Treating people like people

I’ve listened to John Helmer’s conversation with Erica Farmer on The Learning Hack and am lucky to say I know them both, so declare an interest, but it’s a VERY good episode. Erica makes a point that we’re rolling out AI much as we’ve rolled out HR systems before it: project plan, town hall, launch… Read More Treating people like people

The em dash

I’ve written before about em dashes and how I would add them to my writing. I use Quillbot to spell-check, paraphrase documents, an AI detector, live translator, grammar checker and a range of other activities. It loves em dashes – it reminds me when I use hyphens and adds em dashes instead. It did it… Read More The em dash

Ghosts of the Machine

I was talking AI with someone and they pointed out: The manager uses AI to co-write the Person Spec and Job Description. The recruiter uses AI to write the advert. The candidate uses AI for the CV, Personal Statement and the application. The ATS uses AI to look for keywords and score the application. When… Read More Ghosts of the Machine

… Read More Ghosts of the Machine

Need to speak to Andrew

Engagement? Down. Post views? Down. Connections? Superficial and dissonant. So let’s get an LLM to write a post for me*, make it look like it’s MY expertise and launch it into the sewer of LI, hoping someone will read it, nod sagely, and think, ‘I really need to speak to Andrew.’ I’m reading SO MUCH… Read More Need to speak to Andrew

Evidence first

Over the last few weeks i’ve been reading. I’ve been reading loads, some good and some poor. A hint to people if you’re going to write a book about AI: If you’re referencing historical estimates of development time for eLearning, estimates of unused or unapplied learning, or forecasts about AI token consumption, cite your sources.… Read More Evidence first