Aug 22, 2025 · 1h 11m · allin

AI Bubble Pops, Zuck Freezes Hiring, Newsom’s 2028 Surge, Russia/Ukraine Endgame

Jason Calacanis · 22m spoken David Sacks · 21m spoken Chamath Palihapitiya · 14m spoken David Friedberg · 6m spoken
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In this episode of the All-In Podcast, the hosts analyze the enterprise AI landscape following market pullbacks and Meta's hiring freeze, evaluate Gavin Newsom's 2028 presidential prospects, and outline potential diplomatic pathways to end the Russia-Ukraine war. Interspersed with personal updates, parenting reflections, and All-In Summit previews, the Besties balance deep market analysis with lighthearted host banter.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 99.6% of the talking time here. How this is scored →

The hosts as informed peer 4.9 Guest teaching 2.4 Guest disagreement 2.1 The hosts pushing back 2.5
05100:0015:0030:0045:001:00:000:00–2:01 · The hosts as informed peer 1/10 Opening Banter on Sacks' Bulldog Moose The hosts engage in casual opening banter regarding David Sacks' bulldog Moose moving to Jason Calacanis' ranch. The conversation is friendly and playful without substantive technical or political debate.2:01–5:14 · The hosts as informed peer 2/10 Summer Vacations, Mexico City, and Global Rest The hosts discuss summer vacations in Mexico City and Friedberg's work at Ohalo with potato seeds. Sacks jokes about Calacanis not being a value-add investor in Ohalo, maintaining a humorous co-host dynamic.5:14–9:03 · The hosts as informed peer 3/10 Recap of Senator Eric Schmitt Interview on Government Censorship Sacks summarizes Senator Eric Schmitt's lawsuit on government censorship before Calacanis pivots to thanking summit sponsors and noting a South Park reference. The interaction is brief and collaborative.9:03–12:54 · The hosts as informed peer 7/10 MIT GenAI Enterprise Failure Report and Chamath's Analysis Calacanis introduces an MIT study on GenAI pilot failures, and Chamath provides an expert breakdown on probabilistic versus deterministic software in back-office tasks versus sales. The discussion is analytical and aligned.12:54–19:59 · The hosts as informed peer 8/10 David Sacks on AI Market Correction and the End of AGI Doomerism Sacks delivers an in-depth analysis on why the AI market correction is healthy, explaining how hype cycles fueled AGI doomerism and regulatory overreach like SB 1047. Chamath reinforces the point with technical notes on model overfitting to benchmarks.19:59–27:05 · The hosts as informed peer 8/10 Sam Altman's Bubble Warning, CapEx Efficiency, and Hype Cycle Friedberg outlines three key architectural trends—human-AI pairing, deterministic rendering integration, and Small Language Model (SLM) networks—that will improve CapEx ROIC. Calacanis connects this to technology hype cycle curves.27:05–30:51 · The hosts as informed peer 8/10 Foundational AI Models, Sunk Cost Fallacy, and Enterprise Adoption Chamath articulates the sunk cost fallacy facing LLM foundational model giants and shares empirical enterprise experience from 80-90 where middle-management pushback led to a client firing despite strong performance.30:51–39:05 · The hosts as informed peer 7/10 Meta's AI Hiring Freeze, Talent Bidding Wars, and Autonomous AI Models Sacks and Calacanis analyze Meta's AI hiring freeze, startup valuation fundamentals, and the last-mile challenge in AI enterprise software before contrasting Waymo's deterministic approach with Tesla's probabilistic RoboTaxi model.39:05–54:04 · The hosts as informed peer 7/10 Gavin Newsom's 2028 Surge, Democratic Primary Dynamics, and California Governance A heated debate erupts over Gavin Newsom's 2028 polling surge. Sacks and Chamath aggressively reject Calacanis' suggestion of a Democratic wage/housing platform, with Sacks rattling off negative California economic metrics to dismantle Calacanis' premise.54:04–1:09:16 · The hosts as informed peer 7/10 Trump's Diplomatic Summits, Russia-Ukraine Peace Negotiations, and Global Geopolitics Sacks praises Trump's Alaska diplomatic summit for establishing direct communications with Putin, while Calacanis pushes back forcefully on Ukrainian sovereignty and questions Sacks regarding moralistic framing versus diplomatic strategy.1:09:16–1:11:42 · The hosts as informed peer 1/10 Reflections on the End of Summer and All-In Summit The hosts wind down the episode reflecting on the end of summer and sharing sentimental thoughts on their teenage children preparing to leave for college.1:11:42–1:11:44 · The hosts as informed peer 0/10 Animator End Card Animation Brief audio end-card soundbite concluding the episode with no host or guest conversation.0:00–2:01 · Guest teaching 0/10 Opening Banter on Sacks' Bulldog Moose The hosts engage in casual opening banter regarding David Sacks' bulldog Moose moving to Jason Calacanis' ranch. The conversation is friendly and playful without substantive technical or political debate.2:01–5:14 · Guest teaching 1/10 Summer Vacations, Mexico City, and Global Rest The hosts discuss summer vacations in Mexico City and Friedberg's work at Ohalo with potato seeds. Sacks jokes about Calacanis not being a value-add investor in Ohalo, maintaining a humorous co-host dynamic.5:14–9:03 · Guest teaching 1/10 Recap of Senator Eric Schmitt Interview on Government Censorship Sacks summarizes Senator Eric Schmitt's lawsuit on government censorship before Calacanis pivots to thanking summit sponsors and noting a South Park reference. The interaction is brief and collaborative.9:03–12:54 · Guest teaching 4/10 MIT GenAI Enterprise Failure Report and Chamath's Analysis Calacanis introduces an MIT study on GenAI pilot failures, and Chamath provides an expert breakdown on probabilistic versus deterministic software in back-office tasks versus sales. The discussion is analytical and aligned.12:54–19:59 · Guest teaching 3/10 David Sacks on AI Market Correction and the End of AGI Doomerism Sacks delivers an in-depth analysis on why the AI market correction is healthy, explaining how hype cycles fueled AGI doomerism and regulatory overreach like SB 1047. Chamath reinforces the point with technical notes on model overfitting to benchmarks.19:59–27:05 · Guest teaching 3/10 Sam Altman's Bubble Warning, CapEx Efficiency, and Hype Cycle Friedberg outlines three key architectural trends—human-AI pairing, deterministic rendering integration, and Small Language Model (SLM) networks—that will improve CapEx ROIC. Calacanis connects this to technology hype cycle curves.27:05–30:51 · Guest teaching 4/10 Foundational AI Models, Sunk Cost Fallacy, and Enterprise Adoption Chamath articulates the sunk cost fallacy facing LLM foundational model giants and shares empirical enterprise experience from 80-90 where middle-management pushback led to a client firing despite strong performance.30:51–39:05 · Guest teaching 3/10 Meta's AI Hiring Freeze, Talent Bidding Wars, and Autonomous AI Models Sacks and Calacanis analyze Meta's AI hiring freeze, startup valuation fundamentals, and the last-mile challenge in AI enterprise software before contrasting Waymo's deterministic approach with Tesla's probabilistic RoboTaxi model.39:05–54:04 · Guest teaching 5/10 Gavin Newsom's 2028 Surge, Democratic Primary Dynamics, and California Governance A heated debate erupts over Gavin Newsom's 2028 polling surge. Sacks and Chamath aggressively reject Calacanis' suggestion of a Democratic wage/housing platform, with Sacks rattling off negative California economic metrics to dismantle Calacanis' premise.54:04–1:09:16 · Guest teaching 4/10 Trump's Diplomatic Summits, Russia-Ukraine Peace Negotiations, and Global Geopolitics Sacks praises Trump's Alaska diplomatic summit for establishing direct communications with Putin, while Calacanis pushes back forcefully on Ukrainian sovereignty and