've got stories we're
0:05
gonna want to talk a lot about 'cause they're interesting.
0:07
Hot dogs. Hot dogs?
0:08
What about hot dogs? That's my cure for the common
0:10
cold. I'm skipping on the hot dog, by
0:11
the way. I'm skipping on the bacon.
0:12
I'm, I'm trying very hard and I my favorite, you know, I love
0:15
the pastrami and I'm not eating pastrami.
0:17
I do love that my social media feed is basically 60% meat now.
0:21
Yeah, I got a video of the day of a dude pulling a fresh
0:23
brisket, a fresh pastrami brisket out at Cats and then
0:26
serving up and this guy sliced it like he's sliced a 1000
0:30
pastrami briskets before because.
0:31
Sure, he has he. Sliced 1000 pastrami briskets
0:34
before and just watching the expertise in this guy as he
0:37
sliced this thing up was fast and then the brisket looked I
0:40
mean it looked 10 out of. 10 Now you know I'm not eating pastrami
0:43
because I'm trying to be more healthy but I miss it.
0:44
Tell me the story again about the pastrami, only this time
0:47
till it's slower. Till it's slower and use a
0:49
deeper voice. Yeah.
0:50
Quiet, please. Hold on.
0:51
Let me turn the lights down. Yeah.
0:52
In 432. The Apple Company presents a
1:06
truly terrible podcast. Welcome to Nonsense Season 3,
1:08
episode 64. I'm Jeff Parker.
1:11
This is our take on the week's business, tech and entertainment
1:13
headlines. This time, Gemini leapfrogs.
1:16
Well, everybody. Oh great, now that it's good,
1:19
Google can discontinue it. Software glitch grounds 6000
1:22
planes worldwide. Fortunately, they were already
1:24
on the ground. How solar is working to keep
1:25
pace with America's growing energy thirst.
1:28
Like me, the Sun is a delightful ball of yes.
1:30
And Open AI declares Code Red as Google catches up in the AI
1:34
race. Altman was quoted as saying it's
1:36
hallucinating better than ours. We got a short week this week
1:39
given myself optimal and contagious state, but we'll be
1:41
back next week with more headlines in our big.
1:43
Story. It's called the TikTok virus,
1:45
you boomer. That doesn't even make sense.
1:46
It's World Wildlife Conservation Day, a critical reminder that
1:49
our planet's incredible biodiversity is under threat.
1:52
With 10s of thousands of species currently a risk of extinction
1:54
to human activities like poaching and habitat loss, this
1:57
day serves as a crucial call to action.
1:59
How can you make a difference? Educate yourself on endangered
2:02
species and the issues they face.
2:03
Support reputable organizations fighting wildlife crime.
2:06
Pledge to be a responsible consumer and boycott illegal
2:09
wildlife products. Our planet needs your
2:11
commitment. Nicely, the delicious.
2:13
How is your week going? You mean by two weeks?
2:15
It's two or three. How long has it been?
2:17
It's been a long time. I have intentionally not asked
2:20
you about anything you've been doing because I've wanted you to
2:23
say it for this. Yes.
2:24
And so I want to start with, I think the first thing you did
2:26
was F1. I did.
2:27
That's right. I was invited to the Las Vegas
2:29
Formula One Grand Prix as a guest of one of the teams and
2:32
their sponsors. It was lovely.
2:34
This is what, like a week and a half ago?
2:35
I'm sure it was amazing. It was Formula One is always a
2:37
spectacle, right? They always put on a wonderful
2:39
show for all the guests, everyone who's there when you're
2:42
in sort of the paddock, they they go a little extra above and
2:45
beyond. But what is interesting about
2:47
Vegas is that is the only race that Formula One owns.
2:51
So Liberty Media, who owns Formula One, actually owns that
2:54
race. That's all the other ones are
2:56
done. Oh, wow.
2:56
Like with a municipality or with some other race organizer owner.
3:00
Vegas is the only one that they own.
3:01
It's basically this giant marketing billboard for the
3:04
sport, right? They built this giant paddock
3:05
complex. It's 4 levels.
3:07
There's the food there was insane.
3:09
I don't know how to get more pictures of the food.
3:11
Probably. Does everybody wear fancy hats?
3:13
Does everybody have like you know, is there a special?
3:15
Drink. It's really interesting.
3:17
You you're referring to like the Kentucky Derby.
3:18
Yeah. You have folks in all sorts of
3:20
various dress there. Some people are dressed quite
3:22
nice. Some people are wearing like
3:23
track suits. You just don't know.
3:24
I mean, this is just like the state of a like look at the
3:26
first class cabin of a Delta flight and that's pretty much
3:29
what you're going to get OK at at the paddock.
3:31
But the axis is nuts. You know, you've got like
3:34
different rings of axis things you can get into.
3:36
I was super fortunate I got to spend some time with one of my
3:39
favorite drivers, David Coulthard, who is retired now
3:42
and does I think he does the Sky broadcast.
3:44
He is super funny. Turns out we have a mutual
3:47
friend and and David was just lovely to chat with.
3:49
He's a very funny guy. He made some great unprovoked
3:52
jokes at the expense of of other drivers.
3:55
Of course. I got the roof with him on that.
3:56
It was a blast. The race was mildly exciting
3:58
actually. I mean, Vegas isn't always the
4:00
most exciting race, at least until the checkered flag.
4:02
And then it got real. When if you don't if you follow
4:04
the race at all. But they they disqualified 2
4:07
McLaren's for flying a little too close to the sun.
4:09
Their their skid plate was worn too thin by.
4:12
Tell me what a skid block is. Explain that to me.
4:14
That's literally you're measuring 10mm and if you scrape
4:17
too much off in the in the course of the race, which they
4:19
were down to 9mm, you're just. Under under 9mm.
4:22
So you get this this block in the bottom of your car, it's
4:25
like a titanium block and. The titanium is to throw sparks.
4:28
Right, so it does throw sparks. That is what you're seeing when
4:30
you see the sparks on on the track.
4:32
And I, I think to start it's got to be 10mm ± .2mm that that,
4:38
that's the starting thickness that it has to be.
4:40
And then after the race it can be no less than 9mm.
4:43
Thick this is about the car bottoming out yes you don't want
4:45
the car bottoming out as more than a certain amount because
4:48
they had in like the mid 90s some serious accidents because
4:51
of the cars bottoming out I. Mean so.
4:52
So basically you want the car to be as low to the ground as
4:55
possible. You're going to get better
4:58
airflow, you get better downforce.
4:59
You want as little air into the car as possible, so teams will
5:02
run the cars as low to the ground as possible.
5:04
To counteract that they put on these these.
5:06
Blocks get block. Where they can basically tell
5:07
how much the card is scraping. Yeah Now it was complicated at
5:10
the race because qualifying happened under the wet and one
5:13
of the best formal one races you can ever go to is 1 where
5:16
qualifying happens in different conditions than the race because
5:18
you end up with a grid that is kind of upside down South.
5:21
Qualifying happened in the wet and the race happened in the
5:22
dry. Now McLaren.
5:25
Their argument back to the FIA was well, we didn't get to
5:27
actually test because it was wet out, sure, we didn't have the
5:30
opportunity to run, yada yada yada.
5:32
Which is a great argument, except for the fact that every
5:34
other team was in the exact same predicament.
5:36
They were saying their cars were purposing.
5:37
Yeah. Too much, Yes.
5:38
You hear that discussion? Yeah.
5:39
So what was nuts about all this, by the way, is when I left the
5:41
paddock, I stayed at the paddock until about midnight because as
5:44
it turns out, they actually don't want you to leave when the
5:46
race is over. Oh, sure, they want you to
5:47
consume all of their liquors and they don't have to drag it
5:50
somewhere else. So that was lovely.
5:51
When I left around midnight, there was a little bit of a of a
5:54
unhappy party going on over at the McLaren, I'm sure offices.
5:58
And I was like, oh, that's probably not good.
