Oct 10, 2025 · 1h 27m · allin

Trump Brokers Gaza Peace Deal, National Guard in Chicago, OpenAI/AMD, AI Roundtripping, Gold Rally

Jason Calacanis · 26m spoken David Sacks · 21m spoken Brad Gerstner · 15m spoken Chamath Palihapitiya · 14m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of the All-In Podcast, the hosts analyze President Trump's Gaza peace proposal and domestic urban crime enforcement before engaging in a deep dive into AI hardware infrastructure, global economic trends, and prediction markets.

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 80.4% of the talking time here. How this is scored →

The hosts as informed peer 6.3 Guest teaching 4.2 Guest disagreement 3.0 The hosts pushing back 3.3
05100:0020:0040:001:00:001:20:002:48–13:25 · The hosts as informed peer 6/10 Trump Brokers Gaza Peace Deal and Middle East Diplomacy David Sacks and Chamath Palihapitiya outline Middle East diplomatic mechanics and macro incentives regarding oil monetization. Brad Gerstner agrees strongly, framing the administration's broader foreign policy as ambitious moonshots.14:04–18:57 · The hosts as informed peer 6/10 ICE Raids in Chicago and Soft-on-Crime Debate Sacks cites specific legal precedents including JFK and Eisenhower sending federal troops to enforce federal law, along with local murder cases to argue against lenient prosecutors.18:57–22:09 · The hosts as informed peer 5/10 Public Polling Debate on National Guard Deployments Calacanis presents Washington Post polling showing high local opposition to military presence in DC, which Sacks immediately challenges by citing alternative pollsters and positive crime outcomes.22:09–24:34 · The hosts as informed peer 4/10 Bipartisan Context of Historical U.S. Deportations Brad Gerstner educates the hosts on historical deportation metrics across Clinton, Obama, and Biden administrations to demonstrate that current figures represent a return to historical averages.24:34–30:33 · The hosts as informed peer 6/10 Critique of ICE Methods and Trump Approval Ratings Calacanis delivers a detailed monologue presenting net approval charts, issue breakdowns, and cost metrics to argue that aggressive ICE tactics hurt the political standing of Trump 2.0.30:33–37:26 · The hosts as informed peer 6/10 Debate on Enforcement Tactics, Antifa, and Border Policy Sacks forcefully rejects Calacanis's argument regarding ICE conduct, attributing the street violence entirely to organized Antifa groups and left-wing NGO funding rather than federal officers.37:26–44:02 · The hosts as informed peer 6/10 Final Synthesis on Urban Safety and Political Alignment Calacanis proposes fining non-compliant employers $10,000 as a humane enforcement alternative, but Sacks dismisses his invocation of January 6th as a debate-losing non-sequitur.44:02–48:24 · The hosts as informed peer 5/10 OpenAI and AMD $60 Billion Compute Partnership Gerstner breaks down AMD's $60 billion partnership with OpenAI, explaining Lisa Su's strategic gamble and providing market data comparing Nvidia and AMD's revenue trajectory since 2022.48:24–53:56 · The hosts as informed peer 7/10 AI Infrastructure Limits, Energy, and HBM Supply Chains Palihapitiya analyzes power supply bottlenecks and HBM memory constraints, explaining how controlling intermediate hardware allocations allows AI labs to extract structural taxes from partners.53:56–57:06 · The hosts as informed peer 7/10 Long-Term AI Capex, Demand Forecasting, and Jevons Paradox Sacks references Jevons paradox and early internet dark fiber history to explain why lower token costs expand total compute demand rather than saturate it.57:06–1:00:04 · The hosts as informed peer 7/10 Hardware Utilization, Server Failures, and Physics Limits Palihapitiya highlights Meta research showing server rack system failure rates between 9% and 20% due to extreme physical constraints at two-nanometer scales.1:00:46–1:05:42 · The hosts as informed peer 7/10 AI Infrastructure CapEx, Data Centers, and Hardware Competition Sacks calculates the capital requirements for scaling data centers at $50 billion per gigawatt, while Gerstner argues performance-per-watt efficiencies keep Nvidia ahead.1:05:42–1:14:59 · The hosts as informed peer 7/10 AI Round-Tripping, Revenue Sustainability, and Macroeconomic Growth Gerstner refutes market fears about round-tripping, defining criteria for sham transactions and contrasting Nvidia's minor equity checks with legitimate end-user demand.1:14:59–1:20:40 · The hosts as informed peer 8/10 The Global Gold Rally, Central Bank Reserves, and De-Dollarization Palihapitiya and Sacks analyze the record gold surge, citing Tether's physical gold accumulation, central bank reserve rebalancing, and BRICS hedging against dollar weaponization.1:20:40–1:24:34 · The hosts as informed peer 7/10 Polymarket Valuation, Prediction Markets, and Wisdom of Crowds Gerstner shares Francis Galton's 1907 ox-weight experiment to illustrate how prediction markets capture crowd wisdom better than isolated experts, following ICE's investment in Polymarket.2:48–13:25 · Guest teaching 2/10 Trump Brokers Gaza Peace Deal and Middle East Diplomacy David Sacks and Chamath Palihapitiya outline Middle East diplomatic mechanics and macro incentives regarding oil monetization. Brad Gerstner agrees strongly, framing the administration's broader foreign policy as ambitious moonshots.14:04–18:57 · Guest teaching 2/10 ICE Raids in Chicago and Soft-on-Crime Debate Sacks cites specific legal precedents including JFK and Eisenhower sending federal troops to enforce federal law, along with local murder cases to argue against lenient prosecutors.18:57–22:09 · Guest teaching 3/10 Public Polling Debate on National Guard Deployments Calacanis presents Washington Post polling showing high local opposition to military presence in DC, which Sacks immediately challenges by citing