I Reviewed the Biggest CS Papers of the Last 100 Years

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This video traces 10 landmark computer science papers that shaped modern computing, from Turing’s 1936 foundations to the transformer and GPT era.

It gives business leaders a fast, practical map of how breakthroughs in computation, search, distributed systems, and AI became the technologies driving today’s products and operations.

Paul’s Perspective:

Why this matters is simple: the technologies reshaping your business did not appear overnight. Understanding the few breakthroughs behind search, automation, machine learning, and large language models helps leaders separate hype from durable trends and make better decisions about where to invest next.

Key Points in Video:

The video spotlights 10 influential papers spanning roughly 84 years, from 1936 through 2020.
It connects foundational theory to real-world outcomes including modern search engines, neural networks, large-scale distributed systems, and generative AI.
Key milestones include Shannon’s information theory, Lamport’s work on event ordering, and the 2017 transformer paper that accelerated today’s AI race.
The timeline shows how progress often came in waves, with early breakthroughs followed by later commercial applications decades afterward.

Strategic Actions:

Start with Turing’s 1936 work to understand the foundations of computation.
Follow Shannon’s 1948 paper to see how modern digital communication became possible.
Review the rise of neural networks through the perceptron, its criticism, and the later comeback via backpropagation.
Examine Lamport’s distributed systems work to understand how large-scale computing stays coordinated.
Look at Google’s PageRank-era search breakthrough to see how information retrieval changed the web.
Trace the deep learning acceleration from AlexNet in 2012 to transformers in 2017.
Finish with few-shot language models in 2020 to connect the history to today’s AI tools.

The Bottom Line:

This video traces 10 landmark computer science papers that shaped modern computing, from Turing’s 1936 foundations to the transformer and GPT era.
It gives business leaders a fast, practical map of how breakthroughs in computation, search, distributed systems, and AI became the technologies driving today’s products and operations.

Dive deeper > Source Video:

I read every major CS paper of the last 100 years…

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If you’re sorting through what these AI and computing shifts mean for your business, we can help our team turn the big ideas into practical next steps for strategy, operations, and growth.