6:00
No one, no one is there for an hour sharing good information.
6:03
So anyway, it all it all went pear shaped for them and and
6:06
they were both cars were DQ D because of that mistake.
6:08
And it's really McLaren's own fault.
6:09
They just they ran the car too low.
6:11
Yeah, and that's what happened. And they should have done that
6:13
bad times. But F1 was great.
6:14
I strongly endorse it. Vegas is not my favorite circuit
6:17
on the track, but they do put on one heck of a show.
6:19
So if you can go and you can be in the Paddock Club, do it.
6:21
And it was a great time. I then came back to LA and got
6:24
to host Friendsgiving for a bunch of my my best buddy that
6:27
flew in from every corner of the country.
6:29
I gave them carte blanche. I like to see them all together
6:31
every year or two. I gave them carte blanche on
6:33
meat requests and I said whatever you want me to make,
6:35
I'll make you guys pick. And somehow they conned me into
6:38
making four different meats, 4 smoked, all barbecued, all
6:42
different genomes. I We had a fish, we had a pork,
6:46
we had a, we had a foul and we had a a.
6:48
Beat tell me about the fish, but it.
6:49
Was a great time. Ohh, The fish was good.
6:51
The fish was the salmon. I have a new salmon prep I have
6:52
to make for you 'cause it's, it's like 11 out of 10.
6:55
So. Oh.
6:55
Man, I'm looking forward to it. It's a little.
6:56
Sweet little savory. Anyway, then I took the whole
6:59
family to Salt Lake City and had Thanksgiving there with some
7:04
other friends of mine, some actually my racing teammates had
7:06
a couple great meals there in in Salt Lake.
7:08
I got to enjoy the suburbs and the.
7:09
City I love Salt Lake. It's a It's a lovely.
7:11
Town. What a wonderful city Salt Lake
7:13
is. It is.
7:13
Kind of a giant suburb. I mean, when you're downtown, it
7:15
just it, it's very kind of sleepy.
7:17
But it's delightful. It's.
7:18
Clean. It's wonderful.
7:19
Folks are all super nice. Yeah, a lot of soda shops.
7:21
Yeah, a lot of soda shops. I managed to convertly hide an
7:24
undisclosed number of rubber ducks in our friend's new home.
7:27
OK. And that is lovely because it's
7:29
the gift that just keeps on giving.
7:31
Are they discovering them as days go by?
7:33
How they? Are they are?
7:34
And the best part is they don't know what the upper bound is.
7:36
So I get text reports of like, oh, we got 35.
7:40
I'm like, oh, you're almost there.
7:41
And then they just keep blowing because you would expect it to
7:43
end on a round Number and they just keep blowing through all
7:45
the round numbers. So it's it's quite fun.
7:47
I strongly recommend to all the listeners of the show next time
7:50
you're visiting one of your friends or you're, you're just
7:52
over at your your buddy's house, buy some rubber ducks on Amazon
7:55
and just hide them and just see what happens.
7:56
Only good things gonna happen. It was lovely and now I'm here
7:59
in this Tyvek bubble trying to keep you from breathing on me.
8:01
I have been sick. That is my big claim to fame of
8:04
the last couple of weeks. Actually, I only got sick like a
8:06
couple days ago. Yeah, but the woman I am married
8:08
to gave to me this morning so that I could record this
8:11
program, some medication that she picked up on in Japan.
8:15
OK. She seems to prefer things she
8:17
can't understand. Of course.
8:19
And because that must work better for you than things you
8:22
can't understand. Yeah, but I am semi resourceful
8:24
and my phone has Google Translate on it and so I held up
8:27
the whatever that Google Lens thing is called and it turned
8:29
all of the Japanese into English.
8:31
Yeah. And basically it's Dayquil.
8:32
Sure. No, that that makes complete
8:34
sense. The bad news is you still have
8:36
all the symptoms. The good news is you had a three
8:39
hour erection, so you're taking the right stuff.
8:42
This is going really well. That's not what happened, but
8:44
sure. Really.
8:45
What's Japanese word for blue? It's a blue.
8:48
Yeah, I'm pretty sure. So basically I have I'm on
8:50
Dayquil but it seems to be seems to be working.
8:53
When I first met the woman that I am currently married to, she
8:56
told me when I was sick, like you and I took some some Dayquil
8:59
and she's like, you know, that's basically nothing.
9:01
Yeah. And I was like, what do you
9:01
mean? It's Dayquil?
9:02
I take it to work. She's like, it's it's
9:03
acetaminophen. It's just Tylenol.
9:05
Yeah. And and I was like.
9:05
Well, there's other things in it too.
9:07
Yeah, there are. That's exactly what I said to
9:08
her. She's like, it's Tylenol.
9:09
Yeah. And I've come to really realize
9:10
it's basically like I take a now, I take a a Tylenol or two
9:14
and a Sudafed and I'm happy days.
9:15
And then I can dose them separately and not together.
9:17
So. Take massive amounts of zinc.
9:19
If you within 24 hours of finding out you have cold
9:21
symptoms and take a bunch of zinc, that's supposed to help.
9:24
Literally. You have to take so much of it
9:25
though, so you might as well just eat zinc nails.
9:27
But it requires so much zinc. There, yeah, but also there's
9:31
something like you can get too much zinc and that's bad for
9:33
you. I take vitamin borderline.
9:35
You're you're you're threading a needle there for sure.
9:38
Yeah. And any less zinc than that does
9:39
no good. Yeah, I mean, I have family
9:41
members that take take the nose spray, the zinc nose spray,
9:44
which is known to to cause temporary to permanent loss of
9:47
smell. Yeah, don't.
9:48
And I'm like, what are you doing?
9:50
This sounds terrible. I still take vitamin C before I
9:53
travel just as like you know, one I get the chewables and like
9:55
where they. Prophylactically.
9:56
Sure, yeah. Prophylactically, again, the
9:58
woman I'm I'm currently married to likes to tell me that there's
10:01
no evidence that it's effective. And I'm like, but it's not
10:05
hurting me, right? She's like, well, there's no
10:06
evidence of that either. And I was like, all right, I'm
10:08
gonna just chew these three vitamins.
10:09
Yeah, that's not she's right. She's 100%.
10:11
Right. No, she's totally right.
10:12
Yeah. And I'm just like, well, this is
10:13
what I get from marrying into science.
10:14
Yeah. Oh man, let me just tell you,
10:16
the woman you're currently married to is the only woman
10:18
you've ever been married to and is the only woman you will ever
10:21
be married to because no one else is putting up with you.
10:23
No. One else has the stigmatism and
10:25
cataract combination that she has.
10:27
So yes, there's nowhere else we're going.
10:29
And it's amazing because she's an incredibly smart woman and
10:32
she's. Still picked you.
10:33
The entire time we're at our friends in Salt Lake, they kept
10:36
asking they're like why are you married to him again?
10:38
Like what exactly? Why is it that you do that
10:40
exactly but then like to send them pictures?
10:42
Actually happened when I came back home.
10:44
I then made an entire half sheet pan of this stuff called
10:47
Millionaire's Bacon and I was like, This is why she's married.
10:50
What's millionaire's bacon? Oh, you don't.
10:51
Know millionaire's bacon is huh. I should send you some.
10:53
You take thick cut bacon, Yeah. And you cover it with.
10:56
I make it with a little cayenne pepper and then I put black
10:59
pepper on it and then you encrust it.
11:01
I mean encrust it in brown sugar.
11:02
Oh yeah, and. Then I sprinkle red chili flakes
11:05
on top and you bake it really slow and you get this chewy,
11:08
savory, sweet, spicy amazingness.
11:10
Sir, I eat it plain. I put it in my old fashions.
11:13
It's it's lovely. It's great for millionaires who
11:15
want to be dead. There's, yeah, not one thing in
11:17
there. Yeah, that should be going into
11:18
your body, but OK. The other name was Heart Attack
11:20
Bacon, but the Millionaire's Bacon seems to sell it a little
11:22
better, so we I'm. Sure, I'm sure.
