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The All-In Holiday Spectacular


Chapters

0:0 Pre-show footage for the All-In Holiday Spectacular
3:0 Year in Review
10:45 Besties on stage and a drop-in from SantaCanis!
15:50 Besties introduce the format and the "Bestie" award
17:25 Biggest Winner - Business
18:35 Biggest Loser - Business
20:11 Biggest Surprise - Business
23:20 Biggest Winner - Politics
28:11 Biggest Loser - Politics
31:13 Biggest Surprise - Politics
37:19 Aaron Levie joins the besties!
43:50 Best CEO (not named Elon Musk)
46:42 Best Investor
49:18 Best New Tech or Product
52:1 All-In Short: Chamath's Perfect Episode
54:24 Alex Botez joins the besties!
57:26 Favorite Media
60:23 Best Startup
62:31 Biggest Flop
65:53 Sports Story of the Year
67:54 Moment of the Year
70:5 Reflecting on 2024

Whisper Transcript | Transcript Only Page

00:00:00.000 | and then we're going to do specialty drinks up here and we'll still have full sponsorships.
00:00:11.000 | I want one of these.
00:00:12.000 | Dave is obsessed with Palomas.
00:00:13.000 | I love Palomas.
00:00:14.000 | I'm into Palomas right now.
00:00:15.000 | I'm a Paloma guy right now.
00:00:19.000 | It's like the all-in intro do you think?
00:00:22.000 | Which I've done a live arrangement for with the brass.
00:00:23.000 | Now, we're not going to do a year-in-review discussion.
00:00:30.000 | We're just going to go right into...
00:00:36.000 | Right.
00:00:37.000 | I think we caught it.
00:00:40.000 | Yeah, we're going to go right into the awards.
00:00:45.000 | Well, you're going to go right into Santa Catas doing this bit.
00:00:49.000 | Yeah.
00:00:50.000 | We could do that.
00:00:51.000 | That's easy.
00:00:52.000 | That could be the change line.
00:00:53.000 | Exactly.
00:00:54.000 | How much time does he need to change?
00:00:55.000 | It's me!
00:00:56.000 | Santa Catas!
00:00:57.000 | That's good.
00:00:58.000 | Yeah.
00:00:59.000 | I mean it's pretty hilarious.
00:01:00.000 | So, we're really excited to have some Bestie Awards to give out tonight.
00:01:01.000 | Let's get started.
00:01:02.000 | Jake, how are you?
00:01:03.000 | Are you back?
00:01:04.000 | Are you here?
00:01:05.000 | Where are you?
00:01:06.000 | Oh, God.
00:01:07.000 | Sorry.
00:01:08.000 | I was just getting in founder mode.
00:01:10.000 | Let's go!
00:01:11.000 | Saturday Night San Francisco!
00:01:36.000 | All right, J-Kel, you want to warm us up?
00:01:46.000 | Okay.
00:01:47.000 | All right, everybody.
00:01:48.000 | Let's get loose.
00:01:49.000 | We know what we do.
00:01:50.000 | We have a game plan.
00:01:51.000 | We've been doing this for 206 episodes.
00:01:52.000 | We're not changing anything.
00:01:53.000 | We are who we are.
00:01:54.000 | We know what to do.
00:01:55.000 | Frank Burt, bring that science.
00:01:56.000 | Sax, I got the red meat for you.
00:01:57.000 | And you're going to help me.
00:01:58.000 | And you're going to help me.
00:01:59.000 | And you're going to help me.
00:02:00.000 | And you're going to help me.
00:02:01.000 | And you're going to help me.
00:02:02.000 | And you're going to help me.
00:02:03.000 | And you're going to help me.
00:02:04.000 | And you're going to help me.
00:02:05.000 | And you're going to help me.
00:02:06.000 | And you're going to help me.
00:02:07.000 | And you're going to help me.
00:02:08.000 | And you're going to help me.
00:02:09.000 | And you're going to help me.
00:02:10.000 | And you're going to help me.
00:02:11.000 | And you're going to help me.
00:02:12.000 | And you're going to help me.
00:02:13.000 | And you're going to help me.
00:02:14.000 | And you're going to help me.
00:02:15.000 | And you're going to help me.
00:02:16.000 | And you're going to help me.
00:02:17.000 | And you're going to help me.
00:02:18.000 | And you're going to help me.
00:02:19.000 | And you're going to help me.
00:02:20.000 | And you're going to help me.
00:02:21.000 | And you're going to help me.
00:02:22.000 | And you're going to help me.
00:02:23.000 | And you're going to help me.
00:02:24.000 | And you're going to help me.
00:02:25.000 | And you're going to help me.
00:02:26.000 | And you're going to help me.
00:02:28.000 | Let's go.
00:02:29.000 | America, 2024.
00:02:35.000 | A year of political earthquakes.
00:02:37.000 | Extraordinary market events.
00:02:40.000 | Space.
00:02:41.000 | And the revelation that Diddy is super into baby oil.
00:02:46.000 | Authority has located more than a thousand bottles of baby oil lubricant.
00:02:50.000 | It was a year so profound.
00:02:52.000 | Gotta give him that hawk poo and spit on that thing.
00:02:55.000 | America was at times at a loss for words.
00:02:58.000 | Look, um, the, uh, like I said, I'm--
00:03:06.000 | Well put, gentle Joe.
00:03:08.000 | So tonight, we look back.
00:03:11.000 | The All In Podcast presents America 2024.
00:03:16.000 | What in the fuck just happened?
00:03:18.000 | The story of 2024 starts with AI.
00:03:23.000 | The revolutionary technology has fueled a boom in countless sectors.
00:03:27.000 | But mostly, the legal field.
00:03:30.000 | Scarlett Johansson's legal team wants details on exactly how they were able to create
00:03:35.000 | that voice that sounds like she said, so eerily similar.
00:03:38.000 | No, it sounds just like her.
00:03:39.000 | Of course, it's a digitally altered version of Scargent.
00:03:42.000 | And they got caught.
00:03:44.000 | Cookie jar.
00:03:45.000 | And AI also created the most remarkable deepfake video ever.
00:03:51.000 | Welcome.
00:03:53.000 | They almost look like friends.
00:03:55.000 | Amazing.
00:03:56.000 | Yes, 2024 proved there's no problem AI can't solve and/or cause.
00:04:01.000 | Google has had to pause AI-made images, quote, after race inaccuracies.
00:04:07.000 | This year, AI helped launch the most drool-worthy tech product in years.
00:04:13.000 | A computer chip.
00:04:15.000 | Yeah, baby.
00:04:19.000 | DGX has become the essential instrument of AI.
00:04:24.000 | Never seen anything like this in the history of Silicon Valley or corporate America.
00:04:28.000 | NVIDIA is king of the AI revolution, and they're so hot, they're literally too hot.
00:04:35.000 | The information reported that the chips are overheating in servers.
00:04:44.000 | But don't worry, there's an elegant solution to the problem.
00:04:48.000 | I bought myself this Hiroshima mask so I do not have to smell the burn on those conductors.
00:04:55.000 | Problem solved.
00:04:57.000 | But NVIDIA wasn't alone in AI news.
00:05:02.000 | OpenAI was at the forefront of reinventing another crucial industry, office drama.
00:05:08.000 | A lot of drama involving OpenAI.
00:05:11.000 | What a mess.
00:05:12.000 | What's next?
00:05:13.000 | This week on General AI Hospital.
00:05:18.000 | Is Sam Altman's job security in jeopardy?
00:05:21.000 | Whose data was stolen this time?
00:05:24.000 | What did Ilya see?
00:05:26.000 | Why isn't he talking about it?
00:05:28.000 | And with our special guest.
00:05:30.000 | Will our special guest get her revenge?
00:05:33.000 | General AI Hospital.
00:05:35.000 | But Sam Altman never let the drama distract him from OpenAI's primary mission, philanthropy.
00:05:42.000 | It's actually really important that you're not doing private enrichment off philanthropic donations.
00:05:47.000 | And so, you know, it's, it's...
00:05:49.000 | But isn't that what's happened?
00:05:51.000 | Um, you know, I think that the, you know, um, you know, I think, like I said, sour grapes.
00:05:58.000 | Well said, Reed.
00:06:00.000 | But even if OpenAI was a little more like closed AI,
00:06:04.000 | its humble leader, Sam Altman, was still toiling away humbly for the betterment of mankind.
00:06:09.000 | You make a lot of money, do you?
00:06:11.000 | I make, no, uh, I'm paid enough for health insurance, I have no equity in OpenAI.
00:06:15.000 | Really? That's interesting.
00:06:17.000 | But don't think this working class hero doesn't suffer.
00:06:20.000 | Did you know that his 1.9 million dollar supercar wasn't available in candy apple red like he wanted?
00:06:27.000 | Still, it wouldn't be a year in review without mentioning Elon Musk.
00:06:32.000 | Who, incidentally, we will all be required to mention daily in 2025 as bound by federal law.
00:06:40.000 | The world's jumpiest capitalist and the new co-leader of the free world
00:06:45.000 | showed everyone in 2024 that being Elon Musk is a pretty fucking sweet gig.
00:06:51.000 | From soaring in space to delivering charity,
00:06:55.000 | from business booms to getting anointed by Joe Rogan as free speech Jesus,
00:07:01.000 | from getting hired in politics to getting hired to fire people in politics,
00:07:06.000 | 2024 was a year that couldn't shake Elon Musk.
00:07:09.000 | Just ask this guy.
00:07:10.000 | You know, he likes this place. I can't get him out of here.
00:07:13.000 | And it was all prophesized by our own David Palpatine.
00:07:17.000 | Everything has proceeded as I have foreseen.
00:07:20.000 | 2024 was a banner year in tech.
00:07:23.000 | And in how many giant names we tricked into coming on our podcast.
00:07:27.000 | I love that house he has. I love David's house.
00:07:30.000 | I can't believe I get to sit down with one of the most famous investors in Uber.
00:07:34.000 | It was like the hand of God massaging my central nervous system.
00:07:37.000 | What the flying f**k happened?
00:07:40.000 | If you have specific questions, I'm happy to.
00:07:42.000 | Did somebody stab you in the back? Did you find AGI?
00:07:45.000 | Oh my God, what have we done inviting these lunatics on the program?
00:07:49.000 | Hold on guys, I got to get into founder mode.
00:07:52.000 | Oh wow, founder mode.
00:07:53.000 | If he founder modes, I'm going to, I'm going to founder.
00:07:55.000 | S**t, I got to founder mode too.
00:07:58.000 | Where's Jayco?
00:07:59.000 | Oh s**t.
00:08:04.000 | Speaking of financial highs, 2024 experienced a wide range of viewpoints
00:08:09.000 | from the effectiveness of ESG to disagreement on new CTA BOI reporting.
00:08:13.000 | But there was unanimous agreement on one key financial issue.
00:08:17.000 | Lina Khan has become the most aided and feared person on Wall Street.
00:08:21.000 | And Lina Khan is utterly ineffective.
00:08:23.000 | What Lina Khan has done is just go after "bigness"
00:08:26.000 | which just means stopping these companies from doing anything that would make them bigger.
00:08:30.000 | The only acquisition she couldn't stop, Chamath's $5,000 sweater habit.
00:08:35.000 | Oh yeah, Chamath, strut your stuff.
00:08:37.000 | Let's talk about the sweaters.
00:08:38.000 | This, Jason.
00:08:39.000 | Oh, really?
00:08:40.000 | Is the thin summer gilet.
00:08:42.000 | Okay, beautiful cashmere.
00:08:44.000 | Cashmere?
00:08:45.000 | F**k yeah!
00:08:49.000 | These days, the all-in boys and their friends are looking slim in their cashmere
00:08:55.000 | thanks to a new class of miracle drugs that stormed the world of biotech in 2024.
00:09:01.000 | Ozempic.
00:09:03.000 | The game-changer.
00:09:04.000 | Injectable weight loss drugs are hot.
00:09:06.000 | In our broker group, like, 4 of the 12 or 13 regulars are on it.
