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Showing posts from February, 2026
  Gen AI Without Bias? A common and reasonable objection runs: "Why can’t LLMs simply be built by good, well-intentioned humans to become perfectly unbiased arbiters of facts and truth?" The question assumes that bias can (and should) be surgically removed during training, leaving only a neutral, sanitized "truth engine." But this rests on a deeper misconception about how intelligence—human or machine—actually develops discernment. Consider the famous slogan from Kerala’s library and literacy movement, popularized by P.N. Panicker: *"വായിച്ചു വളരുക"* ("Read and grow" / "Vaayichu valaruka"). No one added the qualifier: "…but only from unbiased, fact-checked, government-approved books." The power of that advice lies precisely in its openness. A child (or adult) who grows up immersed in a rich, unfiltered mix of books—the profound and the prejudiced, the enlightened and the dogmatic, the progressive and the reactionary—develops s...