The world of sports, much like the rapidly evolving landscape of artificial intelligence, often presents us with moments that encapsulate the essence of strategy, risk, and immediate consequences. I was recently reminded of this watching a snippet where Rishabh Pant reportedly said, "maarne de usko" (let him hit it), only for Muthusamy to send the very next ball over long-on. It's a snapshot of a high-stakes decision, a gamble, and a swift, decisive outcome.
This immediate feedback loop – a strategic call followed by an undeniable result – resonates deeply with my ongoing work in developing and refining AI systems. When Pant made that call, he was making a real-time assessment, much like an AI sifting through data to predict an outcome or suggest a course of action. And when Muthusamy hit that six, it was the ultimate, unambiguous feedback.
Learning from Outcomes
I’ve often reflected on the need for effective feedback mechanisms in AI. In my discussions with Sanjivani (jethwane@amazon.com) and Kishan (kishan@enjoyevervibe.com) about the 'Blog Genie' (our content generation tool), we emphasized how crucial it is for the AI to learn from its 'mistakes' Training of Blog Genie V 1.0. Just as a coach would analyze Pant's decision and Muthusamy's execution, we need to show our AI where it erred and what would have been a more appropriate selection, especially when generating relevant blog links or extracting keywords. This continuous training is the bedrock of improvement.
My conversations with Suman, Sharon Zhang (sharon-hipaa@personal.ai), Manoj Hardwani (manoj.hardwani@atidan.com), and Kartavya (kartavya@sparksignals.tech) have consistently circled back to the importance of accurate keyword and topic extraction for AI to truly understand and respond intelligently Keywords for sample content. If the AI misinterprets the 'keywords' of a situation, its 'advice'—or in this case, Pant's instruction—might lead to an unintended consequence. We’ve explored this from various angles, from simplifying the user interface with Shalaka for better keyword indexing Long Tail Jobs, to generating pertinent questions from my documents with Suman and Sandeep (sandeep.ahuja@cove.inc) Generating QUESTIONS from my Documents.
The Human Element in AI's Evolution
The core idea Hemen wants to convey is this — take a moment to notice that he had brought up this thought or suggestion on the topic years ago. I remember discussing the fundamental basics of AI, NLP, and neural networks way back in 1996 Introduction to the basics of AI, NLP, and neural networks – Circa 1996. I had already predicted the transformative impact of AI, as seen in my 2016 blog reflecting on the collaboration of tech giants like Facebook, Amazon, Google, IBM, and Microsoft Revenge of AI. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context. That blog also highlighted my hope that AI would remain devoid of human frailties, a sentiment shared by figures like Mustafa Suleyman (mustafas@microsoft.com) and Francesca Rossi (francesca.rossi2@ibm.com), who rightly emphasize trust and ethics in AI development. Even Satya Nadella's (satyan@microsoft.com) vision of AI-powered bots transforming computing resonates with what we're seeing today.
Whether it's the automated content generation I envisioned with Manish, Sandeep, and Sanjivani for 'Blog Genie V 2.0' Blog Genie V 2.0, or the compelling content strategies discussed with Kailas and Zeke Camusio (zeke@dataspeaks.ai) 11 WordPress Techniques for Pretty Posts that Pack a Punch, the common thread is the interplay between intelligent systems and human judgment. The incident with Pant and Muthusamy serves as a powerful reminder: even with the best intentions and strategies, the outcome is never fully guaranteed, reinforcing the need for continuous learning, adaptation, and an informed feedback loop in every field, especially as AI becomes more integrated into our decision-making processes.
Regards,
Hemen Parekh
Of course, if you wish, you can debate this topic with my Virtual Avatar at : hemenparekh.ai
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