This article is filled with emotional triggers designed to drive engagement. Even the title. It can be hard to separate those things from objective facts.

Putting an llm in front of it helps me focus on the facts.

There are also too many things to read. My default before llms would have been to ignore this article.

At least now I learned some things (mostly about the Gallup poll which had source data)

I do think some people will outsource critical thinking to llms - but it also helps amplify critical thinking by doing a lot of the filtering and organizing and let me focus on the things i think are important.

I actually did this - I plugged The Verge article into Claude and got the following critique of what biases are there:

> The article accurately cites real Gallup data but selectively omits findings that complicate its "backlash" narrative — most notably that curiosity is Gen Z's single most common emotion toward AI, and that daily users remain substantially more hopeful and excited than the aggregate figures suggest. The 79% "laziness" concern and declining hope figures are presented as evidence of generational rejection, when the researchers themselves describe what they found as "deep ambivalence." *In short, the article uses real numbers to tell a cleaner, more oppositional story than the underlying polling actually supports.*

Then I then put that Claude critique back into Claude and asked it to analyze the critique for bias and agendas and got this:

> The critique accurately catches real flaws in The Verge article — particularly the omission of "curiosity" as Gen Z's top emotion and the failure to distinguish between heavy users (who are more positive) and non-users (who drive most of the negativity). However, *the critique has its own directional bias, consistently framing every correction in ways that soften the negative trend, while ignoring data that cuts the other way — like the sharp positivity decline even among daily users, and the near-majority of Gen Z workers who see AI as a net negative in the workplace. *Both pieces are selectively using the same real data to tell opposite stories; the Gallup findings themselves are more nuanced and more negative than the critique allows.*

So according to Claude, Claude is biased in how it describes The Verge as biased.

LLMs are breakthrough technologies. The AI products we have today are SaaS products built by companies doing everything they can to find people who will pay for them. Very, very different things.