alternative pollsters and positive crime outcomes.22:09–24:34 · Guest teaching 6/10 Bipartisan Context of Historical U.S. Deportations Brad Gerstner educates the hosts on historical deportation metrics across Clinton, Obama, and Biden administrations to demonstrate that current figures represent a return to historical averages.24:34–30:33 · Guest teaching 3/10 Critique of ICE Methods and Trump Approval Ratings Calacanis delivers a detailed monologue presenting net approval charts, issue breakdowns, and cost metrics to argue that aggressive ICE tactics hurt the political standing of Trump 2.0.30:33–37:26 · Guest teaching 4/10 Debate on Enforcement Tactics, Antifa, and Border Policy Sacks forcefully rejects Calacanis's argument regarding ICE conduct, attributing the street violence entirely to organized Antifa groups and left-wing NGO funding rather than federal officers.37:26–44:02 · Guest teaching 4/10 Final Synthesis on Urban Safety and Political Alignment Calacanis proposes fining non-compliant employers $10,000 as a humane enforcement alternative, but Sacks dismisses his invocation of January 6th as a debate-losing non-sequitur.44:02–48:24 · Guest teaching 7/10 OpenAI and AMD $60 Billion Compute Partnership Gerstner breaks down AMD's $60 billion partnership with OpenAI, explaining Lisa Su's strategic gamble and providing market data comparing Nvidia and AMD's revenue trajectory since 2022.48:24–53:56 · Guest teaching 5/10 AI Infrastructure Limits, Energy, and HBM Supply Chains Palihapitiya analyzes power supply bottlenecks and HBM memory constraints, explaining how controlling intermediate hardware allocations allows AI labs to extract structural taxes from partners.53:56–57:06 · Guest teaching 3/10 Long-Term AI Capex, Demand Forecasting, and Jevons Paradox Sacks references Jevons paradox and early internet dark fiber history to explain why lower token costs expand total compute demand rather than saturate it.57:06–1:00:04 · Guest teaching 4/10 Hardware Utilization, Server Failures, and Physics Limits Palihapitiya highlights Meta research showing server rack system failure rates between 9% and 20% due to extreme physical constraints at two-nanometer scales.1:00:46–1:05:42 · Guest teaching 5/10 AI Infrastructure CapEx, Data Centers, and Hardware Competition Sacks calculates the capital requirements for scaling data centers at $50 billion per gigawatt, while Gerstner argues performance-per-watt efficiencies keep Nvidia ahead.1:05:42–1:14:59 · Guest teaching 6/10 AI Round-Tripping, Revenue Sustainability, and Macroeconomic Growth Gerstner refutes market fears about round-tripping, defining criteria for sham transactions and contrasting Nvidia's minor equity checks with legitimate end-user demand.1:14:59–1:20:40 · Guest teaching 4/10 The Global Gold Rally, Central Bank Reserves, and De-Dollarization Palihapitiya and Sacks analyze the record gold surge, citing Tether's physical gold accumulation, central bank reserve rebalancing, and BRICS hedging against dollar weaponization.1:20:40–1:24:34 · Guest teaching 5/10 Polymarket Valuation, Prediction Markets, and Wisdom of Crowds Gerstner shares Francis Galton's 1907 ox-weight experiment to illustrate how prediction markets capture crowd wisdom better than isolated experts, following ICE's investment in Polymarket.2:48–13:25 · Guest disagreement 1/10 Trump Brokers Gaza Peace Deal and Middle East Diplomacy David Sacks and Chamath Palihapitiya outline Middle East diplomatic mechanics and macro incentives regarding oil monetization. Brad Gerstner agrees strongly, framing the administration's broader foreign policy as ambitious moonshots.14:04–18:57 · Guest disagreement 3/10 ICE Raids in Chicago and Soft-on-Crime Debate Sacks cites specific legal precedents including JFK and Eisenhower sending federal troops to enforce federal law, along with local murder cases to argue against lenient prosecutors.18:57–22:09 · Guest disagreement 4/10 Public Polling Debate on National Guard Deployments Calacanis presents Washington Post polling showing high local opposition to military presence in DC, which Sacks immediately challenges by citing alternative pollsters and positive crime outcomes.22:09–24:34 · Guest disagreement 3/10 Bipartisan Context of Historical U.S. Deportations Brad Gerstner educates the hosts on historical deportation metrics across Clinton, Obama, and Biden administrations to demonstrate that current figures represent a return to historical averages.24:34–30:33 · Guest disagreement 4/10 Critique of ICE Methods and Trump Approval Ratings Calacanis delivers a detailed monologue presenting net approval charts, issue breakdowns, and cost metrics to argue that aggressive ICE tactics hurt the political standing of Trump 2.0.30:33–37:26 · Guest disagreement 7/10 Debate on Enforcement Tactics, Antifa, and Border Policy Sacks forcefully rejects Calacanis's argument regarding ICE conduct, attributing the street violence entirely to organized Antifa groups and left-wing NGO funding rather than federal officers.37:26–44:02 · Guest disagreement 7/10 Final Synthesis on Urban Safety and Political Alignment Calacanis proposes fining non-compliant employers $10,000 as a humane enforcement alternative, but Sacks dismisses his invocation of January 6th as a debate-losing non-sequitur.44:02–48:24 · Guest disagreement 2/10 OpenAI and AMD $60 Billion Compute Partnership Gerstner breaks down AMD's $60 billion partnership with OpenAI, explaining Lisa Su's strategic gamble and providing market data comparing Nvidia and AMD's revenue trajectory since 2022.48:24–53:56 · Guest disagreement 1/10 AI Infrastructure Limits, Energy, and HBM Supply Chains Palihapitiya analyzes power supply bottlenecks and HBM memory constraints, explaining how controlling intermediate hardware allocations allows AI labs to extract structural taxes from partners.53:56–57:06 · Guest disagreement 2/10 Long-Term AI Capex, Demand Forecasting, and Jevons Paradox Sacks references Jevons paradox and early internet dark fiber history to explain why lower token costs expand total compute demand rather than saturate it.57:06–1:00:04 · Guest disagreement 3/10 Hardware Utilization, Server Failures, and Physics Limits Palihapitiya highlights Meta research showing server rack system failure rates between 9% and 20% due to extreme physical constraints at two-nanometer scales.1:00:46–1:05:42 · Guest disagreement 2/10 AI Infrastructure CapEx, Data Centers, and Hardware Competition Sacks calculates the capital requirements for scaling data centers at $50 billion per gigawatt, while Gerstner argues performance-per-watt efficiencies keep Nvidia ahead.1:05:42–1:14:59 · Guest disagreement 3/10 AI Round-Tripping, Revenue Sustainability, and Macroeconomic Growth Gerstner refutes market fears about round-tripping, defining criteria for sham transactions and contrasting Nvidia's minor equity checks with legitimate end-user demand.1:14:59–1:20:40 · Guest disagreement 2/10 The Global Gold Rally, Central Bank Reserves, and De-Dollarization Palihapitiya and Sacks analyze the record gold surge, citing Tether's physical gold accumulation, central bank reserve rebalancing, and BRICS hedging against dollar weaponization.1:20:40–1:24:34 · Guest disagreement 1/10 Polymarket Valuation, Prediction Markets, and Wisdom of Crowds Gerstner shares Francis Galton's 1907 ox-weight experiment to illustrate how prediction markets capture crowd wisdom better than isolated experts, following ICE's investment in Polymarket.2:48–13:25 · The hosts pushing back 1/10 Trump Brokers Gaza Peace Deal and Middle East Diplomacy David Sacks and Chamath Palihapitiya outline Middle East diplomatic mechanics and macro incentives regarding oil monetization. Brad Gerstner agrees strongly, framing the administration's broader foreign policy as ambitious moonshots.14:04–18:57 · The hosts pushing back 3/10 ICE Raids in Chicago and Soft-on-Crime Debate Sacks cites specific legal precedents including JFK and Eisenhower sending federal troops to enforce federal law, along with local murder cases to argue against lenient prosecutors.18:57–22:09 · The hosts pushing back 6/10 Public Polling Debate on National Guard Deployments Calacanis presents Washington Post polling showing high local opposition to military presence in DC, which Sacks immediately challenges by citing alternative pollsters and positive crime outcomes.22:09–24:34 · The hosts pushing back 2/10 Bipartisan Context of Historical U.S. Deportations Brad Gerstner educates the hosts on historical deportation metrics across Clinton, Obama, and Biden administrations to demonstrate that current figures represent a return to historical averages.24:34–30:33 · The hosts pushing back 6/10 Critique of ICE Methods and Trump Approval Ratings Calacanis delivers a detailed monologue presenting net approval charts, issue breakdowns, and cost metrics to argue that aggressive ICE tactics hurt the political standing of Trump 2.0.30:33–37:26 · The hosts pushing back 7/10 Debate on Enforcement Tactics, Antifa, and Border Policy Sacks forcefully rejects Calacanis's argument regarding ICE conduct, attributing the street violence entirely to organized Antifa groups and left-wing NGO funding rather than federal officers.37:26–44:02 · The hosts pushing back 6/10 Final Synthesis on Urban Safety and Political Alignment Calacanis proposes fining non-compliant employers $10,000 as a humane enforcement alternative, but Sacks dismisses his invocation of January 6th as a debate-losing non-sequitur.44:02–48:24 · The hosts pushing back 2/10 OpenAI and AMD $60 Billion Compute Partnership Gerstner breaks down AMD's $60 billion partnership with OpenAI, explaining Lisa Su's strategic gamble and providing market data comparing Nvidia and AMD's revenue trajectory since 2022.48:24–53:56 · The hosts pushing back 2/10 AI Infrastructure Limits, Energy, and HBM Supply Chains Palihapitiya analyzes power supply bottlenecks and HBM memory constraints, explaining how controlling intermediate hardware allocations allows AI labs to extract structural taxes from partners.53:56–57:06 · The hosts pushing back 2/10 Long-Term AI Capex, Demand Forecasting, and Jevons Paradox Sacks references Jevons paradox and early internet dark fiber history to explain why lower token costs expand total compute demand rather than saturate it.57:06–1:00:04 · The hosts pushing back 3/10 Hardware Utilization, Server Failures, and Physics Limits Palihapitiya highlights Meta research showing server rack system failure rates between 9% and 20% due to extreme physical constraints at two-nanometer scales.1:00:46–1:05:42 · The hosts pushing back 2/10 AI Infrastructure CapEx, Data Centers, and Hardware Competition Sacks calculates the capital requirements for scaling data centers at $50 billion per gigawatt, while Gerstner argues performance-per-watt efficiencies keep Nvidia ahead.1:05:42–1:14:59 · The hosts pushing back 4/10 AI Round-Tripping, Revenue Sustainability, and Macroeconomic Growth Gerstner refutes market fears about round-tripping, defining criteria for sham transactions and contrasting Nvidia's minor equity checks with legitimate end-user demand.1:14:59–1:20:40 · The hosts pushing back 2/10 The Global Gold Rally, Central Bank Reserves, and De-Dollarization Palihapitiya and Sacks analyze the record gold surge, citing Tether's physical gold accumulation, central bank reserve rebalancing, and BRICS hedging against dollar weaponization.1:20:40–1:24:34 · The hosts pushing back 1/10 Polymarket Valuation, Prediction Markets, and Wisdom of Crowds Gerstner shares Francis Galton's 1907 ox-weight experiment to illustrate how prediction markets capture crowd wisdom better than isolated experts, following ICE's investment in Polymarket.