00:09:11.000 | 2025 is looking to be the year GLP-1s change the face of everything.
00:09:15.000 | Literally.
00:09:16.000 | But we've heard that term "ozempic face."
00:09:19.000 | First we had "ozempic face," and now we have "ozempic butt."
00:09:25.000 | But if 2024 will be remembered for one thing,
00:09:29.000 | it will be for shining a light on elder abuse.
00:09:33.000 | Our 46 presidents stepped aside,
00:09:36.000 | introducing the country to a fresh new upstart
00:09:39.000 | ready to tackle the problems of a fractured country.
00:09:42.000 | I grew up a middle-class kid.
00:09:44.000 | I grew up a middle-class kid.
00:09:45.000 | I grew up a middle-class kid.
00:09:47.000 | I grew up a middle-class kid.
00:09:49.000 | President Trump, however, wouldn't stand by idly and let Kabbalah torch her own campaign.
00:09:54.000 | They're eating the dogs, the people that came in.
00:09:57.000 | They're eating the cats.
00:09:58.000 | In the end, however, it wasn't even close.
00:10:01.000 | Literally nothing?
00:10:02.000 | Literally nothing.
00:10:03.000 | Literally not one county?
00:10:05.000 | There was just so much to 2024 that we can't cover it all.
00:10:11.000 | From Trump nearly getting assassinated to Trump nearly getting assassinated.
00:10:16.000 | From continued wars in Europe and the Middle East to continued battles on the home front.
00:10:21.000 | From the cringiest of TikToks to black Nazis and an Aussie dance legend,
00:10:25.000 | 2024 was anything but.
00:10:28.000 | Very demure. Very mindful.
00:10:31.000 | With 2024 in the rearview mirror,
00:10:34.000 | let's turn to our outgoing president for some sage advice on our collective future.
00:10:39.000 | But I tell you what, I don't know about you, but I'm going to go to bed.
00:10:45.000 | Ladies and gentlemen, please join me in welcoming your bestie.
00:11:14.000 | What's up?
00:11:15.000 | Merry Christmas.
00:11:19.000 | Welcome, CzarSax.
00:11:22.000 | You weren't allowed to say Merry Christmas until about three weeks ago.
00:11:26.000 | Merry fucking Christmas, everybody.
00:11:28.000 | Where's...
00:11:29.000 | Happy holidays.
00:11:31.000 | Where's Jkal?
00:11:32.000 | Where's Jkal?
00:11:34.000 | Jkal?
00:11:35.000 | Jkal?
00:11:36.000 | Ho, ho, ho, ho, ho, ho!
00:11:39.000 | It is I, Santa Canis,
00:11:42.000 | here to spread joy and stock options and bitcoins
00:11:46.000 | to all these fine San Francisco they-thems-its-whatevers.
00:11:52.000 | Ho, ho, ho!
00:11:54.000 | This is starting off horribly, but OK.
00:11:56.000 | Ho, ho, ho!
00:11:58.000 | Shabbat!
00:11:59.000 | Ho, ho!
00:12:00.000 | Santa Canis, where are you coming from?
00:12:02.000 | Well, you know, uh...
00:12:04.000 | You know they paid money for this, right?
00:12:06.000 | You could have at least memorized your lines.
00:12:09.000 | It's just too funny.
00:12:10.000 | Sometimes the cold opens work, and sometimes they don't.
00:12:13.000 | They don't. It's true. It's true.
00:12:14.000 | The problem is, this one's supposed to go for eight minutes, so...
00:12:18.000 | Eight minutes?
00:12:19.000 | You have stuff in there for eight minutes?
00:12:21.000 | It's not like you guys are going to make this crowd laugh, OK?
00:12:25.000 | No, it's, uh...
00:12:26.000 | We moved the North Pole.
00:12:28.000 | We moved it.
00:12:29.000 | Where'd you move it to, Santa Canis?
00:12:31.000 | It's a problem, because, you know, all these elves who've come across the border up there...
00:12:35.000 | Tons of fentanyl. It's a disaster. Terrible.
00:12:38.000 | And just crazy inflation up there.
00:12:40.000 | So we-we moved the North Pole down to Austin, Texas.
00:12:44.000 | Oh, it's-it's in Austin, Texas now. Yeah.
00:12:46.000 | Better tax treatment, you know.
00:12:49.000 | Can you get elves there, Santa Canis?
00:12:51.000 | You know, it's a little bit hard.
00:12:52.000 | Some of them have come across the border.
00:12:54.000 | Some of them work hard.
00:12:56.000 | Other ones, not so much.
00:12:58.000 | Have you automated?
00:12:59.000 | Well, you know, it's interesting you say that.
00:13:02.000 | Oh, oh, no milk and cookies.
00:13:04.000 | I'll take some Bitcoin if you have any extra.
00:13:06.000 | OK. Thank you there, Tremont.
00:13:08.000 | Yes, we've done some automation.
00:13:11.000 | Ho, ho, ho, yes.
00:13:13.000 | Oh, here it is, everybody.
00:13:15.000 | You know, we have a lot of problems with the elves.
00:13:19.000 | You know, they've been unionizing sacks.
00:13:22.000 | It's too much regulation, but we can get these here from 1X.
00:13:26.000 | Only $1 per hour, but we need you back in Santa's lab, OK?
00:13:31.000 | You need to be building some toys, OK?
00:13:34.000 | Now get back to work.
00:13:37.000 | Yeah, we don't have HR anymore, OK?
00:13:39.000 | So what are you doing after?
00:13:41.000 | No, I mean, I got my friends, got the good K.
00:13:44.000 | OK, we'll talk later.
00:13:45.000 | Whose robot is this?
00:13:46.000 | It's Santa's robotic elf, right?
00:13:49.000 | Ho, ho, ho.
00:13:50.000 | Sorry, hold on a second. Hold on.
00:13:52.000 | Before we continue with this clearly incredible bit that you two ding-dongs wrote.
00:13:56.000 | I was just told to read it.
00:13:59.000 | Can we just say a cheers for the new czar?
00:14:02.000 | Huzzah!
00:14:04.000 | Huzzah!
00:14:07.000 | Mazel tov, bro. Congratulations.
00:14:11.000 | Yes, congratulations there. Congratulations, czar.
00:14:18.000 | It's a little hard with the $27 Amazon Santa suit.
00:14:21.000 | Ho, ho, ho.
00:14:23.000 | Well, you know, guys, I have the list here that you guys were asking about.
00:14:28.000 | This is the naughty list.
00:14:29.000 | This bit goes on for like eight minutes.
00:14:31.000 | Hold on.
00:14:32.000 | I've got the naughty and the nice list.
00:14:34.000 | It's a pretty big list this year.
00:14:36.000 | Let's take a look.
00:14:37.000 | Sam Altman is on the naughty list.
00:14:40.000 | Very naughty.
00:14:41.000 | Two, three, four times on the naughty list.
00:14:45.000 | Oh, Jensen, also on the top of the list.
00:14:48.000 | You know, Santa's got a lot of that NVIDIA.
00:14:51.000 | 20 baggers so far.
00:14:53.000 | Yes, also some NVIDIA employees here.
00:14:55.000 | They didn't sponsor, though.
00:14:58.000 | I don't know why.
00:14:59.000 | He's so cheap.
00:15:00.000 | Okay, Santa, Kenneth, I think it's time for you to go back to Austin.
00:15:03.000 | Yeah, well, you know, I have to do another podcast.
00:15:07.000 | Yeah, it's got 20 times the ratings of All In.
00:15:10.000 | It's called Hot Ones.
00:15:12.000 | I don't know who the host is, but you're getting beaten in the ratings by 12 chicken wings.
00:15:17.000 | Congratulations, boy.
00:15:19.000 | More work for you guys, okay?
00:15:21.000 | I'll see you next time.
00:15:22.000 | Bye, everybody.
00:15:23.000 | Can you get Santa, Kenneth, out of here?
00:15:25.000 | Ho, ho, ho.
00:15:26.000 | Ho, ho, ho.
00:15:27.000 | Ho, ho, ho.
00:15:36.000 | Okay.
00:15:37.000 | Well, you have to admire the dedication to the bit.
00:15:42.000 | Most people have given up after about two minutes.
00:15:45.000 | He just kept going with it.
00:15:47.000 | He's really committed.
00:15:49.000 | He keeps going, yeah.
00:15:51.000 | That's great.
00:15:52.000 | So just to get you guys oriented, thank you all for being here.
00:15:56.000 | This is going to be awesome.
00:16:01.000 | We got a great night planned.
00:16:02.000 | We got a show.
00:16:03.000 | We're going to walk through the Bestie Awards tonight.
00:16:06.000 | It's going to be super fun.
00:16:08.000 | Oh, here we go.
00:16:09.000 | Sorry I'm late.
00:16:10.000 | I was in an Uber.
00:16:11.000 | I was in an Uber.
00:16:12.000 | I heard Santa Claus showed up.
00:16:13.000 | I was in an Uber.
00:16:15.000 | Okay.
00:16:16.000 | Oh, sorry.
00:16:17.000 | Let's do a drinking game.
00:16:18.000 | The number of times J. Cal shills his companies, we need to drink.
00:16:23.000 | J. Cal, introduce the awards.
00:16:25.000 | Let's kick this off.
00:16:26.000 | How's this going to work?
00:16:27.000 | Oh, okay.
00:16:28.000 | So you guys know we do this amazing Bestie Awards.
00:16:31.000 | So we're going to do a bunch of Bestie Awards here live on stage.
00:16:34.000 | And interestingly, this year we actually made a Bestie Award.
00:16:38.000 | It's right next to you, Chamath.
00:16:40.000 | Maybe you can hold one up.
00:16:41.000 | Sax, go ahead and take a look at this.
00:16:42.000 | Now, this Bestie Award is two men embracing in a long, awkward hug.
00:16:50.000 | And many people don't know the inspiration for this awkwardness,
00:16:54.000 | but here it is to remind everybody.
00:16:56.000 | There it is.
00:16:58.000 | And that's actually Chamath and David Sax.
00:17:03.000 | David Sax is actually reciprocating the hug.
00:17:06.000 | He actually reciprocates.
00:17:07.000 | You're saying that we were the mold for this.
00:17:10.000 | It was cast out of our body shapes.
00:17:14.000 | It's actually accurate down to the inch.
00:17:18.000 | Yes, it's very accurate.
00:17:20.000 | You and Sax, you and Chamath are hugging.
00:17:25.000 | So the first award we're going to do is business.
00:17:29.000 | Biggest winner, biggest loser, and biggest surprise.
00:17:34.000 | So, Chamath, would you like to kick it off with your biggest business winner?
00:17:41.000 | I think the biggest business winner of 2024 is the business of speech.
00:17:51.000 | And what I mean by that is I think that we have made freedom of speech
00:17:57.000 | a very successful business model.
00:18:01.000 | All right, well done.
00:18:03.000 | What's your biggest business winner, Sax?
00:18:05.000 | Well, I want it to be original, but I really couldn't.
00:18:07.000 | I thought it was so obvious this year it has to be Elon Musk.
00:18:10.000 | Okay, Elon Musk, that's always a safe choice.
00:18:13.000 | Freeberg, who do you have?
00:18:14.000 | It's SpaceX, Starlink, Starship.
00:18:16.000 | I don't know what else comes close.
00:18:18.000 | Chopsticks.
00:18:19.000 | What's that?
00:18:20.000 | Chopsticks.
00:18:21.000 | First Neuralink implant.
00:18:23.000 | And SpaceX at like a $350 billion valuation,
00:18:26.000 | like tripling from that level in a year.
00:18:29.000 | It's insane.
00:18:30.000 | Never been done before.
00:18:31.000 | Boundaries just don't matter.
00:18:33.000 | It's incredible.
00:18:34.000 | It is incredible.
00:18:35.000 | I went with NVIDIA just to mix it up.
00:18:37.000 | Who's your biggest business loser, Sax?
00:18:40.000 | I said the biggest business loser was the legacy media.
