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- Indexed issues, last 90 days
- 12
- Latest publication
- Sep 19, 2026
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- Earliest in this view
- Jul 29, 2026
Latest issues
The lenses became a theory (opens the original)
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A few weeks ago, I wrote about how the table of contents for my next book had somehow morphed into discovering a theory. I said I wasn’t trying to write chapters. I was trying to build lenses, and that I wanted to make more of that process public rather than disappear and eventually emerge with a finished manuscript.I’ve now finished the first full spine of the book, and something happened that I hadn’t fully anticipated. The lenses became a causal argument.The title is
We Dreamt of Talking to Machines (opens the original)
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“I’m Gen X and I can’t believe this is actually happening in our lifetime.”I came across this comment on Reddit in a discussion about whether we are already living in the AGI era, and it really hit me.<img alt="" class="sizing-normal" he
AI has a capability-realisation problem (opens the original)
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I saw a question on Reddit this morning that made me chuckle: “How did we get a potential AI apocalypse before we ever got a usable customer support chatbot?”It’s funny to me because the apparent contradiction is ridiculous. We are having serious conversations about AI systems becoming extraordinarily powerful while millions of people are still trapped arguing with customer support bots that cannot solve relatively mundane problems.But I think there is something important hiding in the contradic
AI implementation isn't just execution. It's discovery. (opens the original)
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I’ve been digging through some new research from Camunda ahead of a webinar I’m doing with them later this month, and two of the findings have been rattling around my brain.Camunda surveyed 1,000 process decision-makers and 5,000 employees whose day-to-day work involves AI or automation. 78% of the decision-makers said their o
We Know What AI Can Do. We Know Far Less About What Happens When It Does It. (opens the original)
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I spend an inordinate amount of time reading AI research papers at an unreasonable time in the morning, and recently felt frustrated by what they are trying to understand.Most of them are about: reasoning, memory, planning, tool use, coding, agents, benchmarks, model comparisons. Even when research turns towards work, the question often remains centred on the technology: which tasks can AI perform, which occupations are exposed, how much work can be automated, which model performs best?All usefu
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