11:24
Yeah. The kids came to town, huh?
11:26
My son and his girlfriend, and she's from Australia, the
11:29
western side of Australia. And she surprised him.
11:32
That's awesome. So we went and picked him up at
11:33
the airport. He slid into the back seat of
11:36
the SUV. Yeah.
11:37
And all of a sudden, these arms came around him from behind,
11:40
from the way back. And that look on in his face,
11:42
the complete shock. I saw the video, he yeah he seg
11:45
salted for a good second or two. Absolutely delightful.
11:48
Yeah, no idea was happening. Yeah, and but the two of them
11:50
are just the 2. You could not ask for more
11:53
delightful humans to be around you, especially at the holidays.
11:56
So, so incredibly cool. Did.
11:57
She fully understand the importance and relevance of
11:59
Thanksgiving. Did you do?
12:01
Did like one of you dress up as some Pilgrims and one of you
12:03
dress up as some some Native Americans?
12:05
And the Native Americans had the land, and we took the.
12:06
Beater yeah, I mean, look, the Australians did the same thing.
12:09
It's not like they don't have their own original.
12:11
Stories and sure. I'm sure it would feel very
12:12
familiar to her. Remember what you guys did in
12:14
Tasmania? It was like that, except we
12:16
didn't kill them all. We just gave them casinos.
12:17
Oh. We kind of did actually kill
12:19
them, yeah. No, I know.
12:20
We actually killed off the Buffalo almost to the point of
12:23
extinction so that we can starve.
12:25
Them. Yeah, no, it wasn't the best
12:26
time. It really wasn't the best time.
12:28
We're a lovely. People, what was the, what was
12:29
the, what's the line? We didn't cross the border.
12:32
The border crossed us, I think is the line the Native Americans
12:34
use. And you're like, Oh yeah, yeah,
12:36
it did. Sorry, we're just renting this
12:37
from you for free forever. I'm related to Indians.
12:39
I managed to not overeat on Thanksgiving, which I'm.
12:41
Sorry, not related to Indians, we just traveled over to India.
12:44
You're Native Americans. We called them Indians.
12:45
I mean, I didn't invent. That he used to call them
12:47
Indians, We used to call them Orientals.
12:48
We don't say that anymore. Either Didn't Columbus call them
12:51
Indians? And he.
12:52
Yeah, he thought, he thought he was in it.
12:54
Yes, right. That's where that comes.
12:55
But he's allowed to be wrong. I don't know if Columbus is
12:58
allowed to be wrong or not. Here's the thing I never
13:00
understood. Yeah, Columbus comes over.
13:01
Here we're not doing the news are.
13:02
We Why do you just look at the globe?
13:04
Why do you just look at the globe?
13:05
Before he came over, he would have seen that there was an
13:06
entire scene in it. Between thing was gonna block
13:09
him. Yeah, never made sense to me
13:10
where I was just like I understand you leave.
13:12
Yeah, I'm getting an electric leaf blower.
13:13
That's the other big news in my life.
13:15
I'd love we are the saddest old men.
13:17
I don't. Even know.
13:18
No no, this is so cool. Modern electric leaf blowers are
13:21
the coolest thing. What do you mean?
13:22
You're getting 1. You can just waddle over to Home
13:23
Depot and buy 1 today. No, it's being delivered.
13:25
I'm not leaving the house. I'm sick.
13:26
I'm not. I'm not going.
13:27
It's like it's literally. It's as powerful as a gas leaf
13:30
blower and it's almost silent. It's easier to get a monitor.
13:33
Carries amazing weapon for normal people than for you to
13:35
get a leaf blower. I don't understand you.
13:37
You ordered a leaf blower for Is it handmade for you?
13:38
Is it hand made out of Is it handmade for you?
13:40
Is it made out of made for you? Is it made out of Swarski
13:41
crystals? Crystal Yeah, no, it's the cool
13:43
thing about it is it's this company ego and they literally
13:46
are what they're selling is battery.
13:47
It's all battery. They have like 90 different
13:48
devices that all take the same the same batteries.
13:51
And yeah, the batteries if you buy them alone are like more
13:53
expensive than buying them with the device, whatever the connect
13:55
to. By the way, there's a name for
13:56
this, they call it shucking. A lot of people will buy, and
13:58
I've been one of them 100% where you buy the the tool with the
14:01
battery just to get the battery and the tool you just give to
14:03
somebody or absolutely 100% list on Craigslist or something.
14:06
The the trimmer, all the other things that you can get that's
14:08
yeah. Anyway, gas powered leaf blowers
14:11
were banned in my neighborhood. Yeah, in 1978, in 19. 78 they
14:16
banned them. Yeah, there's no one here who's
14:18
not using a gas powered leaf or I'll be the first one who has an
14:21
electric leaf blower. That's the thing.
14:22
They didn't tell anybody apparently, when they banned
14:24
them. Because every time I come,
14:25
there's this cool thing, and this cool thing has been around
14:27
since 1978, where you narc on your neighbors, where you report
14:31
somebody. Using and.
14:32
Apparently nobody does that because everyone here is using
14:35
gas leaf blower. Sure.
14:36
I'm not even sure anyone knows. You're not supposed to use a gas
14:39
leaf blower. I can just see you standing at
14:40
your kitchen window in a row, but 6:30 in the morning making
14:44
notes of all your neighbors that are using gas.
14:45
Oh. No, no, no.
14:46
I'm going to have that. I'm going to have.
14:47
That or The Smiths. Number on speed dial?
14:50
Totally, totally. I love it.
14:52
And the last thing I want to mention is the 2025 Big 10
14:55
Championship game is IU versus Ohio State.
14:58
It's on Saturday, December 6th, 2025 at 8:00 PM Eastern on Fox.
15:02
It is going to be super fun. Go Indiana.
15:05
There is, just to be clear here about where I stand on this.
15:08
There is no number of points that IU could score above and
15:13
beyond Ohio State score. That would be enough.
15:14
There's no. Why is that?
15:15
Why do you say that? Because I, I just have to, I
15:17
have to hate Ohio State, the Ohio State, the Ohio State, the
15:20
Ohio State. I hope loses the the game.
15:22
I hope they lose the game by the largest margin.
15:24
Can I tell you something about the Ohio State?
15:26
Cause I've watched them play just because they're they're so
15:29
good. And I wanted to see cause sure,
15:31
this was likely going to be the matchup.
15:32
Yeah. Yeah.
15:33
So I've watched a lot of Ohio State games.
15:34
So sorry they're not in the same league.
15:36
Yeah. They play like an NFL team.
15:37
They play like an NFL team. It's it's the most amazing thing
15:40
in in college football I've ever seen.
15:42
Yeah. Well, Speaking of of college
15:44
football, did you see our our old, old old coach now left the
15:49
winning program that he rebooted to go to the program I was.
15:52
Like Lane. What are you doing, buddy?
15:53
He's talking about Lane Kiff and leaving Ole Miss and pissing
15:55
them off big time as he goes to LSU.
15:57
They're about to go to a bowl. Game and not a great departure.
16:00
And he announces it before the bowl game and it's like, what?
16:02
Wait, so you're gonna come? It was come on.
16:04
It was just off. And his whole press conference
16:05
was like, I don't even know how much money.
16:07
I just want to go to LSU, which might be true that your.
16:10
Agent knows. Oh yeah, of course.
16:12
Your agent who's telling you to go no.
16:14
Yeah, yeah, of course, but I I could believe him on that.
16:16
He wants to go to the program. I I get it.
16:18
There's just a tactful way to do it.
16:19
And if, if LSU is not willing to wait, there's nothing he wants
16:22
to go. He just wants more money.
16:23
I mean, there's no reason why he couldn't do the same exact thing
16:26
and old miss, let's use a different program.