00:18:44.000 | Oh, mainstream media, okay.
00:18:46.000 | They lost the election in something like half their ratings,
00:18:51.000 | and they've been exposed as basically being overpaid podcasters.
00:18:59.000 | But podcasters aspire to be overpaid legacy media hosts.
00:19:04.000 | Chamath, who is your biggest business loser?
00:19:07.000 | Business loser, Intel.
00:19:09.000 | From the company that basically commercialized Moore's Law
00:19:15.000 | for the advancement of humanity
00:19:17.000 | to just a totally confused shell of its former self.
00:19:23.000 | Who do you got, Freeberg, as your biggest business loser?
00:19:27.000 | Very old business.
00:19:29.000 | Has had a kind of mantle place position in the United States for decades.
00:19:34.000 | That would be Boeing, which seemed to unravel this year
00:19:38.000 | with obviously the debacle with the aerospace program,
00:19:41.000 | particularly with Starliner stranding some astronauts
00:19:44.000 | needing to get rescued.
00:19:46.000 | And there's a lot of turnover happening in the organization.
00:19:49.000 | It just seems like a mess.
00:19:50.000 | You know, I went with Apple only because I felt the Vision Pro felt flat.
00:19:54.000 | The new iPhone 16, not very strong.
00:19:57.000 | And I feel like they're adrift.
00:19:58.000 | And Warren Buffett sold all his shares in it.
00:20:00.000 | I feel like the company could do much better.
00:20:02.000 | Well, their stock's up like 30% this year.
00:20:05.000 | I think it's a little bit in the middle,
00:20:07.000 | but I think it's based on potential.
00:20:09.000 | I think they should be releasing great new products, and they aren't.
00:20:12.000 | Let's go to business surprise.
00:20:14.000 | Did you have a business surprise over there, Saxipoo?
00:20:18.000 | I said Palantir was the biggest business surprise this year.
00:20:22.000 | I mean, I thought the company would do well,
00:20:25.000 | but its stock went up 5x this year from $16 a share to 76.
00:20:31.000 | Completely counterintuitive.
00:20:33.000 | It just--the market cap of Palantir just passed the market cap of Lockheed Martin.
00:20:39.000 | The amazing counterintuitive thing about Palantir
00:20:42.000 | was how much time they spent with their customers.
00:20:47.000 | Everybody shat on that idea, and they were totally right.
00:20:53.000 | Totally right.
00:20:54.000 | So were they your biggest surprise as well?
00:20:58.000 | My biggest business surprise are GLP-1s.
00:21:04.000 | I think the number of markets that it seems to help--
00:21:09.000 | this year it went from weight loss to cardiac fitness
00:21:13.000 | to depression to drug addiction, alcohol--
00:21:18.000 | I mean, it's basically a wonder drug of wonder drugs.
00:21:22.000 | And also, I think you might be interested,
00:21:24.000 | they said it can help with compulsive gambling as well, Chamath.
00:21:28.000 | That is why I am not on a GLP-1.
00:21:32.000 | I don't have a problem.
00:21:35.000 | Okay, Freeburg, did you have a surprise?
00:21:37.000 | I was surprised by the return of kind of the long tail of crypto.
00:21:42.000 | Okay.
00:21:43.000 | It's come roaring back, and everything seems to be on fire again.
00:21:48.000 | No comment from the crypto czar, I know, but--
00:21:51.000 | Crypto comeback is your big surprise.
00:21:53.000 | Crypto comeback. The long tail of crypto comeback.
00:21:55.000 | I feel like Bitcoin was always a different story,
00:21:58.000 | but the long tail's got a different story.
00:22:00.000 | You know, I looked at it, and I always love great products.
00:22:03.000 | I picked Google.
00:22:05.000 | Everybody was talking two years ago about how Google was falling behind
00:22:08.000 | and 10 blue links weren't going to work.
00:22:11.000 | The Gemini app is absolutely fantastic.
00:22:14.000 | I've been using Gemini app.
00:22:15.000 | It's as good or better than--
00:22:17.000 | Do you jay trade Google shares?
00:22:20.000 | I jay trade some shares, yes.
00:22:22.000 | I jay traded some Google shares.
00:22:25.000 | Also, Waymo, also delightful.
00:22:28.000 | And, you know, they had a rough year with some of that woke imagery in Gemini,
00:22:33.000 | but I think they had a great rebound.
00:22:35.000 | Waymo's a really good story.
00:22:36.000 | Yeah, I think Waymo--
00:22:37.000 | I also felt like it's like what is that business a year and a half ago,
00:22:40.000 | two years ago, and I don't know.
00:22:42.000 | I've been taking Waymo's around the city.
00:22:44.000 | You don't come to the city.
00:22:45.000 | My sister and my brother-in-law are visiting this weekend.
00:22:49.000 | There they are.
00:22:50.000 | Hey, how you doing, guys?
00:22:51.000 | And they took a Waymo yesterday, and I saw the video.
00:22:55.000 | And basically what you have is my brother-in-law,
00:22:58.000 | who's, like, totally blown away,
00:23:01.000 | my sister, who's, like, cautiously optimistic,
00:23:04.000 | and their two kids who are, like, pinned to the back in fear
00:23:08.000 | because they're like, "Who is driving this?"
00:23:10.000 | And my brother-in-law, who's Indian, he's like,
00:23:13.000 | "Don't worry.
00:23:14.000 | There are people like us somewhere driving this car."
00:23:18.000 | [laughter]
00:23:21.000 | Okay.
00:23:22.000 | Let's go to politics.
00:23:24.000 | Sax, here's your red meat.
00:23:25.000 | I can't imagine who you have as your political winner,
00:23:28.000 | but I know you probably struggled over this one.
00:23:31.000 | This one's pretty obvious.
00:23:32.000 | It's the man who won the White House.
00:23:35.000 | [cheers and applause]
00:23:39.000 | He--actually, he not only won the White House,
00:23:41.000 | he won the House, he won the Senate,
00:23:43.000 | he won the popular vote, and he overcame a hostile media.
00:23:48.000 | He overcame two assassination attempts,
00:23:51.000 | one that missed him by millimeters.
00:23:54.000 | So my biggest political winner for the year is Donald Trump.
00:23:57.000 | Okay, there it is, folks.
00:23:59.000 | Biggest winner.
00:24:00.000 | Wow. You just glow.
00:24:02.000 | When you mention DJT, you're just glowing.
00:24:05.000 | We don't even need to like the stage.
00:24:07.000 | When we say DJT, it's like a fusion reactor.
00:24:11.000 | Chamath, who is your biggest political winner for 2024?
00:24:17.000 | My biggest--and listen to this very carefully, folks.
00:24:21.000 | My biggest political winner of 2024
00:24:26.000 | is David motherfucking Sax.
00:24:28.000 | [cheers and applause]
00:24:30.000 | Let's go, David Sax!
00:24:32.000 | Fuck yeah. Nicely done.
00:24:35.000 | All right.
00:24:38.000 | Say more, say more.
00:24:40.000 | Well, I said this before, but I'll say it again.
00:24:46.000 | I've never seen a team of people
00:24:49.000 | assembled in any government like this,
00:24:54.000 | and I really do mean what I say.
00:24:56.000 | He is really the best of everything that happens.
00:24:58.000 | A guy that has emigrated, okay?
00:25:03.000 | A guy that's worked his ass off.
00:25:06.000 | He's done it in many different places,
00:25:08.000 | in many different ways.
00:25:10.000 | He's an amazing friend, and he's fucking brilliant.
00:25:14.000 | And we need brilliant people.
00:25:16.000 | Yeah, way to go.
00:25:17.000 | Did you have a political winner there, Friedberg?
00:25:20.000 | I know you don't talk too much about politics.
00:25:22.000 | Well, I went with independent media.
00:25:24.000 | I think that it totally reinvented--
00:25:26.000 | Everyone talks about this,
00:25:27.000 | but it had such a huge impact in changing the narrative,
00:25:30.000 | getting new messages out there that were being filtered
00:25:33.000 | or distracted away in other contexts,
00:25:36.000 | so I thought that was the biggest winner.
00:25:38.000 | And everyone's talking about the legacy media anchors
00:25:41.000 | all leaving and moving to independent
00:25:43.000 | podcasting platforms and so on,
00:25:45.000 | so that was the biggest winner, I thought.
00:25:47.000 | All right, I picked the PayPal mafia,
00:25:49.000 | yourself included, of course, Sax,
00:25:51.000 | Peter Thiel, JD, and Elon, obviously.
00:25:54.000 | The whole group, I think, really did a great thing.
00:25:57.000 | Now, whether you are a fan of Donald Trump's or not,
00:26:01.000 | if you're left or right,
00:26:03.000 | I feel really great that you guys are around Donald Trump,
00:26:06.000 | and I feel really optimistic
00:26:08.000 | and great energy for the country.
00:26:10.000 | So the fact that the PayPal mafia is there,
00:26:12.000 | yourself included, Sax,
00:26:14.000 | makes me feel really great about the next four years,
00:26:16.000 | and I'm so proud that you're doing this,
00:26:18.000 | and it's a great sacrifice for your country.
00:26:20.000 | You could use these cycles for your own benefit,
00:26:22.000 | and you're using these cycles
00:26:24.000 | for the benefit of America and humanity,
00:26:26.000 | and I think that deserves a big round of applause.
00:26:29.000 | [cheers and applause]
00:26:31.000 | Okay.
00:26:32.000 | - Thank you.
00:26:33.000 | Well, you know, one thing I'll say is,
00:26:35.000 | Chamath and I co-hosted the dinner for President Trump.
00:26:40.000 | It was on June 6th of this past year.
00:26:43.000 | I remember that because it was D-Day.
00:26:45.000 | I thought that was somehow significant.
00:26:47.000 | But they asked me if I would be willing
00:26:50.000 | to host a fundraiser for President Trump,
00:26:53.000 | and I said, "Well, how much do we need to raise?"
00:26:56.000 | And they said, "Well, at a minimum, $5 million."
00:26:59.000 | And I didn't--I thought maybe that's a hard number to raise
00:27:02.000 | because there's not that many Republicans in San Francisco.
00:27:05.000 | So the first call I made was to this man, Chamath,
00:27:08.000 | and I said, "Would you co-host this with me?"
00:27:11.000 | Because I figured, okay, well, if nobody shows up,
00:27:14.000 | Chamath and I can just split it.
00:27:16.000 | [laughter]
00:27:20.000 | - You dollar-cost-averaged your fundraiser?
00:27:23.000 | - Oh, that's so bad.
00:27:24.000 | - You dollar-cost-averaged.
00:27:26.000 | - So I knew he could pick up the check with me.
00:27:28.000 | It was--so in any event, it was a big ask from Chamath
00:27:33.000 | because Chamath had never supported Republicans before.
00:27:36.000 | Obviously, I've been a crazy right-winger from way back,
00:27:39.000 | but Chamath had only supported Democrats,
00:27:42.000 | and he said he was in, and he decided to co-host it with me.
00:27:47.000 | And so based on that, I told him,
00:27:49.000 | "Okay, we're in. We can do this."
00:27:51.000 | And then it turns out that more and more people wanted to come
00:27:54.000 | because we showed some conviction.
00:27:56.000 | So then we had $8 million committed,
00:27:58.000 | then $10 million committed.
00:28:00.000 | Then we ended up raising $12 million that night.
00:28:02.000 | - $13, I thought. - $13, and then $13.
00:28:04.000 | Well, we got another million on top of it,
00:28:06.000 | so we ended up raising $13 million that night, so yeah.
00:28:08.000 | But it wouldn't have happened unless he decided
00:28:10.000 | to co-host it with me, so thank you, Chamath.
00:28:12.000 | All right, political losers, who do we got?
00:28:16.000 | [laughter]
00:28:18.000 | I mean, I know this is a tough one, too.
00:28:20.000 | I've already said this, so this is going to be repetitive,
00:28:23.000 | but it's the thing that disappointed me the most personally.
00:28:28.000 | I think the biggest political loser was Barack Obama.
