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Dalton + MichaelDalton + Michael

2025 Year In Review

In this end-of-year episode, Dalton and Michael discuss some of the biggest topics that came up for them in 2025 including: depopulation, San Francisco, AGI, self-driving cars, talk of AI bubbles, abundance and more. Dalton + Michael is brought to you by ‪@Standard_Cap Dalton Caldwell on X: https://x.com/daltonc Michael Seibel on X: https://x.com/mwseibel

Michael SeibelhostDalton Caldwellhost
Dec 27, 202526mWatch on YouTube ↗

CHAPTERS

  1. Setting the tone: 2025 hot takes (and not getting “SNL-canceled”)

    Michael and Dalton frame the episode as a rapid-fire “2025 in review” built around strong opinions rather than a conventional recap. They reference the Colin Jost/Michael Che SNL bit about risky jokes—then explicitly steer away from that format.

  2. San Francisco reality check: ignore Twitter narratives

    They argue that most viral takes about San Francisco—positive or negative—are low-signal and often simply wrong. The core claim is that social media memes obscure nuanced, on-the-ground reality.

  3. How much agency do politicians really have? (SF through macro shocks)

    Michael contends people over-attribute outcomes to local leaders, when big macro forces dominated SF’s trajectory. He points to COVID, empty downtown offices, and defund-the-police dynamics as structural drivers that would challenge any administration.

  4. Depopulation fears: from “Population Bomb” to a fertility crunch

    Dalton recounts discovering discarded materials from a Stanford institute focused on population control, reflecting how overpopulation anxiety shaped elite thinking and policy. They contrast that era with today’s concern that fertility decline is the real threat, with Japan and others as warning signs.

  5. Why ideas matter: environmental narratives and ineffective pronatalist policy

    They discuss how powerful ideas can persist even after conditions change—some people still avoid having children due to environmental concerns. Government “solutions” like tax credits are portrayed as largely ineffective or timing-shifting rather than increasing total births.

  6. AGI in 2025: faster model improvement, but skepticism on timelines

    Dalton says model quality improved faster than he expected, especially with multiple recent releases, but he’s unsure it changes AGI timelines depending on definition. Michael remains skeptical, warning that AGI as a viral concept can distort founders’ planning and decision-making.

  7. Self-driving as the AGI analogy: “right direction, wrong timeframe”

    They compare AGI hype to earlier self-driving optimism: many expected a solved problem by 2017–2018, but meaningful progress is only now appearing in 2025 (in limited geographies). The key distinction is whether the system is truly autonomous or still relies on humans-in-the-loop (teleoperators).

  8. Space in 2025: cheap launch is arriving—and might still be “expensive” in hindsight

    They argue SpaceX’s success is driving an exponential drop in launch cost, unlocking new startup possibilities akin to an “iPhone moment” for space. Yet they suspect the real inflection may be ahead (e.g., Starship), meaning today’s “cheap launch” could later look pricey.

  9. The SpaceX bottleneck: competing with Starlink for launch priority

    Dalton notes portfolio companies have been bumped from scheduled launches, sometimes by SpaceX’s own Starlink missions. This highlights a structural risk: when one provider dominates launch, customers may face prioritization conflicts they can’t negotiate away.

  10. Remote vs in-person after COVID: startups shouldn’t mimic big-company “remote”

    They agree in-person is better for startups, while acknowledging that Zoom and real-time chat norms improved. Michael argues large companies are effectively remote regardless due to organizational scale; the real debate was always about startups choosing to operate like big companies.

  11. Are we in an AI bubble? Value creation vs debt-fueled overbuild

    Michael says “no” on a bubble in the sense of a hoax, citing early adoption and real productivity gains even if progress halted today. Dalton adds nuance: the risky zone is debt issuance funding data centers/GPUs—analogous to fiber overbuild in the dot-com era where builders lost money even as society benefited.

  12. Abundance vs affordability: the political message that wins vs the governance that works

    They explore a Democratic Party messaging dilemma: sell “abundance” (make government deliver more) or “affordability” (make life cheaper). Dalton argues technology has created clear abundance, but housing and key costs remain unaffordable; Michael worries affordability is the better campaign message while abundance is better long-term governance.

  13. Looking to 2026: dueling populisms and cautious optimism (plus an AGI outro joke)

    Michael predicts populist messaging will dominate: Democrats blaming “bad actors” for high prices and Republicans blaming immigrants for decline—both simplifying reality. They close by joking that AGI will produce the show next year, and that politeness to models might pay off.

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