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A curated collection of books, tools, people, newsletters, podcasts, and articles that shape my thinking on AI, patents, and innovation
Books that fundamentally changed how I think about patents, AI, and innovation
by Genrich Altshuller
The foundational text on systematic innovation. Changed how I approach problem-solving in patent analysis.
Key Takeaway
"Innovation can be systematic, not just creative genius"
by Kevin Rivette & David Kline
Essential reading on patent strategy and IP portfolio management. Shows how patents create business value.
Key Takeaway
"Patents are business assets, not just legal documents"
by Lee Vinsel & Andrew Russell
Challenges the innovation obsession. Critical perspective on what actually creates value.
Key Takeaway
"Maintenance and incremental improvement often matter more than disruption"
by Kai-Fu Lee
Best overview of AI landscape, US-China dynamics, and future of work. Essential context for patent work in AI.
Key Takeaway
"AI implementation matters more than AI invention"
by Stephen Wolfram
Technical but accessible explanation of how LLMs actually work. Must-read for patent work in AI.
Key Takeaway
"Understanding transformers is crucial for AI patent analysis"
by Dean Radin
Explores consciousness from scientific perspective. Challenges conventional assumptions about mind and matter.
Key Takeaway
"Consciousness may be fundamental, not emergent"
by Daniel Kahneman
Essential understanding of cognitive biases. Directly applicable to patent examination and innovation assessment.
Key Takeaway
"We systematically overestimate the quality of our judgments"
by Steven Johnson
Explores 'scenius' - collective genius. Foundation for my thesis on moving from genius to srinius.
Key Takeaway
"Innovation is networked, not individual"
I'm always looking for new resources that challenge conventional thinking. If you've come across something exceptional, I'd love to hear about it.
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