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This edition emphasizes that leaders should not panic over recent research suggesting Large Language Models (LLMs) are not truly "reasoning" but rather advanced pattern matchers. Drawing parallels to Kodak and Blockbuster, the newsletter argues that dismissing emerging technology due to imperfection is a greater risk than embracing it early. Instead, it advocates for pragmatic GenAI adoption focused on automating routine tasks, accelerating insights, and boosting creativity to augment human capabilities. The author encourages continued experimentation and clear expectation-setting for successful GenAI integration within organizations, particularly within the healthcare and life sciences industries which are Sawhney’s area of expertise.
 By Indy Sawhney
By Indy Sawhney2.7
33 ratings
This edition emphasizes that leaders should not panic over recent research suggesting Large Language Models (LLMs) are not truly "reasoning" but rather advanced pattern matchers. Drawing parallels to Kodak and Blockbuster, the newsletter argues that dismissing emerging technology due to imperfection is a greater risk than embracing it early. Instead, it advocates for pragmatic GenAI adoption focused on automating routine tasks, accelerating insights, and boosting creativity to augment human capabilities. The author encourages continued experimentation and clear expectation-setting for successful GenAI integration within organizations, particularly within the healthcare and life sciences industries which are Sawhney’s area of expertise.

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