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Articole: 10
  1. Second order effects

    It’s very difficult to predict how AI is going to evolve in the future; it’s even more difficult to get a grasp of what the second order effects of its evolution might be.

  2. Here’s one fun challenge to kick off 2026: list out the assumptions that you have about AI.

  3. Realistic AI demos

    If you watch Ibrahim’s demo of the Gradient Labs voice agent carefully, you might spot a bunch of incredibly nuanced things that don’t typically feature in demos.

  4. Intuition in AI

    Reading posts about the scientific method applied to developing AI agents - I’ve got to stand on my soap box for a second & share what I’ve been telling folks for years: The only way to develop a deep intuition about an AI system is to read the data.

  5. A lot of customer support automation is framed as “AI takes the easy & repetitive parts, and opens up time for human agents to do the rest.”

  6. After over a year hiatus of public speaking, I gave a couple of talks about our work at Gradient Labs at the end of last year & they are now online!

  7. In AI, on AI

    With the festive break almost here, some of you might be thinking about making a change in the new year!

  8. Blogging elsewhere

    In the summer of 2023, I left Monzo alongside two others to start Gradient Labs.

  9. At the tail end of a sabbatical last year, I participated in the AI Audit Challenge that was run by Stanford’s Institute for Human-Centered Artificial Intelligence.

  10. Regardless what you think about chatGPT, its release last year heralded yet another hype wave for artificial intelligence.