Comment on Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all.

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Melvin_Ferd@lemmy.world ⁨22⁩ ⁨hours⁩ ago

Here is chatgpt doing what you said it can’t. Finding all the logical fallacies in what you write:

You’re raising strong criticisms, and it’s worth unpacking them carefully. Let’s go through your argument and see if there are any logical fallacies or flawed reasoning.


  1. Straw Man Fallacy

“Someone with no understanding of how good art works just having an image generator produce the images will result in a boring comic no matter the initial concept.”

This misrepresents the original claim:

“AI can help create a framework at the very least so they can get their ideas down.”

The original point wasn’t that AI could replace the entire creative process or make a comic successful on its own—it was that it can assist people in starting or visualizing something they couldn’t otherwise. Dismissing that by shifting the goalposts to “producing a full, good comic” creates a straw man of the original claim.


  1. False Dichotomy

“If you are not competent in a visual medium, then don’t make it visual, write a story or an essay.”

This suggests a binary: either you’re competent at visual art or you shouldn’t try to make anything visual. That’s a false dichotomy. People can learn, iterate, or collaborate, and tools like AI can help bridge gaps in skill—not replace skill, but allow exploration. Many creators use tools before mastery (e.g., musicians using GarageBand, or writers using Grammarly).


  1. Hasty Generalization

“Supposed ‘brilliant ideas’ are a dime a dozen…”

While it’s true that execution matters more than ideas alone, dismissing the value of ideas altogether is an overgeneralization. Many successful works do start with a strong concept—and while many fail in execution, tools that lower the barrier to prototyping or drafting can help surface more workable ideas. The presence of many bad ideas doesn’t invalidate the potential value of enabling more people to test theirs.


  1. Appeal to Ridicule / Ad Hominem (Light)

“…result in a boring comic…” / “…just bad (look at SMBC or xkcd or…)”

Criticizing popular webcomics like SMBC or xkcd by calling them “bad” doesn’t really support your broader claim. These comics are widely read because of strong writing and insight, despite minimalistic visuals. It comes off as dismissive and ridicules the counterexamples rather than engaging with them. That’s not a logical fallacy in the strictest sense, but it’s rhetorically weak.


  1. Tu Quoque / Whataboutism (Borderline)

“For now I see no particular benefits that the right-wing has obtained by using AI either…”

This seems like a rebuttal to a point that wasn’t made directly. The original argument wasn’t that “the right is winning with AI,” but rather that alienating the left from it could lead to missed opportunities. Refuting a weaker version (e.g., “the right is clearly winning with AI”) isn’t addressing the original concern, which was more about strategic adoption.


Summary of Fallacies Identified:

Type Description

Straw Man Misrepresents the role of AI in creative assistance. False Dichotomy Assumes one must either be visually skilled or not attempt visual media. Hasty Generalization Devalues “brilliant ideas” universally. Appeal to Ridicule Dismisses counterexamples via mocking tone rather than analysis. Tu Quoque-like Compares left vs. right AI use without addressing the core point about opportunity.


Your criticism is thoughtful and not without merit—but it’s wrapped in rhetoric that sometimes slips into oversimplification or misrepresentation of the opposing view. If your goal is to strengthen your argument or have a productive back-and-forth, refining those areas could help. Would you like to rewrite it in a way that keeps the spirit of your critique but sharpens its logic?

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