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E103: Tech layoffs surge, big tech freezes hiring, optimizing for profits, election preview & more

(0:00) Jason's new brand deal (1:18) Bestie updates (9:12) "Ligma/Johnson" blunder outside of Twitter HQ (15:38) Surge of tech layoffs at Twitter, Stripe, Lyft, Opendoor, Chime and others; preparing for a longer downturn than originally anticipated (35:28) Macro trends, big tech freezes hiring, how founders can think about the last 3 years and the next 3 years (54:04) Midterm election preview, understanding the shift toward populism (1:17:32) Science corner: Understanding Meta's AlphaFold competitor Follow the besties: https://twitter.com/chamath https://linktr.ee/calacanis https://twitter.com/DavidSacks https://twitter.com/friedberg Follow the pod: https://twitter.com/theallinpod https://linktr.ee/allinpodcast Intro Music Credit: https://rb.gy/tppkzl https://twitter.com/yung_spielburg Intro Video Credit: https://twitter.com/TheZachEffect Referenced in the show: https://twitter.com/elonmusk/status/1588538640401018880 https://twitter.com/yoyoel/status/1587230924554399744 https://twitter.com/dee_bosa/status/1587158734689767425 https://twitter.com/TechBroDrip/status/1586370087287521280 https://twitter.com/elonmusk/status/1586149451348910081 https://layoffs.fyi https://twitter.com/Post_Market/status/1577793695734284289 https://twitter.com/bullfightcap/status/1588311417052012544 https://www.youtube.com/watch?v=vBkzm4a7iY4 https://finra-markets.morningstar.com/BondCenter/BondDetail.jsp?ticker=C996374&symbol=COIN5259271 https://www.cnsnews.com/article/washington/susan-jones/622-labor-force-participation-declines-3rd-straight-month https://fred.stlouisfed.org/series/CIVPART https://research.stlouisfed.org/publications/employment-research/are-economists-underestimating-the-labor-force-participation-rate https://www.bbc.com/news/business-63471725 https://www.google.com/finance https://twitter.com/bgurley/status/1554589241560010753 https://appleinsider.com/articles/22/11/02/apple-is-freezing-hiring-cutting-budgets-claims-new-report https://www.cnn.com/2022/11/02/politics/cnn-poll-democrats-midterm-elections/index.html https://www.theatlantic.com/ideas/archive/2022/10/covid-response-forgiveness/671879 https://www.axios.com/2022/11/04/trump-presidential-run-2024-announcement https://projects.fivethirtyeight.com/biden-approval-rating/ https://www.joshbarro.com/p/the-problem-with-pro-democracy-rhetoric https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=MCSSTUS1&f=M https://about.fb.com/news/2022/11/ai-protein-research-could-drive-progress-in-medicine-clean-energy #allin #tech #news

Chamath PalihapitiyahostJason CalacanishostDavid Friedberghost
Nov 5, 20221h 28mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 1:19

    Jason’s Moncler/Uber hat gag and new sponsorship tease

    The episode kicks off with the crew roasting Jason’s outfit and joking about luxury-brand crossovers. Jason hints at a sponsorship/brand deal while everyone piles on with ad-placement jokes.

    • Jason shows off an Uber/Moncler crossover hat and Moncler shirt
    • Running gag about merch: watch, mug, tattoos, logo placement
    • Jason jokes about getting paid and “wetting the beak”
    • Chamath teases Jason would wear ads like a racecar driver
  2. 1:19 – 4:34

    Bestie updates: helping Elon at Twitter and the advertiser-boycott narrative

    Chamath and Jason address rumors that they’re joining Twitter full-time, emphasizing they’re only helping temporarily. Chamath explains the reported spike in racist content as a bot-driven 4chan-style attack and argues activists and media are manufacturing a controversy to pressure advertisers.