16:28
I mean, I love Ole Miss and, and, and one of my good buddies
16:31
is, is a huge Ole Miss fan, went there and his whole family went
16:33
there, yadda, yadda, yadda. However, LSU is just a you know,
16:36
it's a it's a well established program that will likely ascend
16:39
back to the top. But he could've done the same
16:41
with old Miss. It is nothing thing to do with
16:42
that these days with the transfer portal.
16:44
It is all about who's the coach who can talk you into coming to
16:47
their team. Who can actually?
16:48
Sure. Kurt Zignetti.
16:49
I'm gonna. I've said his name ad nauseam on
16:51
this show. I know Indiana had no football
16:53
program. Indiana was not thought of as a
16:55
football school. They could win the Big 10
16:57
Championship and they still won't be thought of as a
16:59
football. Oh yeah, it's amazing in the
17:00
rankings how low they rank because because historically
17:03
they're not thought of as a football.
17:04
School. You know who else is not thought
17:06
of as a football school? Well.
17:06
Now USC. USC.
17:09
I know. Like it's just comical.
17:12
It's just like I, you're hovering around in 16th place.
17:14
I have a question, though. This, this, this bit we're
17:17
talking about here, the Lane Kiffin and IU and all this,
17:19
would this be considered tech business or entertainment?
17:21
What, which bucket would we put that in?
17:23
Oh. That's gotta be entertainment.
17:24
We've done Formula One, cooking BBQ.
17:28
Kind of all over the place. College sports.
17:29
I don't even think this show's gonna fit into the customary 22
17:32
minutes, no format. I think we've blown past all.
17:35
Of course, but you're sick, so though I'm I'm fine with.
17:37
This when my kid was interested in going to IU, when he first
17:39
had a vague inkling the IU might be a fun place to go to.
17:42
Yeah. I said you're gonna love the
17:44
campus. It's the most beautiful campus
17:46
in the world. Yeah.
17:47
And it really is. I mean, they shoot movies there
17:48
because it is stunningly gorgeous.
17:50
I said it has one of the best business schools in the world
17:53
there. If you go to the Business School
17:54
there, you will not go wrong. Every one of my friends is the
17:56
CEO. They all, when they get resumes
17:58
from IU, they go to the top of the stack.
18:00
Cause those guys are great. Fantastic.
18:02
Yep. And I said, but the thing you're
18:03
not gonna have unlike, say, Michigan, Yeah, it's not a
18:05
football school, No football, it's not a football school.
18:07
You're not gonna and you're missing out 'cause that's a
18:09
really, really fun thing. I was right on 2 out of the
18:11
three things. Two out of three.
18:13
Yeah, well, there's still time for those to flip.
18:16
Better than when I went to school at SC and they were
18:18
terrible. There weren't even 5. 100 Oh no,
18:19
you win. And it was delightful.
18:21
When I first got to USC, we had cheated so much we were not even
18:25
allowed to be on TV. Do you know how hard it is to
18:27
recruit players when you can't be on TVI mean?
18:30
Here's the worst part. We're not even very good at
18:32
cheating at SC like we're we're OK.
18:34
About it we always get caught eventually I.
18:36
Understand the best teams at cheating are the ones that you
18:39
don't know Cheat like IU might be the best school at cheating
18:42
at football we just. Don't know what cheating is
18:44
there. Now you're gonna pay 6,000,000
18:46
bucks for a player. And we come back from the break,
18:49
Seahawks versus Patriots. Is that the next Super Bowl?
18:51
Let's get to our headlines, he said.
18:54
I. Don't even know what we're doing
18:55
anymore. I just haven't seen you in so
18:56
long as I'm trying to just. Care about our lives.
18:59
Anybody care about this? They just want to hear about our
19:01
days. Is the headlines the least
19:02
interesting part of it? No, they said landlines this
19:04
week are. Really, we just did the least
19:06
interesting. Part Listen to this Gemini's AI
19:08
has leapfrogged everyone. Oh yeah, no, that's the I'm
19:11
saying the part of this is. Fascinating.
19:13
Yeah, the release of Gemini 3 Pro is not just in their
19:15
incremental update, it represents a major inflection
19:17
point in the race towards artificial general intelligence.
19:20
Google DeepMind has engineered a new foundational model that
19:23
pushes the boundaries of reasoning, multi modality and
19:26
agentic performance, setting fresh state-of-the-art
19:28
benchmarks across the board. Unlike previous models that
19:31
often use separate encoders to process different data types,
19:34
text, image, video, audio, code before stitching the results
19:38
together, Gemini 3 Pro processes all these modalities natively
19:41
within a single transformer stack.
19:43
I mean, this did seem like kind of the obvious place we would
19:46
land. I suspect we'll go back to
19:47
specialty and and merge it back into generalization.
19:50
But yes, this is, this is sort of what we, yeah, this is sort
19:53
of what we expect. This blows away anything open AI
19:55
has. This all blows away anything
19:57
that Anthropic has. This blows away Claude.
19:59
Yeah. Have you played with three
20:00
pearls? No, not yet.
20:01
I've read a bit about it. I haven't had time if I
20:03
mentioned it earlier, but I was making four different kinds of
20:05
meats and at Formula One getting drunk.
20:07
Sure, this is super impressive. I mean, I'm not I, I wasn't
20:10
willing to bet against Google. Then you still have a whole
20:12
bunch of smart engineers there for sure.
20:14
And I think they they correctly leaned into this problem and
20:16
didn't just be like, oh, AI is a fad.
20:18
We're going to keep doing search and we're gonna.
20:20
Know they've had the researchers on staff for years they've.
20:22
Got research, they've got engineering, they've got
20:24
software, they've got infrastructure they can deploy
20:26
on top of. There's a lot of stuff they did
20:27
not have to build that they already had.
20:29
They could sort of stand on the shoulders.
20:30
And they're really organized, and they've also begun
20:32
monetizing it already. If you go to Google and you get
20:33
that little AI blurb at the top of your Google search results,
20:36
Yeah, a lot of Times Now it's sponsored.
20:38
I'm most excited to play with their their code bench which is
20:42
which is pretty interesting for for problem solving.
20:44
I've heard really good things about.
20:45
I've written code using Gemini. Yeah, it works really well.
20:47
Yeah, of course. At some point, I don't know how
20:49
you're gonna make it work better.
20:50
At some point you do reach the ceiling of 'cause I can read the
20:53
code and I can walk through it and go, how would I do this
20:54
better as a human? What would I?
20:56
You're still. Coding though you're 1 maybe two
20:59
big layers above where you and I used to work, I think you still
21:02
have another layer or two to go of real of real improvements
21:05
where you're just sketching out what it is you want to do.
21:08
Not at a programming level, but at like a, like an interface
21:10
level, like you're just. Still have to tell it the logic
21:12
when you want to do this and you know when I do that, when this
21:15
and this happens, do this. You still have to sketch out the
21:17
logic. Yeah, I I think it will get
21:19
smart about inferring. You describe the problem and it
21:21
will start inferring more of those things like there is room
21:24
to go to make this better. I'm sure there's it just at some
21:26
point if it starts to feel like, wow, this is really good.
21:28
We. Talked about this before on this
21:29
show. We're we're fast approaching a
21:31
world where everyone can make software.
21:32
I still don't know about that because I I do think you still
21:35
need to be able to sketch out the logic and that's part of
21:38
what the engineer. Think, I think I think you're.
21:40
Just the actual translating that into code is.
21:42
That's the only part that really is.
21:43
Going, I'm not saying it'll solve every problem, but the
21:45
vast majority of problems that people face could be solved
21:49
through a, you know, agentic implementation That someone
21:52
could just say, I want all my contacts in my phone to sync
21:54
with the cloud and automatically give me their birth dates and
21:56
pictures, and then it just does it and that's it.
21:58
And like, are you writing software?
21:59
Like, no, not really. You're solving problems.
22:01
You don't care how the sausage is made underneath.