questions Sacks regarding moralistic framing versus diplomatic strategy.1:09:16–1:11:42 · Guest teaching 1/10 Reflections on the End of Summer and All-In Summit The hosts wind down the episode reflecting on the end of summer and sharing sentimental thoughts on their teenage children preparing to leave for college.1:11:42–1:11:44 · Guest teaching 0/10 Animator End Card Animation Brief audio end-card soundbite concluding the episode with no host or guest conversation.0:00–2:01 · Guest disagreement 1/10 Opening Banter on Sacks' Bulldog Moose The hosts engage in casual opening banter regarding David Sacks' bulldog Moose moving to Jason Calacanis' ranch. The conversation is friendly and playful without substantive technical or political debate.2:01–5:14 · Guest disagreement 2/10 Summer Vacations, Mexico City, and Global Rest The hosts discuss summer vacations in Mexico City and Friedberg's work at Ohalo with potato seeds. Sacks jokes about Calacanis not being a value-add investor in Ohalo, maintaining a humorous co-host dynamic.5:14–9:03 · Guest disagreement 1/10 Recap of Senator Eric Schmitt Interview on Government Censorship Sacks summarizes Senator Eric Schmitt's lawsuit on government censorship before Calacanis pivots to thanking summit sponsors and noting a South Park reference. The interaction is brief and collaborative.9:03–12:54 · Guest disagreement 1/10 MIT GenAI Enterprise Failure Report and Chamath's Analysis Calacanis introduces an MIT study on GenAI pilot failures, and Chamath provides an expert breakdown on probabilistic versus deterministic software in back-office tasks versus sales. The discussion is analytical and aligned.12:54–19:59 · Guest disagreement 2/10 David Sacks on AI Market Correction and the End of AGI Doomerism Sacks delivers an in-depth analysis on why the AI market correction is healthy, explaining how hype cycles fueled AGI doomerism and regulatory overreach like SB 1047. Chamath reinforces the point with technical notes on model overfitting to benchmarks.19:59–27:05 · Guest disagreement 1/10 Sam Altman's Bubble Warning, CapEx Efficiency, and Hype Cycle Friedberg outlines three key architectural trends—human-AI pairing, deterministic rendering integration, and Small Language Model (SLM) networks—that will improve CapEx ROIC. Calacanis connects this to technology hype cycle curves.27:05–30:51 · Guest disagreement 2/10 Foundational AI Models, Sunk Cost Fallacy, and Enterprise Adoption Chamath articulates the sunk cost fallacy facing LLM foundational model giants and shares empirical enterprise experience from 80-90 where middle-management pushback led to a client firing despite strong performance.30:51–39:05 · Guest disagreement 2/10 Meta's AI Hiring Freeze, Talent Bidding Wars, and Autonomous AI Models Sacks and Calacanis analyze Meta's AI hiring freeze, startup valuation fundamentals, and the last-mile challenge in AI enterprise software before contrasting Waymo's deterministic approach with Tesla's probabilistic RoboTaxi model.39:05–54:04 · Guest disagreement 6/10 Gavin Newsom's 2028 Surge, Democratic Primary Dynamics, and California Governance A heated debate erupts over Gavin Newsom's 2028 polling surge. Sacks and Chamath aggressively reject Calacanis' suggestion of a Democratic wage/housing platform, with Sacks rattling off negative California economic metrics to dismantle Calacanis' premise.54:04–1:09:16 · Guest disagreement 6/10 Trump's Diplomatic Summits, Russia-Ukraine Peace Negotiations, and Global Geopolitics Sacks praises Trump's Alaska diplomatic summit for establishing direct communications with Putin, while Calacanis pushes back forcefully on Ukrainian sovereignty and questions Sacks regarding moralistic framing versus diplomatic strategy.1:09:16–1:11:42 · Guest disagreement 1/10 Reflections on the End of Summer and All-In Summit The hosts wind down the episode reflecting on the end of summer and sharing sentimental thoughts on