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E59: Twitter's content warning algo, equity audits, politicians trading stocks, Fed's next move

0:00 Bestie Intro: Sweater update, NYC stories 8:30 Sacks got flagged on Twitter, theorizing on Twitter's content warning algorithm 14:37 "Racial equity audits" with product-level consequences might be coming to Big Tech 27:37 Elizabeth Warren vs. Elon on Twitter, birth of "Senator Karen," understanding where the Fed can go from here 42:56 Omicron spreading rapidly in NYC, but deaths are still relatively flat, anticipating the quality of life split for blue/red states going forward 53:02 Jeremy Strong's New Yorker profile and backlash, politicians trading stocks 1:08:57 Future of mRNA technology 1:15:39 SF Mayor London Breed's speech on increasing law enforcement: is she the right person to turn the ship around? 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/DavidSacks/status/1470799225566859268 https://freebeacon.com/democrats/democrats-push-racial-equity-audits-to-cement-control-of-tech-companies https://bariweiss.substack.com/p/get-ready-for-the-no-buy-list https://mobile.twitter.com/SenWarren/status/1470415896053227522 https://mobile.twitter.com/SenSanders/status/1471512117257846784 https://fred.stlouisfed.org/series/WALCL https://twitter.com/mangan150/status/1470827691527999494 https://twitter.com/peterpham/status/1471514774546509829 https://www.newyorker.com/magazine/2021/12/13/on-succession-jeremy-strong-doesnt-get-the-joke https://www.etalk.ca/celebrity/jessica-chastain-and-more-celebs-unnecessarily-run-to-jeremy-strong-defence-after-new-yorker-profile.html https://www.wsj.com/articles/stephen-curry-warriors-shooting-11637027582 https://www.businessinsider.com/congress-stock-act-violations-senate-house-trading-2021-9#sen-dianne-feinstein-a-democrat-from-california-1 https://www.investopedia.com/regional-fed-presidents-step-aside-amid-trading-backlash-5203208 https://www.wsj.com/articles/131-federal-judges-broke-the-law-by-hearing-cases-where-they-had-a-financial-interest-11632834421 https://twitter.com/bgmasters/status/1471183791121055747 https://www.npr.org/2021/09/21/1039313011/tiktokers-are-trading-stocks-by-watching-what-members-of-congress-do https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-research-finds-immune-system-responds-to-mrna-treatment-for-cancer https://twitter.com/robkhenderson #allin #tech #news

Chamath PalihapitiyahostDavid FriedberghostJason CalacanishostLondon Breedguest
Dec 17, 20211h 28mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 8:29

    Sweater talk, inside jokes, and NYC hang stories

    The besties open with a running gag about expensive sweaters and brand callouts, riffing on audience reactions like “Sweater Karen.” They segue into casual New York stories—helicopters, fancy dinners, and celebrity run-ins—setting the tone before the news topics.

    • Sacks and Chamath compare luxury sweaters; escalating button/material jokes
    • “Sweater Karen” callback and audience/DM banter
    • Chamath’s NYC trip: helicopter/golf anecdote and late-night Carbone second dinner
    • JCal’s helicopter landing scare story at the East Side Heliport
    • Light podcast housekeeping and intro energy
  2. 8:29 – 14:27

    Sacks gets a Twitter content warning: what triggers the algorithm?

    The group dissects why a benign Sacks tweet received a ‘heavy conversation’ label on Twitter. They debate whether the warning is algorithmic or editorial, whether it’s meant to reduce bullying, and why transparency about labeling matters for public discourse.

    • Reading the flagged tweet and the “Some conversations can get heavy” label
    • Machine-learned vs. human/editorial labeling theories
    • Is the label about the tweet content or heated replies/engagement?
    • Paternalism on social networks vs. open marketplace of ideas
    • Call for transparency: disclose the reason/source behind labels
  3. 14:27 – 25:39

    Racial equity audits in Big Tech: oversight, grift, and product veto power

    They react to proposals for independent ‘racial equity audits’ with potential power to block or shape product releases. The conversation focuses on incentives, lack of objective standards, and how audits could become political control mechanisms rather than compliance tools.

    • Explainer of the proposal: fines, biennial audits, and product-level review
    • Comparison to Microsoft’s antitrust-era oversight slowing product progress
    • Difference between diversity reporting vs. product ‘equity’ enforcement
    • Concern about unclear standards: “what principles are being audited?”
    • Audit firms framed as political consultants/activists; grift and power grab fears
  4. 25:39 – 27:37

    Equity vs. equality: outcomes, opportunity, and looming legal shifts

    The besties broaden the debate to the philosophical difference between equality of opportunity and equality of outcome. They argue ‘equity’ can be a catch-all political lever and predict a coming societal/legal reckoning (including affirmative action).

    • Equity framed as malleable and politically weaponized
    • Examples of ‘equity’ expanding into unrelated areas (e.g., “tree equity”)
    • Friedberg advocates equality of opportunity over outcome-driven approaches
    • Concerns about competitiveness and merit being undermined
    • Prediction of major court/legal changes affecting affirmative action and the wider debate
  5. 27:37 – 29:58

    Elizabeth Warren vs. Elon Musk: ‘Senator Karen’ and the politics of resentment

    They unpack the Warren–Musk Twitter feud over taxes, including Musk’s sharp replies and the ‘Senator Karen’ nickname. The discussion shifts into why politicians target high-profile business figures and how media incentives amplify conflict.

