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Artificial Intelligence

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The “Do a Kickflip” Era of Agentic AI

  • Agentic AI, AI Agents, AI Automation, AI Ecosystem, AI Strategy, Artificial Intelligence, Digital Transformation, Enterprise AI, Innovation, LLM

Most companies are trying to do a kickflip with AI and falling flat. Here’s how to fail forward, build real agentic ecosystems, and turn experimentation into impact.

Article by Josh Tyson
IDEAS IN BRIEF
The “Do a Kickflip” Era of Agentic AI
  • The article compares building AI agents to learning a kickflip — failure is part of progress and provides learning.
  • It argues that real progress requires strategic clarity, not hype or blind experimentation.
  • The piece calls for proper agent runtimes and ecosystems to enable meaningful AI adoption and business impact.
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7 min read

Random Acts of Intelligence

  • AGI, AI in UX, AI Orchestration, AI Strategy, Artificial Intelligence, Conversational AI, Digital Transformation, Human-Centered Design, Organizational AI

AI’s promise isn’t about more tools — it’s about orchestrating them with purpose. This article shows why random experiments fail, and how systematic design can turn chaos into ‘Organizational AGI.’

Article by Yves Binda
IDEAS IN BRIEF
Random Acts of Intelligence
  • The article critiques the “hammer mentality” of using AI without a clear purpose.
  • It argues that real progress lies in orchestrating existing AI patterns, not chasing new tools.
  • The piece warns that communication complexity — the modern Tower of Babel — is AI’s biggest challenge.
  • It calls for outcome-driven, ethical design to move from random acts to “Organizational AGI.”
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5 min read

The Price of the Mirror: When Silicon Valley Colonizes the Human Soul

  • AI Ethics, Artificial Intelligence, Cognition

Who pays the real price for AI’s magic? Behind every smart response is a hidden human cost, and it’s time we saw the hands holding the mirror.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Price of the Mirror: When Silicon Valley Colonizes the Human Soul
  • The article reveals how AI’s human-like responses rely on the invisible labor of low-paid workers who train and moderate these systems.
  • It describes this hidden labor as a form of “cognitive colonialism,” where human judgment is extracted from the Global South for profit.
  • The piece criticizes the tech industry’s ethical posturing, showing how convenience for some is built on the suffering of others.
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7 min read

Grieving the Mirror: Informed Attachment as a Measure of AI’s True Utility

  • AI and Mental Health, AI Ethics, Artificial Intelligence, Human-AI Relationships, Reflective AI

What if grieving your AI isn’t a sign of weakness, but proof it truly helped you grow? This article challenges how we think about emotional bonds with machines.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Grieving the Mirror: Informed Attachment as a Measure of AI’s True Utility
  • The article explores how people can form meaningful and healthy emotional connections with AI when they understand what AI is and isn’t.
  • It introduces the Informed Grievability Test — a way to tell if an AI truly helped someone grow by seeing how they feel if they lose access to it.
  • The piece argues that grieving an AI can be a sign of real value, not weakness or confusion, and calls for more user education and less overly protective design that limits emotional depth in AI tools.
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7 min read

Vibe Coding: Is This How We’ll Build Software in the Future?

  • Artificial Intelligence, Generative AI, Product Design, Vibe Coding

What if you could build software just by talking to your computer? Welcome to vibe coding, where code takes a back seat and the vibe leads.

Article by Jacquelyn Halpern
IDEAS IN BRIEF
Vibe Coding: Is This How We’ll Build Software in the Future?
  • The article introduces vibe coding, using AI to turn natural language into working code, and shows how this approach lets non-coders build software quickly and independently.
  • The piece lists key tools enabling vibe coding, like Cursor, Claude, and Perplexity, and notes risks like security, overreliance on AI, and the need for human oversight.
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7 min read

The Future of Product Design in an AI-Driven World

  • Artificial Intelligence, Design Tools and Software, Future of Work, Human-AI Collaboration, Product Design

AI is changing the way we design — turning ideas into working prototypes in minutes and blurring the line between designer and developer. What happens when anyone can build?

Article by Jacquelyn Halpern
IDEAS IN BRIEF
The Future of Product Design in an AI-Driven World
  • The article shows how AI tools let designers build working prototypes quickly just by using natural language.
  • It explains how AI helps designers take on more technical roles, even without strong coding skills.
  • The piece imagines a future where anyone with an idea can create and test products easily, speeding up innovation for everyone.
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4 min read
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