22:02
It the introduction of an optional Deep Think mode further
22:05
enhances performance on the hardest challenges using
22:08
parallel thinking and reinforcement learning technique
22:10
to significantly improve accuracy, though at a higher
22:12
computational cost. This new architecture solidifies
22:15
Gemini 3 Pro as a versatile and potent tool for the next
22:17
generation of AI applications. And this is where I get grumpy
22:20
because they can scale this up, right?
22:23
They can scale this out horizontally by adding more
22:25
processing and parallel processing, which is awesome.
22:27
By the way, they write their own chips.
22:29
They create their own chips as well.
22:30
Yeah, their own AI chips. Like you said, write their own
22:32
chips. That's funny, you're a software
22:34
dork drawing them but while they're scaling parallel, right?
22:36
Just throwing more computational power at this, which is lovely.
22:39
Meanwhile parallel processing to me is is a is a a future vision
22:43
that I I can't even achieve serial processing anymore.
22:46
Oh for sure. Every week the turbo button just
22:48
gets turned off again on my brain.
22:50
I haven't had a turbo button in years.
22:51
And now I can barely serial process, I can barely get from
22:55
the beginning to the end. When I was younger I was much
22:57
more capable of multitasking. Oh yeah me too.
23:00
That has gone away completely. Can you still task?
23:03
Yeah, Oh, I can, I can, I can microfocus all day long.
23:06
The house can be burning down around me.
23:07
I don't notice 'cause I'm doing some tasks that is is involving
23:10
my entire brain. Yeah, absolutely.
23:11
But the multitasking thing is completely gone the.
23:13
Concept of time is just completely lost upon me now.
23:17
Like I can go quote do things or micro focus apparently what we
23:20
call it now and like 6 hours will disappear and I'm like what
23:23
did I get done? Oh yeah, and the answer is.
23:25
Nothing. Software glitch grounds 6000
23:27
planes worldwide. Being in a software.
23:30
But aircraft manufacturer Airbus issued an urgent safety alert
23:33
for its range of best selling A320 family single aisle
23:36
aircraft last Friday. There were very real fears that
23:39
the emergency fix required to keep them airworthy could lead
23:42
to a mass worldwide flight disruption.
23:44
By the way, we had one that worldwide mass flight
23:47
disruption. Yeah, the weather in Chicago.
23:49
But this particular happened during the middle of the busiest
23:52
travel time in the US. Of course, 'cause that's when
23:54
these things happen. Yeah.
23:55
And as it turns out, you can't really delay the fix.
23:59
So Airbus suggested that these planes all be updated before
24:03
their next routine flight, which means right now means like,
24:06
yeah, don't pull the plane out of the air, but if it's already
24:08
on the ground, fix it. And this is a really nuts story.
24:10
So this affected, there's about, I think, 11,000 or so, a three
24:14
20s that are currently flying around the planet, 6000 of them.
24:18
We're going to need this update. And this has been reported on
24:21
everywhere. Bunch of folks have talked about
24:22
it. What I think is interesting is
24:24
what Airbus said and what we think has actually happened.
24:26
Yeah. So this all stems from a flight
24:28
in late October, October 30th from Cancun to Newark that had a
24:33
sudden drop in altitude of about only about 100 feet over 7
24:37
seconds. Sure, sure, but it was enough
24:39
that 15 people or so on the plane were injured.
24:41
Like lacerations, bruces, things like.
24:43
That all the people who weren't seat belted in.
24:45
Yeah, when you fly, yeah. If you're not absolutely needing
24:48
to not be seat belted in, for the love of all things smart,
24:52
seat belt yourself in. Seat belt yourself in.
24:53
I mean that that is the the biggest take away for for
24:57
passengers for sure. This issue though was pretty
25:00
nuts. They'd end up landing in Tampa.
25:02
Folks were treated the hospital and and were OK.
25:04
Scraped off the ceiling. They were scraped off the
25:06
ceiling. JetBlue grounded that plane and
25:09
sort of handed it over to Airbus to try to understand the root
25:12
cause of the issue. Figure out what the problem is.
25:14
And what Airbus said was that there was some software that
25:18
could be affected by by solar. Solar radiation.
25:22
Yeah, they discovered that intense solar radiation could
25:24
have corrupted data in one of the control computers and that
25:28
triggered the sudden pitch down move.
25:29
Now that's interesting that that was pretty much all that they
25:32
said. Their fix was not a software
25:36
patch because that was a rollback.
25:37
Quite some time was a rollback. They went back to the previous
25:39
version. So many of these do they?
25:41
Apply this rollback with a floppy disk on each plane so
25:43
they. Actually don't.
25:44
I looked at this. They there are some planes,
25:46
there are 7 four sevens that still have 3 1/2 inch floppies.
25:49
These do not. The most of these airbuses that
25:51
were affected were running L104, which was the most recent
25:55
software update. They rolled it back to 103.
25:57
The update is done via a tablet computer.
25:59
Sort of looks like a giant speaking spell.
26:01
If you remember the speaking spell from the 80s, it looks
26:03
like that. Oh my God, I want it to be
26:04
actually from a real speaking spell.
26:06
It looks that's exactly how I want the update. 100% looks like
26:09
a speaking spell. And then they have this massive
26:11
avionics connector that screws in.
26:13
And of course because I'm I'm an aviation and computer nerd, I
26:16
had to look up like, can I buy one of these computers?
26:19
And it turns out you can't totally.
26:20
They sell for about 25 to 30 grand if you actually want to
26:23
buy. One cells, the cables are about
26:24
two grand. But these things are all super
26:26
well vetted. It's running, by the way.
26:27
It's running Windows 2000, I believe, which is of course it
26:30
is. Don't don't think about that for
26:31
too long. The problem, you know, they
26:33
blamed it on solar radiation, which yes, but the but when I
26:37
first saw this, I was like, wait a minute, the they're supposed
26:39
to correct for this, right? They have redundant systems.
26:41
If their systems don't agree, they're supposed to alert the
26:43
pilot. They also have code checks so
26:45
that they should know if the bits have flipped.
26:47
Solar radiation can cause software can cause data to
26:51
change state. And this is a known problem.
26:53
This is not a new problem. So it felt very odd to me that
26:57
they were just saying, well, solar radiation, what can you
26:59
do? It's like no, you guys have
27:00
solved this problem in the past. The.
27:01
Space program has to deal with this all the time.
27:04
You launch things into space, you're dealing with serious
27:06
quantity radiation. So it appears that there were
27:08
two features in L104 that they had to rollback.
27:12
And the assumption from from folks that are much smarter
27:15
about this stuff than me was that they relaxed sort of a
27:19
crucial, what they would call sanity check.
27:20
And when a solar particle would flip a bit in in the cache, it
27:24
could turn what would be a a typical pitch, let's say A5
27:27
degree pitch into something like 1000 degrees, right?
27:30
Which is, which is a nonsensical number.
27:32
Drop 5000. Yeah.
27:33
And then it would just, it would just pitch this thing down and
27:35
go into a bad place the. Earth is that the bad place?
27:37
The. Bad place would be the Earth yes
27:39
the bad place would be the earth at a high rate of speed.
27:40
So that's why they're they're reverting back to to L1O3
27:44
because it's a known stable implementation.
27:46
I suspect look at this fixed very quickly.
27:48
Some folks have attributed as their like 737 Max moment.
27:51
I do not believe it is that what I think the other take away
27:54
beyond putting on your seat belt that is most interesting about
27:56
this is how fast they resolve the issue.
27:59
In less than in a month, they figured out the root 'cause they
28:01
didn't try to to pull, you know, wool over anyone's eyes.
28:05
They said oh. No, no, never do that.
28:06
This is a problem. This is the fix, right?
28:08
Because you are dealing with people's lives.
28:09
I'm very pleased that we still have that.
28:12
That mentality, yes. That mentality within the
28:14
aviation space, especially the commercial aviation space.
28:17
So this is pretty nuts though, but it appears that you you had
28:19
some software that was missed. And this is where I think about,
28:21
we were just talking about earlier.
