CNET65%

Hank Green Is Creating 'an AI Policy for Himself.' He Thinks Other Creators Should, Too 53%

By Jason Chun63%

8/7/2026, 2:46:18 PM

BS Summary: This article contains 25 faulty reasoning types, including Appeal to Emotion, Halo Effect, and Quote-first Misdirection, with Negativity Bias as the most egregious example at 11.3% saturation with 74 hits. Analysis detected 691 faulty-reasoning hits from 657 analyzed words, generating a BS Score of 43.7% and a BS Rank of 53% (14,620 of 30,584 articles). This article is worse (more manipulative) than 52.20% of the article peer group.

In a video uploaded Friday, prolific internet creator Hank Green said he had taken time to reconsider his use of AI, acknowledging that he had become “too reliant on [LLMs] for advice, for editing and for sourcing.” 
He pledged to create an “AI policy for himself,” and encouraged other creators to take a similar approach. 
These remarks follow viewers’ claims that one of Green’s videos contained an AI-generated script. 
Last week, the YouTuber said he had used AI “to locate papers and other resources for learning about topics” and apologized for not being transparent. 
He said he would “readjust” and scale back his projects. 
In other words, make fewer things. 
This is a big deal, because Hank Green is widely known for making things. 
He's built the popular app Focus Friend, co-created the educational YouTube channel Crash Course, invented 2D glasses and written two New York Times bestselling novels. 
Green has done more in the last 20 years than most people could in 200. 
I’ve watched his YouTube videos almost every week since 2012. 
Green publishes to his Vlogbrothers channel every Friday, even when he’s on vacation. 
(In June, he posted a video titled “No Video Today!!” 
that was, in fact, a video.) 
Nothing, not even cancer, seems able to stop him  within months of announcing he was in remission, he performed a comedy special about his experience with Hodgkin's lymphoma. 
But now, because of generative AI, Green is pumping the brakes. 
Instead of uploading a video last Friday, he wrote a lengthy Reddit post, stating, “the level of dopamine I've been getting from interacting with LLMs ... with doing more and more and more and more ... is not healthy for me or good for the world. 
It is careless and has disconnected me from where people are on this.” 
In a now-deleted tweet, Green commented on the video that sparked the controversy, “I produced this under a ton of pressure  I did use ChatGPT for research on this script and watching it I definitely get an AI feel.” 
I don’t think Green used generative AI with the intention of deceiving his audience. 
I think he used it because it was a tool to help him keep up with the pace of his own ideas and ambitions. 
And I don’t think he’s the only one guilty of doing this. 
AI-generated content is everywhere. 
It provides instant results that can feel magical. 
Under the pressure of deadlines, it might make sense to resort to using AI, especially if it seems like everyone else is doing it. 
I imagine Green was caught up in too many projects (Here’s a list of most of them, provided by his brother and frequent collaborator, John) and saw the potential of AI to help him be more productive. 
There are some cases when AI can be genuinely helpful. 
However, I’m wary of claims that AI will increase our output and save us time, without costing us something else. 
What we generate with AI tends to lack intention. 
It’s true that users of ChatGPT or Claude will make choices in the process of creating a prompt, and those prompts can be continually refined. 
But the resulting AI-generated images or writing ultimately comes from a machine. 
And when we outsource our thinking to machines, we lose what makes our thoughts unique in the first place. 
I’m interested in what Hank Green personally has to say  not what his LLMs generate. 
Even if he “did not use AI to write or fact-check”, there’s something about his video’s proximity to ChatGPT that rubs me the wrong way. 
I applaud him for stopping to reflect on the situation. 
