Link tags: comprehension

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The Jeopardy Phenomenon – Chris Coyier

AI has the Jeopardy Phenomenon too.

If you use it to generate code that is outside your expertise, you are likely to think it’s all well and good, especially if it seems to work at first pop. But if you’re intimately familiar with the technology or the code around the code it’s generating, there is a good chance you’ll be like hey! that’s not quite right!

Not just code. I’m astounded by the cognitive dissonance displayed by people who say “I asked an LLM about {topic I’m familiar with}, and here’s all the things it got wrong” who then proceed to say “It was really useful when I asked an LLM for advice on {topic I’m not familiar with, hence why I’m asking an LLM for advice}.”

Like, if you know that the results are super dodgy for your own area of expertise, why would you think they’d be any better for, I don’t know, restaurant recommendations in a city you’ve never been to?

cubic blog: The real problem with AI coding

Can you ship AI-generated code without creating a maintenance nightmare six months from now? Can you debug it when it breaks? Can you modify it when requirements change? Can you onboard new engineers to a codebase they didn’t write and the AI barely explained?

Most teams haven’t realized this shift yet. They’re optimizing for code generation speed while comprehension debt silently accumulates in their repos.

One team I talked to spent 3 days fixing what should have been a 2-hour problem. They had “saved” time by having AI generate the initial implementation. But when it broke, they lost 70 hours trying to understand code they had never built themselves.

That’s comprehension debt compounding. The time you save upfront gets charged back with interest later.

AI doesn’t need to think. We do! - craigabbott.co.uk

A good overview of how large language models work:

The words flow together because they’ve been seen together many times. But that doesn’t mean they’re right. It just means they’re coherent.

Creating distraction-free reading experiences — Adrian Zumbrunnen

It’s our job as designers to bring clarity back to the digital canvas by crafting reading experiences that put readers first.

Cognitive Overload - daverupert.com

From Scott McCloud to responsive design, Dave is pondering our assumptions about screen real estate:

As the amount of information increases, removing details reduces information density and thereby increasing comprehension.

It reminds me of Edward Tufte’s data-ink ratio.

Typography for User Interfaces | Viljami Salminen

The history and physiology of text on screen. You can also see the slides from the talk that prompted this article.

Dyslexia

An attempt to convey the experience of (one kind of) dyslexia through code.

The Effects of Line Length on Reading Online News

Suck it up, ya fixed width losers: your favourite escape clause has just been deflated. "Twenty college-age students read news articles displayed in 35, 55, 75, or 95 characters per line (cpl) from a computer monitor. Results showed that passages formatte