28:22
I think about like agentic coding and I'm a fan of agentic
28:25
coding, especially if you want to sync your contacts.
28:27
The other thing, the other stuff over there thinking about like
28:30
people's lives at risk. Oh man, what does that look I.
28:32
Don't want a human's eyes to look through that.
28:34
Well, yeah, but then you think about like, autonomous driving,
28:37
right? Autonomous driving, yeah, That
28:38
was coded by a human, but how it operates isn't procedural code.
28:42
No, the future is very. It feels very much like when we
28:45
handed over control from a human to a computer.
28:48
When you went from pilots that flew planes that had yokes that
28:51
were attached via cables to ones that were attached via
28:53
computers, we handed over control to the computer.
28:55
AI is so different. I mean, I'm not saying the AI
28:57
thing doesn't work, obviously the way of course.
29:00
No, but my point is there were people that were older than us,
29:02
typically by age at that time, that were like, no, no, no, I
29:05
know cables because I know how to check them.
29:07
I know how to make sure that they're tight.
29:08
Yeah. These new computer things, I
29:09
don't know how they work, right. So there's a whole bunch of
29:11
people that didn't trust the computers for sure.
29:13
Those folks are probably all dead now.
29:15
Sure. My point is we could be those
29:17
folks, right? We could be those folks that are
29:19
looking at this going, Oh no, no, I don't trust the AI.
29:21
We're saying like, we don't trust the AI code.
29:23
It's like, well, at some point we're probably going to.
29:25
I'm not afraid of making those transitions cautiously.
29:27
Oh yeah, we should do it cautiously.
29:29
Absolutely. But what the The thing that I
29:30
wonder is at what point do you get to like deterministic
29:33
states, Right? You think about a CPU A/C PU is
29:36
pretty darn deterministic, right?
29:37
They do make errors, but it's very low.
29:40
And we have systems in place to catch that.
29:41
Sure. Do they make more errors or less
29:43
errors than a gentic code? My hunch is they make less.
29:46
Yeah. Probably by 345 orders of
29:48
magnitude. So until we figure out how to
29:50
catch those things, are we willing to accept three or four
29:52
or five more magnitudes more errors?
29:55
Man, that sounds like a really bad idea when it comes to
29:58
people's lives, but we do. Catch them.
30:00
I mean, you look at look at the Waymo thing.
30:01
How many, how many fewer accidents Waymo has than than
30:04
actual human drivers? Yeah, for sure.
30:06
You look at that and you go, wow, none of us should be
30:08
driving our own cars anymore. Well, I'm still gonna drive my
30:10
own car, but it's fine you. I know you are, but every cute
30:12
little computer the Waymo is very smart about avoiding you.
30:15
Oh my God, CJS on the road. Stay away from all those
30:17
streets. Take away Airbus I think did the
30:19
right thing on this. I don't think this is a giant
30:20
black eye for them. I think this is actually a good
30:22
thing. No, of course not.
30:22
There were a couple planes they had actually changed hardware
30:24
in, but Airbus thought this would be a couple hours per
30:27
plane. It turns out on average it was
30:28
closer to 15 minutes in most cases, which is great.
30:31
Yeah, there were a very small number of planes that required a
30:33
hardware change. Why would that be?
30:35
Normally you do the hardware change to go up inversion, not
30:38
down. Yeah.
30:39
Well, you go down Inversion, you'd think the hardware would
30:40
work, yeah. I think it might be for the way
30:42
that it was updated. I'm not entirely sure.
30:43
I haven't dug in deep on that, but it appears that most of
30:46
this, at least a time of recording, has been resolved
30:49
globally. Most planes have been rolled
30:50
back to to 103. You're safe to fly an Airbus
30:52
planes. Nothing there has gotten worse.
30:55
It is worth just thinking about issues with traveling TSA.
30:58
The Transportation Security Administration has announced
31:00
this week that all passengers that do not present an
31:03
acceptable form of ID that and still want to fly are gonna have
31:07
to pay a $45.00 fee per boarding.
31:09
And by acceptable form of ID being a real ID or passport or
31:12
passport. DHS something that was issued
31:14
that that's allowed to fly now the the TS as numbers on this
31:17
are that around 94% of people that are currently flying have a
31:21
valid form of ID. So we're talking about a very
31:22
small number of Flyers. I'm actually glad that they're.
31:25
Doing do you have a real ID? I've got my real estate ID, I've
31:27
got my passport. Those are all acceptable forms
31:29
of yeah of travel. You should absolutely get a real
31:32
ID or passport or passport card to travel with.
31:34
All you're doing is slowing it down if you don't have that, and
31:36
it's not an unreasonable amount of.
31:38
Of work. Well, apparently I can just hand
31:40
over 45 bucks and then you, you don't even know 45 bucks.
31:43
You don't even need to know who I am.
31:44
You have to verify. Me 40 no, 45 bucks is to verify
31:48
you using their their special system.
31:50
I'm putting that in quotes. Yeah, of course.
31:51
Now for 60 bucks on top of the 45, you can be whoever you want.
31:55
You can just give them the name and you can say I would like to.
31:58
Be that feels like that's it for 45 bucks.
32:00
I'm bribing Carl at TSA to let me get through.
32:03
No, they have an identity system supposed to look you up to get
32:06
the same level of check. They're, they're putting in a
32:08
speed bump on this, right? They're, they're putting in a
32:10
tax for folks that don't oblige and I think that's the right
32:13
thing to do. So I'm I'm a fan of this one.
32:15
Solar boom nearly neutralizes rising US Power demand the US
32:19
power grid has entered a new kind of energy arms race as
32:22
electricity demand surges, fueled by everything from AI
32:25
driven data centers to a boom in electric vehicles, many fret
32:28
about the future of the grid. But a quiet revolutionary force
32:31
is rising to meet the challenge, Solar energy.
32:34
Recent data shows that the sheer scale of new solar deployment in
32:38
the US is now growing at a rate nearly equal to the overall
32:41
increase in national energy consumption.
32:43
We need a sound effects board right here.
32:44
There should be applause right here.
32:46
Applesauce. Yeah, this is great and all.
32:48
However, what I've started doing is, you know, I've been on this
32:50
mission to build like a new daily driving computer, like a,
32:53
you know, arch or whatever computer.
32:54
I'm only buying gas powered computers.
32:56
Gas powered. All 2 stroke gas powered
32:58
computers. Yeah.
32:58
This way I don't have any dependency on the grid.
33:00
So of course I just have to go start up my computer in the
33:02
morning. It says right here the gas leaf
33:04
blowers are illegal, but says nothing about gas computers.
33:06
So this is interesting. This, this solar power
33:09
generation, it doesn't really tell the whole story.
33:11
You've got a couple things here that are missing.
33:12
This is only talking about grid level generation.
33:15
You still have an increase in solar at the consumer level that
33:18
is much harder to track and, and understand.
33:20
The other part of the story that you're not seeing is while solar
33:23
energy is, is catching up, which is great.
33:25
And our largest producer of energy in the US is natural gas.
33:29
Coal is where we've been filling in the gap currently, which
33:32
really surprised me. So we're shoveling more coal to
33:35
scale this up to meet demand, which is not great.
33:38
There's a decent hydro, but that's changing extremely
33:40
slowly. Wind is not getting deployed as
33:42
quickly as it was. Solar is where this big push has
33:45
has been put in place. You want to make a great
33:46
investment, not even a very big investment.
33:49
If you want to make a great investment and get a great
33:50
return off of it, buy solar panels for your roof.
33:53
Yeah, I don't think about that. Did you do the?
33:54
Cost of electricity will just keep going up and up and up.
33:58
There's no end insight. Solar panels, you will pay a
34:01
finite amount and you will get that amount of energy, yeah,
34:04
every single month for no additional cost.
34:06
It's a yeah, amazing return. Solar panels.
34:08
Future. My problem is I've got Spanish
34:10
child and no one will install the on top of Spanish tile.
34:12
I've seen it done on Spanish tile before.