    • Chamath denies leaving Craft; says he and Jason are assisting part-time
    • Elon tweet about advertiser boycott sparks discussion
    • Claimed rise in racist tweets attributed to bot spam attack, not policy changes
    • Trust & Safety response described as quick shutdown
    • Critique of activist reporting and media amplification dynamics
  3. 4:34 – 9:12

    The future of bots + product ideas: micropayments and changing journalism incentives

    Sacks shifts to the evolving sophistication of bots using AI-generated images and text, making detection harder for all platforms. The group brainstorms monetization and media-quality experiments, including micropayments to publishers and removing bylines to reduce performative journalism.

    • Sacks cites Karpathy/Lex Fridman discussion on next-gen bots
    • AI (e.g., GPT-3) and synthetic profiles raise the bar for detection
    • Friedberg advocates micropayments/subscriptions integrated into Twitter
    • Sacks proposes no-bylines (Economist-style) to improve incentives
    • Debate: trust-building, harassment concerns, and Substack vs legacy media
  4. 9:12 – 15:38

    ‘Ligma/Johnson’ prank outside Twitter HQ and what it reveals about modern media

    The hosts dissect the viral stunt where pranksters posed as fired Twitter employees and journalists reported it without basic verification. The conversation becomes a broader critique of click-driven newsrooms, reduced fact-checking, and narrative confirmation bias.

    • Recap of prank: fake fired employees with names “Rahul Ligma” and “(Mike) Johnson”
    • Journalists repeat the story; some later apologize
    • Sacks highlights how obvious the joke was—even to his kids
    • Debate: live coverage pressures vs. willingness to ignore facts that fit priors
    • Broader point: media can be manipulated because incentives reward speed and clicks
  5. 15:38 – 21:08

    Tech layoffs surge: the new regime is profitability over growth

    Jason lists major layoffs (Lyft, Stripe, Opendoor, Chime, Dapper, Twitter) and the group frames them as a structural shift. Sacks ties the downturn to the Fed’s higher-for-longer rates, making near-term cash flows far more valuable and forcing companies to cut burn aggressively.

    • Layoff roll call across fintech, SaaS, and consumer tech
    • Use of layoffs.fyi and discussion of a “double dip” in reductions
    • Sacks: higher risk-free rates reset required returns and compress long-duration valuations
    • Core tradeoff: 20% growth + profit beats 100% growth + burn in this environment
    • Friedberg: Elon/Twitter may reset expectations for how lean large tech can run
  6. 21:08 – 24:27

    Private equity and public software: restructuring, going-private waves, and cost of capital math

    The conversation zooms into the software universe: many private companies are valued richly relative to stressed public comps. They discuss how many unprofitable public software companies may be forced into restructurings or going-private deals, with expensive debt and lower valuations driving hard choices.

    • Sacks references a chart comparing private vs public software valuation tiers
    • Argument: hundreds of private ‘mid-unicorns’ may face painful repricing and cuts
    • Friedberg: going-private may be necessary for restructuring away from public scrutiny
    • Sacks: at least half of public software lacks near-term path to profitability
    • Discussion of debt markets, convert yields, and why PE must pay less without cheap leverage
  7. 24:27 – 47:25

    Founder playbook for downturns: cut fast, reprice reality, and protect runway

    Chamath and Sacks give tactical advice to founders: move quickly on burn reduction, ignore prior peak valuations, and plan for a longer recession. They argue delayed or “tepid” layoffs cause repeated turmoil, while decisive action can preserve optionality and survival.

    • Chamath: portfolio performance deteriorating Q1→Q3; widespread reforecasting
    • Sequoia-style runway chart: early cuts extend survival; late cuts can still end in failure
    • Dilution reframed: leftover cash may represent far more dilution at today’s valuations
    • Sacks: compare startup returns vs T-bills, munis, dividend stocks—capital has alternatives now
    • Guidance: accept hard valuation resets instead of complex ego-preserving financing
  8. 47:25 – 53:45

    Big Tech hiring freezes and buybacks: when do Google/Facebook/Apple hit the brakes?