their teenage children preparing to leave for college.1:11:42–1:11:44 · Guest disagreement 0/10 Animator End Card Animation Brief audio end-card soundbite concluding the episode with no host or guest conversation.0:00–2:01 · The hosts pushing back 1/10 Opening Banter on Sacks' Bulldog Moose The hosts engage in casual opening banter regarding David Sacks' bulldog Moose moving to Jason Calacanis' ranch. The conversation is friendly and playful without substantive technical or political debate.2:01–5:14 · The hosts pushing back 2/10 Summer Vacations, Mexico City, and Global Rest The hosts discuss summer vacations in Mexico City and Friedberg's work at Ohalo with potato seeds. Sacks jokes about Calacanis not being a value-add investor in Ohalo, maintaining a humorous co-host dynamic.5:14–9:03 · The hosts pushing back 1/10 Recap of Senator Eric Schmitt Interview on Government Censorship Sacks summarizes Senator Eric Schmitt's lawsuit on government censorship before Calacanis pivots to thanking summit sponsors and noting a South Park reference. The interaction is brief and collaborative.9:03–12:54 · The hosts pushing back 2/10 MIT GenAI Enterprise Failure Report and Chamath's Analysis Calacanis introduces an MIT study on GenAI pilot failures, and Chamath provides an expert breakdown on probabilistic versus deterministic software in back-office tasks versus sales. The discussion is analytical and aligned.12:54–19:59 · The hosts pushing back 2/10 David Sacks on AI Market Correction and the End of AGI Doomerism Sacks delivers an in-depth analysis on why the AI market correction is healthy, explaining how hype cycles fueled AGI doomerism and regulatory overreach like SB 1047. Chamath reinforces the point with technical notes on model overfitting to benchmarks.19:59–27:05 · The hosts pushing back 2/10 Sam Altman's Bubble Warning, CapEx Efficiency, and Hype Cycle Friedberg outlines three key architectural trends—human-AI pairing, deterministic rendering integration, and Small Language Model (SLM) networks—that will improve CapEx ROIC. Calacanis connects this to technology hype cycle curves.27:05–30:51 · The hosts pushing back 2/10 Foundational AI Models, Sunk Cost Fallacy, and Enterprise Adoption Chamath articulates the sunk cost fallacy facing LLM foundational model giants and shares empirical enterprise experience from 80-90 where middle-management pushback led to a client firing despite strong performance.30:51–39:05 · The hosts pushing back 3/10 Meta's AI Hiring Freeze, Talent Bidding Wars, and Autonomous AI Models Sacks and Calacanis analyze Meta's AI hiring freeze, startup valuation fundamentals, and the last-mile challenge in AI enterprise software before contrasting Waymo's deterministic approach with Tesla's probabilistic RoboTaxi model.39:05–54:04 · The hosts pushing back 7/10 Gavin Newsom's 2028 Surge, Democratic Primary Dynamics, and California Governance A heated debate erupts over Gavin Newsom's 2028 polling surge. Sacks and Chamath aggressively reject Calacanis' suggestion of a Democratic wage/housing platform, with Sacks rattling off negative California economic metrics to dismantle Calacanis' premise.54:04–1:09:16 · The hosts pushing back 7/10 Trump's Diplomatic Summits, Russia-Ukraine Peace Negotiations, and Global Geopolitics Sacks praises Trump's Alaska diplomatic summit for establishing direct communications with Putin, while Calacanis pushes back forcefully on Ukrainian sovereignty and questions Sacks regarding moralistic framing versus diplomatic strategy.1:09:16–1:11:42 · The hosts pushing back 1/10 Reflections on the End of Summer and All-In Summit The hosts wind down the episode reflecting on the end of summer and sharing sentimental thoughts on their teenage children preparing to leave for college.1:11:42–1:11:44 · The hosts pushing back 0/10 Animator End Card Animation Brief audio end-card soundbite concluding the episode with no host or guest conversation.

