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Peter Thiel’s CS183: Startup - Class 1 Notes Essay

blakemasters:

Here is an essay version of my class notes from Class 1 of CS183: Startup. Errors and omissions are my own. Credit for good stuff is Peter’s entirely. 

CS183: Startup—Notes Essay—The Challenge of the Future

Purpose and Preamble

            We might describe our world as having retail sanity, but wholesale madness. Details are well understood; the big picture remains unclear. A fundamental challenge—in business as in life—is to integrate the micro and macro such that all things make sense.

            Humanities majors may well learn a great deal about the world. But they don’t really learn career skills through their studies. Engineering majors, conversely, learn in great technical detail. But they might not learn why, how, or where they should apply their skills in the workforce. The best students, workers, and thinkers will integrate these questions into a cohesive narrative. This course aims to facilitate that process.

I.          The History of Technology

            For most of recent human history—from the invention of the steam engine in the late 17th century through about the late 1960’s or so— technological progress has been tremendous, perhaps even relentless. In most prior human societies, people made money by taking it from others. The industrial revolution wrought a paradigm shift in which people make money through trade, not plunder.

              The importance of this shift is hard to overstate. Perhaps 100 billion people have ever lived on earth. Most of them lived in essentially stagnant societies; success involved claiming value, not creating it. So the massive technological acceleration of the past few hundred years is truly incredible.

             The zenith of optimism about the future of technology might have been the 1960’s. People believed in the future. They thought about the future. Many were supremely confident that the next 50 years would be a half-century of unprecedented technological progress.

              But with the exception of the computer industry, it wasn’t. Per capita incomes are still rising, but that rate is starkly decelerating. Median wages have been stagnant since 1973. People find themselves in an alarming Alice-in-Wonderland-style scenario in which they must run harder and harder—that is, work longer hours—just to stay in the same place. This deceleration is complex, and wage data alone don’t explain it. But they do support the general sense that the rapid progress of the last 200 years is slowing all too quickly. 

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Stanford Graduate School of Business: 5 Attitudes of Successful Entrepreneurs, from Professor Irv Grousbeck

stanfordbusiness:

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“Entrepreneurs don’t need to be impulsive, head-strong, bombastic, or have operating experience,” shared Professor Irv Grousbeck in his “Last Lecture” talk with the Stanford GSB Class of 2013. Below are 5 attitudes Grousbeck believes successful entrepreneurs possess:

1. An unending…

Stanford Graduate School of Business: How to develop your brand when you’re still a startup, from Fast Company Tech Editor Chris Dannen

stanfordbusiness:

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Fast Company Tech Editor Chris Dannen shares 4 tips for developing your brand:

BE ACTIVE ON MANY PLATFORMS
Your startup needs to have a presence across multiple social media platforms. Don’t forget that each community attracts people with different interests; your job is to tailor the…

IBM and 10gen are collaborating on a standard that would make it easier to write applications that can access data from both MongoDB and relational systems such as IBM DB2

nosql:

The details are pretty confusing1

[…] the new standard — which encompasses the MongoDB API, data representation (BSON), query language and wire protocol — appears to be all about establishing a way for mobile and other next-generation applications to connect with enterprise database systems such as IBM’s popular DB2 database and its WebSphere eXtreme Scale data grid.

But the juicy part is in the comments; if you can ignore the pitches.


  1. if this is a new standard and it is all based on the already existing MongoDB API, BSON, and wire protocol, then 1) what’s new about it and 2) what exactly will make it a standard

Original title and link: IBM and 10gen are collaborating on a standard that would make it easier to write applications that can access data from both MongoDB and relational systems such as IBM DB2 (NoSQL database©myNoSQL)

Visualizing Hadoop data with Tableau Software and Cloudera Connector for Tableau

nosql:

Put together one of the most impressive visualization tools, Tableau Software, with one of the best solutions for big data, Hadoop, and you’ll probably get some astonishing results.

Cloudera Connector for Tableau

Credit Cloudera.

While Tableau Software works with structured data only, with this connector it gets access to Hive through HiveQL.

Original title and link: Visualizing Hadoop data with Tableau Software and Cloudera Connector for Tableau (NoSQL database©myNoSQL)

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