Notes · AI explained without the jargon
goppo — Notes
I write here the way I've been making sense of AI. Coming from neither programming nor data, I share how I've been demystifying this whole new world.
— JM ↗
6 results
To get more personalised answers, we give AI context about who we are, how we work and what we want. We can organise that information in Markdown, with a general profile and instructions specific to each project.
Speaking to AI can sometimes lead to better answers, not because voice is inherently better, but because we tend to give more context without filtering it so much.
Fear of superintelligent AI may be legitimate, but it is also useful to those who need to fund an increasingly expensive race. The immediate risk may lie less in the models than in the economy built around them.
Former AI engineers privately admit they fear an existential risk — yet billions of dollars and US economic growth depend on roughly ten companies racing to reach AGI first.
Buying AI tools creates access, but it does not change how work gets done on its own. Value appears when teams identify concrete problems, redesign processes and prepare people to use AI with judgement.
I'm clearly in favour of identifying AI content. But there's a bigger reason.
