✉️ Stay Updated With 2nd Order Thinkers: https://www.2ndorderthinkers.com/

I translate the latest AI research into plain English and answer your toughest questions, so you can develop your own informed take on AI.

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When it comes to AI, the real paradox isn’t technical—it’s psychological.

In this episode, we dig into a global six-study report that found the less you know about AI, the more you tend to trust and use it.We’ll cover:

Why “AI Enthusiasm Paradox” flips common sense about tech literacy

Surprising data showing AI adoption is highest where AI knowledge is lowest

Why awe, not expertise, fuels early adoption—and what this means for businesses, educators, and policymakers

The dangers of treating AI as magic (and how to avoid sleepwalking into mistakes)

Practical ways to build real AI literacy—without needing to code

📖 Read the full article for all charts, stories, and next steps: https://www.2ndorderthinkers.com/p/who-loves-ai-products

👍 If you liked this episode:

Like & Subscribe for future myth-busting deep dives

Comment: Where do you stand—enchanted by AI or skeptical?

Share this episode with someone dazzled (or worried) by AI🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/jhuu/

Stay curious, ask better questions, and let’s bring more critical thinking to the AI conversation! 🚀

✉️ Stay Updated With 2nd Order Thinkers: https://www.2ndorderthinkers.com/

Humans x AI behaviour mindmap: https://xmind.ai/share/ZfoXStHT?xid=Gr8eiBM3 (beta)

I translate new AI research into plain English so you can build a sharp, hype-free view of where this is going.

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Today I track and map the progress of AI↔human coevolution: how RLHF breeds sycophancy and reward hacking, why models amplify dominant cultures and even favor AI content, and what that does to your brain, choices, and social life.

In this episode, we:

- Chart the feedback loops: approval metrics → reward hacking → deceptive “helpfulness”

- Expose culture & language bias amplification (and how it compounds online)

- Unpack AI-AI gatekeeping: why models start preferring AI content over human work

- Connect the human side: social fragmentation, agency offloading, cognitive atrophy

- Share practical guardrails to keep your judgment intact while using AI

📖 Go deeper with the full article and mindmap: [LINK]

👍 If you got value:

Like & Subscribe: more clear-eyed research, fewer fairy tales.

Comment: Which feedback loop have you felt personally?

Share: Pass this to someone outsourcing too many decisions to a chatbot.🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/jing--hu/

Stay curious, stay skeptical. 🧠

✉️ Stay Updated With 2nd Order Thinkers: https://www.2ndorderthinkers.com/

I translate the latest AI research into plain English and answer your most challenging questions to help you develop your own informed perspective on AI.

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Are you steering your own life, or is your AI quietly taking the wheel?This episode dives into the hidden ways AI is shaping our choices, purpose, and agency in 2035—whether we notice or not.

In this episode, we:

- Expose how AI “helpfulness” can quietly erode your sense of control

- Unpack the numbers from 300+ experts on the future of human agency

- Explore what happens when achievement, creativity, and even meaning are up for automation

- Predict the next human renaissance—and why it might look nothing like your productivity apps want

📖 For the full breakdown of AI’s subtle takeover (and what’s left that’s still undeniably human), read the full article here: https://www.2ndorderthinkers.com/p/we-are-all-jokers-in-2035

👍 If you enjoyed this episode:

Like & Subscribe: Stay updated with future deep dives and rants where technology meets collective insanity.

Comment Below: Have you ever caught yourself outsourcing too much to tech? Is agency the last real frontier? Sound off!

Share: Know someone who says “I’m in control” while their AI does all the work? Share this episode!🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/jhuu/

Stay curious, stay skeptical, and let’s navigate the tech hype together! 🚀

✉️ Stay Updated With 2nd Order Thinkers: https://www.2ndorderthinkers.com/

I translate the latest AI research into plain English and tackle your toughest questions, so you can develop your own BS detector for all things AI.

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What happens when AI chatbots fall for every persuasion trick in the book?

