ai generated

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“The group that wrote essays using ChatGPT all delivered extremely similar essays that lacked original thought, relying on the same expressions and ideas. Two English teachers who assessed the essays called them largely ‘soulless.’ The EEGs revealed low executive control and attentional engagement. And by their third essay, many of the writers simply gave the prompt to ChatGPT and had it do almost all of the work. ‘It was more like, just give me the essay, refine this sentence, edit it, and I’m done,’ Kosmyna says.”

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ChatGPT’s Opinion

Both the Time article and the Gizmodo piece raise valid and important concerns, but they also reflect a broader cultural anxiety about AI — what some might call a “techlash.” Here’s a balanced take on both:

🔍 What they get right:

  1. Critical thinking can erode with passive use
    Both articles underscore a key truth: if you let AI do all the work, your brain gets lazy. This isn’t just speculation — it’s backed by cognitive science. Active learning is crucial for retention, deep thinking, and creativity. These studies highlight real risks, especially for students and developing minds.
  2. The analogy to calculators and Google Maps is helpful
    Just like calculators didn’t kill math (but overusing them for basic operations can harm number sense), AI isn’t inherently harmful — but it can displace the mental effort that’s necessary for learning.
  3. Originality and creativity suffer
    The studies found that ChatGPT-generated essays tended to be “soulless” and formulaic. That’s a real limitation of LLMs — they’re good at mimicking patterns, but not at truly original thought. Relying on them too heavily can flatten thinking.
  4. There’s urgency around education policy
    The MIT researcher’s concern about “GPT kindergarten” is not far-fetched. Schools and policymakers are already integrating AI tools into classrooms. These decisions need to be informed by solid research and precaution, especially when developing brains are involved.

🤔 What needs caution or nuance:

  1. Small sample sizes, pre-review papers
    Especially in the MIT study, 54 participants is very limited. While EEG data is useful, it doesn’t capture the full picture of intelligence or learning. More peer-reviewed, large-scale studies are needed before drawing sweeping conclusions.
  2. “AI makes you stupid” is too broad
    The Gizmodo headline (“AI will make us morons”) is sensational. The reality is more nuanced: AI can dull your mind — but only if you use it passively or uncritically. It’s a tool. It can also enhance your thinking, if used wisely.
  3. Not everyone uses AI the same way
    Some people use ChatGPT as a brainstorming partner, a writing coach, or a way to better understand complex topics — all of which can be mentally engaging. Others use it to skip the thinking part. The outcome depends on the user’s intent and behavior.
  4. Moral panic vs. thoughtful caution
    There’s a fine line between raising the alarm and stoking fear. It’s important to investigate AI’s effects, but not assume that all AI use leads to “cognitive decline.”

🧠 Final thought:

These articles provide a valuable warning: don’t outsource your thinking. AI is powerful, but it’s only as good as the way you use it. If you’re aware of its limitations and make an effort to stay mentally active, AI can be a great tool — not a trap.

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“Data-labeling company Scale AI confirmed on Friday that it has received a “significant” investment from Meta that values the startup at $29 billion. The startup also said its co-founder and CEO Alexandr Wang is stepping down from his role to join Meta and help the bigger company with its AI work.”

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“Going forward, as the rug of new tool after tool is pulled out from under us, and the flow of profound new capabilities continues to pick up speed, it will reach a point where humans have no choice but to surrender. Where our ability to uniquely track, learn and use any given tool better than anyone else will be irrelevant, as new tools with new capabilities will shortly solve for and reproduce the effect of whatever it was you thought you brought to the equation in the first place. That’s in the design plan. It will learn and replace the unique value of your contribution and make that available to everyone else.”

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donotdestroy:

Homophobia refers to prejudice, fear, or dislike toward people who identify as or are perceived to be lesbian, gay, or bisexual. This bias can manifest in negative attitudes, discriminatory behavior, or harmful actions against individuals based on their sexual orientation. It can arise from cultural, social, or personal beliefs and may lead to exclusion, harassment, or violence directed at LGBTQ+ individuals.

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“And here’s where the real opportunity emerged: The work graph—which included two months of activity that was vetted and context-rich—could then be used to train the AI tool. Because it captured everything the team deemed important, it provided the AI tool with real-time, human-validated context, which enabled the tool begin working in a way that aligned with how the team actually worked. With this input, the AI tool was able to produce a significantly more complete first draft, reducing iterations and accelerating the path to a final, usable contract. This approach cut the team’s manual effort in drafting each contract by more than half. While they still reviewed and verified the AI-generated output, they required far fewer iterations and much less rework. As a result, the team’s overall throughput in generating contracts increased by nearly 30%.”

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Ai Content Disclosure Reasons

People are often encouraged—or even required—to state that an article, statement, or artwork was made by AI for reasons of transparency, ethics, and trust. Here are the main reasons:

  1. Transparency and Honesty: It helps readers or viewers understand who—or what—created the content. This prevents misleading audiences into thinking a human wrote or created something when it was generated by a machine.
  2. Accountability: When AI is involved, it’s important to clarify who is responsible for the output. This is especially true in areas like journalism, academic writing, or legal and medical information, where credibility matters.
  3. Informed Interpretation: Knowing that a piece was generated by AI can change how someone interprets it. For example, an AI-written poem may not carry the same emotional or autobiographical weight as one by a human.
  4. Ethical Considerations: Many industries are working to prevent misuse of AI-generated content (e.g., deepfakes, fake news). Disclosing AI authorship helps fight misinformation and supports ethical use of technology.
  5. Attribution and Intellectual Property: Clarifying the role of AI in a work can help with determining authorship rights and how a work can legally be used or sold.

By ChatGPT

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