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

0:00 · the hosts 73.5% · guest 26.5%0:00 · the hosts 73.5% · guest 26.5%3:00 · the hosts 100% · guest 0%3:00 · the hosts 100% · guest 0%6:00 · the hosts 100% · guest 0%6:00 · the hosts 100% · guest 0%9:00 · the hosts 34.9% · guest 65.1%9:00 · the hosts 34.9% · guest 65.1%12:00 · the hosts 99.9% · guest 0.1%12:00 · the hosts 99.9% · guest 0.1%15:00 · the hosts 100% · guest 0%15:00 · the hosts 100% · guest 0%18:00 · the hosts 98.6% · guest 1.4%18:00 · the hosts 98.6% · guest 1.4%21:00 · the hosts 41.7% · guest 58.3%21:00 · the hosts 41.7% · guest 58.3%24:00 · the hosts 80.8% · guest 19.2%24:00 · the hosts 80.8% · guest 19.2%27:00 · the hosts 100% · guest 0%27:00 · the hosts 100% · guest 0%30:00 · the hosts 99.4% · guest 0.6%30:00 · the hosts 99.4% · guest 0.6%33:00 · the hosts 100% · guest 0%33:00 · the hosts 100% · guest 0%36:00 · the hosts 100% · guest 0%36:00 · the hosts 100% · guest 0%39:00 · the hosts 99.9% · guest 0.1%39:00 · the hosts 99.9% · guest 0.1%42:00 · the hosts 100% · guest 0%42:00 · the hosts 100% · guest 0%45:00 · the hosts 7.6% · guest 92.4%45:00 · the hosts 7.6% · guest 92.4%48:00 · the hosts 20.5% · guest 79.5%48:00 · the hosts 20.5% · guest 79.5%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 78.6% · guest 21.4%57:00 · the hosts 78.6% · guest 21.4%1:00:00 · the hosts 100% · guest 0%1:00:00 · the hosts 100% · guest 0%1:03:00 · the hosts 38.3% · guest 61.7%1:03:00 · the hosts 38.3% · guest 61.7%1:06:00 · the hosts 100% · guest 0%1:06:00 · the hosts 100% · guest 0%1:09:00 · the hosts 49.1% · guest 50.9%1:09:00 · the hosts 49.1% · guest 50.9%1:12:00 · the hosts 83.1% · guest 16.9%1:12:00 · the hosts 83.1% · guest 16.9%1:15:00 · the hosts 79.7% · guest 20.3%1:15:00 · the hosts 79.7% · guest 20.3%1:18:00 · the hosts 84.7% · guest 15.3%1:18:00 · the hosts 84.7% · guest 15.3%1:21:00 · the hosts 77.2% · guest 22.8%1:21:00 · the hosts 77.2% · guest 22.8%1:24:00 · the hosts 88.9% · guest 11.1%1:24:00 · the hosts 88.9% · guest 11.1%1:27:00 · the hosts 60.8% · guest 39.2%1:27:00 · the hosts 60.8% · guest 39.2%
Sharpest disagreement ▶ 40:50 Sacks accuses Calacanis of losing the debate