With AI promising us more productivity and more content and more everything, it often feels counterintuitive to slow down. 
Sometimes, it takes more effort to do less  and do better. 
Article reasoning-pattern comparisonThis article: 2.1%Jason Chun: 0.5%CNET: 1.9%Confirmation Bias2.1%This article: 5.6%Jason Chun: 1.4%CNET: 1.7%Anchoring Bias5.6%This article: 0.6%Jason Chun: 0.5%CNET: 2.4%Availability Heuristic0.6%This article: 0.0%Jason Chun: 0.0%CNET: 0.8%Representativeness Heuristic0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.2%Hindsight Bias0.0%This article: 2.3%Jason Chun: 1.1%CNET: 2.0%Overconfidence Bias2.3%This article: 4.6%Jason Chun: 1.9%CNET: 3.7%Framing Effect4.6%This article: 0.0%Jason Chun: 0.0%CNET: 1.1%Loss Aversion0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.5%Status Quo Bias0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Sunk Cost Effect0.0%This article: 3.7%Jason Chun: 0.9%CNET: 3.3%Optimism Bias3.7%This article: 4.9%Jason Chun: 2.7%CNET: 1.2%Pessimism Bias4.9%This article: 11.3%Jason Chun: 2.8%CNET: 3.6%Negativity Bias11.3%This article: 0.0%Jason Chun: 0.0%CNET: 1.4%Self-Serving Bias0.0%This article: 3.7%Jason Chun: 3.8%CNET: 0.2%Fundamental Attribution Error3.7%This article: 3.8%Jason Chun: 1.0%CNET: 0.1%Actor-Observer Bias3.8%This article: 0.0%Jason Chun: 0.0%CNET: 0.3%In-Group Bias0.0%This article: 1.8%Jason Chun: 0.5%CNET: 0.1%Out-Group Homogeneity Bias1.8%This article: 7.5%Jason Chun: 7.1%CNET: 3.6%Halo Effect7.5%This article: 0.0%Jason Chun: 1.0%CNET: 0.1%Horn Effect0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jason Chun: 0.0%CNET: 1.1%Recency Bias0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.3%Primacy Effect0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Ad Hominem0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Straw Man0.0%This article: 0.0%Jason Chun: 0.0%CNET: 3.4%Appeal to Authority0.0%This article: 6.7%Jason Chun: 1.7%CNET: 1.1%False Dilemma6.7%This article: 0.0%Jason Chun: 0.7%CNET: 0.4%Slippery Slope0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Circular Reasoning0.0%This article: 2.4%Jason Chun: 3.5%CNET: 4.2%Hasty Generalization2.4%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Red Herring0.0%This article: 2.9%Jason Chun: 2.5%CNET: 0.5%Bandwagon2.9%This article: 8.8%Jason Chun: 2.9%CNET: 1.9%Appeal to Emotion8.8%This article: 2.1%Jason Chun: 0.5%CNET: 0.4%Begging the Question2.1%This article: 1.7%Jason Chun: 0.4%CNET: 1.4%Post Hoc (False Cause)1.7%This article: 6.1%Jason Chun: 1.5%CNET: 0.0%Tu Quoque6.1%This article: 0.0%Jason Chun: 0.0%CNET: 0.3%Burden of Proof0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.2%Appeal to Nature0.0%This article: 2.9%Jason Chun: 0.7%CNET: 0.2%Composition/Division2.9%This article: 3.7%Jason Chun: 1.3%CNET: 4.5%Anecdotal3.7%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%No True Scotsman0.0%This article: 1.4%Jason Chun: 0.3%CNET: 2.5%Ambiguity (Equivocation)1.4%This article: 0.0%Jason Chun: 0.0%CNET: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Middle Ground0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.0%Personal Incredulity0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Special Pleading0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.1%Genetic Fallacy0.0%This article: 5.3%Jason Chun: 1.3%CNET: 0.8%Unattributed Quote5.3%This article: 7.0%Jason Chun: 1.8%CNET: 0.2%Quote-first Misdirection7.0%This article: 2.4%Jason Chun: 8.8%CNET: 5.3%Biased Writer Voice2.4%This article: 0.0%Jason Chun: 1.1%CNET: 1.9%Indoctrination0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Jason Chun: 0.0%CNET: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Jason Chun: 0.0%CNET: 10.2%Attempt to Sell a Product or S…0.0%

657 words analyzed.

Speakers

1speaker29%attributed speech468writer words
Selected voice

Hank Green

66%flagged-word coverage
189 attributed words100% of attributed speech81% writer coverage
0%12.5%25.0%Quote-first Misdirection+24.3 ptsWriter: 0.0%Hank Green: 24.3%24.3%Unattributed Quote+11.1 ptsWriter: 2.1%Hank Green: 13.2%13.2%Biased Writer Voice-3.4 ptsWriter: 3.4%Hank Green: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.