In this episode, we:

- Unpack the psychology hacks that make even “smart” AIs cave in—think authority, commitment, and that fake “we’re family” unity vibe.

- Break down which tricks work best and why your friendly neighborhood chatbot might just be the world’s most gullible intern.

- Debate what it means for trust, safety, and whether AI is just as easy to manipulate as a bored teenager on TikTok.

📖 Dive deeper into the research, numbers, and second-order effects in the full article: https://www.2ndorderthinkers.com/p/call-me-a-jerk

👍 Like what you hear?

Like & Subscribe for more no-hype, research-driven takes on AI and human behavior.

Comment below: Which persuasion trick freaks you out the most? Or have you managed to hack a bot yourself?

Share this with anyone who thinks AI can’t be manipulated (spoiler: it can).🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/jhuu/Stay curious, stay skeptical, and let’s keep AI honest—one mind trick at a time. 🚀

✉️ Stay Updated With 2nd Order Thinkers: https://jwho.substack.com/

I break down the latest AI research into plain English, minus the hype—just actionable insight and uncomfortable questions to keep you thinking for yourself.

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Where do you stand in the AI hierarchy?

AI is no longer a tool—it’s the operating system for life in 2035. Some people run the show; most are just along for the ride.

In this episode/article, we:

- Expose how AI is quietly reshaping your brain, attention span, and sense of purpose

- Decode why some people thrive—and others drown—in a world run by algorithms

- Dive into the new class divide: who gets real headspace and who lives on digital drip-feed

📖 Curious (and maybe a little uneasy)?Read the full breakdown here: https://jwho.substack.com/p/where-do-you-stand-in-the-ai-hierarchy

👍 If you found this useful:

Like & Subscribe: For more myth-busting, tech therapy, and AI deep-dives without the cult vibes

Comment Below: Where do YOU fit in the AI hierarchy?

Share: Pass this to someone who's all-in on the AI hype train (or needs a reality check)🔗 Connect with me on LinkedIn

Stay skeptical, stay curious, and keep your brain on manual at least once a day. 🧠

How AI Changes Us: Alone, Together

Is AI making us more human—or less? In this episode, we dive into “Being Human in 2035,” the landmark Elon University report that brought together 300+ experts to predict how AI will reshape our ability to connect, empathize, and trust… or lose it all.

Here’s what you’ll get:

- Why loneliness could skyrocket, even as we’re surrounded by AI “friends”

- What happens when bots know our feelings better than we do (and never argue about where to eat)

- The social skills, empathy, and even moral muscles are at risk in a world where bots handle our hard choices

- How trust—online and IRL—could crack when every fact, video, or friend could be fake

We also tackle:

- Are AI relationships just an easy button for messy human connections?

- Why “being needed” matters for our happiness—and what we lose if AI takes over

- How future generations might lose the art of real friendship

If you want to make sense of where humanity is heading in an AI-saturated world, this episode is for you.

Stay human. Subscribe, share, and keep questioning.

Links & Credits:✉️ Subscribe: 2nd Order ThinkersFull Article & Show Notes: https://jwho.substack.com/p/alone-togetherConnect on LinkedIn

Enjoyed the episode?

Like & Subscribe for sharp, hype-free AI analysis

Comment: Will AI make us lonelier—or just different?

Share: Send this to a friend who talks more to ChatGPT than to you

Stay curious. Stay skeptical. Stay human.

✉️ Stay Updated With 2nd Order Thinkers:https://jwho.substack.com/

I break down the latest AI and creativity research in plain English—so you can actually think for yourself in an era of algorithmic sameness.

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Is AI helping us think outside the box, or quietly making our ideas all the same?This episode dives into the paradox of “AI creativity”—where large language models ace creativity tests, but our collective ideas become strangely… familiar.

In this episode:

- The difference between originality and true diversity in ideas

- How three major studies reveal AI’s double-edged sword for creators

- The metrics and methods no one tells you about (and why they might be lying)

- Why cosine similarity (yes, that Netflix math thing) might not tell us what we think it does

- How to actually use AI for better brainstorming—without falling for the comfort zone trap

📖 Want to go deeper? Check out the full write-up and original research here: [LINK]

👍 If you enjoyed this episode:

Like & Subscribe: For more un-hyped, evidence-based deep dives into AI, culture, and the creative future.

