Technonovelty

I am, however I look at it, getting quite old. I'm old enough to remember the 1970s and the Christmas present I received, a CBM Electronic Calculator. I was amazed by how I could enter numbers and symbols, and the machine would return correct calculations. I'm old enough to remember the first experience at home … Continue reading Technonovelty

A benchmark for AI

Eight or so years ago, I was doing some work for a UK law firm. At the time, across the legal industry, there was considerable interest in AI, primarily machine learning, to automate high-volume work such as commercial conveyancing for mortgage lenders. Ultimately, the aim was to reduce costs. I remember a conversation with one … Continue reading A benchmark for AI

The Messy Truth About “Thinking” Machines

In last week’s WB-40, guest Rufus Evison drew an interesting analogy between how LLMs work and Daniel Kahneman’s Fast and Slow thinking model. Rufus described how LLM responses are “fast”, almost instinctive based on past experiences and pattern matching, and the problem with them is that they need to be more “slow”, deliberative and logical. … Continue reading The Messy Truth About “Thinking” Machines

Simulating interactions

For many years I've held true to a concept that goes as follows: You can exponentially scale transactions. You can change interactions into transactions and then exponentially scale those transactions, but you lose social and cultural meaning along the way. You cannot exponentially scale interactions. They only scale in a linear fashion. My go-to metaphor … Continue reading Simulating interactions