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diff --git a/...f-crypto-token-prices-are-discovered-through-consensus-rather-than-demand-and-supply.html b/...f-crypto-token-prices-are-discovered-through-consensus-rather-than-demand-and-supply.html
diff --git a/book/chapters/what-would-we-gain-from-eliminating-national-fiat-currency.html b/book/chapters/what-would-we-gain-from-eliminating-national-fiat-currency.html
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diff --git a/src/SUMMARY.md b/src/SUMMARY.md
@@ -90,6 +90,10 @@
 - [A Glimpse into a Coder's Experience](./chapters/programming/debugging_time.md)
 - [The Power of Interdisciplinary Knowledge: Breaking Down Barriers in Education](./chapters/programming/interdisciplinary.md)
 
+# Computer
+- [Is Moore's Law Finally Dead?](./chapters/computer/moore-law.md)
+
+
 
 # Science
 

diff --git a/src/chapters/computer/moore-law.md b/src/chapters/computer/moore-law.md
@@ -0,0 +1,16 @@
+# Is Moore's Law Finally Dead?
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/gWTnpy7sw2g?si=nz_U4X_wkA6fr0SD" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+
+## End of Moore’s law
+
+The [end of Moore's Law is an inevitable reality that the semiconductor industry](https://physicsworld.com/a/moores-law-further-progress-will-push-hard-on-the-boundaries-of-physics-and-economics/) will eventually face. Moore's Law, which states that the number of transistors on a chip doubles every two years, has been a driving force in the rapid advancement of technology. However, as we approach the physical limits of miniaturization, it becomes clear that this trend cannot continue indefinitely. The fundamental obstacles identified by Moore himself, the speed of light and the finite size of atoms, will inevitably create a bottleneck for further progress.
+
+
+## Companies working on miniaturization
+
+2012: 19 companies 
+
+2023: 4 companies
+
+In the  past, each new chip tech wave has required roughly 10 to 20 billion dollars per factory. For major manufacturers like TSMC and Global Foundries, investing that much money has been tough.  For smaller companies, it’s been impossible. This is why fewer and fewer companies are left to  push forward with the miniaturization game. Back in 2001, 19 companies were manufacturing chips  with cutting-edge transistors. Fast forward to   today, and we’ve only got four left standing:  GlobalFoundries, Intel, Samsung, and TSMC.Those other 15 companies? They’ve made a strategic  shift to churn out older, so-called “legacy”   chips, that are still widely used but can be  produced more cost-effectively.
diff --git a/src/chapters/do-we-have-to-fear-machine-learning-or-ai.md b/src/chapters/do-we-have-to-fear-machine-learning-or-ai.md
@@ -228,3 +228,7 @@ Moreover, opaque AI models can also threaten our privacy, as they may collect an
 In contrast, open sourcing AI models promotes collaboration and fosters a shared interest in developing safe, transparent, and fair AI systems. By making the code and algorithms publicly accessible, developers and researchers can work together to identify and address potential issues, ensuring that the technology benefits society as a whole rather than a select few.
 
 Preventing AI misuse requires a multifaceted approach involving technology, policy, education, and ethical considerations. It's an ongoing challenge that requires vigilance and adaptation as AI technology evolves.
+
+## Data detox kit
+
+[Explore guides about Artificial Intelligence, digital privacy, security, wellbeing, misinformation, health data, and tech and the environment](https://datadetoxkit.org/en/home)