Let’s face it. There is too much noise out there, especially when it comes to the fields of AI and Agility.
The hype about GenAI is way above the top and a lot of people think that there is some magic going on and it is going to change everything.
People should realise that tools like ChatGPT and Gemini are Large Language Models that are based on statistics. These tools don’t think for you and they don’t understand what the output they are creating actually means. Occasionally, these models jut make stuff up as well.
All this is not a show stopper at all but you need to be aware of it when using it for your personal and especially for your professional purposes.
So, here are three articles about GenAI I enjoyed reading recently that may provide value to you as well. Check them out and let me know what you think.
The article "Agile in the Age of AI" by Henrik Kniberg explores how artificial intelligence might impact agile ways of working. Everything we know about team structures, cross-functional skills, and coding practices are likely to change. AI-empowered teams, often smaller and more efficient, are expected to reshape agile practices, reducing the need for large teams and lengthy sprints. The role of developers, Scrum Masters, and Agile Coaches will evolve, focusing more on strategic guidance and less on manual tasks. This shift necessitates continuous learning, recalibration, and adaptation to new AI-driven workflows.
In his article "ChatGPT Can't Plan. This Matters," Cal Newport discusses the limitations of language models like GPT-4, emphasizing their inability to perform true planning due to their static and feedforward architectures. Newport highlights the importance of simulating future scenarios for effective goal-directed behavior, a capability current AI lacks. He suggests that future AI advancements should focus on integrating various models to enhance digital cognition rather than merely expanding language models. This insight is crucial for those interested in the future of AI and its practical applications.
The article "Turning the Tables on AI" advocates for using AI tools like ChatGPT to enhance, rather than replace, human thought. It suggests leveraging AI for brainstorming, refining ideas, and offering feedback while ensuring that the final creative output remains uniquely human. The author emphasizes the importance of maintaining originality and critical thinking in the age of AI, encouraging users to use AI as a prompt for deeper intellectual engagement rather than a crutch.