Category Archives: scalar | 放大器

Scalable

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next ~ scalable

— Me@2011.12.02

Anything not scalable cannot make sure its own long-term survival.

— Me@2012-10-13 11:26:12 AM

Information survives by people copying it.

– John Baez, mathematical physicist

2012.10.13 Saturday (c) All rights reserved by ACHK

Startup 12

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What is technology? It’s technique. It’s the way we all do things. And when you discover a new way to do things, its value is multiplied by all the people who use it. It is the proverbial fishing rod, rather than the fish. That’s the difference between a startup and a restaurant or a barber shop. You fry eggs or cut hair one customer at a time. Whereas if you solve a technical problem that a lot of people care about, you help everyone who uses your solution. That’s leverage.

— How to Make Wealth

But isn’t the consulting company itself a startup? No, not generally. A company has to be more than small and newly founded to be a startup. There are millions of small businesses in America, but only a few thousand are startups. To be a startup, a company has to be a product business, not a service business. By which I mean not that it has to make something physical, but that it has to have one thing it sells to many people, rather than doing custom work for individual clients. Custom work doesn’t scale. To be a startup you need to be the band that sells a million copies of a song, not the band that makes money by playing at individual weddings and bar mitzvahs.

— How to Fund a Startup

— Paul Graham

2012.05.19 Saturday ACHK

Computer games, 4

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Like many software developers, my introduction to programming was my Dad telling me if I wanted to play video games at home, I had to write them first. Tough love hurts. Home game consoles were the gateway drug of choice for parents who imagined their children as young programmers, a sneaky way for parents to trick their lazy game-playing kids into learning BASIC.

— Rediscovering Arcade Nostalgia

— Jeff Atwood

2012.05.08 Tuesday ACHK

Meta 3

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… the people who made money from the gold rush were not the gold miners. It was guys named Levi Strauss and Crocker, and folks who ran banks, and people who sold jeans, and sold picks and axes.

I think ultimately in the long term that the money that will get made in Minecraft will not be about Minecraft, but will be about the services and products that get introduced into it. And so that’s what’s most interesting to me about Minecraft, is that the ecosystem, it’s almost an American history lesson.

— Rich Hilleman

— Getting EA Ready for the Future

— Brandon Sheffield

— Gamasutra

2012.04.11 Wednesday ACHK

Meta-company

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Meta 2

“You know what’s great about the YC network? It gives the benefit of being part of a large company without being part of a big company,” Graham says. “The problem with doing a startup–even though it’s better in almost every other respect–is that you don’t have the resources of a big company to draw on. It’s very lonely; you have no one to give you advice or help you out. In a big company, you might be horribly constrained, but there are like 1,000 other people you can go to to deal with any number of problems. Now [with YC] you have 1,000 people you can go to to deal with problems, and you don’t have all the restrictions of a big company.”

— Paul Graham: Why Y Combinator Replaces The Traditional Corporation

— Austin Carr

2012.02.29 Wednesday ACHK

Meta-teacher

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Meta 1.2 | Recursion 9.2

如何拯救眾生 3

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Now, the common paradigm is that the teacher-student ratio is critical — fewer students means higher-quality teaching. But if you turn your students into teachers, you gain leverage. You move the fulcrum over.

– The 8th Habit p. 32, by Stephen Covey

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2008.10.24 Friday ACHK

Simple 4

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Remember that human nature has a tendency to admire complexity, but to reward simplicity.

Complexity has an inverse effect on the ability to scale your business. The more complicated you make your business, the harder it is to expand it.

— Ben Huh

2011.11.09 Wednesday ACHK

Lightning a fire

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誰終將聲震人間，必長久深自緘默；誰終將點燃閃電，必長久如雲漂泊。

— 尼采

Teaching is not filling a vase, but lighting a fire.

— Michel de Montaigne

Teaching is not filling a vase, but lightning a fire.

— Me@2005

教師任務　點石成金

— Me@2007.08.21

燭燃閃電　點石成金

— Me@2010.11.28

2011.09.30 Friday (c) All rights reserved by ACHK

Wikipedia 3

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Name: Jimmy “Jimbo” Wales
Job: Founder, Wikipedia
Passion: Information for everyone      
Turning Point: An operation that saved his daughter’s life taught him the need to stockpile rare knowledge such as her doctor’s

He wipes it off and begins haltingly.

