We seem to forget that the purpose of Large Language Models is to predict the most likely next word, phrase, or sentence. Effectively, that means using the tool to generate content that will, by its design, move you towards the mean. Remember that the tool is an average engine and you’re better placed to understand… Read More Average engine
Another in the occasional series where I let off some steam and poke fun at the workplace. As always, this post is just for fun and a bit of teasing, so don’t take it personally! This time, it’s the omnipresent professional headshot. To the men reading: the black-tie photo is not your professional headshot.You wore… Read More What grinds my gears…headshots
Most dashboards are data pretending to be information. The two aren’t the same thing, and the gap between them is where most workforce reporting quietly fails. Data is what you gather. Attendance figures, completion rates, sickness absence, incident logs, and survey scores. It’s raw and just sits in a spreadsheet or system, doing nothing on… Read More Data or information?
I saw an interesting post on LinkedIn the other day – I know right? I was preparing to respond and saw that two comments had been posted – one was labelled ‘comment 1’ and the other ‘comment 2’. They were posted by the original post author and were posted AT THE SAME TIME. If you’re… Read More When posts go wrong
I saw a post in a professional group last week dismissing reports of HR burnout as “a load of baloney”. The argument was that HR professionals are resilient people. They have dealt with difficult industrial relations environments before. They are managers. They should be able to handle the workload. That is not scepticism. It is… Read More Resilient people burn out too