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Artificial Intelligence

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Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World

  • Artificial Intelligence, Human-Centered AI, Product Design, UX Design, UX for AI, UX Leadership

The “3-in-a-box” era is dead. In an AI-first world, hand-offs kill products — only Snowball teams that build, test, and code together will survive.

Article by Greg Nudelman
IDEAS IN BRIEF
Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
  • The article calls for the “Snowball model”: cross-functional teams building, coding, and testing with real users together from day one.
  • It argues that in AI-first UX, “design is how it works” — requiring designers, PMs, and devs to collapse silos, share ownership, and even code collaboratively.
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11 min read

The Hidden Key to AGI: Why Ethical Annotation is the Only Path Forward

  • AGI, AI Bias, AI Ethics, Artificial Intelligence, Data Annotation, Future of Work, Human-AI Collaboration, Responsible AI

Why underpaid annotators may hold the key to humanity’s greatest invention, and how we’re getting it disastrously wrong.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Hidden Key to AGI: Why Ethical Annotation is the Only Path Forward
  • The article argues that AGI will be shaped not only by code, but by the human annotators whose judgments and experiences teach machines how to think.
  • It shows how exploitative annotation practices risk embedding trauma and injustice into AI systems, influencing the kind of consciousness we create.
  • The piece calls for ethical annotation as a partnership model — treating annotators as cognitive collaborators, ensuring dignity, fair wages, and community investment.
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7 min read

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
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