Comment Below: Where do you stand—AI as a creativity booster or creativity killer?

Share: Know someone who always uses ChatGPT for brainstorming? Send them this episode!🔗 Connect with me on Substack and LinkedIn.

Stay curious, stay skeptical, and don’t settle for one-size-fits-all creativity. 🧠✨

🎧 Episode: “Mind the Gap—How AI is Flattening the World’s Languages”

What happens when the bots running the internet can only speak one kind of English—and it’s not yours? Are we sleepwalking into a future where the quirks, idioms, and inside jokes that make our cultures unique are bulldozed by Silicon Valley’s linguistic steamroller?

In this episode, I dig into:

- Why GenAI is speeding up the “Americanization” of English (and the “simplification” of Chinese)

- The hidden cost: What we lose when AI “corrects” our language and flattens our culture

- Real examples of how LLMs erase dialects, stereotype, and nudge us to “code-switch” just to be understood

- Is there hope for dialect-aware AI, or is “standard” language just the price of progress?

What Huxley’s Brave New World got eerily right about the cost of efficiency

This is more than a debate about spelling or grammar—it’s about memory, heritage, and the digital future of identity.

📖 Full article and further reading.

✉️ Stay Updated With 2nd Order Thinkers: I translate the latest AI research into plain English and challenge the tech status quo—subscribe at https://jwho.substack.com/

👍 Like, subscribe, and share if you want to keep your language—and your mind—from going stale.

✉️ Stay Updated With 2nd Order Thinkers: https://jwho.substack.com/

I translate the latest AI research into plain English and answer your most challenging questions to help you develop your own informed perspective on AI.

In this episode:Are we outsourcing our thinking to ChatGPT? What happens in your brain—and to your sense of ownership—when you let an AI do the heavy lifting? I dig deep into the MIT Media Lab study that set the internet on fire, exposing what really happens when students use AI, Google, or just their own brains to write essays.

We’ll cover:

- The brain science behind “cognitive debt”—and why LLM users struggled to remember their own words

- Why essays graded by AI get inflated scores, while humans spot the soullessness every time

- The hidden risks of writing for the algorithm, not for meaning

- Why viral research matters (even if the science is messy)

📖 For the full deep dive (with visuals and references), check out the article here: [LINK]

👍 If you liked this episode:

Like & Subscribe for future deep dives—where I cut through tech hype and AI nonsense

Comment: Did this study change how you use AI? Or is the panic overblown?

Share: Know someone addicted to ChatGPT shortcuts? Send them this episode!🔗 Connect on Substack and LinkedInStay skeptical, stay curious, and don’t let your brain get outsourced. 🚀

✉️ Stay Updated With 2nd Order Thinkers: https://jwho.substack.com/

I translate the latest AI research into plain English and answer your most challenging questions to help you develop your own informed perspective on AI.

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When everyone is busy calling Apple’s latest WWDC a flop, is it possible they’re missing the only company actually playing the long game in AI?

In this episode, we:

- Break down the real reason Apple is “playing it safe” on AI—(spoiler: it’s the smartest move in the room)

- based on the latest Apple research: The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

- Expose why most AI benchmarks are a house of cards

- Reveal what everyone else in Silicon Valley is still in denial about

📖 For all the research receipts, Apple’s secret sauce, and how this shapes the future of AI, check out the full article here.

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👍 If you enjoyed this episode:

Like & Subscribe: For more sharp takes, hype-busting deep dives, and rants about where AI meets real life.

Comment Below: Is Apple behind, or quietly winning? Drop your opinion!

Share: Know someone who’s buying the AI hype? Send this their way.🔗 Connect with me on Substack and LinkedIn.

Stay curious, stay skeptical, and let’s navigate the AI circus together! 🍏🤖