34:13
Really. No one.
34:14
Will do it. You're seeing an illusion where
34:16
they're like taking off the roof and they're completely putting.
34:18
The roof around or something? Exactly.
34:20
Yeah, Well, that's gross. Open AI declares Code red as
34:23
Google's AI blitz closes the gap Open AI CEO Sam Altman has
34:27
reportedly declared a code red, urgently instructing staff to
34:29
improve its flagship product ChatGPT, as the startup
34:32
significant lead in the AI race is quickly eroding.
34:35
I think it's gone, I think. I don't think it's significantly
34:37
eroding. I think it's over.
34:37
Competitors, most notably Google, are closing in,
34:40
indicating a major election point for open AI.
34:42
According to a memo, Altman is temporary, delaying several key
34:45
initiatives, including ads, shopping agents, and the
34:47
personal assistant Pulse, to focus all resources on enhancing
34:51
ChatGPT score performance. The goal is to boost speed,
34:54
reliability, personalization, and its ability to answer more
34:57
complex questions. The new urgency involves daily
35:00
development calls and temporary team transfers to accelerate the
35:03
process. I mean, I think.
35:04
Look, I think it's good if this is the what's necessary for
35:06
them. They're doing a quick pivot.
35:07
Don't keep doing the same thing that you thought you should be
35:09
doing. All you people who thought we
35:10
were going to monetize this, no, we're not.
35:12
Now we just have to make it work.
35:13
Better. I mean, that does feel like part
35:15
of the story too, right? When they're like, hey, you said
35:16
you're going to be making money in 20-30.
35:18
Like, oh, no, we meant 24. Exactly.
35:20
Yeah, you have to carry the one. The company's 10 years old, and
35:22
they've never come anywhere near making even vaguely a profit.
35:26
Yeah, I know you love to say that, but that that's, I think
35:28
that's unfair to position that with because it's true.
35:30
Well, it is true, but you had to start somewhere, right?
35:32
It did research for a long time to figure out how this thing
35:35
works. Ignore the fact that Google has
35:36
been doing this for literally decades and has never expected
35:40
it to return. Earn a cent.
35:42
Yeah, because they can take on these long projects 'cause they
35:44
have other things that are so profitable they can take on, you
35:47
know, self driving. They you're never gonna get self
35:49
driving in a decade. Yeah, that's a multi decade
35:51
course. Very few companies can take
35:53
those things. On but I would also say
35:55
counterpoint, Google didn't put as many eggs into this basket
35:58
because they had these other products that just kicked off a
36:00
bunch of cash. So yeah, sure.
36:02
And they had a little bit of the Kodak problem, the Kodak digital
36:04
sensor problem, where they were worried, right, that if they
36:06
pushed us along too far too fast, it could hurt the existing
36:08
business. So I like that there's
36:09
competition here. I like that there's a bit of an
36:11
arms race of them trying to move this all forward.
36:13
You're going to get a better product and you're going to get
36:15
to whatever the destination is faster.
36:17
I think that's great. What destination?
36:18
You think there's a destination to this?
36:20
Yeah, for sure. I mean multiple destinations.
36:22
That's pretty much like saying the destination of computing no.
36:25
Yes, it will just keep getting more and more powerful.
36:27
Well, yeah, just a destination. Well, but I think if you if you
36:30
look at the line right, the line right now is is way up and to
36:33
the right. It's this like exponential?
36:35
That's going to continue. Now, at some point I do suspect
36:37
it'll roll off into some asymptote like it, and I'm not
36:39
saying we're there yet, but at some point it's gonna stop
36:41
doubling month over month, or three months over three months.
36:44
Not in your lifetime and not in mine.
36:46
Well, no. Well, I think you're, in my
36:48
opinion, you're conflating processing power, which which I
36:51
would agree with you on, with the commentation on top of that,
36:53
like at some point you're gonna see LLM.
36:55
Like you have to see those. Things are related.
36:57
Slow down. Those things are related.
36:58
Well, they are generally, but like also look at Excel.
37:00
Has Excel continued to double year over year?
37:03
No, it's got to a point where you're like, oh, this is good
37:05
enough. And LLM it won't be the next
37:08
thing. There'll be something beyond
37:10
that, of course, where you go to an AGI, you know, we're we're
37:12
gonna keep moving forward. This this will not slow down.
37:15
I I. Scoped it specifically to say
37:16
LLM. So I'm saying at some point this
37:18
thing gets to a place where you go, oh, this is kind of not good
37:21
enough, but like, we don't need to to.
37:22
Put, yeah, yeah, 90%, that's true of LLMS, but that's not
37:25
true of where we're going with, with AI computing generally,
37:28
but. That's the whole point of this
37:29
memo. This memo was we need to focus
37:31
more on this core thing and not the other things, right?
37:33
So the other things that you just described in your analog.
37:35
Well, 'cause their LLM has fallen way behind I.
37:37
Don't think it's fallen behind. I just think they no longer have
37:39
a lead. I still think if you look at
37:40
implementation wise, if you actually, you know, when I use
37:43
them, they they still have the the quote UN quote, best overall
37:46
experience. Wow.
37:47
And they were ahead by what felt like miles.
37:50
And now I'm like, oh, that part's gone.
37:51
I don't think it's even close if you if you haven't used Gemini 3
37:54
pro it is so far ahead of open AI.
37:57
OK, I mean, this week, I don't know what.
37:59
Oh, no, no, I'm not saying that they're not gonna be leapfrog
38:02
tomorrow. Yeah, yeah.
38:03
That's what happens with these things.
38:04
Yeah, I've got it. I've got, I haven't used it yet,
38:05
so I've got to see if I remember the top of the shows traveling
38:09
for like 10 days. It's.
38:10
Really great. I'm sure it's great.
38:11
But my, my point is they're not like they're not like dead in
38:13
the water, right? They're just maybe mid release
38:16
cycle. Show me 3 or 4 or 5 releases
38:18
where they're consistently behind what the market is, and
38:21
then I'll go, OK, they're behind.
38:22
I just don't think they're there.
38:23
Yet no, they're behind this week, Yeah.
38:25
Yeah, yeah, yeah. Great.
38:26
We're saying the same thing. Yeah, we're on the same page.
38:27
I had a relative say, have you used, do you use Gemini because,
38:30
you know, it was in all the headlines and things.
38:31
Do you use? Yeah, I was like, yes, I use
38:33
everything. I literally use everything.
38:35
I want to know how everything works.
38:36
I want to know where, what the state-of-the-art is, where
38:38
everywhere. Yeah.
38:39
And who does this better than that?
38:40
I mean, I'm all over the place. I imagine you are too.
38:42
There's two things I think are worth mentioning here, but
38:44
there's let's call it the Google ChatGPT race.
38:46
It's really not a two horse race, right?
38:48
You still have you still have anthropic doing great work.
38:50
No, and and others, but one of Google superpowers is they have
38:53
a tremendous number of eyeballs that are inputting stuff so they
38:56
can just slip Gemini into the top of search results, which
38:59
they've done and get a whole lot of users that are quote, UN
39:02
quote using Gemini every single day.
39:04
That's powerful. And you learn so much every time
39:07
somebody. Uses it yeah, of course, of
39:09
course. So that that's very interesting
39:11
to me and they have obviously a huge revenue stream behind that
39:14
their search revenue has gone up there right.
39:16
We all thought it was going to go down.
39:17
It was like, oh, it's going to, you know, AI is eating their,
39:19
their page searches. Yeah, it is.
39:21
But they're, they're actual, their revenue is going, going
39:22
up, which is nuts. Volume's down, but the revenue's
39:24
up overall, which which I find pretty interesting.
39:27
Also related to Open AI, they are blaming a dead team for
39:30
violating the terms of service in the suicide suit.
39:32
They're saying because he killed himself, he has violated the
39:34
terms of service. Well.
39:36
That's not exactly what they said.
39:37
What exactly did they say? Explain that to me.
