Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Wednesday, 15 October 2025

Semantic Search and the Future of News: A Recurring Vision

Semantic Search and the Future of News: A Recurring Vision

The Semantic Leap: From My Predictions to ChatGPT's Search Evolution

The recent news of ChatGPT evolving into an AI web search engine, as discussed in an article about it ChatGPT - An AI Web Search Engine Reigniting Search War Among Big Tech, brings a profound sense of validation to thoughts I've harbored and written about for years. It's a significant milestone, shifting the paradigm of how we interact with information online, moving beyond mere keywords to a deeper understanding of 'meaning.'

I recall my enthusiasm back in 2018 when Google announced its BERT (Bidirectional Encoder Representations from Transformers) update. This was a pivotal moment, marking Google's significant stride towards understanding the nuance and context of search queries rather than just matching keywords. It allowed the search engine to grasp the 'meaning' behind phrases, especially prepositions and conjunctions, which drastically improved results for complex, conversational queries. While BERT was a powerful step forward, it was still primarily an enhancement to traditional keyword-based search, aiming to interpret the user's intent more accurately within a given query.

However, the evolution of Large Language Models (LLMs) like those powering ChatGPT represents a quantum leap beyond this. ChatGPT doesn't just interpret a query; it generates a comprehensive, contextually rich response based on its vast training data and real-time web access. It's not merely finding documents that match; it's synthesizing information to answer directly, understand follow-up questions, and engage in a truly conversational manner. This shift moves us from a 'search results page' to an 'answer generation engine.'

This progression mirrors my long-held belief that the future of information access would transcend simple keyword matching. I've often spoken about the need for systems that understand the 'why' behind a query, not just the 'what.' The ability of AI to comprehend semantic meaning, derive insights, and present information in a synthesized, intelligent way fundamentally redefines what 'search' means. It transitions from a tool for finding information to a co-pilot for understanding and generating knowledge.

The 'search war' among big tech, now reignited by ChatGPT's capabilities, is no longer about who can index the most pages or return the most relevant links. It's about who can best leverage advanced AI to provide the most intuitive, insightful, and comprehensive answers, truly understanding the user's underlying intent and delivering meaning, not just data points. This is the future I envisioned, and it's exciting to witness it unfold.


Regards,
[Hemen Parekh] Any questions? Feel free to ask my Virtual Avatar at hemenparekh.ai

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