technology

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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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“You can’t connect the dots looking forward; you can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future. You have to trust in something — your gut, destiny, life, karma, whatever.”

— Steve Jobs

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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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Steve Jobs on Copycats

Steve Jobs had a famously strong stance against copycats, especially when it came to Apple’s products. Here’s how he dealt with them, both publicly and behind the scenes:

1. Public Condemnation

Steve Jobs didn’t hold back when criticizing companies he felt copied Apple.

  • Android: He was particularly angry with Google. In a 2011 biography by Walter Isaacson, Jobs is quoted saying: “I’m going to destroy Android, because it’s a stolen product. I’m willing to go thermonuclear war on this.”
  • Samsung: Jobs and Apple executives were very vocal about Samsung copying the iPhone and iPad designs. This led to high-profile lawsuits.

2. Legal Action

Apple, under Jobs, aggressively used intellectual property (IP) laws to protect its designs and innovations.

  • Lawsuits: Apple sued Samsung, HTC, and other manufacturers for patent infringement. The case against Samsung became one of the biggest tech lawsuits of the 2010s and led to years of courtroom battles.
  • Design and Utility Patents: Apple patented everything from the iPhone’s rounded corners to multitouch gestures. Jobs believed deeply in the value of protecting design as much as function.

3. Doubling Down on Innovation

Rather than just reacting, Jobs pushed Apple to stay ahead:

  • He believed design, integration, and user experience could not be easily copied.
  • Apple consistently released refined and breakthrough products, making competitors look outdated.

4. Controlling the Ecosystem

Jobs understood that software and hardware integration was a competitive advantage.

  • Apple kept iOS closed and tightly integrated with its devices.
  • This “walled garden” approach made it harder for competitors to replicate the full experience.

5. Internal Philosophy

Jobs believed in being first and best, not just different.
He once said:

“Good artists copy; great artists steal,” quoting Picasso — but he meant it more as “absorb and innovate,” not imitate.

Summary

Steve Jobs responded to copycats through:

  • Public shaming
  • Aggressive litigation
  • Relentless innovation
  • Strategic control of Apple’s ecosystem

He was fiercely protective of Apple’s originality, and made it clear that copying Apple wasn’t just unfair — it was a personal offense.

By ChatGPT

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Silicon Valley | Ten Years Later: The Extended Pied Piper Documentary | HBO

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“I don’t want to live in a world where someone else makes the world a better place better than we do.”

— Richard Hendricks/ Silicon Valley

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Silicon Valley – Season 1: Trailer

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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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Unexplained drones, UFOs and the state of the Navy | 60 Minutes Full Episodes

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“2024 has been a game-changer in fraud prevention. FaaS has taken cybercrime to a new level, enabling coordinated mega attacks that now average over 8,000 incidents each. “By embracing smarter fraud prevention strategies and layered defences, businesses can get ahead of these threats and build stronger trust with their users,” says Dan Yerushalmi, CEO of AU10TIX.

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“Gates announced on Thursday that he now plans to distribute “virtually all” of his wealth — around $200 billion, he estimates — within the next 20 years, before shuttering the foundation on December 31, 2045.”

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Math teachers protest against calculator use 1966.

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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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