00:28:33.000 | [laughter]
00:28:35.000 | It's the same thing where there were so many of us
00:28:38.000 | that literally would have stood in line for hours
00:28:41.000 | to just shake his hand.
00:28:43.000 | I guess I just revered the idea of who he was,
00:28:48.000 | and then I just saw a person that was reduced
00:28:52.000 | to honestly not telling the truth
00:28:56.000 | and doing it repeatedly and repeatedly,
00:28:59.000 | and it just lost a tremendous amount of cachet that I had for him
00:29:04.000 | and the sensation that I had of who he was as a man.
00:29:08.000 | Who do you got, Freeberg, biggest loser?
00:29:11.000 | It's been said. I just went with legacy media.
00:29:14.000 | So my biggest political loser was lawfare.
00:29:18.000 | I thought lawfare was the biggest loser,
00:29:20.000 | because not only did it not work, it backfired.
00:29:24.000 | It backfired.
00:29:25.000 | Which you predicted.
00:29:26.000 | Yeah, exactly.
00:29:28.000 | You remember, they started the lawfare
00:29:30.000 | right when the Republican primary started,
00:29:32.000 | and I think Donald Trump would have won it anyway,
00:29:35.000 | but once they started these sham trials,
00:29:38.000 | they tried to bankrupt him.
00:29:39.000 | They went after his kids.
00:29:41.000 | They tried to imprison him.
00:29:43.000 | Republican support shot through the roof,
00:29:45.000 | and he won the primary easily,
00:29:47.000 | and then they did the same thing in the general,
00:29:49.000 | and it activated and sort of radicalized a lot of people,
00:29:52.000 | including myself, because it was so un-American
00:29:55.000 | to try and imprison your political opponent.
00:29:58.000 | So I think it massively backfired,
00:29:59.000 | and, of course, it wasn't just against Trump.
00:30:02.000 | It was also against Elon, too.
00:30:04.000 | Well, where did that get him?
00:30:05.000 | They turned Elon from someone who identified
00:30:08.000 | formally as a Democrat or an independent
00:30:10.000 | to someone who became a Republican.
00:30:13.000 | So it was not only-- not only did it not work,
00:30:16.000 | it basically had the exact opposite effect
00:30:18.000 | of what they intended.
00:30:19.000 | Yeah, I picked Biden and the Democratic machine
00:30:24.000 | as my biggest loser for obvious reasons,
00:30:26.000 | and as we talked about on the pod, gosh,
00:30:29.000 | it was so obvious that they were covering up
00:30:32.000 | Biden's cognitive decline,
00:30:34.000 | and we're all sadly going to be in decline
00:30:37.000 | at some point in our lives,
00:30:38.000 | and that should be something where that person
00:30:40.000 | is supported and not abused in the way he was abused.
00:30:44.000 | I felt it was elder abuse.
00:30:45.000 | We make that as a joke.
00:30:46.000 | And then not running a speed primary,
00:30:48.000 | and that's when, for me, a left-leaning moderate,
00:30:52.000 | I felt like I can't support this
00:30:54.000 | if you don't actually have a primary process,
00:30:57.000 | and I think they destroyed the party,
00:30:59.000 | and it just has to be rebuilt from the bottom up.
00:31:02.000 | It was a disaster, and I'm super disappointed,
00:31:05.000 | like many people, in their thuggy
00:31:07.000 | and criminal-type behavior.
00:31:09.000 | I felt it was really low ethics,
00:31:11.000 | and I'm not happy about it.
00:31:13.000 | [applause]
00:31:15.000 | Okay, let's go political surprises.
00:31:18.000 | Political surprises.
00:31:19.000 | Anybody have a surprise?
00:31:20.000 | Chamath, you look like you got one ready to go.
00:31:22.000 | My political surprise is J.D. Vance.
00:31:27.000 | [applause]
00:31:30.000 | I don't think, if this works out properly,
00:31:34.000 | there will be a Republican Party
00:31:37.000 | the way that you normally knew it.
00:31:40.000 | I think it is a MAGA party,
00:31:43.000 | and I think that J.D. Vance has the potential
00:31:47.000 | to become the standard-bearer past Trump,
00:31:52.000 | so that baton pass, I think, has the best potential.
00:31:56.000 | And what I'll tell you about him as a person
00:31:58.000 | is this is a guy, if you have a chance,
00:32:01.000 | he will be here a lot, I suspect,
00:32:03.000 | especially because of David.
00:32:05.000 | Meet the man, understand where he's coming from.
00:32:09.000 | This is an incredible human being.
00:32:11.000 | I really do mean that, folks.
00:32:14.000 | And I'm like a skeptical kind of--
00:32:16.000 | generally, I'm not super effusive about people.
00:32:19.000 | You're thoughtful about who you would become friends with.
00:32:22.000 | He's an incredible human being.
00:32:24.000 | You got a surprise for us, Friedberg?
00:32:25.000 | What was your surprise this political season, 2024?
00:32:28.000 | I listened to the episode of Pod Save America last week
00:32:32.000 | where the Democratic leadership that ran the Harris campaign
00:32:37.000 | kind of gave their breakdown on what happened.
00:32:40.000 | And what struck me the most about the conversation
00:32:43.000 | and the way they talked about everything
00:32:44.000 | was everything was about some demographic heuristic.
00:32:48.000 | Black males should do this.
00:32:50.000 | White college-educated females should do that.
00:32:53.000 | Everything was broken down to this, like,
00:32:56.000 | you are defined by whatever label we put on you
00:33:00.000 | and we expect that voting bloc,
00:33:01.000 | and we analyze you as a voting bloc, as a group,
00:33:04.000 | and how you all move together.
00:33:06.000 | And all of that shit broke down.
00:33:08.000 | What happened in this election cycle
00:33:10.000 | was a lot of people voted as independently-minded people
00:33:14.000 | in a way that I think broke their brains.
00:33:17.000 | They didn't understand how and why
00:33:19.000 | people were starting to think on their own.
00:33:22.000 | And so I don't think anyone anticipated
00:33:25.000 | that going into this year.
00:33:26.000 | It's certainly closely coupled
00:33:28.000 | with the rise of independent media,
00:33:30.000 | but individuals taking choice
00:33:31.000 | for not just being categorized and labeled and bucketed
00:33:34.000 | and told how to vote and what to think and what to do.
00:33:36.000 | People stood up and said,
00:33:37.000 | "I'm going to have my own thoughts on stuff."
00:33:39.000 | And suddenly all of the models broke.
00:33:41.000 | That was the biggest surprise,
00:33:42.000 | and I thought it was like a big sea change,
00:33:44.000 | at least in the United States.
00:33:45.000 | - I think it's a really great point you're making.
00:33:47.000 | One great thing that could come out of this
00:33:50.000 | is the return to judging people by their character,
00:33:53.000 | their performance, their actions,
00:33:55.000 | as opposed to identity politics,
00:33:57.000 | which is a true dead end in our society.
00:34:00.000 | I think it's really well said, Freeberg.
00:34:02.000 | Did you have a political surprise this year, Sax?
00:34:04.000 | - Yeah, I would say building on what you guys said,
00:34:06.000 | my biggest political surprise was that
00:34:08.000 | even in deep blue cities like San Francisco,
00:34:12.000 | the voters rejected the woke left
00:34:15.000 | in favor of more moderate alternatives.
00:34:17.000 | So here in San Francisco,
00:34:20.000 | we got Daniel Lurie as mayor.
00:34:23.000 | He was elected.
00:34:24.000 | Dean Preston and Aaron Peskin were defeated.
00:34:26.000 | We have a moderate majority on the Board of Supervisors.
00:34:29.000 | In Oakland, the leftist mayor and DA got recalled.
00:34:33.000 | In L.A. County, we beat George Gascogne,
00:34:36.000 | who was the Soros DA.
00:34:38.000 | [cheers and applause]
00:34:40.000 | Statewide, Prop 36 passed.
00:34:43.000 | This is the proposition to make crime illegal again.
00:34:47.000 | [laughter]
00:34:48.000 | And so even in a deep blue state like California,
00:34:51.000 | you're seeing a return to sanity.
00:34:54.000 | - You know, I had a surprise.
00:34:56.000 | I was gonna say "podcasts,"
00:34:58.000 | but when I thought about it, it was obvious to us,
00:35:01.000 | and I think a lot of people,
00:35:03.000 | that podcasts were gonna play a big role.
00:35:05.000 | And it's clear podcasts played a big role,
00:35:09.000 | but I want to specifically shout out
00:35:11.000 | Friedberg and our podcast
00:35:13.000 | for bringing up the topic two or three years ago
00:35:16.000 | of the budget deficit
00:35:18.000 | and our out-of-control spending.
00:35:20.000 | And you harped on this, Friedberg.
00:35:22.000 | [cheers and applause]
00:35:23.000 | And, you know, I thought the election
00:35:27.000 | would be a referendum on Trump's behavior in the past.
00:35:30.000 | I thought it would be a referendum on abortion
00:35:33.000 | and a woman's right to choose,
00:35:34.000 | and I'm not saying these aren't important issues.
00:35:36.000 | But now it's turned out that efficiency of our government
00:35:39.000 | and our fiscal responsibility
00:35:41.000 | and what we pass on to our children
00:35:43.000 | is now the most important issue.
00:35:45.000 | I want to pause for a second. - Hallelujah.
00:35:47.000 | [cheers and applause]
00:35:48.000 | - Yeah, and I think it's a big round of applause for Friedberg
00:35:51.000 | because I just want to pause for a second
00:35:53.000 | of how unpopular that topic was.
00:35:55.000 | We said ourselves on the pod,
00:35:57.000 | there is no way that any politician
00:36:00.000 | will ever take this up
00:36:01.000 | because it's too toxic to talk about cutting spending,
00:36:04.000 | you'll never get elected, et cetera.
00:36:05.000 | And now we're sitting here,
00:36:06.000 | and I think because of you harping on it,
00:36:09.000 | us talking about it,
00:36:10.000 | Elon caring about it,
00:36:12.000 | Vivek, who came on the pod,
00:36:13.000 | and he really got passionate about it,
00:36:16.000 | now we have Doge.
00:36:17.000 | And one of the greatest things
00:36:18.000 | that could happen in this administration,
00:36:20.000 | and I would be very proud, you know,
00:36:22.000 | of your contribution and the pod's contribution to this,
00:36:25.000 | is if we can just control our spending
00:36:28.000 | so we do not mortgage
00:36:30.000 | our children's future disastrously.
00:36:33.000 | And this is the most important thing
00:36:34.000 | over the next year or two.
00:36:35.000 | If you don't like Trump and you didn't vote for him,
00:36:37.000 | you can support Doge, you can support Elon,
00:36:40.000 | you can support having a balanced budget
00:36:43.000 | and us controlling spending.
00:36:45.000 | It is an issue for all Americans, truly.
00:36:48.000 | All right, this is a hot start.
00:36:50.000 | We got a hot start.
00:36:51.000 | Pass me one of those awards there.
00:36:53.000 | - Here you go. - Here we go.
00:36:54.000 | - All right, J. Cal's gonna invite
00:36:55.000 | our first guest tonight.
00:36:58.000 | Look at this.
00:36:59.000 | - Wow.
00:37:00.000 | - This is some serious man love.
00:37:02.000 | - That's me and Chamath.
00:37:04.000 | - Should we clean up the naughty and nice list,
00:37:06.000 | by the way, off the--
00:37:07.000 | - It's an ergonomic representation
00:37:09.000 | of me and Chamath hugging it out.
00:37:12.000 | - It's not easy to give a hug like that
00:37:14.000 | when you're on the spectrum, is it, Sax?
00:37:16.000 | - Not easy.
00:37:17.000 | - But you got through it.
00:37:19.000 | So, it's a strength for him.
00:37:21.000 | Tonight, I'm very proud
00:37:23.000 | to give the award
00:37:25.000 | for setting the most money on fire
00:37:27.000 | in pursuit of a failed campaign
00:37:30.000 | to the one, the only, Aaron Levy,
00:37:33.000 | friend of the pod from Box.
