Civic duty

Over the past two weeks, I’ve been doing a civic duty as a juror at the local Crown Court. Before starting last week, I’d become a bit concerned that I would be spending quite a bit of time looking at how society goes wrong. I studied enough Criminology at university to know that poverty, drug … Continue reading Civic duty

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

Regression to form

I've observed something over the years that I've started calling "regression to form". It's the depressing inevitability that if you give people something that looks even vaguely like a form, they will treat it as a form. As a result, the objective shifts from thinking to form-filling. From conversation to completion. From understanding to box-ticking.Take … Continue reading Regression to form

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

The problem with problems

I've been thinking lately about how we're rather good at solving problems, but surprisingly bad at identifying what the problems actually are. Take the double diamond process that every design consultant worth their salt will draw on a whiteboard: diverge to explore numerous solutions, converge to select the best one, diverge again to prototype, and … Continue reading The problem with problems