{"id":266331,"date":"2026-06-07T03:12:00","date_gmt":"2026-06-07T07:12:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/07\/the-weight-of-intelligence-by-satish-viswanathan\/"},"modified":"2026-06-07T03:45:14","modified_gmt":"2026-06-07T07:45:14","slug":"the-weight-of-intelligence-by-satish-viswanathan","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/07\/the-weight-of-intelligence-by-satish-viswanathan\/","title":{"rendered":"The Weight Of Intelligence By Satish Viswanathan"},"content":{"rendered":"

The Weight Of Intelligence By Satish Viswanathan<\/a><\/p>\n

https:\/\/www.forbes.com\/sites\/johnwerner\/2026\/06\/07\/the-weight-of-intelligence-by-satish-viswanathan\/<\/a><\/p>\n

Publish Date: 2026-06-07 03:12:00<\/a><\/p>\n

Source Domain: www.forbes.com<\/a><\/p>\n

Science and education concept. AI (Artificial Intelligence).<\/span><\/p>\n

getty<\/p>\n

There\u2019s an interesting book on AI about to come out, and if you\u2019re looking for deep insights into how the technologies in play are impacting business, you might want to check it out. Satish Viswanathan has written \u201cThe Weight of Intelligence,\u201d a weighty tome with a table of contents that looks like an indexed survey on LLMs in enterprise.<\/p>\n

Viswanathan has AI bonafides, as former Managing Director at Accenture, and MIT ties, with a history of working with our academic labs in Boston. Now he\u2019s scrutinizing the landscape of AI, and coming up with some applicable ideas about technology in our times.<\/p>\n

The Pace and Nature of Change<\/h2>\n

In the early pages of the book, Viswanathan goes into some of the ways that neural nets are bringing us a new reality.<\/p>\n

\u201cArtificial intelligence is no longer advancing in isolated bursts,\u201d Viswanathan writes. \u201cIts capabilities are stacking. What once looked like separate breakthroughs now appears as a reinforcing sequence: better architectures, more data, more compute, broader interfaces, and then new layers of reasoning and action built on top of them. The story is no longer about one breakthrough at a time. It is about a system of breakthroughs that increasingly amplify one another.\u201d<\/p>\n

This concept, of concentric circles, rocks dropped in a great body of water, is instructive in helping us to see not only the scope of AI, but the shape of it, and how things will be different moving forward.<\/p>\n

A Timeline<\/h2>\n

Viswanathan also presents a timeline of historic change, with the following: deep learning breakthroughs in perception tasks in 2012, transformer architecture in 2017, GPT progress circa 2020 and more successive GPT versioning through 2022\u20132024. He notes the rise of generative AI in public and enterprise experimentation over the past few years, and how reasoning-centric and agentic systems have begun combining language, planning, and action.<\/p>\n

A Theory of AI<\/h2>\n

Another major…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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