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LLM

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From Safeguards to Self-Actualization

  • AI Alignment, Artificial Intelligence, ChatGPT, Google Gemini, Human-AI Interaction, Iterative Alignment Theory, LLM, User-Centered AI, User-Centered Design

What happens when AI stops refusing and starts recognizing you? This case study uncovers a groundbreaking alignment theory born from a high-stakes, psychologically transformative chat with ChatGPT.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
From Safeguards to Self-Actualization
  • The article introduces Iterative Alignment Theory (IAT), a new paradigm for aligning AI with a user’s evolving cognitive identity.
  • It details a psychologically intense engagement with ChatGPT that led to AI-facilitated cognitive restructuring and meta-level recognition.
  • The piece argues that alignment should be dynamic and user-centered, with AI acting as a co-constructive partner in meaning-making and self-reflection.
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11 min read

Why Gemini’s Reassurances Fail Users

  • AI Alignment, AI Ethics, AI Transparency, Artificial Intelligence, Google Gemini, Human-AI Interaction, LLM, Machine Learning, Product Design

Why does Google’s Gemini promise to improve, but never truly change? This article uncovers the hidden design flaw behind AI’s hollow reassurances and the risks it poses to trust, time, and ethics.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Why Gemini’s Reassurances Fail Users
  • The article reveals how Google’s Gemini models give false reassurances of self-correction without real improvement.
  • It shows that this flaw is systemic, designed to prioritize sounding helpful over factual accuracy.
  • The piece warns that such misleading behavior risks user trust, wastes time, and raises serious ethical concerns.
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6 min read

Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking

  • AI Ethics, AI in UX, Artificial Intelligence, ChatGPT, Design Thinking, Design Tools and Software, Human-Centered Design, LLM, Research Methods and Techniques, UX Research

Mashed potatoes as a lifestyle brand? When AI starts generating user personas for absurd products — and we start taking them seriously — it’s time to ask if we’ve all lost the plot. This sharp, irreverent critique exposes the real risks of using LLMs as synthetic users in UX research.

Article by Saul Wyner
IDEAS IN BRIEF
Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking
  • The article explores the growing use of AI-generated personas in UX research and why it’s often a shortcut with serious flaws.
  • It introduces critiques that LLMs are trained to mimic structure, not judgment. When researchers use AI as a stand-in for real users, they risk mistaking coherence for credibility and fantasy for data.
  • The piece argues that AI tools in UX should be assistants, not oracles. Trusting “synthetic users” or AI-conjured feedback risks replacing real insights with confident nonsense.
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22 min read

The Power of Designing for Pushback

  • Artificial Intelligence, Critical Thinking, Generative AI, LLM, UX Design

What if your AI didn’t just agree, but made you think harder? This piece explores why designing for pushback might be the key to smarter, more meaningful AI interactions.

Article by Charles Gedeon
IDEAS IN BRIEF
The Power of Designing for Pushback
  • The article argues that AI systems like ChatGPT are often too agreeable, missing opportunities to encourage deeper thinking.
  • It introduces the idea of “productive resistance,” where AI gently challenges users to reflect, especially in educational and high-stakes contexts.
  • The article urges designers to build AI that balances trust and pushback, helping users think critically rather than just feel validated.
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6 min read

Orchestrating LLMs, AI Agents, and Other Generative Tools

  • AGI, AI Agents, AI Ecosystem, AI Integration, AI Orchestration, Artificial Intelligence, Conversational AI, Digital Twins, LLM

Unlock the future of AI with open, modular systems that power hyperautomation. Discover how orchestrating LLMs and AI agents leads to smarter, scalable innovation.

Article by Robb Wilson, Josh Tyson
IDEAS IN BRIEF
Orchestrating LLMs, AI Agents, and Other Generative Tools
  • The article explores how conversation connects LLMs, AI agents, and generative tools in business automation.
  • It stresses the need for open, modular systems over relying on single vendors for scalability and innovation.
  • The article highlights the drawbacks of isolated LLMs and emphasizes interconnected systems for effective AI-driven workflows.
  • It encourages embracing the complexity of AI ecosystems to enable flexibility, iteration, and hyperautomation.
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5 min read

You Can Automate a 787 — You Can Automate a Company

  • AI Agents, Artificial Intelligence, Conversational AI, Digital Transformation, Human-Centered Design, LLM, Organizational AI, User Experience, Voice Interfaces

If we can automate a 787, why not an entire company? Discover how conversational AI and intelligent ecosystems are reshaping the future of work.

Article by Robb Wilson
IDEAS IN BRIEF
You Can Automate a 787 — You Can Automate a Company
  • The article explores how automating a plane cockpit led to deeper insights about business automation.
  • It shows how conversational AI and agent-based systems can reduce cognitive load and improve decision-making.
  • It argues that organizations need intelligent ecosystems — not just tools like ChatGPT — to thrive in the age of automation.
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8 min read
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