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  1. stratechery.com

    Jan 13, 2025The promise of AI generally, and inference-time scaling models in particular, is that they can be ammunition; in this context, the costs — even marginal ones — will in the long run be immaterial compared to the costs of people, particularly once you factor in non-salary costs like coordination and motivation. The Uneven AI Arrival
  2. anders.thoresson.se

    AI's Uneven Arrival. 2025/01/16 | ai. If something similar plays out with AI agents, then the most important AI customers will primarily be new companies, and probably a lot of them will be long tail type entities that take the barrel and ammunition analogy to its logical extreme. Traditional companies, meanwhile, will struggle to incorporate ...
  3. english.elpais.com

    Jun 25, 2024"It's a big change. These are disruptive moments," says Sundar Pichai, CEO of Google in a recent podcast.He is referring to the arrival of artificial intelligence to search engines. For a few weeks now, Google has been testing AI Overviews in the U.S. for some searches: these are AI-generated paragraphs that try to respond to a user's search inquiry.
  4. In a wide-ranging discussion, Ben Thompson and Andrew Sharp analyze AI's potential economic disruption, the nuanced national security implications of the TikTok ban, and the unique dynamics of US-China technological and cultural interactions.
  5. poddtoppen.se

    Looking to digital advertising history for clues about AI's impact on the economy, proposed frameworks for AGI and ASI, and why AI benefits are likely to be unevenly distributed in the near term. Then: The logic and continued uncertainty surrounding a TikTok ban in the United States, the delights of Xiaohongshu mania, and a word about TikTok and conflicting principles. To email the show ...
  6. nodebe4.github.io

    Jan 13, 2025AI's Uneven Arrival —— Box's route to its IPO, ten years ago this month, was a difficult one: the company first released an S-1 in March 2014, and potential investors were aghast at the company's mounting losses; the company took a down round and, eight months later, released an updated S-1 that created the template for money-losing SaaS businesses to explain themselves going forward:
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