00:37:35.000 | Welcome, Aaron Levy.
00:37:36.000 | [cheers and applause]
00:37:39.000 | ♪ ♪
00:37:43.000 | - This is a very, very special--
00:37:44.000 | - Wow, okay. - Yeah.
00:37:46.000 | ♪ ♪
00:37:48.000 | - Okay, I have no idea why I said yes to this.
00:37:51.000 | So, also, what the hell is this thing?
00:37:55.000 | I think this is the closest I'll ever get
00:37:57.000 | to speaking at the Republican National Convention,
00:37:59.000 | so thank you.
00:38:02.000 | Good to be here.
00:38:04.000 | I have a couple notes.
00:38:08.000 | So, first of all,
00:38:10.000 | why didn't Mark Cuban or Vinod Khosla accept this?
00:38:12.000 | Why is this me?
00:38:13.000 | I don't understand what happened here.
00:38:15.000 | - Vinod doesn't have a sense of humor.
00:38:17.000 | - Okay, okay, so...
00:38:19.000 | All right, so yes,
00:38:21.000 | we did waste a little bit of money on this campaign,
00:38:24.000 | but it went to the Vegas sphere.
00:38:27.000 | So did you see the sphere
00:38:29.000 | and how well that was-- the campaign used that money?
00:38:32.000 | So I decided to do a little bit of a post-mortem,
00:38:35.000 | so we called the campaign and talked to Kamala
00:38:37.000 | just to, you know, understand afterwards,
00:38:39.000 | you know, what the reaction was.
00:38:41.000 | Her response stood out to me, actually, pretty profoundly,
00:38:44.000 | so I actually wrote it down.
00:38:45.000 | I wanted to make sure I got it kind of word for word.
00:38:48.000 | She said, and I quote,
00:38:50.000 | "I'm in the arena trying stuff.
00:38:54.000 | "Some will work, some won't,
00:38:58.000 | "but always learning."
00:39:00.000 | And, you know, I actually felt like that was a really good
00:39:04.000 | and profound way to think about the campaign.
00:39:08.000 | So I left a lot better after hearing that.
00:39:12.000 | So now I do want to congratulate David Sachs.
00:39:17.000 | Obviously on his new role in the administration.
00:39:19.000 | Pretty incredible.
00:39:21.000 | The PayPal mafia takeover of the government is now complete,
00:39:24.000 | so good work on that.
00:39:26.000 | [laughter]
00:39:28.000 | You know, I was getting worried, actually.
00:39:30.000 | So they told me about this, actually, like three or four days ago.
00:39:33.000 | Changed the whole plan, obviously, midway.
00:39:35.000 | Nothing about what is going on right now was the plan.
00:39:38.000 | But I had to kind of say a couple lines about each person,
00:39:41.000 | and so David I was getting worried about because I didn't--
00:39:44.000 | you know, sort of, I've been worried for David
00:39:46.000 | because I didn't know what he would do
00:39:48.000 | given Trump promised to end the war in Ukraine.
00:39:50.000 | Like, what else is David going to talk about?
00:39:53.000 | So, you know, I've known David's views on the war in Ukraine,
00:39:59.000 | but I actually didn't know that it was so serious
00:40:02.000 | that you become a czar.
00:40:04.000 | I mean, that's pretty impressive.
00:40:07.000 | Now, what's cool about David's new role,
00:40:10.000 | leading the Council of Advisors for Science and Technology,
00:40:13.000 | you can kind of think about him as, like, the IT guy of the government now.
00:40:16.000 | [laughter]
00:40:18.000 | So if you have any issues with the DMV website, he is your guy.
00:40:23.000 | And you also have the benefit of being the crypto czar,
00:40:26.000 | so I think if you could just let us know at some point in the conversation,
00:40:29.000 | what do you think the price target is on the Hoctua coin?
00:40:32.000 | Like, where are we headed with this?
00:40:36.000 | Now, David works in the government,
00:40:39.000 | which means we have an inside track for some of the besties.
00:40:42.000 | Which I think will be pretty helpful for various positions in the Cabinet.
00:40:46.000 | And I know there's already a pick for this one,
00:40:49.000 | but if a position happens to open up for Transportation Secretary,
00:40:53.000 | maybe you could let them know that Jason was the first investor in Uber.
00:40:57.000 | [laughter]
00:40:59.000 | And I feel like that would make him an expert in this topic.
00:41:03.000 | Third or fourth, I think, actually.
00:41:06.000 | I was just going off of Wikipedia.
00:41:09.000 | [laughter]
00:41:11.000 | I changed it today in anticipation.
00:41:14.000 | Now, unfortunately, Jason's probably disqualified for the Cabinet,
00:41:18.000 | because somehow he's actually even more woke than me.
00:41:21.000 | [laughter]
00:41:22.000 | This guy loves masks more than Anthony Fauci.
00:41:25.000 | He once tweeted--
00:41:29.000 | and I actually want to be very clear about this.
00:41:31.000 | This was in October of 2021.
00:41:34.000 | He once tweeted, "Not to be a narc,
00:41:36.000 | but half the folks are not wearing masks at the Staples Center right now."
00:41:39.000 | [laughter]
00:41:45.000 | Hashtag super spreader.
00:41:47.000 | [laughter]
00:41:49.000 | I added the hashtag, sorry.
00:41:52.000 | Okay, and speaking of COVID, we're going to bring it home now.
00:41:57.000 | Friedberg, I know this situation must be very difficult for you
00:42:02.000 | with RFK Jr. coming on board.
00:42:04.000 | Everyone knows about preppers building out bunkers in case of disaster, right?
00:42:09.000 | Everybody talks about these kind of preppers.
00:42:11.000 | Friedberg's bunker looks a little bit different than everybody else's right now.
00:42:15.000 | Usually you want to stock up on ammo, cans of beans, et cetera.
00:42:18.000 | For Friedberg, it's obviously quinoa, but--
00:42:21.000 | [laughter]
00:42:22.000 | He has one of every vaccine, tons of pesticides,
00:42:25.000 | and a lifetime supply of fluoride packed away.
00:42:28.000 | [laughter]
00:42:29.000 | So we're getting ready for anything that could come next in this government.
00:42:32.000 | Anyway, in all seriousness, thanks for this incredible honor,
00:42:37.000 | whatever this thing is.
00:42:38.000 | I'm extremely optimistic for the path ahead in America.
00:42:42.000 | We have a lot we can get done.
00:42:44.000 | So excited for that. Let's do it.
00:42:45.000 | Thank you. Have a seat. Join us.
00:42:47.000 | Give it up, everybody, for Aaron Levy.
00:42:49.000 | Well done.
00:42:50.000 | Come join us.
00:42:51.000 | All right.
00:42:52.000 | [applause]
00:42:55.000 | Aaron's going to hang out and do the next couple of awards with us.
00:42:58.000 | I just want to say that Aaron is my favorite white dude for Harris.
00:43:02.000 | [laughter]
00:43:05.000 | All right. The official line is beta male for Harris.
00:43:08.000 | That was--you got that wrong.
00:43:10.000 | I'll let Mark Cuban know he's number two.
00:43:12.000 | [laughter]
00:43:14.000 | You know, I just realized I was the Series B investor in both of your companies.
00:43:21.000 | You know, it's incredible that David Sachs blew off the typical ceiling that you have
00:43:26.000 | being a B2B SaaS founder.
00:43:28.000 | So this means we have something we can now strive for.
00:43:31.000 | So this is incredible.
00:43:33.000 | All right.
00:43:34.000 | We're going to do another set of awards here.
00:43:36.000 | Let's get this back on track.
00:43:37.000 | But actually, can we be--it was pretty cool, though,
00:43:40.000 | that the literal upcoming president of America mentioned Yammer in a tweet.
00:43:44.000 | I mean, that is actually pretty cool.
00:43:48.000 | That was pretty great.
00:43:49.000 | I was surprised you didn't get a genie mentioned in there.
00:43:51.000 | It's a deep pull.
00:43:53.000 | Let's go over to our next set of awards.
00:43:55.000 | This first one is Best CEO, Not Named Elon Musk.
00:43:58.000 | So this is our yearly award for the Best CEO, Not Named Elon Musk.
00:44:04.000 | Who do you got, Freeberg?
00:44:05.000 | Jensen.
00:44:06.000 | Jensen, an obvious one.
00:44:08.000 | I mean, everyone knows the numbers.
00:44:10.000 | What else is there to say?
00:44:11.000 | Okay.
00:44:12.000 | That guy has been compounding.
00:44:14.000 | And the crazy thing about compounding is if you zoom out at the end,
00:44:17.000 | everything looks pretty slow and flat and steady for a while until the end.
00:44:20.000 | And he's built so many advantages into that business,
00:44:23.000 | and it's finally paying off.
00:44:25.000 | The macro was right, technology advantage, everything.
00:44:27.000 | It's just extraordinary patience, diligence, execution.
00:44:31.000 | Okay, Best CEO, Not Named Elon Musk.
00:44:33.000 | What do you got, Shamak?
00:44:34.000 | Dave Ricks, the CEO of Eli Lilly.
00:44:37.000 | Okay.
00:44:38.000 | Managed to build a billion-dollar company and is just ripping.
00:44:41.000 | Ripping.
00:44:42.000 | Seems unstoppable.
00:44:43.000 | Sax, who's your Best CEO, Not Named Elon Musk?
00:44:47.000 | Well, I mean, Freeberg's right.
00:44:48.000 | If you look at the Mag 7, Jensen had the best performance.
00:44:52.000 | But since that one was taken,
00:44:54.000 | the number two actually was Mark Zuckerberg.
00:44:57.000 | You know, he's--
00:44:59.000 | Hold on.
00:45:00.000 | He's been sneaky creeping up there.
00:45:02.000 | I mean, if you look at Facebook's performance or Meta's performance over the last two years,
00:45:06.000 | it's up 500%.
00:45:08.000 | So it has done surprisingly well.
00:45:11.000 | And I will give him credit for back in August,
00:45:15.000 | he wrote a letter basically apologizing for the censorship that Meta had done
00:45:21.000 | exposing the government's role and the FBI's role in the whole Hunter Biden cover-up,
00:45:27.000 | which he did not have to do at that point in time.
00:45:29.000 | It was not clear yet that Trump was going to win the election.
00:45:33.000 | So I think he deserves a little bit of credit for basically--
00:45:36.000 | A little bit?
00:45:37.000 | --for wanting to do the right thing on free speech.
00:45:39.000 | But in all honesty, how long did you make him wait to meet with Donald Trump at Mar-a-Lago last week?
00:45:45.000 | How long was the wait?
00:45:46.000 | Did you put an extra hour on the wait?
00:45:48.000 | Okay. Did you have a best CEO not named Elon Musk, Aaron Levy?
00:45:52.000 | I'm actually going to steal saxes.
00:45:55.000 | Zuck, for a very different kind of reason,
00:45:58.000 | but I think Zuck is our counterpressure on the price of AI right now.
00:46:02.000 | And I think that he has a way of monetizing AI that is--
00:46:08.000 | I mean, Google kind of has a similar thing, but they have a more existential challenge
00:46:11.000 | that I think they're actually doing relatively well kind of dealing with.
00:46:14.000 | And Zuck, just to improve ads, can give away AI for the world
00:46:19.000 | and keep everybody on their toes in terms of driving down the price.
00:46:22.000 | So I think that's good for all of us.
00:46:24.000 | All right. Well done.
00:46:25.000 | I also had Jensen, for obvious reasons.
00:46:27.000 | Let's go with best investor.
00:46:30.000 | The NVIDIA crowd here is great.
00:46:32.000 | Just sponsor the show next year, guys.
00:46:35.000 | You could be in the VIP. You can afford it.
00:46:37.000 | I don't know why you guys are in Section Z.
00:46:41.000 | Unbelievable. Maybe they're frugal.
00:46:43.000 | I guess Jensen's checking those expense accounts.
00:46:45.000 | Who do you got as your best investor, Friedberg?
