Ray Dalio: This market looks a lot like 1998-99 @Ray Dalio joined Friedberg for an All-In interview, where he described the state of the market: On investor psychology: -- "I think a lot of investors make the mistake of thinking, 'I want to buy good things.'" -- "But, a great company that gets expensive is much worse than a bad company that's really cheap." On overpriced companies building AI: -- "Everybody says, 'That's great.' And it's going to be great for the future, like the internet and dot-com, but the price has to be paid attention to." -- "And I'm particularly concerned (for) those companies at a time when we are in a situation with the interest rates operating as we are." Why it feels like 1998-99: -- "In other words, this looks quite a lot like 1998 or '99, where the assets are hot, the prices are high, and you have a rising interest rate environment." -- "That is a classic issue." #stocks #stockmarket #allin #podcast #clips #allinpodcast #investor #investing #ai #bubble #raydalio #wallstreet #smart #learn

By looking at the data, David Sacks makes a prediction about the US economy and if a recession is coming. What do you think? #useconomy #economynews #economy #inflation2024 #unitedstates

The Low-Key Recession the headline numbers might not say recession, but if you dig a little deeper, it's there. chamath breaks it down: 1) nonfarm jobs added and GDP have each been revised down this year -- "Right now, we're in this trend where we are overestimating, and revising down." 2) cyclical businesses are telling us demand isn't there -- most recently, Airbnb dropped ~15% after reporting a demand slowdown chamath's take: "I think we're in a recession. It probably becomes more obvious in Q3 and Q4." "And so Powell's going to have to cut." "The question is, will he overreact to the pressure and cut 75-100 (bps) versus 25 and take it slow?" #tiktok #economy #jobs #jobmarket #hiring #tech #startups #gdp #data #economics #finance #market #stocks #stockmarket #news #clips #podcast #podcastclips

Bestie Q&A!: The One Question Chamath Asks During Every Job Interview If you want to know whether or not a candidate can contribute to your company, ask them this: -- take a few minutes to think about something that you are an absolute expert in -- it does not matter what it is (can be french horn, poker, chess, etc.) -- explain it in ~2 minutes Here's what this question shows: Can the candidate think on their feet? -- this forces them out of the coached answers people prepare for job interviews Can they achieve mastery of a single thing? -- this shows the ability to focus deeply on one goal Can they simplify complex topics and communicate them clearly? -- synthesizing complicated ideas or subjects in an easily understandable way is incredibly valuable "That's a very powerful skill inside of a company." #fyp #tiktok #allinpodcast #hr #hiring #jobinterview #jobs #work #technology #startups #markets #stockmarket #hrtips

Could American households embrace robots sooner than expected, or is it still limited to industrial applications? #theallinpodcast #robotics #tech #technews #geckorobotics #davidfriedberg #jasoncalacanis #science #sciencecorner #prediction #futuretech #techtok

Inside Google's early days -- David Friedberg reveals meetings and deals that didn't pan out for the company. #theallinpod #google #davidfriedberg #sergeybrin #larrypage #crm #salesforce #oracle #netsuite #larryellison #shopify #tobiaslutke #startup #siliconvalley

How the besties think about defense investing #fyp #tech #defense #america #military #budget #learn #business #tiktok

How to Invest like a Contrarian by David Friedberg #fyp #tiktok #tech #venturecapital #startups #allinpodcast #business #venturecapital #investing #invest #stocks

Are we witnessing the collapse of Western cities? #chamathpalihapitiya #theallinpodcast #paris #sanfrancisco #sanfranciscocrisis #london #china #japan #india #theallinpod

Should Creators Get Paid for AI Training Data? Three Potential Outcomes for AI Training Rights, according to David Sacks last week, Adam Schiff proposed a bill called the "Generative AI Copyright Disclosure Act" it would force companies or individuals training AI models to disclose any copyrighted data used in training Sacks sees three potential outcomes: 1) Fair use for all: Courts decide AI training is fair use, and copyright infringement is measured on the outcomes (Friedberg's solution!); AI innovation is the big winner 2) Regulation: AI training is regulated, either by a court decision or a bill like Schiff's; incumbents and creators are the big winners 3) Compromise: Clearinghouse for AI training rights is created; incumbents still benefit, but it's a theoretically functional system #fyp #tiktok #ai #generativeai #trainingdata #startups #tech #business #investing #economy #rights #copyright #aimusic #aiart