{
  "blyg": "0.3",
  "id": "26h0wtagvqmgjd0165j7s4srcs",
  "kind": "fragment",
  "origin": "https://www.msweet.net/notes/",
  "page": "682-plum-voles",
  "author": {
    "name": "Matthew McDowell-Sweet",
    "url": "https://www.msweet.net/"
  },
  "created": "2026-08-17T15:43:52Z",
  "updated": "2026-08-17T15:43:52Z",
  "version": 1,
  "content_md": "Frontier-ness is a derivative of culture, and that takes time to compound . That’s why these sorts of sovereignty bets have payoffs that exist decades in the future, and not before.\n\nThe issue is not so much the initial intent; it’s the preservation of that intent over time in spite of the many, many alluring things that will spring up, and the change in terrain that is inevitably going to happen.\n\n> The bet underneath it is economic. Pullen argues that an inference company, rather than a training-first lab, doesn't need billions to compete: millions, a national compute allocation, and a consortium feedback loop can be enough. From there it gets into the machinery, why open-weight models still trail the frontier on size, active parameters and data, the mixture-of-experts versus dense trade-off and why active params dominate how a model actually feels, and the edge that real coding trajectories confer.\n\n[Watching America Run Away With AI - Alistair Pullen (Cosine AI) - YouTube ↗](https://youtube.com/watch?is=WkhZSYlesVdyobg7&v=JTHmrELSfvk)",
  "content_html": "<p>Frontier-ness is a derivative of culture, and that takes time to compound . That’s why these sorts of sovereignty bets have payoffs that exist decades in the future, and not before.\n\nThe issue is not so much the initial intent; it’s the preservation of that intent over time in spite of the many, many alluring things that will spring up, and the change in terrain that is inevitably going to happen.</p>\n<blockquote><p>The bet underneath it is economic. Pullen argues that an inference company, rather than a training-first lab, doesn't need billions to compete: millions, a national compute allocation, and a consortium feedback loop can be enough. From there it gets into the machinery, why open-weight models still trail the frontier on size, active parameters and data, the mixture-of-experts versus dense trade-off and why active params dominate how a model actually feels, and the edge that real coding trajectories confer.</p></blockquote>\n<p class=\"source\"><a href=\"https://youtube.com/watch?is=WkhZSYlesVdyobg7&amp;v=JTHmrELSfvk\">Watching America Run Away With AI - Alistair Pullen (Cosine AI) - YouTube ↗</a></p>",
  "content_hash": "sha256:1e1fd2f774725a233418c10d9d18f9b87391cc0dc28b2358e27489f0c6140f55",
  "media": [],
  "changelog": [
    {
      "version": 1,
      "at": "2026-08-17T15:43:52Z",
      "note": null
    }
  ]
}