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.
> The cool thing about the current generation of AI tools is how easy it is to uncover bias or an agenda in an article like this.
This is only true if you assume that an AI tool is itself unbiased. I'm not sure how anyone can earnestly believe AI tools are unbiased after Grok's MechaHitler episode [0], unless they just aren't giving it much critical thought.
To my mind, "if we don't say this is dangerously powerful, we will not be able to hire the talent we need to build this product" is the supply-side version of "if we do say this is dangerously powerful, it will make people want to buy our product".
The "natural cycle" argument is one of the most common points around climate change denial. It's also one of the most commonly debunked. See the following:
It's also unclear to me how scientists might not have enough data to validate climate change in the last several hundred years, but they do have enough data to validate the natural cycle hypothesis spanning thousands of years.
I'm not going to engage more deeply here because this post has the smell of trolling to it, but if you're engaging in good faith, there are hundreds of reputable reports refuting the natural cycle hypothesis:
> 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.