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AGI

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

Article by Bernard Fitzgerald
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.
Share:The Hidden Key to AGI: Why Ethical Annotation is the Only Path Forward
7 min read

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
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.”
Share:Random Acts of Intelligence
5 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

Curious about the future of AI? Discover how OpenAI’s “Strawberry” could transform LLMs with advanced reasoning and planning, tackling current limitations and bringing us closer to AGI. Find out how this breakthrough might redefine AI accuracy and reliability.

Article by Andrew Best
Why OpenAI’s “Strawberry” Is a Game Changer
  • The article explores how OpenAI’s “Strawberry” aims to enhance LLMs with advanced reasoning, overcoming limitations like simple errors and bringing us closer to AGI.
  • It investigates how OpenAI’s “Strawberry” might transform AI with its ability to perform in-depth research and validation, improving the reliability of AI responses.
Share:Why OpenAI’s “Strawberry” Is a Game Changer
3 min read

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