00:46:48.000 | I just gave the best investor to the best public trade of the year,
00:46:52.000 | which was Druckenmiller, when he shorted treasuries.
00:46:55.000 | Told everyone inflation is not under control yet.
00:46:58.000 | We still have a ways to go.
00:47:00.000 | No one was listening. He shorted treasuries.
00:47:02.000 | We don't know what the actual ins and outs were,
00:47:04.000 | but he has an incredible ability to be so very prescient, very public,
00:47:08.000 | very, like, direct when he has big bets and be right.
00:47:11.000 | Even if it is just a trade, I don't know what net returns are, etc.
00:47:15.000 | But, man, that guy, when he talks, you got to listen.
00:47:19.000 | Chamath, who's the best investor of 2024 in your mind, besides yourself?
00:47:26.000 | I was going to say me, but--
00:47:28.000 | We know.
00:47:31.000 | I'd give it to Michael Saylor.
00:47:33.000 | I think that--
00:47:34.000 | Whoa!
00:47:35.000 | Bitcoin Max is in the back.
00:47:36.000 | I think he's found this incredible--
00:47:39.000 | He's an investor.
00:47:41.000 | I mean, he's the executive chairman of MicroStrategy,
00:47:44.000 | so he's not really involved in the day-to-day.
00:47:46.000 | He's really running their Bitcoin position,
00:47:48.000 | and he's created this massively levered, long Bitcoin play.
00:47:55.000 | He's borrowing money at essentially zero.
00:47:59.000 | His returns are bananas right now.
00:48:01.000 | What could go wrong?
00:48:03.000 | Sax, who is your best investor?
00:48:06.000 | I had Druckenmiller as well for a similar reason,
00:48:09.000 | which is it wasn't just the Treasury bet.
00:48:11.000 | It's the fact that he's been warning for years
00:48:13.000 | that the U.S. fiscal situation is unsustainable.
00:48:16.000 | And in a way, he's like the investor version of Doge.
00:48:20.000 | He's basically saying, "If we don't fix this,
00:48:23.000 | we're going to have a huge, huge problem."
00:48:25.000 | Aaron, do you have a best investor for 2024 you can share?
00:48:29.000 | I think the solo GP kind of cohort,
00:48:33.000 | but Nat Friedman and Daniel Gross,
00:48:37.000 | they're quietly building
00:48:39.000 | probably one of the most powerful AI portfolios
00:48:42.000 | that we're going to see kind of play out.
00:48:45.000 | So they were first in line in this wave,
00:48:47.000 | and I think they're on top of it.
00:48:50.000 | Okay, obviously an LP in the firm.
00:48:52.000 | And so I'm going to go with Peter.
00:48:55.000 | I'm just taking a guess, an educated one.
00:48:58.000 | Best investor for me was Peter Thiel, but on two tracks.
00:49:02.000 | Obviously, Peter's been in some of the great companies
00:49:05.000 | through Founders Fund, including SpaceX.
00:49:07.000 | But he also picked Trump, he also picked Vance,
00:49:09.000 | and he also picked Sachs.
00:49:11.000 | So I think it's undeniable that Peter Thiel
00:49:13.000 | is just a great picker, hands down,
00:49:15.000 | one of the greatest investors,
00:49:17.000 | whether it's in people, politics, or businesses.
00:49:20.000 | So I give it to Peter Thiel.
00:49:22.000 | Let's do our best new product, best new product of 2024.
00:49:27.000 | Aaron, I'm going to start with you this time.
00:49:29.000 | What's the best new product that you launched at Box?
00:49:32.000 | We do, but I'll exclude ourselves from this.
00:49:35.000 | But I think the wave of voice AI I'm most compelled by right now
00:49:41.000 | as sort of the 2024--
00:49:43.000 | you can see the semblance of actually a new paradigm for mobile.
00:49:49.000 | We've kind of had the same thing on mobile for 20 years.
00:49:52.000 | And so the ability to actually, in a high-quality way,
00:49:55.000 | talk to your phone, have it do something,
00:49:58.000 | I think you're starting to see signs.
00:50:00.000 | The latest version of Gemini is just incredibly powerful.
00:50:04.000 | Perplexity has very good work here.
00:50:06.000 | Chat GPT, advanced voice mode.
00:50:08.000 | So I think you're going to start to see this shape
00:50:10.000 | kind of computing in the next couple of years.
00:50:13.000 | Sachs, any new products this year that captured your imagination?
00:50:17.000 | Yeah, I think this is the year that self-driving finally broke through.
00:50:21.000 | Obviously, Tesla's got full self-driving,
00:50:23.000 | but also this Waymo One app, people are going wild over it.
00:50:26.000 | I think this is the year that self-driving broke through,
00:50:29.000 | and I think next year it's going to get bigger and bigger.
00:50:31.000 | Chamath, best new product this year?
00:50:33.000 | I'll pick the 2024 King's Cashmere collection from Loro Piana.
00:50:40.000 | That was my number two.
00:50:42.000 | Exceptional, like a baby's foreskin.
00:50:45.000 | Okay, I think--
00:50:47.000 | I just got a message that Loro Piana made a big drop-off at your house.
00:50:52.000 | Okay, unbelievable.
00:50:54.000 | I would just like to say the best new product of the year
00:50:56.000 | is anything Tom Ford made, so I'd like to pander as well.
00:50:59.000 | What do you got, Freeberg?
00:51:01.000 | I was with Aaron.
00:51:03.000 | I think advanced voice AI is a game-changing new UX.
00:51:07.000 | It's going to change computing, and it's weird.
00:51:10.000 | When you start using it, you can have a dialogue,
00:51:13.000 | learn something you never thought you could learn,
00:51:15.000 | and just ask questions and engage like you're speaking to your own personal tutor.
00:51:19.000 | It's incredible.
00:51:21.000 | Very interestingly, we have two people talking about voice AI,
00:51:24.000 | and Sax, I was with you.
00:51:26.000 | I think this is the year that self-driving is actually manifesting
00:51:29.000 | across nine different companies.
00:51:31.000 | The companies in China, there are six or seven of them actually active,
00:51:34.000 | as well as obviously Waymo and FSD 12.X has been really a major upgrade,
00:51:41.000 | so I went with self-driving.
00:51:43.000 | That's our amazing cohort.
00:51:45.000 | Let's give it up for Mr. Aaron Levy.
00:51:48.000 | Thanks, all. Thank you.
00:52:12.000 | Here's your chart.
00:52:13.000 | We had this great moment of hourly earnings growth going up,
00:52:16.000 | so how much people make on average.
00:52:18.000 | You're probably wondering why I look so bored.
00:52:20.000 | I mean, honestly, I want these dipshits to stop blabbering on,
00:52:24.000 | pass me the ball, and get the f*ck out of the way.
00:52:27.000 | The wine is delicious, by the way.
00:52:29.000 | If only we could do an episode my way.
00:52:34.000 | Hey, everybody, welcome to the All In Podcast.
00:52:37.000 | For the first time ever, I, Chamath, the dictator, am moderating.
00:52:43.000 | I've replaced the besties with a couple of special guests.
00:52:46.000 | We literally have three of the world's greatest minds and bodies on the show.
00:52:53.000 | First up, let me welcome one of Silicon Valley's most legendary investors, Chamath.
00:52:59.000 | Thanks, Chamath.
00:53:00.000 | By the way, that is a beautiful sweater.
00:53:03.000 | Okay, but let's cut the sh*t and let's get right into the show,
00:53:06.000 | because honestly, this could be the best episode ever.
00:53:09.000 | You're right, Chamath.
00:53:10.000 | Let's start with markets today, because we also have
00:53:13.000 | one of the greatest public market prognosticators in the world.
00:53:16.000 | What is going on with the economy, Chamath?
00:53:20.000 | Great question, Chamath.
00:53:21.000 | Well, look, I think the U.S. economy, honestly, is a tightly coiled spring.
00:53:25.000 | The future looks unbelievably bright.
00:53:28.000 | Or we're in a recession.
00:53:29.000 | My gosh, I couldn't have said it better myself.
00:53:31.000 | Okay, guys, let's get into Science Corner next.
00:53:34.000 | We have another brilliant mind on the show,
00:53:37.000 | technically incredible, a scientific genius.
00:53:40.000 | Tell us what you've made, Chamath.
00:53:43.000 | Well, I'm really excited to share that my new company, Shmoshmallow,
00:53:48.000 | has come up with a new way to grow perfect grapes in any weather.
00:53:55.000 | So now every grape can produce a 1992 Chateau Latour.
00:54:01.000 | What? That's incredible!
00:54:03.000 | Can I invest a billion dollars?
00:54:04.000 | Well, we're going to have to see about that, Chamath.
00:54:06.000 | Wow, guys, this truly is the best episode ever.
00:54:11.000 | Orgasmic!
00:54:19.000 | All right, we're going to move on.
00:54:22.000 | I would watch that show.
00:54:23.000 | We're going to welcome our second in-person award winner.
00:54:26.000 | I would watch that show. I want to see that.
00:54:28.000 | Our second in-person award winner of the night,
00:54:31.000 | our award for second best Botes sister,
00:54:34.000 | please welcome Alex Botes.
00:54:36.000 | All right, friend of the pod.
00:54:38.000 | [music]
00:54:49.000 | Can you guys hear me?
00:54:50.000 | Well, good, because I have some awards to give out as well.
00:54:54.000 | Oh, no.
00:54:56.000 | Chamath, congratulations on the most likely to think of Elon
00:55:00.000 | when making love.
00:55:04.000 | Do you guys remember when Chamath
00:55:06.000 | was posting thirst traps on Twitter?
00:55:09.000 | Imagine being a billionaire so annoying
00:55:12.000 | that you still need a six-pack to get laid.
00:55:18.000 | Next up, please join me in saluting
00:55:21.000 | America's first czar, All Hail Sax.
00:55:28.000 | Congratulations on no longer being the least successful
00:55:31.000 | of the PayPal mafia.
00:55:33.000 | [laughter]
00:55:36.000 | Oh, that one stung.
00:55:39.000 | It's good to see J-Cal laughing.
00:55:42.000 | I'm surprised you showed your face tonight
00:55:44.000 | after Palmer Lucky annihilated you last summit.
00:55:49.000 | Congratulations on proving that ass-kissing can be a career.
00:55:54.000 | This year, you win most investments, least exits award.
00:55:58.000 | Thank you. Thank you.
00:56:01.000 | Okay, guys, this next one is a little bit spicy.
00:56:05.000 | J-Cal gets pegged by the VC industrial complex,
00:56:09.000 | and each time he whimpers "Uber" as his safe word.
00:56:15.000 | And last but not least, David Friedberg,
00:56:19.000 | the human equivalent of Soylent.
00:56:22.000 | Oh! Ooh!
00:56:25.000 | Jamaad likes that.
00:56:26.000 | Friedberg definitely got bullied all his life,
00:56:29.000 | but lucky for him, being autistic is now trendy.
00:56:34.000 | But, hey, I got to give credit where it's due.
00:56:37.000 | Friedberg, thank you for making the world a better place
00:56:41.000 | for Monsanto shareholders.
00:56:43.000 | [laughter]
00:56:45.000 | Thank you very much, everyone. I'm Alex Bowden.
00:56:47.000 | Okay. Thank you, Alex Bowden.
00:56:49.000 | [cheers and applause]
00:56:52.000 | All right.
00:56:55.000 | Well, you know, let's do our congratulations.
00:56:57.000 | Alex, welcome back to the stage.
00:56:59.000 | Thank you for having me.
00:57:00.000 | It's great to see you.
00:57:01.000 | Last time you were here, you beat three or four of us
00:57:04.000 | at the same time playing chess.
00:57:06.000 | Two of four.
00:57:07.000 | Two of four, and what?
00:57:09.000 | She had a push with one of you, a stomach?
00:57:11.000 | I blundered the queen, but I won on time.
00:57:13.000 | Okay, you won on time.
00:57:14.000 | I don't really give it to myself.
