Blog posts

My Recommendation: Invest in properly licensed AI tools and original content creation Maintain human oversight and creative direction Develop distinctive brand identities rather than imitating others Communicate transparently about AI use Respect intellectual property rights as a fundamental ethical standard

You can see how AI is indeed superhuman in some areas, but in others it is either far below human level or not overlapping at all. If this is true, then AI will create new opportunities working in complement with human beings, since we both bring different abilities to the table.

The exact abilities of AI are often a mystery, so it is no wonder AI is harder to use than it seems.

A system is only as functional as its worst components. We call these problems bottlenecks. Some bottlenecks are because the AI is stubbornly subhuman at some tasks.

Bottlenecks can create the impression that AI will never be able to do something, when, in reality, progress is held back by a single jagged weakness. When that weakness becomes a reverse salient, and AI labs suddenly fix the problem, the entire system can jump forward.

1. Memory Performances were similar: It did not really matter whether learners got their information from AI or a human, through video or text – they remembered nearly the same amount at recognition and recall levels. 2. Recall performance depended on visual design: This meant tracing back to the video period corresponding to the questions, some particular visual designs were easier to memorise.

When a metaphorical game succeeds, it succeeds because it creates structurally similar cognitive demands—not because it is fun, novel, or symbolic.

In other words, the brain doesn’t care about your metaphor. It cares about what it has to think about during the activity.

From a cognitive architecture viewpoint, activities are not designed to “create engagement,” “break up the session,” or “get people talking.” Those may be side benefits, but they are never the goal. The purpose of an activity is to create conditions where the learner must activate, retrieve, apply, or integrate the target schema.

When aligned to cognitive architecture, interactive activities can beautifully satisfy SDT’s psychological needs: Autonomy: choosing strategies, making decisions Competence: clear and informational feedback, achievable challenge Relatedness: coordinating, negotiating, helping But motivation is a multiplier, not a substitute

The reason is that information asymmetry between what generative image AI can and can’t do has only grown in recent months: many still think that ChatGPT is the only way to generate images and that all AI-generated images are wavy AI slop with a piss yellow filter.

If you’re an artist and using AI in whole or in part to create your art, do you think someone “off the street” is going to employ AI and create something better than you, a seasoned pro? Consider for a moment the smartphone camera. “Anyone can take pictures these days, photography isn’t art”. A photographer with a smartphone could surely do better, right? The differences between an average smartphone user and what a professional photographer can do with a smartphone are potentially as vast and wide as the Grand Canyon.

“The fear has sometimes been expressed that photography would in time entirely supersede the art of painting. Some people seem to think that when the process of taking photographs in colors has been perfected and made common enough, the painter will have nothing more to do.” — Henrietta Clopath, 1901