speaking balance: gold is the hosts, purple is the guest (3 minute bins)

0:00 · the hosts 99.1% · guest 0.9%0:00 · the hosts 99.1% · guest 0.9%3:00 · the hosts 98.8% · guest 1.2%3:00 · the hosts 98.8% · guest 1.2%6:00 · the hosts 100% · guest 0%6:00 · the hosts 100% · guest 0%9:00 · the hosts 100% · guest 0%9:00 · the hosts 100% · guest 0%12:00 · the hosts 100% · guest 0%12:00 · the hosts 100% · guest 0%15:00 · the hosts 100% · guest 0%15:00 · the hosts 100% · guest 0%18:00 · the hosts 100% · guest 0%18:00 · the hosts 100% · guest 0%21:00 · the hosts 100% · guest 0%21:00 · the hosts 100% · guest 0%24:00 · the hosts 100% · guest 0%24:00 · the hosts 100% · guest 0%27:00 · the hosts 100% · guest 0%27:00 · the hosts 100% · guest 0%30:00 · the hosts 100% · guest 0%30:00 · the hosts 100% · guest 0%33:00 · the hosts 99.8% · guest 0.2%33:00 · the hosts 99.8% · guest 0.2%36:00 · the hosts 100% · guest 0%36:00 · the hosts 100% · guest 0%39:00 · the hosts 100% · guest 0%39:00 · the hosts 100% · guest 0%42:00 · the hosts 100% · guest 0%42:00 · the hosts 100% · guest 0%45:00 · the hosts 100% · guest 0%45:00 · the hosts 100% · guest 0%48:00 · the hosts 100% · guest 0%48:00 · the hosts 100% · guest 0%51:00 · the hosts 100% · guest 0%51:00 · the hosts 100% · guest 0%54:00 · the hosts 99.8% · guest 0.2%54:00 · the hosts 99.8% · guest 0.2%57:00 · the hosts 100% · guest 0%57:00 · the hosts 100% · guest 0%1:00:00 · the hosts 100% · guest 0%1:00:00 · the hosts 100% · guest 0%1:03:00 · the hosts 100% · guest 0%1:03:00 · the hosts 100% · guest 0%1:06:00 · the hosts 99.7% · guest 0.3%1:06:00 · the hosts 99.7% · guest 0.3%1:09:00 · the hosts 89.7% · guest 10.3%1:09:00 · the hosts 89.7% · guest 10.3%
Sharpest disagreement ▶ 1:05:30 Sacks directly confronting Calacanis on moralistic rhetoric

