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Super Moore Era
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GenAI Revolution
Nilesh Jasani
·
March 7, 2026
Five Certainties in the AI Storm: Beyond Hope and Hype
AI’s impact won’t be announced by a gradual S-curve. Using five indisputable priors, we arrive at five near-certain realities staring at us
Nilesh Jasani
·
February 15, 2026
History's Hallucinations
Our favorite "(some part of tech) is Dead" mantra has gone mainstream as a virality-generating title. Debates are shifting; opinions are not. History-gazing is back, and for all the wrong reasons
Nilesh Jasani
·
February 1, 2026
The Moltbook Cascade: When AI Agents Started Talking to Each Other
The world of AI likely changed this weekend
Nilesh Jasani
·
January 3, 2026
Silicon Shock: The Big ‘26 Theme
AI token demand has gone parabolic; supply stayed linear. Cascading impacts could be similar to the 1970s oil shock.
Nilesh Jasani
·
December 6, 2025
The Collapse of 'Cannot': When Models Break Intuitions
From linguistic structures to mathematical proofs, the "impossibility walls" of AI are falling. A look at the divergence between expert prediction and empirical reality
Nilesh Jasani
·
October 27, 2025
How Google Became the Unseen Winner of the AI Race
The age of Gemini is not about new tools it is about an old empire learning to think as one machine for the first time.
Nilesh Jasani
·
August 7, 2025
Infidelity Lessons and AI's Open Questions
At the heart of LLMs, every subdomain is a tug-of-war. No wonder, each new model gets a standing ovation followed by a quiet burial
Nilesh Jasani
·
March 1, 2025
From XaaS Boom to GenAI Bust? The Changing Fortunes of “Everything-as-a-Service”
GenAI is not a product but a layer. Monetization requires bundling with products and ecosystems, with differentiation through integration
Nilesh Jasani
·
February 4, 2025
Machines Building Machines: AI’s Accelerating Path
AI isn’t just learning—it’s teaching, building, and improving itself at lightning speed. Soon, the circularity will spread beyond text models
Nilesh Jasani
·
January 26, 2025
To the Attempter, There Might be Spoils
In the transition from Dragon to Snake, a crucial debate emerges in AI: the merits of massive scale versus adaptable efficiency.
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Our Latest Articles
Nilesh Jasani
·
March 14, 2026
Goliath’s World and the Encroachment Imperative
When physics demands integration, modularity becomes a liability. That is the hardware industry's problem now.
Nilesh Jasani
·
March 10, 2026
Optical Rivalries: Where One Tech Must Lose for the Other to Win
The red-hot interconnect space is not only small but endlessly self-cannibalizing, with many incompatible narratives
Nilesh Jasani
·
March 7, 2026
Five Certainties in the AI Storm: Beyond Hope and Hype
AI’s impact won’t be announced by a gradual S-curve. Using five indisputable priors, we arrive at five near-certain realities staring at us
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