Sacks forcefully dismisses Calacanis's point about January 6th as an irrelevant non-sequitur that proves he lost the argument on ICE enforcement.

Hardest push from the hosts ▶ 19:36 Sacks refutes Calacanis's polling data

Sacks directly rejects Calacanis's citation of a Washington Post survey regarding DC National Guard sentiment, questioning its objectivity and presenting counter-polling.

Biggest teaching moment ▶ 22:15 Gerstner provides 30-year deportation historical data

Gerstner educates the panel with precise historical statistics from Clinton through Biden to prove current deportation rates are a mean-reversion rather than an anomaly.

The host holds their own ▶ 17:30 Sacks cites presidential troop deployment precedents

Sacks demonstrates deep legal and historical command by citing JFK's 30,000-troop deployment at Ole Miss to establish clear federal authority for troop usage in domestic cities.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Trump Brokers Gaza Peace Deal and Middle East Diplomacy 6211 David Sacks and Chamath Palihapitiya outline Middle East diplomatic mechanics and macro incentives regarding oil monetization. Brad Gerstner agrees strongly, framing the administration's broader foreign policy as ambitious moonshots.
ICE Raids in Chicago and Soft-on-Crime Debate 6233 Sacks cites specific legal precedents including JFK and Eisenhower sending federal troops to enforce federal law, along with local murder cases to argue against lenient prosecutors.
Public Polling Debate on National Guard Deployments 5346 Calacanis presents Washington Post polling showing high local opposition to military presence in DC, which Sacks immediately challenges by citing alternative pollsters and positive crime outcomes.
Bipartisan Context of Historical U.S. Deportations 4632 Brad Gerstner educates the hosts on historical deportation metrics across Clinton, Obama, and Biden administrations to demonstrate that current figures represent a return to historical averages.
Critique of ICE Methods and Trump Approval Ratings 6346 Calacanis delivers a detailed monologue presenting net approval charts, issue breakdowns, and cost metrics to argue that aggressive ICE tactics hurt the political standing of Trump 2.0.
Debate on Enforcement Tactics, Antifa, and Border Policy 6477 Sacks forcefully rejects Calacanis's argument regarding ICE conduct, attributing the street violence entirely to organized Antifa groups and left-wing NGO funding rather than federal officers.
Final Synthesis on Urban Safety and Political Alignment 6476 Calacanis proposes fining non-compliant employers $10,000 as a humane enforcement alternative, but Sacks dismisses his invocation of January 6th as a debate-losing non-sequitur.
OpenAI and AMD $60 Billion Compute Partnership 5722 Gerstner breaks down AMD's $60 billion partnership with OpenAI, explaining Lisa Su's strategic gamble and providing market data comparing Nvidia and AMD's revenue trajectory since 2022.
AI Infrastructure Limits, Energy, and HBM Supply Chains 7512 Palihapitiya analyzes power supply bottlenecks and HBM memory constraints, explaining how controlling intermediate hardware allocations allows AI labs to extract structural taxes from partners.
Long-Term AI Capex, Demand Forecasting, and Jevons Paradox 7322 Sacks references Jevons paradox and early internet dark fiber history to explain why lower token costs expand total compute demand rather than saturate it.
Hardware Utilization, Server Failures, and Physics Limits 7433 Palihapitiya highlights Meta research showing server rack system failure rates between 9% and 20% due to extreme physical constraints at two-nanometer scales.
AI Infrastructure CapEx, Data Centers, and Hardware Competition 7522 Sacks calculates the capital requirements for scaling data centers at $50 billion per gigawatt, while Gerstner argues performance-per-watt efficiencies keep Nvidia ahead.
AI Round-Tripping, Revenue Sustainability, and Macroeconomic Growth 7634 Gerstner refutes market fears about round-tripping, defining criteria for sham transactions and contrasting Nvidia's minor equity checks with legitimate end-user demand.
The Global Gold Rally, Central Bank Reserves, and De-Dollarization 8422 Palihapitiya and Sacks analyze the record gold surge, citing Tether's physical gold accumulation, central bank reserve rebalancing, and BRICS hedging against dollar weaponization.
Polymarket Valuation, Prediction Markets, and Wisdom of Crowds 7511 Gerstner shares Francis Galton's 1907 ox-weight experiment to illustrate how prediction markets capture crowd wisdom better than isolated experts, following ICE's investment in Polymarket.