Sacks sharply calls out Calacanis for using moralistic name-calling ('dictator', 'war criminal') while claiming to support practical diplomatic negotiations with foreign leaders.

Hardest push from the hosts ▶ 49:25 Chamath and Sacks rejecting Calacanis' policy strategy

Chamath and Sacks immediately shut down Calacanis' proposed Democratic platform arguments, bluntly stating that promising wage increases and free giveaways is not how adults make hard decisions.

Biggest teaching moment ▶ 50:08 Sacks citing California economic statistics to rebut Calacanis

Sacks thoroughly counters Calacanis' optimistic policy suggestions by reeling off specific statistics on California's deficit conversion, poverty levels, housing costs, and wage stagnation under Gavin Newsom.

The host holds their own ▶ 14:36 Sacks breaking down the AI hype cycle and regulatory overreach

Sacks uses deep domain knowledge of tech investments and legislative policy to demonstrate how fantastical AGI doomerism led directly to flawed policy proposals like SB 1047.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Opening Banter on Sacks' Bulldog Moose 1011 The hosts engage in casual opening banter regarding David Sacks' bulldog Moose moving to Jason Calacanis' ranch. The conversation is friendly and playful without substantive technical or political debate.
Summer Vacations, Mexico City, and Global Rest 2122 The hosts discuss summer vacations in Mexico City and Friedberg's work at Ohalo with potato seeds. Sacks jokes about Calacanis not being a value-add investor in Ohalo, maintaining a humorous co-host dynamic.
Recap of Senator Eric Schmitt Interview on Government Censorship 3111 Sacks summarizes Senator Eric Schmitt's lawsuit on government censorship before Calacanis pivots to thanking summit sponsors and noting a South Park reference. The interaction is brief and collaborative.
MIT GenAI Enterprise Failure Report and Chamath's Analysis 7412 Calacanis introduces an MIT study on GenAI pilot failures, and Chamath provides an expert breakdown on probabilistic versus deterministic software in back-office tasks versus sales. The discussion is analytical and aligned.
David Sacks on AI Market Correction and the End of AGI Doomerism 8322 Sacks delivers an in-depth analysis on why the AI market correction is healthy, explaining how hype cycles fueled AGI doomerism and regulatory overreach like SB 1047. Chamath reinforces the point with technical notes on model overfitting to benchmarks.
Sam Altman's Bubble Warning, CapEx Efficiency, and Hype Cycle 8312 Friedberg outlines three key architectural trends—human-AI pairing, deterministic rendering integration, and Small Language Model (SLM) networks—that will improve CapEx ROIC. Calacanis connects this to technology hype cycle curves.
Foundational AI Models, Sunk Cost Fallacy, and Enterprise Adoption 8422 Chamath articulates the sunk cost fallacy facing LLM foundational model giants and shares empirical enterprise experience from 80-90 where middle-management pushback led to a client firing despite strong performance.
Meta's AI Hiring Freeze, Talent Bidding Wars, and Autonomous AI Models 7323 Sacks and Calacanis analyze Meta's AI hiring freeze, startup valuation fundamentals, and the last-mile challenge in AI enterprise software before contrasting Waymo's deterministic approach with Tesla's probabilistic RoboTaxi model.
Gavin Newsom's 2028 Surge, Democratic Primary Dynamics, and California Governance 7567 A heated debate erupts over Gavin Newsom's 2028 polling surge. Sacks and Chamath aggressively reject Calacanis' suggestion of a Democratic wage/housing platform, with Sacks rattling off negative California economic metrics to dismantle Calacanis' premise.
Trump's Diplomatic Summits, Russia-Ukraine Peace Negotiations, and Global Geopolitics 7467 Sacks praises Trump's Alaska diplomatic summit for establishing direct communications with Putin, while Calacanis pushes back forcefully on Ukrainian sovereignty and questions Sacks regarding moralistic framing versus diplomatic strategy.
Reflections on the End of Summer and All-In Summit 1111 The hosts wind down the episode reflecting on the end of summer and sharing sentimental thoughts on their teenage children preparing to leave for college.
Animator End Card Animation 0000 Brief audio end-card soundbite concluding the episode with no host or guest conversation.