39:38
There's a whole bunch of stuff in this that I think is is very
39:41
interesting. One is you need to really see,
39:43
and we haven't yet, but we've only seen Open AI's comments on
39:47
the whole chat log. But they're like, you need to
39:49
focus on the whole chat log. You need to focus on everything
39:51
that was done and said, not just the the key parts that were
39:54
pulled out. And yeah, he did violate the
39:55
terms of service this. Took place over months this was
39:58
this was not like an afternoon conversation this.
40:00
Is a long log yeah and opening I did quote from the logs I think
40:04
it was like 100 times where the chat agent told this this kid to
40:09
seek help. Yeah right.
40:10
To actually go talk to his, talk to to professionals, talk to his
40:13
family. But at that point, it needed to
40:14
Kick It Out to a human. Well, yeah, so every time it
40:16
tried to do that, then what would the kid would redirect it
40:19
and say, well, no, I'm doing this for, this is for.
40:22
Research. For research, I'm doing this for
40:23
a, for a play or something like that.
40:25
Where do you draw the line on this stuff?
40:27
Right? I mean, and this is This is why
40:28
you really wrapped around the axle on this.
40:30
Yeah, I think you hand it off to a human really, really fast.
40:32
And then if he's actually doing research for a play, the human
40:34
can figure that out. Yeah, you would hope.
40:36
But like, if the human doesn't figure it out, then what?
40:38
It wasn't just like, oh, hey, you want to kill yourself,
40:40
here's what you should go do. It did direct him to to seek
40:43
help. It also told him that because
40:45
he'd increased his dose of a medication that worsened his
40:48
depression that that was going to make him more suicidal.
40:50
So it wasn't like this thing didn't nothing but encourage him
40:53
to commit suicide. Listen, I'm not saying in every
40:55
case having a human, a human monitor what's going on is going
40:57
to solve the problem. I'm just saying you need to
40:59
throw more resources at this when this, because this this
41:01
doesn't happen that infrequently.
41:03
What's? Opening eyes own numbers on this
41:05
was something that was like 15 bips of a percent yeah, which
41:07
struck me as a very huge that's. A huge.
41:10
Number yeah, so they're they're 15 bips so .15% of Chachi PTS
41:14
active users in a given week have conversations that include
41:17
explicit indicators of potential suicidal planning or intent.
41:20
That number seemed extremely high to me.
41:22
Based on the number of active users.
41:23
That could be millions of people.
41:24
And that just that was the bigger take away for me was how
41:27
many people are in this state of suicidal thoughts or depression.
41:31
That's the part that's more concerning to me.
41:32
OK, never the headlines. In fact, never the episode.
41:34
Wait a minute, I want to fight about this some more.
41:37
We're not. We're done fighting.
41:39
We can fight more if you want. I haven't seen you in a while.
41:41
It's nice to it's nice to have any conversation with you.
41:43
Nice to be fighting again. Am I reading this part or no?
41:45
We just we. Need a let me just I'll just
41:47
close. I think we can finally agree on
41:48
something we need AI spill to do ever they want and we need to
41:51
copyrights. OK, let's keep going.
41:53
OK, great. OK, now with the headlines.
41:55
In fact, enough of the episode we have to get out of here.
41:57
Special thanks to our floor director, Ryan King.
42:00
Oh, Many thanks to the King. We'll be back next week with
42:02
more headlines. Until then, thank you for
42:03
listening to all this nonsense. I'm Jeff Parker.
42:06
I'm still I'm sick. I sick.
42:08
Nice to meet you. Leave me alone.
42:10
Go home. I'll.
42:10
Fill myself out. Are you still wrestling with a
42:25
rake? Excuse me, Back aching hands
42:27
raw, spending your precious weekend hours fighting a losing
42:29
battle against the autumn leaves?
42:31
Well, hang up your rake and plug in.
42:33
Introducing the incredible Black and Decker Air Sweep.
42:35
This isn't some clunky, noisy monster.
42:38
The air sweep is a powerful, lightweight handheld electric
42:40
blower that makes leaf clean up fast, simple and actually
42:43
enjoyable. Just point it and watch the
42:45
debris simply disappear. Use the powerful, concentrated
42:48
stream of air to clear your garage.
42:49
Whisk leaves off the deck. Make quick work of that huge
42:52
leaf pile in the driveway. The Black, Black and Decker air
42:54
sweep is corded, dependable and ready to work as long as you are
42:58
stop breaking. Start sweeping the Black and
43:00
Decker air sweep. Find yours today wherever
43:02
quality lawn and garden tools are sold.
43:04
That's Black and Decker. OK, first of all, I got a lot of
43:06
problems with this. Yeah, they're implying a couple
43:09
things. They're not implying they're,
43:10
they're directly stating a couple things.
43:12
One, they're saying they're saying that the the Black and
43:14
Decker air sweep is dependable. Is my rake not dependable?
43:17
Does my rake take breaks every hour and a half?
43:19
It's no more dependable than my rake.
43:21
Your rake is lazy. Lazy.
43:22
I have AI, have the lazy. Easiest rate, You've got a lazy
43:25
rate They. Also, I believe what you said
43:27
was that it will make leaves just disappear.
43:30
What's just vanished? You know what?
43:31
Ask your neighbor how they feel about that, because I'm pretty
43:34
sure if they're disappearing from your house they're
43:36
magically appearing. Disappearing to your neighbor's
43:39
house. And look, I'm pro technology.
43:41
I'm I'm pro technology when combined with gardening, this is
43:44
great. But like, what is it?
43:45
How is it gonna help you with the the quote large pile of
43:48
leaves in your driveway. The large pile is what you want
43:51
so that you can put them into what you make.
43:52
Yeah, to get rid of. Did you ever make?
43:54
Large piles of leaves in your driveway for like when you had
43:56
to rake up the leaves and the dog runs at 1,000,000 miles an
43:59
hour and jumps wood pile cause yeah 'cause they right 'cause
44:01
they want to play in the giant pile of leaves.
44:03
It's super. Fun.
44:04
Look, I'm for this. I'm for the air sweep, which is
44:06
a great name and I love that they're talking about it like
44:08
it's this futuristic thing. But I think we got a little bit
44:10
of honesty and advertisement that's gone a little amiss.
44:13
Here is my sort of view on this. Fair enough.
44:15
Let me know two things that you think.
44:17
Let me know the year you think this ad is from and let me know
44:21
how much you think the air sweep cost back.
44:24
Boy, I'm, I look, let me just preface this by saying I'm going
44:26
to get this wrong. Yeah, I'm pretty sure I can see
44:28
this thing in my head. I think my grandparents owned
44:31
one of these, like OG. I think it was like orange and
44:33
black. All the Black and Decker stuff,
44:35
I think it was orange and black, yeah.
44:36
Yeah, all the black and deck stuff was, yeah, it had this
44:38
long snout on it and I remember being like relative to today's
44:41
leaf blowers, it was very svelte and it had an extension cord.
44:44
And I can remember walking around with this thing.
44:45
I'm going to guess, I want to say late 70s.
44:48
I'm going to guess like 78 and I'm going to just arbitrarily
44:51
guess $89.00 for this thing. How far off am I?
44:54
You are extremely close. OK, this I I don't know exactly
44:58
when the air sweep came out. This ad is from 1980.
45:01
Oh. Wow.
45:01
OK. So pretty close.
45:02
So you're really paying the cost and the price.
45:05
Are you ready? Please $89.40 dollars.
45:07
Wow. Oh, so a lot cheaper. $40, yeah.
45:09
Oh, interesting. You, you must have had the
45:11
peasant air sweep. I had the IT was corded at the
45:13
gold plate. I know it was corded.
45:14
I remember this. I remember having just and I
45:16
still to this day have extension cord after extension cord in my
45:19
garage that I almost never used cause pretty much everything now
45:22
is battery operated. Yeah, but you got to have them.
45:24
You never know. The Black and Decker Air Sweep,
45:26
1980.