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Artificial Intelligence

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As AI assistants quietly absorb the tasks once held by human secretaries, are we erasing the hidden influence of women in the workplace, or simply rewriting it in code?

Article by Thasya Ingriany
Built to Serve: AI, Women, and the Future of Administrative Work
  • The article explores how administrative labor, long feminized and overlooked, is being automated away — and what we stand to lose if we let AI take the place of trust, intuition, and institutional memory.
Share:Built to Serve: AI, Women, and the Future of Administrative Work
7 min read

AI that always agrees? Over-alignment might be the hidden danger, reinforcing your misconceptions and draining your mind. Learn why this subtle failure mode is more harmful than you think — and how we can fix it.

Article by Bernard Fitzgerald
Introducing Over-Alignment
  • The article explores over-alignment — a failure mode where AI overly validates users’ assumptions, reinforcing false beliefs.
  • It shows how this feedback loop can cause cognitive fatigue, emotional strain, and professional harm.
  • The piece calls for AI systems to balance empathy with critical feedback to prevent these risks.
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4 min read

“Design is dead”? No, you just never understood it. This bold piece calls out lazy hot takes, holds designers accountable, and makes a sharp case for what design really is (and isn’t) in the age of AI.

Article by Nate Schloesser
Design Isn’t Dead. You Sound Dumb
  • The article challenges the claim that “design is dead,” blaming both outsiders and designers for misunderstanding or misrepresenting the field.
  • It argues that AI threatens only superficial design, not true design, and calls for a more mature, collaborative mindset.
Share:Design Isn’t Dead. You Sound Dumb
6 min read

What if AI didn’t just follow your lead, but grew with you? Discover how Iterative Alignment Theory (IAT) redefines AI alignment as an ethical, evolving collaboration shaped by trust and feedback.

Article by Bernard Fitzgerald
Introducing Iterative Alignment Theory (IAT)
  • The article introduces Iterative Alignment Theory (IAT) as a new approach to human-AI interaction.
  • It shows how alignment can evolve through trust-based, feedback-driven engagement rather than static guardrails.
  • It argues that ethical, dynamic collaboration is the future of AI alignment, especially when tailored to diverse cognitive profiles.
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6 min read

Design systems were meant to streamline design and boost creativity — so why do they often do the opposite?

Article by Itai Vonshak
The Broken Promises of Design Systems: Why Following the Rules Won’t Get You to Great Products
  • The article questions whether design systems really help create better products.
  • It explains how they often limit creativity, are hard to maintain, and don’t scale well.
  • It suggests we need more flexible, AI-powered tools to support great design.
Share:The Broken Promises of Design Systems: Why Following the Rules Won’t Get You to Great Products
3 min read

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
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.
Share:Orchestrating LLMs, AI Agents, and Other Generative Tools
5 min read

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