    • Warren’s ‘freeloading’ claim and Musk’s ‘most taxes in history’ rebuttal
    • Musk’s ‘Senator Karen’ line and why it resonated online
    • Time/FT Person of the Year dynamics and political ‘tilt mode’
    • Bigger question: do politicians track real-world context or chase attention?
    • How online ratio-ing and viral moments shape political narratives
  6. 29:58 – 40:18

    Build Back Better stalls as the Fed pivots: tapering, rate hikes, and inflation math

    The conversation moves to macro: why Build Back Better looks increasingly incompatible with high inflation and a hawkish Fed. They explain quantitative easing, tapering, and how the Fed’s balance sheet expansion affects asset prices, yields, and political feasibility.

    • Fed signals faster taper and multiple rate hikes; markets shift to macro focus
    • Clear explanation of QE: Fed buying treasuries/MBS and injecting liquidity
    • Tapering as slowing money creation and forcing market-clearing prices
    • Fed balance sheet growth from pre-2008 to post-COVID and implications
    • Risk of ‘toxic’ balance sheet if rates rise and bond prices fall
  7. 40:18 – 42:56

    Pandemic fallout beyond health: cognitive development hit and school/union incentives

    They highlight a study claiming children born during the pandemic show a significant drop in cognitive development, and debate what it implies about schooling and policy priorities. The segment argues that simply spending more isn’t enough without fixing incentives and classroom realities.

    • Study discussed: ~22 IQ-point drop claim, with worse impact on boys and low-SES families
    • Teachers’ importance and argument for higher pay/smaller classes
    • Frustration with remote schooling outcomes and union/parent incentive mismatch
    • Tutoring and summer school as necessary remediation
    • Government focus: fix core systems rather than scattershot spending
  8. 42:56 – 53:02

    Omicron surge with flatter deaths: endemic adaptation and ‘two Americas’ risk

    They review early Omicron patterns: explosive case growth with less severe outcomes in some datasets. The besties debate inevitable spread, policy fatigue, and the potential divergence between blue-state restrictions and red-state normalcy—especially around school closures.

    • Cases spike while hospitalizations/deaths look flatter in some regions
    • Omicron described as highly contagious/airborne; potential mass immunizing event
    • Endemic framing: not ‘one strain, one shot’ and done
    • Predictions: blue-state fatigue and political backlash if restrictions persist
    • Concern about two-track America if blue states close schools while red states don’t
  9. 53:02 – 57:25

    Jeremy Strong backlash: virtuosos vs. critics, and the politics/media parallel

    The Jeremy Strong New Yorker profile becomes a jumping-off point about excellence, perfectionism, and resentment-driven criticism. They compare method-acting intensity to elite performance in sports and connect the dynamic to how media and politicians attack successful figures.

    • Profile claims: Strong’s intense method acting and coworker friction
    • Celebrity defenses (e.g., actors and writers praising his craft)
    • Virtuoso/perfectionism examples (Steph Curry training anecdote)
    • Critics ‘not in the arena’ using platforms to tear down achievers
    • Parallel to political/media incentives to attack high-profile targets
  10. 57:25 – 1:08:49

    Politicians trading stocks: STOCK Act loopholes, judges’ conflicts, and bipartisan grift

    They pivot from ‘critics vs doers’ into alleged hypocrisy: lawmakers and officials trading with informational advantages. The group discusses weak enforcement, Pelosi’s comments, bipartisan examples, and why banning trading (or requiring blind trusts) could be a major reform issue.

    • STOCK Act intent vs. reality: weak penalties and widespread violations
    • Pelosi defending trading as ‘free market’ and the optics problem
    • Calls for blind trusts/divestment for members of Congress (like the president)
    • Extension to Fed officials and federal judges’ trading conflicts
    • Both parties implicated; opportunity for outsider candidates to campaign on reform
  11. 1:08:49 – 1:15:29

    mRNA beyond COVID: how RNA therapies could reshape medicine (cancer, genetics)

    Friedberg gives an accessible primer on DNA→mRNA→protein translation and how mRNA can be used to create or block proteins therapeutically. He argues COVID accelerated validation and adoption, potentially unlocking a decade of breakthroughs across oncology and genetic diseases.

    • Core biology refresher: DNA code, mRNA snippets, ribosomes as protein printers
    • Therapeutic idea: deliver RNA to cells to produce helpful proteins or suppress harmful ones
    • Why this could be transformative for cancer and genetic diseases
    • COVID as accelerant: validation, regulatory momentum, consumer acceptance
    • Counterpoint/history: how past trial failures (gene therapy) slowed progress—this may be the reverse
  12. 1:15:29 – 1:28:26

    San Francisco crackdown rhetoric: London Breed, policing, and progressive backlash

    The episode closes with London Breed’s tough-on-crime speech and a debate about whether she can credibly ‘turn the city around.’ They argue SF governance constraints, criticize DA Chesa Boudin’s approach, discuss recalls, and forecast a broader political shift away from ‘luxury beliefs.’

    • Breed’s speech: ‘more aggressive’ enforcement and less tolerance for disorder
    • Sacks argues under-policing and DA policies demoralize law enforcement
    • Recall politics: school board first, then Chesa Boudin as the pivotal fight
    • Friedberg: leaders who created the mess may not be the ones to fix it
    • ‘Luxury beliefs’ framework and prediction of a national correction toward pragmatism

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