Author: TJ Ravishankar

Generalised AI – too many open questions

This is the second instalment of the reflections on the impossibility of a generalized AI. While the first examined the issue through the prism of language, the second addresses it via our understanding of the functioning of the human brain. Sifting through different and often contrasting research in neuroscience and quantum physics on understanding how the brain functions and whether there is a mind or consciousness, this article raises the question of the possibility of a generalized AI amidst all the open questions facing us.
(I must make it clear that the research I have referred to in neuroscience and quantum physics is vastly more than I have indicated in this short article.)

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Valuations

SoftBank recently unveiled a $23 billion quarterly net loss, its biggest ever, as a market sell-off upended tech stocks and shredded valuations at its sprawling Vision Fund unit. The pain in the April-June quarter comes fresh after the closely watched Vision Fund posted a record $26 billion loss in May, when rising interest rates and political instability disrupted global markets, and could test investor willingness to stomach further big losses.

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The masked debate – net neutrality

Fools rush in where angels fear to tread. So they say. Yet, I have decided to be a fool and revisit the contentious debate over net neutrality, which was disguised as a battle for democracy and equality when it was in fact a battle between different businesses. There is a context to this revisiting – the dawn of 5G and the investments made by telecom companies in acquiring spectrum. In the interest of full disclosure, I have no business interest in this matter!

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Gullible, by choice

The difference between genius and stupidity is that genius has limits. This observation, attributed to Albert Einstein, has more than a ring of truth when it comes to the way people and the media continue to see ‘AI’ everywhere, which has become a catch all phrase.

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