Statements from this episode (44)

Opinion
Sacks: Trump's crypto policies drove Robinhood's stock price surge
“By the way, what's the reason why your Robinhood stock is through the roof? Because of the crypto policies of the Trump administration.”
David Sacks Oct 10, 2025 ▶ 0:46
Disclosure
Calacanis says he paid under a penny per share for Robinhood stock
“I paid less than a penny for my shares, but yes, it went from 13 to one 50.”
Jason Calacanis Oct 10, 2025 ▶ 0:59
Disclosure
Chamath says he suffered a $5 billion drawdown following SPAC crash
“Only a five billion dollar drawdown for me between those memories.”
Chamath Palihapitiya Oct 10, 2025 ▶ 2:20
Prediction Open · timeframe Oct 2045
Chamath: Nuclear, solar, and natural gas will diminish global oil demand in 10-20 years
“Eventually in the 10 or 15 or 20 year timeframe, you'll have an abundance of electrons from nuclear. In the meantime, you have an abundance of electrons from net gas. You have an abundance of electrons, frankly, from solar. And all of these things will ultimat…”
Chamath Palihapitiya Oct 10, 2025 ▶ 8:04
Opinion
Gerstner: Trump, Kushner, and Witkoff deserve Nobel Peace Prize if peace deal succeeds
“If this happens, Wyckoff, Kushner, and the president all deserve the Nobel Peace Prize. If even 80% of it works out, I think it's worthy of a peace prize.”
Brad Gerstner Oct 10, 2025 ▶ 11:46
Assertion Contradicted
Sacks: Donald Trump ended seven wars in seven months
“President Trump has ended seven wars in seven months before this one.”
David Sacks Oct 10, 2025 ▶ 13:10
Assertion Supported
Sacks: Homicides and carjackings fell dramatically in D.C. after federal intervention
“No one denied the feds had a right to go in, and they did, and there have been immediate positive results. Homicides and carjackings and so forth have fallen dramatically.”
David Sacks Oct 10, 2025 ▶ 16:38
Prediction Held up
Sacks: Federal forces will deploy to Memphis following governor's invitation
“In Memphis, they have been invited by the Republican governor to go in and help, and so they will.”
David Sacks Oct 10, 2025 ▶ 17:01
Assertion Partly supported
Calacanis: Washington Post poll shows 79% of D.C. residents oppose National Guard
“61% of people said in DC, according to the Washington Post's survey, that The people in Washington D.C. Said the military police present has made them feel less safe. 79% of people polled in D.C. In the same survey said they don't want the National Guard in th…”
Jason Calacanis Oct 10, 2025 ▶ 19:09
Assertion Supported
Sacks: TIPP Insights poll shows Trump with net positive approval in cities
“These Tip Insights showed that Trump had a net positive rating among voters in cities, 47 to 44, and that his numbers have improved recently.”
David Sacks Oct 10, 2025 ▶ 20:07
Assertion Not checkable as stated
Sacks: D.C. residents welcomed Trump's National Guard deployment as crime dropped
“We saw this with DC, that the locals, the residents, including among the Black population, were very happy with the fact that Trump sent in the National Guard and crime has been massively reduced.”
David Sacks Oct 10, 2025 ▶ 20:22
Assertion Partly supported
Gerstner: U.S. deportations averaged 200k under Clinton and 300k under Obama
“Court-ordered removals and deportations average 200,000 per year, 1997 to 2000. That's under Clinton. 200,000 a year. They averaged 300,000 a year, peaking at 400,000 under Obama. Right? Deportations plummeted under Biden.”
Brad Gerstner Oct 10, 2025 ▶ 22:31
Assertion Partly supported
Gerstner: SF Mayor Daniel Lurie posts nightly arrests of 100 fugitives
“If you look at what Daniel Lurie is doing in the city of San Francisco, he is live blogging on Twitter and Instagram, the arrest of a hundred fugitives per night.”
Brad Gerstner Oct 10, 2025 ▶ 23:38
Assertion Supported
Calacanis: Only 17% of Americans believe Trump is making them better off
“Only 17% of Americans believe Trump is making them better.”
Jason Calacanis Oct 10, 2025 ▶ 27:01
Prediction Not checkable as stated
Calacanis: Democrats will shellack Republicans in midterms if tactics continue
“The Democrats are going to shellack the Republicans in the midterms if this continues.”
Jason Calacanis Oct 10, 2025 ▶ 28:57
Assertion Partly supported
Calacanis: U.S. spending $30B on ICE, or $100K per deportation
“We're spending thirty billion dollars on ice now. We've tripled the budget. We're spending a 100,000 dollars per person deported.”