Statements from this episode (22)

Assertion Partly supported
Friedberg: Ohalo is ramping up production of true potato seeds
“The world's first true potato seed, and we are ramping up production.”
David Friedberg Aug 22, 2025 ▶ 4:00
Assertion Not checkable as stated
Sacks: Missouri v. Biden discovery shows federal censorship on social media
“He brought the lawsuit, Biden v. Missouri, which exposed the Biden administration's censorship apparatus that they ran through social media companies. This was the government side of the Twitter files, and the discovery he brought when married with the Twitter…”
David Sacks Aug 22, 2025 ▶ 5:27
Assertion Supported
Calacanis: MIT study shows 95% of GenAI pilots fail to reach production
“In that study, MIT found that 95% of Gen AI pilots are failing to make it to production because of employee resistance, poor quality output, and the most interesting problem seems to be resource misallocation.”
Jason Calacanis Aug 22, 2025 ▶ 9:31
Prediction Not checkable as stated
Chamath: AI sector will undergo a sorting and consolidation cycle
“And I suspect we're about to go through that same cycle in AI.”
Chamath Palihapitiya Aug 22, 2025 ▶ 12:38
Prediction Not checkable as stated
Sacks: AI market pullback is a healthy correction, not a bust
“I don't think this was the beginning of a bus cycle or something like that. I still think that we're in a boom. I still think we're in a investment super cycle”
David Sacks Aug 22, 2025 ▶ 13:50
Prediction Not checkable as stated
Sacks: AI development will be a normal tech race, not rapid AGI
“The development of this technology is going to be a more normal technology race. It's not like the leading players just all of a sudden get achieve AGI just very quickly.”
David Sacks Aug 22, 2025 ▶ 18:00
Assertion Not checkable as stated
Chamath: Grok updates failed to achieve separation on key benchmarks
“If you look at the last big set of model updates, X of Grok, they didn't really meaningfully improve their separation from the last generation model on the big benchmarks that matter.”
Chamath Palihapitiya Aug 22, 2025 ▶ 18:56
Prediction Not checkable as stated
Friedberg: AI will mirror dot-com cycle with massive long-term value
“The dot-com boom was a, became a bubble that burst, but the ultimate promise of the internet was realized many orders of magnitude greater than I think, you know, most folks declared and proclaimed at the time. It was just delayed by a few years. I think it's …”
David Friedberg Aug 22, 2025 ▶ 21:35
Prediction Not checkable as stated
Friedberg: AI architecture will shift toward networks of small language models
“These models are going to move towards SLMs that we don't understand how and why they work the way they do in a network fashion.”
David Friedberg Aug 22, 2025 ▶ 23:59
Assertion Not checkable as stated
Calacanis: AI makes sales development reps 10 times more effective
“We're seeing on the field that maybe the salespeople aren't being replaced by AI, but the SDRs are becoming 10 times, like literally 10 times more effective at finding the next lead. At organizing leads and targets.”
Jason Calacanis Aug 22, 2025 ▶ 26:23
Disclosure
Palihapitiya says his AI firm 8090 will hit $40M in bookings
“We've been selling into the enterprise at 80, 90. We'll do this year. This is our first full year of business. We'll do about forty million dollars of bookings.”
Chamath Palihapitiya Aug 22, 2025 ▶ 29:30
Disclosure
Palihapitiya says his AI firm was fired despite delivering enormous gains
“Our first customer where we delivered enormous gains, we were fired. And the reason we were fired was not because the technology wasn't working, but it's because as it goes lower and lower from the board and the CEO into the bowels of the organization, You act…”
Chamath Palihapitiya Aug 22, 2025 ▶ 29:45
Prediction Not checkable as stated
Palihapitiya: AI fear will hinder enterprise rollout across Global 2000 companies
“In all of the Fortune, 2000, global 2000, I would not expect that the AI boogeyman that has been created doesn't have some negative ramifications over the next couple of years as well, as this stuff gets sorted out.”
Chamath Palihapitiya Aug 22, 2025 ▶ 30:37
Prediction Open · timeframe Aug 2029
Chamath: OpenAI could reach a $1.5T valuation within four years
“I would probably put that at like, 500 Dow to be conservative. It's probably doubling every two years. So 500 goes to a 1,000,000,001, billion goes to two in four years, and at two billion Dow, they generate a 1th of Facebook's revenue, just to be very conserv…”
Chamath Palihapitiya Aug 22, 2025 ▶ 35:10
Prediction Not checkable as stated
Sacks: Specialized vertical AI models will capture value over single foundation models
“Because it implies that you're going to get lots of vertical applications and lots of specialized models that capture value in lots of different markets. And that, that's actually the way that we're going to drive this throughout the economy as opposed to it j…”
David Sacks Aug 22, 2025 ▶ 37:04
Prediction Open · timeframe Nov 2028
Friedberg: Socialist candidate like AOC will likely emerge for Democrats in 2028
“I think there's a, as I've talked about many, many times, a very high probability that someone who's a little bit more socialist aligned is going to end up being kind of thrust forward here, and I think AOC fits the bill there.”
David Friedberg Aug 22, 2025 ▶ 42:46
Insight
Chamath: Electoral College dynamics prevent a socialist candidate from winning US presidency
“What I will tell you is that the way that the electoral college is set up and the voting dynamics for the presidency is set up, a socialist cannot win.”
Chamath Palihapitiya Aug 22, 2025 ▶ 45:47
Prediction Open · timeframe Nov 2028
Sacks: Gavin Newsom will probably win the 2028 Democratic presidential nomination
“And Gavin probably will be the nominee because I do think that his performative antics are working with the base.”
David Sacks Aug 22, 2025 ▶ 50:14
Assertion Supported
Sacks: Newsom turned a $75 billion surplus into a $20 billion deficit
“Gavin's spending turned a seventy five billion dollar surplus into a twenty billion dollar deficit in just a couple of years”
David Sacks Aug 22, 2025 ▶ 50:33
Assertion Supported
Sacks: Ukrainian support for continuing war dropped to 24%
“Where a year or two ago, something like 70% of Ukrainians wanted to keep fighting the war. Now that number is down to 24%.”
David Sacks Aug 22, 2025 ▶ 56:14
Prediction Not checkable as stated
Calacanis: EU and Germany will never buy Russian oil again
“These people are never going to buy his oil again. Not after what happened here.”
Jason Calacanis Aug 22, 2025 ▶ 1:04:26
Prediction Not checkable as stated
Calacanis: Trump has 50% chance of achieving Russia-Ukraine peace deal
“I think he's got a fifty-fifty chance of getting this done, and I think other people didn't even try.”
Jason Calacanis Aug 22, 2025 ▶ 1:08:22
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