    Jason questions why Google and Meta headcount kept rising despite slowdown signals, while Apple is reportedly freezing non-R&D hiring. The group discusses what investors want to see—deep credible cost cuts, clear profitability paths, and potentially buybacks—while noting trust and narrative matter for stock reactions.

    • Apple non-R&D hiring freeze seen as a major macro signal
    • Jason highlights continuing headcount increases at Google/Meta (at least in prior quarter data)
    • Argument: investors reward speed/depth of cuts and believable profit trajectories
    • Discussion of share buybacks combined with expense cuts and investor trust
    • Comparison points: Airbnb/Uber post-cuts fundamentals vs broader market drawdowns
  9. 53:45 – 59:41

    Midterm preview: red-wave indicators, key Senate races, and divided government expectations

    The hosts review polling and macro sentiment pointing toward Republicans taking the House and a close fight for the Senate. They talk through Pennsylvania, Arizona, Georgia and others, and what a split Congress/White House could mean for legislation vs investigations.

    • Polling drivers: Biden approval, wrong-track numbers, economy vs abortion salience
    • Base case: GOP wins House; Senate described as coin flip with wave-year skew risk
    • Race talk: Oz vs Fetterman dynamics; Arizona tightening; Ohio leaning GOP
    • Prediction: divided government leads to gridlock; spending may slow
    • Expectation: increased congressional investigations, especially around COVID policy decisions
  10. 59:41 – 1:10:45

    COVID accountability debate: lab leak, ‘pandemic amnesty,’ and institutional trust

    The conversation intensifies around COVID-era decision-making, censorship of debate, and calls for investigations rather than amnesty. They connect accountability to downstream harms—education setbacks, mental health, and medication trends—arguing transparency is essential for rebuilding trust in institutions.

    • Critique of ‘pandemic amnesty’ framing; demand for accountability and inquiry
    • Discussion of lab-leak plausibility and prior suppression of debate online
    • Sacks: long-tail damage to children’s education and psychology
    • Claim: rising stimulant prescriptions as a negative feedback loop after school disruptions
    • Consensus thread: transparency and accountability are needed to restore legitimacy
  11. 1:10:45 – 1:17:36

    Populism vs the ‘expert class’: why voters are revolting and what comes next

    Friedberg frames politics as cyclical but warns populism can produce destabilizing swings; Chamath argues populism is a rational response to elite institutional failures (finance, Fed policy, COVID). They converge on a shared need for competence and accountability while disagreeing on how dangerous populism is.

    • Friedberg: democratic cycles and the rise of populism across countries and parties
    • Examples invoked: Trump, Brexit, Bolsonaro; also left-populist figures
    • Chamath: crises were caused by experts (MMT/ZIRP, 2008, CDC/COVID response), not populists
    • Debate about ‘threat inflation’ and elite incentives to retain power
    • Shared conclusion: accountability and competence are the antidotes to institutional distrust
  12. 1:17:36 – 1:28:50

    Science Corner: Meta’s protein-structure work vs AlphaFold, and why metagenomics matters

    Friedberg explains Meta’s release of predicted structures for hundreds of millions of proteins derived from metagenomic samples (soil, ocean, gut). He contrasts Meta’s approach with AlphaFold’s methods, then explores the practical upside: a vastly expanded search space for drugs, agriculture, and industrial biology.

    • Primer: DNA→amino acids→proteins; why 3D structure determines function
    • Metagenomics: sequencing environmental DNA fragments to discover unknown genes/species
    • Meta predicts structures for ~617M proteins; discussion of quality and methodological differences vs AlphaFold
    • Applications: antibiotics, fungicides, fertilizers (e.g., nitrogen fixation), materials science, medicine
    • Sacks ties progress to falling compute costs and a shift toward in-silico experimentation

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