Jason Calacanis Oct 10, 2025 ▶ 30:26
Assertion Supported
Sacks: DOGE had a 35% approval rating and 57% disapproval rating
“It had only a 35% approval rating while 57% disapproved.”
David Sacks Oct 10, 2025 ▶ 33:49
Assertion Contradicted
Sacks: Left-wing NGOs laundered over $100M of public money for Antifa
“These NGOs have laundered over a hundred million dollars of our money to fund terrorist violence in our streets.”
David Sacks Oct 10, 2025 ▶ 34:56
Prediction Held up
Calacanis: One-third of US deportations will be self-deportations
“I think we'll see that in the statistics, that of the three or 400,000 people we wind up deporting, Probably a third of them are going to be people who self-deported”
Jason Calacanis Oct 10, 2025 ▶ 39:36
Assertion Not checkable as stated
Calacanis: Trump administration insiders credit All-In Podcast for victory
“I've heard from people in and around the administration. They believe that that was a key part in their success this time.”
Jason Calacanis Oct 10, 2025 ▶ 41:30
Prediction Didn’t hold up
Chamath: Crime data in 3-4 months will validate state troop deployments
“I think what will be interesting is in three or four months from now, when we see the incremental crime stats data and whether we see Wes wrap that up in a big bow and say, look what I did. And I think if you do see that, then I think what you will have seen i…”
Chamath Palihapitiya Oct 10, 2025 ▶ 43:16
Assertion Supported
Calacanis claims OpenAI committed to 6 gigawatts of AMD GPUs
“OpenAI committed to purchasing six gigawatts worth of AMD's next-gen GPUs.”
Jason Calacanis Oct 10, 2025 ▶ 44:25
Assertion Supported
Jason Calacanis: AMD granted OpenAI warrants for 160M shares
“AMD granted OpenAI warrants And that's interesting for up to a hundred and sixty million shares or 10% of the companies.”
Jason Calacanis Oct 10, 2025 ▶ 44:31
Opinion
Calacanis: OpenAI will effectively receive AMD GPUs for free
“And with that massive increase in their stock price, Brad, I think this means that OpenAI is going to get a lot of GPUs essentially for free.”
Jason Calacanis Oct 10, 2025 ▶ 44:40
Assertion Partly supported
Gerstner: Nvidia captured nearly 100% of incremental AI data center revenues
“In twenty-twenty-two, two and a half years ago, NVIDIA and AMD had basically the same revenue, twenty-five billion dollars, right? This year, NVIDIA will do 10 X that at roughly, you know, 210, two hundred and thirty billion dollars, and AMD will do thirty-thr…”
Brad Gerstner Oct 10, 2025 ▶ 46:00
Prediction Open · timeframe Oct 2028
Gerstner: AMD could capture $150B incremental revenue from OpenAI deal
“If it works, she's going to get a hundred and fifty billion of incremental revenue just from open AI, right? For building out five gigawatts.”
Brad Gerstner Oct 10, 2025 ▶ 47:35
Assertion Contradicted
Gerstner: Wall Street estimates Nvidia revenue growth flatlining under 10% CAGR from 2027-2029
“So if you look at that estimate, you know, starting in 20, 27, it basically flatlines 27 through 29 for Nvidia. Right? Less than 10% CAGR in terms of the growth for NVIDIA. They have by 20 29, them doing three hundred and sixty billion in revenue compared to t…”
Brad Gerstner Oct 10, 2025 ▶ 50:04
Prediction Not checkable as stated
Chamath: Energy and supply chain inputs will constrain AI growth and empower key suppliers
“I think that what you're going to see, and you're seeing it in those revenue graphs, is that there is a traffic jam that's happening in growth where it won't be the ability to actually build next-gen silicon. But it'll be the energy inputs that will constrain …”
Chamath Palihapitiya Oct 10, 2025 ▶ 51:04
Prediction Not checkable as stated
Chamath: Energy providers will demand equity stakes in AI companies as power becomes the key constraint
“Energy will be the gating item beyond a shadow of a doubt. And so if you control electrons, any form of electrons, hydrocarbon to electron, electron to electron, photon to electron, doesn't matter. You will then be in a position to start asking for equity, ups…”
Chamath Palihapitiya Oct 10, 2025 ▶ 52:58
Insight
Sacks: Lowering AI token costs will invoke Jevons paradox, boosting demand
“As the cost per token comes down more and more, that's going to enable AI to be used in more and more contexts where previously it wasn't economically efficient. Now it will be. So that's going to fuel the demand.”