00:57:16.000 | How much have you been thinking about your defeat by Saks
00:57:19.000 | over the last six months?
00:57:21.000 | Clearly a lot after that roast.
00:57:23.000 | Yes, it explains a lot.
00:57:25.000 | Not that you're competitive.
00:57:26.000 | You know, we have some amazing awards to give.
00:57:29.000 | Let's go with our favorite media, favorite media of 2024.
00:57:33.000 | Did you have a favorite media pick, Saks?
00:57:35.000 | Well, it's got to be podcasts, and I don't just mean our own.
00:57:38.000 | Like, pretty much all I watch these days are just podcasts,
00:57:41.000 | you know, so I never watch any network TV anymore.
00:57:44.000 | Do you have a specific one that comes to mind?
00:57:48.000 | Well, if--
00:57:49.000 | It begins with a T.
00:57:51.000 | If I could only pick one that's not us,
00:57:54.000 | there's a podcast called The Duran
00:57:56.000 | that I like a lot on international affairs,
00:57:59.000 | so check that one out.
00:58:00.000 | Oh, okay, deep pull, deep pull.
00:58:02.000 | Tucker's going to be brokenhearted.
00:58:04.000 | Chamath, favorite media, 2024.
00:58:06.000 | This is--the director is a friend of ours.
00:58:09.000 | His name is Francesco Carozzini.
00:58:11.000 | The show is called Super Sex on Netflix.
00:58:15.000 | It is about the life of the Italian porn star Rocco Soffredi.
00:58:20.000 | It's phenomenal.
00:58:22.000 | It builds, there's drama, it's about his life as a kid,
00:58:26.000 | it's his relationship with his mom,
00:58:28.000 | his relationship with his older brother.
00:58:31.000 | It's really good.
00:58:33.000 | Super Sex on Netflix.
00:58:35.000 | Okay, so Chamath just picked Pornhub for his favorite media.
00:58:40.000 | Great, deep pull, so to speak.
00:58:44.000 | Freeberg?
00:58:45.000 | Dune 2.
00:58:47.000 | Come on, it was unbelievable.
00:58:49.000 | I did not think that Dune 2 could beat Dune.
00:58:52.000 | The black--I mean, you saw, you're a little--
00:58:55.000 | Don't act like you're not a nerd on the cinema right now.
00:58:59.000 | You can't do that.
00:59:00.000 | Dune 2 is pretty great.
00:59:01.000 | It's pretty amazing.
00:59:02.000 | You know, I wanted to come up with something a little bit more recent,
00:59:05.000 | so I went with Day of the Jackal.
00:59:07.000 | It's a new show based on the 1970s thriller.
00:59:09.000 | I just watched episode 8.
00:59:10.000 | Nat and I watched it before we came up.
00:59:12.000 | Good.
00:59:13.000 | Great, episode 8.
00:59:14.000 | Have you seen episode 8?
00:59:16.000 | I watched episode 8.
00:59:17.000 | Yes, it's great.
00:59:18.000 | Awesome.
00:59:19.000 | Phenomenal.
00:59:20.000 | So just, you know, great pull.
00:59:21.000 | Alex, what do you got?
00:59:22.000 | Any favorite media for 2024?
00:59:25.000 | Hawk 2 Up, but listen up, not what she did with the meme coin,
00:59:29.000 | but I've never seen anybody ride her 15 seconds of stardom
00:59:34.000 | the way she was able to do,
00:59:35.000 | especially when it's so hard to become viral across all platforms nowadays.
00:59:40.000 | She was like a top 10 podcast for a couple weeks, right?
00:59:44.000 | Yeah, I think she peaked at number three.
00:59:46.000 | Yeah, it is pretty incredible.
00:59:47.000 | Inside story, the week Hawk 2 Up happened,
00:59:51.000 | we were going to have her on the pod.
00:59:52.000 | Sax and I were like, "Yeah, great pull.
00:59:54.000 | We should do it."
00:59:56.000 | And guess who spiked it?
00:59:58.000 | Not Shamov.
01:00:00.000 | We could have had Hawk 2 Up on the pod to talk about Ukraine,
01:00:04.000 | to talk about Kamala.
01:00:06.000 | I mean, the world needed to know her take.
01:00:09.000 | Let's--imagine right after that clip comes out,
01:00:12.000 | let's have a bunch of guys talk to her and be like,
01:00:15.000 | "Yeah, what do you think?"
01:00:16.000 | and not look like a bunch of creepers.
01:00:18.000 | That would have been a terrible idea.
01:00:21.000 | I still stand by the strike.
01:00:22.000 | Your editorial instincts remain terrible.
01:00:26.000 | Sax, best startup of the year.
01:00:29.000 | I'm just going to use this to promote my own thing.
01:00:32.000 | Yes, of course.
01:00:33.000 | I go glue, I go glue.
01:00:34.000 | Glue, of course.
01:00:35.000 | Fantastic.
01:00:36.000 | Shamov, your best startup of the year.
01:00:38.000 | I'm going to go with O'Halo.
01:00:40.000 | Oh, wait a second.
01:00:42.000 | I want grapes the size of my balls.
01:00:47.000 | I want strawberries--hold on.
01:00:49.000 | I want strawberries the size of women's boobs.
01:00:53.000 | I want potatoes the size of butt cheeks.
01:00:56.000 | It's going to be fabulous.
01:00:57.000 | The world's going to be incredible.
01:00:58.000 | But you have not--none of them--
01:00:59.000 | No, no, no.
01:01:00.000 | Kidding aside, I do think what Freeberg is doing is bananas.
01:01:04.000 | But true story, none of us have been able to wet our beaks in O'Halo yet.
01:01:08.000 | None of us except Founders Fund.
01:01:09.000 | No, he offers us a chance to invest every time a round is closed
01:01:13.000 | and a new valuation is set.
01:01:15.000 | Unbelievable.
01:01:16.000 | With friends like this.
01:01:17.000 | Freeberg, would you like to commit at getting us all in?
01:01:19.000 | Well, now I've got to say 80/90 and glue.
01:01:21.000 | I mean, it's tied.
01:01:23.000 | But I will say we've obviously talked a lot about the thesis behind 80/90.
01:01:27.000 | I'm an investor; you're an investor.
01:01:30.000 | But I put Anderle as my winner because--
01:01:33.000 | Yeah, friend of the pod, Palmer Lucky.
01:01:35.000 | I will say just talking about the collapse of Boeing, the new administration,
01:01:40.000 | and the number of people that are around Anderle that are also now around the administration
01:01:43.000 | creating a merit-based system for defense spending
01:01:46.000 | to kind of upgrade systems and strategies in defense, it's inevitable.
01:01:50.000 | If you look at what China's doing, the U.S. is going to have to respond accordingly.
01:01:54.000 | He's like another one of these crazy people which is like,
01:01:57.000 | how does he go from building a VR headset to--
01:01:59.000 | Well, he also made this game system called Chromatic.
01:02:02.000 | I mean, he's incredible.
01:02:03.000 | The guy's a genius.
01:02:04.000 | But, I mean, the whole business is set up with just a great group of investors.
01:02:08.000 | It's perfectly aligned.
01:02:09.000 | The macro is right.
01:02:10.000 | I just think that that's going to be the next Boeing.
01:02:12.000 | Yeah, great timing.
01:02:13.000 | It's of the moment.
01:02:14.000 | What do you got, Alex?
01:02:15.000 | Do you have a great favorite startup?
01:02:16.000 | I like Anthropic because I like Claude a lot.
01:02:19.000 | And also, I'm not going to say OpenAI
01:02:22.000 | because I don't know what they're going to do with all the rumors lately,
01:02:25.000 | but I do use ChatGPT even more.
01:02:27.000 | Okay, well done.
01:02:28.000 | And I picked Athena, one of our great investments this year
01:02:31.000 | that has tripled revenue.
01:02:33.000 | I'm very proud of the team over there.
01:02:35.000 | Let's go with biggest flop.
01:02:37.000 | Do you have a biggest flop, Chamath, this year?
01:02:40.000 | Okay, this is going to be a controversial take.
01:02:43.000 | I think the biggest--I don't want to say it's a flop,
01:02:49.000 | but I think the biggest disappointment of this year, to me, was OpenAI.
01:02:54.000 | I'll tell you why.
01:02:55.000 | I think they are the most at risk,
01:02:59.000 | mostly because of things that are out of their control.
01:03:02.000 | So, number one, I think the quality of these models have hit a wall,
01:03:08.000 | and it's the folks that own private information--
01:03:13.000 | for example, what Elon owns through X--
01:03:17.000 | that is going to make the game changer in the quality of the models.
01:03:20.000 | Two, he's actually bought now not just the largest NVIDIA cluster,
01:03:27.000 | but he's promised to buy 900,000 more.
01:03:30.000 | Do you know what happens when you buy 100,000
01:03:32.000 | and then promise to buy 900,000?
01:03:35.000 | Not only are you at the front of the line, you consume NVIDIA's attention.
01:03:40.000 | And what that means is it's going to be so hard for everybody else
01:03:44.000 | to get a hold of what they need to train.
01:03:47.000 | I think it's a very tricky situation for those guys.
01:03:52.000 | Sax, you got a biggest flop for the year? Biggest flop?
01:03:56.000 | My biggest flop was the self-declared knucklehead, Tim Waltz,
01:04:02.000 | from Minnesota.
01:04:06.000 | Freeberg?
01:04:07.000 | Apple Vision Pro.
01:04:09.000 | Apple Vision Pro?
01:04:10.000 | Yeah, I think it's a great start. It feels like the Apple Newton.
01:04:13.000 | It's definitely going to usher in kind of a new computing platform,
01:04:16.000 | but it's definitely not prime-time ready, as we saw with the sales.
01:04:20.000 | Alex, did you have a biggest flop for the year?
01:04:22.000 | The Netflix cover of the Jake Paul-Mike Tyson fight.
01:04:26.000 | It was their first--
01:04:27.000 | Oh, yeah.
01:04:28.000 | Good call, good call.
01:04:29.000 | That was a good one, yeah.
01:04:30.000 | I mean, they were into live sports,
01:04:32.000 | and they just couldn't keep up with the streaming capabilities,
01:04:34.000 | and then they got hit with a $50 million lawsuit.
01:04:37.000 | Do you think it was fake?
01:04:39.000 | Do I think it was fake?
01:04:41.000 | I don't think so.
01:04:42.000 | I think Mike Tyson actually needed the money,
01:04:44.000 | and that's probably why he fought.
01:04:47.000 | But you think he tried fully, like he went--
01:04:49.000 | I think he tried his best.
01:04:51.000 | Yeah.
01:04:52.000 | Doesn't your sister box?
01:04:54.000 | Doesn't your sister do boxing?
01:04:56.000 | My sister does box, yeah,
01:04:57.000 | but tonight she'll be DJing at the after party.
01:04:59.000 | She'll be kicking ass on the ones and the twos.
01:05:02.000 | Yeah.
01:05:03.000 | You know, Friedberg used to DJ in college.
01:05:06.000 | I heard Friedberg used to rave, actually.
01:05:08.000 | Is that true?
01:05:10.000 | Friedberg used to drop the beat.
01:05:16.000 | My biggest--
01:05:17.000 | It doesn't get old.
01:05:18.000 | I mean, what do I say?
01:05:19.000 | My biggest flop was Boeing's Starliner embarrassment.
01:05:22.000 | I mean, if you bring astronauts up to the space station,
01:05:25.000 | you're kind of obligated to get them back down.
01:05:27.000 | That's true.
01:05:28.000 | Yeah.
01:05:29.000 | That's-- I can't think of anything worse than that.
01:05:32.000 | That's a great-- that's a great call, actually.
01:05:34.000 | Okay.
01:05:35.000 | Thank you, Alex, for joining us.
01:05:36.000 | Let's thank Alex Botez.
01:05:37.000 | Well done.
01:05:38.000 | Big round of applause for our friend of the pod, Alex Botez.
01:05:40.000 | And by the way--
01:05:41.000 | Thank you.