“At the end of the procedure, I realized how precious the doctor’s knowledge was. It occurred to me that no one other than this doctor would ever know about this whole thing. There had to be a way”. And that is how Wikipedia came about.

— Daddy has Kira to Thank

— by Subroto Bagchi | Jun 5, 2009

2011.08.17 Wednesday ACHK

Pay it forward

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The expression “pay it forward” is used to describe the concept of asking that a good turn be repaid by having it done to others instead.

The concept was rediscovered and described by Benjamin Franklin, in a letter to Benjamin Webb dated April 22, 1784:

    I do not pretend to give such a Sum; I only lend it to you. When you […] meet with another honest Man in similar Distress, you must pay me by lending this Sum to him; enjoining him to discharge the Debt by a like operation, when he shall be able, and shall meet with another opportunity. I hope it may thus go thro’ many hands, before it meets with a Knave that will stop its Progress. This is a trick of mine for doing a deal of good with a little money.

Ralph Waldo Emerson, in his 1841 essay Compensation, wrote: “In the order of nature we cannot render benefits to those from whom we receive them, or only seldom. But the benefit we receive must be rendered again, line for line, deed for deed, cent for cent, to somebody.”

In 1916, Lily Hardy Hammond wrote, “You don’t pay love back; you pay it forward.”

— Wikipedia on Pay it forward

2011.08.10 Wednesday ACHK

無友不如己者 5

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水平 6

（安：你「無友不如己者」的那幾篇文章的主旨是，對於一些水平遠低於自己的人，你有方法在不接觸他們的情況下，大大提升他們的智力。）

無錯，例如透過寫文章。

（安：低層次的人會被高層次的人提升水平。這個比較明顯。但是，為什麼高層次的會被低層次的人拖低水平呢？）

這兒的「水平」有兩個元素，「智力水平」和「品德水平」。

智力水平方面，高層次的人和低層次的人相處，會浪費了原本用來提升自己水平的時間。其實，即使不是提升，而只是維持自己的水平，都已經很花時間。

品德水平方面，建設很難，破壞很易：

一滴墨水，滴落一杯清水。清水會變成污水，墨水不會變成清水。

— Me@2010.04.06

— Me@2011.06.29

2011.06.29 Wednesday (c) All rights reserved by ACHK

二百萬

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機械人 2

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戀愛，只可以令到兩個人快樂。

沒有戀愛，卻有時間為一百萬人帶來快樂。

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如果我的戀愛對象，有共同理想的話，我們就可以為，二百萬人帶來快樂。

— Me@2010.06.13

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2011.06.11 Saturday (c) All rights reserved by ACHK

MapReduce 2

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MapReduce is a framework for processing huge datasets on certain kinds of distributable problems using a large number of computers (nodes), collectively referred to as a cluster (if all nodes use the same hardware) or as a grid (if the nodes use different hardware). Computational processing can occur on data stored either in a filesystem (unstructured) or within a database (structured).

“Map” step: The master node takes the input, partitions it up into smaller sub-problems, and distributes those to worker nodes. A worker node may do this again in turn, leading to a multi-level tree structure. The worker node processes that smaller problem, and passes the answer back to its master node.

“Reduce” step: The master node then takes the answers to all the sub-problems and combines them in some way to get the output — the answer to the problem it was originally trying to solve.

— Wikipedia on MapReduce

2011.04.27 Wednesday ACHK

MapReduce

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By abstracting away the very concept of looping, you can implement looping any way you want, including implementing it in a way that scales nicely with extra hardware.

Without understanding functional programming, you can’t invent MapReduce, the algorithm that makes Google so massively scalable. The terms Map and Reduce come from Lisp and functional programming. MapReduce is, in retrospect, obvious to anyone who remembers from their 6.001-equivalent programming class that purely functional programs have no side effects and are thus trivially parallelizable.

The very fact that Google invented MapReduce, and Microsoft didn’t, says something about why Microsoft is still playing catch up trying to get basic search features to work, while Google has moved on to the next problem: building Skynet^H^H^H^H^H^H the world’s largest massively parallel supercomputer. I don’t think Microsoft completely understands just how far behind they are on that wave.

— Can Your Programming Language Do This?

— Joel Spolsky

2011.04.22 Friday ACHK