David Sacks Oct 10, 2025 ▶ 56:45
Assertion Supported
Gerstner: Nvidia trades at lower P/E ratio than at $200 share price
“The reality today is NVIDIA trades at a lower price to earnings multiple than it did when it was 200 dollars a share.”
Brad Gerstner Oct 10, 2025 ▶ 57:12
Prediction Not checkable as stated
Gerstner: There will be no unused GPUs anywhere in the world next year
“There's not going to be a dark GPU in the world next year.”
Brad Gerstner Oct 10, 2025 ▶ 57:36
Assertion Not checkable as stated
Palihapitiya: AI hardware system failures occur 9% to 20% of the time
“At the server rack system level, these things are, you know, failing nine to 20% of the time.”
Chamath Palihapitiya Oct 10, 2025 ▶ 59:30
Assertion Not checkable as stated
David Sacks: Each gigawatt data center costs around $50B to build
“Here's a rule of thumb is that each gigawatt data center is about fifty billion dollars of investment. Roughly. Between the chips, the land power shell, it's about fifty billion per gigawatt.”
David Sacks Oct 10, 2025 ▶ 1:01:44
Prediction Open · timeframe Dec 2030
Gerstner: Generative AI revenue will exceed $1T annually by 2030
“We see about a hundred billion dollars already in incremental generative AI revenue in twenty-twenty-six. That has to grow to well over a trillion by twenty-thirty.”
Brad Gerstner Oct 10, 2025 ▶ 1:05:13
Prediction Not checkable as stated
Gerstner predicts OpenAI will exit 2025 with $20B revenue run rate
“They'll exit this year at over twenty billion run rate.”
Brad Gerstner Oct 10, 2025 ▶ 1:10:32
Prediction Open · timeframe Dec 2027
Gerstner: Nvidia will generate $450B in cash flow from 2025 to 2027
“25 through 27, NVIDIA will generate four hundred and fifty billion dollars, half a trillion dollars of cash flow.”
Brad Gerstner Oct 10, 2025 ▶ 1:11:37
Assertion Not checkable as stated
Sacks: AI accounts for 40% of 2025 US GDP growth and 80% of stock gains
“40% of US GDP growth this year is AI. And AI companies have accounted for 80% of the gain in US stocks this year.”
David Sacks Oct 10, 2025 ▶ 1:13:53
Prediction Not checkable as stated
Sacks: Unregulated AI will drive 4% to 5% US GDP growth for years
“If we just allow it to happen, if we allow the innovators to do what they do best, I think this is going to drive four or five percent GDP growth for the next few years.”
David Sacks Oct 10, 2025 ▶ 1:14:34
Assertion Not checkable as stated
Chamath: Tether is the most important net new buyer driving gold surge
“Gold is up because there are many more net new buyers. Who is the most important net new buyer? It's Tether. Tether has been issuing a stable coin called Tether Gold, where they'll actually custody the gold on your behalf, and it's the amount and volumes of it…”
Chamath Palihapitiya Oct 10, 2025 ▶ 1:16:11
Assertion Supported
Sacks: China increased gold reserves for 11 consecutive months to 74M ounces
“China's central bank has been increasing its gold reserves for 11 consecutive months. They added 40,000 ounces in September alone. As of the end of September, China's gold reserves totaled seventy four million ounces valued at two hundred eighty three billion.”
David Sacks Oct 10, 2025 ▶ 1:18:31
Prediction Open · timeframe Oct 2028
Sacks: BRICS gold-backed trade currency unlikely in next few years
“The best guess about what they're going to do is it'll be some sort of gold-backed certificates where they can settle up huge international trade flows using gold certificates. So that might be part of what's driving this as well. That's a very long-term proje…”
David Sacks Oct 10, 2025 ▶ 1:19:46
Assertion Supported
Calacanis claims ICE invested $2B into Polymarket at $9B valuation
“ICE, a different ICE, Intercontinental Exchange, had invested two billion at a nine billion dollar post or somewhere in that range.”
Jason Calacanis Oct 10, 2025 ▶ 1:20:48
Prediction Not checkable as stated
Palihapitiya: Everything will become a tokenized market with long/short trading
“Everything is becoming a market, and you're going to see this convergence where eventually you'll have sports that look like markets, you'll have knowledge that becomes a market, and then you'll ultimately have equities and debt instruments also behave this wa…”
Chamath Palihapitiya Oct 10, 2025 ▶ 1:21:48
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