01:05:42.000 | [music]
01:05:52.000 | All right, we have one more award to do.
01:05:54.000 | Two more awards.
01:05:55.000 | Two more awards.
01:05:57.000 | Here we go.
01:05:58.000 | The biggest sports story and the moment of the year.
01:06:02.000 | Biggest sports story, a little sports in here,
01:06:05.000 | and then the moment of the year.
01:06:07.000 | Chamath, do you have the biggest sports story of the year?
01:06:11.000 | I think it's Brawny James playing with his dad, LeBron.
01:06:18.000 | I think it was an incredible moment,
01:06:20.000 | and I think LeBron deserved it for everything he's done for the NBA.
01:06:24.000 | All right, well done.
01:06:25.000 | What about you, Sax?
01:06:26.000 | Do you have a best sport?
01:06:28.000 | I know you're not physically active at all, but do you have a sports--
01:06:34.000 | Well, I think the biggest sports story of the year was the Olympics,
01:06:37.000 | and really the memes that came out of the--
01:06:39.000 | I didn't really watch the Olympics.
01:06:41.000 | I just saw the memes.
01:06:42.000 | That's what I was in it for.
01:06:44.000 | And we had that trans last supper.
01:06:47.000 | There was that shooter from Turkey, and the pole vaulter.
01:06:55.000 | Pole vaulter, yeah.
01:06:56.000 | Remember the pole vaulter?
01:06:57.000 | Yeah, Chamath.
01:06:58.000 | He was moonlighting as the pole vaulter.
01:07:00.000 | That's happened to me a couple times.
01:07:02.000 | That was what I remember.
01:07:03.000 | Pole vaulter was pretty depressing.
01:07:05.000 | Freiburg?
01:07:06.000 | I went with Australian hip-hop at the Olympics.
01:07:10.000 | Australian hip-hop at the Olympics.
01:07:11.000 | But I do think that that moment really kind of showed everyone
01:07:16.000 | how ridiculous things had gotten.
01:07:20.000 | And it was like, at least in certain circles,
01:07:23.000 | it felt very resident of a broader set of things that were happening.
01:07:26.000 | And everyone was like, "How is this an Olympic sport?
01:07:30.000 | How is this happening?"
01:07:31.000 | And it made a lot of people start to question the sanity
01:07:34.000 | of a lot of the institutions around us and things that were going on.
01:07:37.000 | Yeah, and I too thought the biggest moment in sports was at the Olympics,
01:07:40.000 | and just gender in sports generally as a topic,
01:07:43.000 | which we're going to need to get through as a society,
01:07:46.000 | where we have not only transgender individuals but intersex folks.
01:07:50.000 | We need to work this issue out in good faith and have, I think,
01:07:53.000 | a thoughtful dialogue about it, specifically with the boxing
01:07:56.000 | and some of the other sports.
01:07:58.000 | Let's go to our moment of the year.
01:08:00.000 | The moment of the year.
01:08:02.000 | I'll kick it off, Sax.
01:08:04.000 | I thought the moment of the year for me was not the assassination attempt
01:08:08.000 | at Trump, obviously, but his reaction to it.
01:08:11.000 | When he got up and he pumped his fist and he said, "Fight, fight, fight,"
01:08:14.000 | I think you got an idea of his character and that he wasn't going to give up.
01:08:18.000 | [applause]
01:08:20.000 | And thank God that he wasn't hit by that bullet.
01:08:24.000 | I know it was an inch.
01:08:25.000 | Yeah, 100%. I mean, that was mine too, 100%.
01:08:27.000 | That was like the moment of the year, the photo of the year.
01:08:30.000 | That's the image we're always going to remember.
01:08:32.000 | Pretty iconic, yeah.
01:08:34.000 | What do you got for the moment of the year, Chamath?
01:08:38.000 | March 16th.
01:08:41.000 | It was a Saturday.
01:08:43.000 | It was the greatest sexual encounter of my life.
01:08:46.000 | [laughter]
01:08:47.000 | I gave Nat an enormous internal "oh."
01:08:50.000 | All by myself.
01:08:52.000 | Wait, wait.
01:08:54.000 | [laughter]
01:08:58.000 | Okay, so wait, the greatest moment of the year
01:09:01.000 | was the sexual encounter that you had--
01:09:05.000 | With my wife.
01:09:06.000 | With your wife.
01:09:08.000 | Really, you know, it's interesting.
01:09:10.000 | I think we all got the tsunami warning when that happened.
01:09:13.000 | It was pretty-- it shattered the whole Bay Area.
01:09:17.000 | Freeberg, would you like to also pick the 17 seconds
01:09:21.000 | of your latest sexual encounter?
01:09:23.000 | [laughter]
01:09:27.000 | It was the Trump assassination attempt.
01:09:31.000 | So we had consensus here
01:09:34.000 | of what the most iconic moment of the year was.
01:09:37.000 | When it happened, I was sitting outside
01:09:39.000 | having beer with a bunch of people.
01:09:41.000 | And I remember there was, like, 12 of us.
01:09:43.000 | And we looked around the table, and everyone was like,
01:09:45.000 | "He just won the election."
01:09:47.000 | That was it.
01:09:48.000 | It was, like, in that moment, I knew--
01:09:50.000 | It felt like that was it.
01:09:51.000 | So I think it defined the year.
01:09:55.000 | Okay, so that concludes
01:09:58.000 | all of the amazing awards we've given.
01:10:00.000 | That is.
01:10:01.000 | That's our awards.
01:10:02.000 | Do you want to do a--
01:10:04.000 | I don't know, maybe end with a little Christmas card?
01:10:06.000 | What you're grateful for, looking forward,
01:10:08.000 | hope for the New Year, and then we'll kind of--
01:10:10.000 | Well, you know, it's always a good time
01:10:11.000 | at the end of the year to reflect
01:10:13.000 | on the pod, on the community,
01:10:16.000 | and what we all experienced this year.
01:10:19.000 | Obviously, a major eventful year.
01:10:22.000 | Looking into next year,
01:10:23.000 | maybe what we learned this year,
01:10:25.000 | having just great conversations
01:10:28.000 | on the pod and off the pod,
01:10:30.000 | in the group chat, at the summit.
01:10:33.000 | Any reflections on the year that was, Shamath?
01:10:36.000 | And then maybe some hope for 2025.
01:10:41.000 | I'll just remind everybody that we are
01:10:44.000 | the sum of our family and our friends.
01:10:47.000 | This year, you moved away,
01:10:50.000 | which is really heartbreaking.
01:10:53.000 | One of our really great friends in the poker game
01:10:57.000 | has been struggling with
01:10:59.000 | a bunch of very serious health issues.
01:11:03.000 | So it's just a reminder for me that,
01:11:07.000 | you know, it just goes by really fast.
01:11:09.000 | I feel really lucky to be around you guys.
01:11:12.000 | I feel really lucky that folks like you exist.
01:11:16.000 | Thank you for listening.
01:11:18.000 | I love all of you.
01:11:20.000 | Thank you.
01:11:23.000 | Saks, would you like to try to channel emotion
01:11:27.000 | as we wrap up the show and reflect on
01:11:30.000 | feelings that might have come up
01:11:34.000 | inside of that meat sack, yeah, over there?
01:11:41.000 | Call him a meat sack?
01:11:43.000 | I mean, to be honest, I was starting to feel
01:11:45.000 | really annoyed with you, J. Cal, on the pod.
01:11:48.000 | I wasn't sure how much longer I could put up with it,
01:11:51.000 | to be perfectly frank.
01:11:53.000 | But, you know, tonight,
01:11:55.000 | you kind of remind me why it's fun to do this.
01:11:58.000 | Oh, thank you.
01:11:59.000 | And so, yeah, I'm very happy to be here tonight
01:12:01.000 | and be part of this.
01:12:03.000 | Well, yeah, reflecting on it, thank you.
01:12:06.000 | I, too, am reminded
01:12:09.000 | how absolutely insufferable it is
01:12:12.000 | to talk about Ukraine every week.
01:12:15.000 | But that I love you and spending time with you,
01:12:19.000 | all three of you, and debating this
01:12:22.000 | and learning together and growing as men
01:12:25.000 | and maybe trying to help and give back.
01:12:28.000 | You know, there's so many positive things
01:12:30.000 | that come out of a good faith discussion.
01:12:33.000 | And, you know, we argue, we fight, we debate,
01:12:37.000 | but we always come together every week
01:12:39.000 | and we start it all over again.
01:12:41.000 | And we are cantankerous and we're perfectionists
01:12:45.000 | and we really try to make this a great product
01:12:48.000 | and we really care about the audience.
01:12:50.000 | And it's just so wonderful that we didn't quit.
01:12:53.000 | I remember we had that conversation in the beginning
01:12:55.000 | and Chamath was saying, like, you know,
01:12:57.000 | "How does this become successful?"
01:12:58.000 | And I said, "It becomes successful
01:13:00.000 | if we just show up every week.
01:13:02.000 | If we just show up every week, it's going to work
01:13:04.000 | and it's going to be great."
01:13:05.000 | And, you know, here we are going into year five
01:13:07.000 | and I'm just so happy that we didn't quit.
01:13:10.000 | [cheers and applause]
01:13:12.000 | And that we kept going forward.
01:13:14.000 | And I hope that we can all do this in 30 or 40 years
01:13:17.000 | in diapers, in a nursing home somewhere in Italy.
01:13:20.000 | I hope we do this for the rest of our lives
01:13:23.000 | because it's been such an incredible joy.
01:13:25.000 | And, man, I just love the fact that y'all come out
01:13:27.000 | and stop us at airports or take a selfie
01:13:31.000 | and tell us what you think of the show.
01:13:33.000 | Friedberg, any thoughts on the year that was
01:13:36.000 | and the pod and, you know, this incredible moment of sacks?
01:13:41.000 | Many times when I was going to quit this show
01:13:43.000 | and I think how much I really don't like J. Kell.
01:13:46.000 | That's the theme and the reflections.
01:13:49.000 | And then sometimes I'll sit in my bath,
01:13:52.000 | I'll have my feet up, and I'll think to myself,
01:13:55.000 | "Man, I love J. Kell."
01:13:58.000 | And for all the challenges that each of us have,
01:14:03.000 | I'm very grateful for the moment of being here with you guys.
01:14:06.000 | It's made a huge impact on my life
01:14:07.000 | that I never thought would be the case.
01:14:09.000 | Thank you.
01:14:10.000 | I also think we're in an amazing moment.
01:14:14.000 | The United States, certain people in the United States
01:14:16.000 | are really blessed and do really well.
01:14:18.000 | There's a lot of challenges
01:14:19.000 | and a lot of things that need to be fixed
01:14:21.000 | and a lot of people that struggle a lot.
01:14:23.000 | And outside the United States,
01:14:24.000 | there's a lot more people that struggle a lot.
01:14:26.000 | And I'm really hopeful that--
01:14:29.000 | I really do believe that technology drives prosperity
01:14:32.000 | and that technology and kind of the ability for technology
01:14:37.000 | to kind of transform lives around the world
01:14:39.000 | can help everyone.
01:14:40.000 | And I'm very hopeful because I have not been hopeful
01:14:43.000 | in this way in a long time.
01:14:45.000 | And I think that over the next couple of years,
01:14:47.000 | there will be an amazing kind of evolution
01:14:51.000 | that'll be unleashed in prosperity
01:14:53.000 | that will really make a big impact.
01:14:55.000 | So I'm super helpful, super happy, and super excited.
01:14:58.000 | Yeah, that's a great note, great note.
01:15:00.000 | Thank you to the amazing band tonight.
01:15:03.000 | Very well done.
01:15:04.000 | Big round of applause for the band and the production team.
01:15:07.000 | That's it. Well done.
01:15:08.000 | Let's get some founder mode. Come on.
01:15:10.000 | Yeah, let's get some founder mode.
01:15:11.000 | Happy holidays!
01:15:12.000 | Happy holidays, everybody!
01:15:13.000 | We'll see you at the party!
01:15:16.000 | [cheers & applause]
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