Author: safety

  • 22 rules of generative AI

    22 rules of generative AI

    Thinking about adopting, incorporating or building generative AI products? Here are some things to think about, depending on your role or roles. I assume you’re bringing your own product idea(s) based on an understanding of an opportunity or problems for customers. These rules therefore focus on the solution space. Solutions with generative AI typically involve…

  • Reasoning About Machine Creativity

    Reasoning About Machine Creativity

    With the current interest in generative AI, I wanted to write a short post updating the framing I took in my older talk Reasoning About Machine Intuition (2017), which was intended for broad audiences to understand the impact and best application of AI solutions from multiple digital delivery perspectives. Bicycles and automobiles share some features…

  • Summertime, and the puzzling is made easier

    Summertime, and the puzzling is made easier

    In between beach trips and bike rides, I whiled away more than a few summer hours on puzzles I found in the various AirBNBs we rented. Returning home, I rediscovered a sliding tile puzzle with a twist called Asteroid Escape, where embedded asteroids prevent certain tiles sliding past each other in certain configurations. With 60…

  • Nerfing along

    Nerfing along

    NeRFs provide many benefits for 3D content: the rendering looks natural while the implementation is flexible. So I wanted to get hands on, and build myself a NeRF. I wanted to understand what’s possible to reproduce in 3D from just a spontaneous video capture. I chose a handheld holiday video from an old iPhone X…

  • Throwback Thursday

    Throwback Thursday

    The metaverse is a topic currently, though the concept has a long history. Twenty years ago, in the dotcom era, I was exploring this space, as I was recently reminded. Feeling nostalgic, I dug these projects out of the NAS archives. Tech has moved on, but there’s enduring relevance in what I learned. VO2max (1999)…

  • Synthesising Semantle Solvers

    Synthesising Semantle Solvers

    Picking up threads from previous posts on solving Semantle word puzzles with machine learning, we’re ready to explore how different solvers might play along with people while playing the game online. Maybe you’d like to play speed Semantle against an artificially intelligent opponent, maybe you’d like a left-of-field hint on a tricky puzzle, or maybe…

  • Second Semantle Solver

    Second Semantle Solver

    In the post Sketching Semantle Solvers, I introduced two methods for solving Semantle word puzzles, but I only wrote up one. The second solver here is based the idea that the target word should appear in the intersection between the cohorts of possible targets generated by each guess. To recap, the first post: Solution source…

  • Data Mesh Radio

    Data Mesh Radio

    I joined Scott Hirleman for an episode (#95) of the Data Mesh Radio podcast. Scott does great work connecting and educating the data mesh community, and we had fun talking about: Fitness functions to define “what good looks like” for data mesh and guide the evolution of analytic data architecture and operating model Team topologies…

  • Creative AI

    Creative AI

    I recently talked with Leon Gettler on an episode of the Talking Business podcast about Creative AI – paring people with AI to augment product and strategy development. This connects with some themes I’ve blogged about here before, such as No Smooth Path to Good Design and Leave Product Development to the Dummies. Also, Sketching…

  • Sketching Semantle Solvers

    Sketching Semantle Solvers

    Semantle is an online puzzle game in which you make a series of guesses to discover a secret word. Each guess is scored by how “near” it is to the secret target, providing guidance for subsequent guesses, but that’s all the help you get. Fewer guesses is a better result, but hard to achieve, as…