Category: Machine Learning

  • 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…

  • 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…

  • 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: introduced the…

  • 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…

  • Bridging the linguistic inclusion gap with AI

    Bridging the linguistic inclusion gap with AI

    It was great to be able to reflect with colleagues on common themes running through Thoughtworks’ work in languages and technology. In various scenarios, with different technology approaches, we worked to improve the inclusiveness of solutions, pointing to a more linguistically inclusive future.

  • Project Slackpose

    Project Slackpose

    Another lockdown, another project for body and mind. Slackpose allows me to track my slackline walking and review my technique. Spending 5 minutes on the slackline between meetings is a great way to get away from my desk! I had considered pose estimation for wheelies last year, but decided slackline walking was an easier start,…

  • LEGO and Software – Part Roles

    LEGO and Software – Part Roles

    This is the fifth post in a series exploring LEGO® as a Metaphor for Software Reuse. A key consideration for reuse is the various roles that components can play when combined or re-combined in sets. Below we’ll explore how we can use data about LEGO parts and sets to understand the roles parts play in…