Life Doesn’t Reward You For What You Know, But For What You Do

Do you emphasize knowledge? Do you believe you must have all the answers? How imaginative are you? How grand and compelling is your vision for yourself and the future? How excited are you to get up and embrace learning and change every day? Your level of conviction for daily learning is reflective of the power of your imagination. If your imagination is weak, then you probably aren’t learning very much. Creativity

Source: Life Doesn’t Reward You For What You Know, But For What You Do

How Pinduoduo became a $23 billion company in less than 4 years, according to an early investor – INSIDER

“When dominant players are so entrenched, they’re not usually in a good position to innovate,” he added. “At that point, they’re in a position of defense. That’s when it’s time to find a company that can attack a weak spot and find a new way of doing business.” Pinduoduo, Cao said, took a fresh approach to e-commerce that other industry players hadn’t employed so successfully. “Pinduoduo didn’t go after the market directly,” Cao said. “It found new rule of engagement. It showed that shopping could be more

Source: How Pinduoduo became a $23 billion company in less than 4 years, according to an early investor – INSIDER

The smartest things Amazon's Jeff Bezos has said in the last 20 years – Business Insider

2001: Here’s why we’ve started cutting prices Starting in 2001, the company started lowering prices on goods. The “loop” he mentions below will be covered in MBA classes for decades: “Focus on cost improvement makes it possible for us to afford to lower prices, which drives growth. Growth spreads fixed costs across more sales, reducing cost per unit, which makes possible more price reductions. Customers like this, and it’s good for shareholders. Please expect us to repeat this loop.”

Source: The smartest things Amazon’s Jeff Bezos has said in the last 20 years – Business Insider

The smartest things Amazon's Jeff Bezos has said in the last 20 years – Business Insider

1998: Here’s how you hire right This year’s snippet is somewhat out of context from the rest, but it still offers insight into how the company hired some of the brightest minds available in the late 1990s: “During our hiring meetings, we ask people to consider three questions before making a decision:
Will you admire this person? …
Will this person raise the average level of effectiveness of the group they’re entering? …
Along what dimensions might this person be a superstar?”

Source: The smartest things Amazon’s Jeff Bezos has said in the last 20 years – Business Insider

The Stanford professor who pioneered praising kids for effort says we’ve totally missed the point — Quartz

Researchers are also discovering just how early a fixed and growth mindset forms. Research Dweck is doing in collaboration with a longitudinal study at the University of Chicago looked at how mothers praised their babies at one, two, and three years old. They checked back with them five years later. “We found that process praise predicted the child’s mindset and desire for challenge five years later,” she says.

Source: The Stanford professor who pioneered praising kids for effort says we’ve totally missed the point — Quartz

Cognitive Biases and the Human Brain – The Atlantic

In 2011, iarpa initiated a program, Sirius, to fund the development of “serious” video games that could combat or mitigate what were deemed to be the six most damaging biases: confirmation bias, fundamental attribution error, the bias blind spot (the feeling that one is less biased than the average person), the anchoring effect, the representativeness heuristic, and projection bias (the assumption that everybody else’s thinking is the same as one’s own).

Source: Cognitive Biases and the Human Brain – The Atlantic

Cognitive Biases and the Human Brain – The Atlantic

project.”
I met with Kahneman at a Le Pain Quotidien in Lower Manhattan. He is tall, soft-spoken, and affable, with a pronounced accent and a wry smile. Over an apple pastry and tea with milk, he told me, “Temperament has a lot to do with my position. You won’t find anyone more pessimistic than I am.”
In this context, his pessimism relates, first, to the impossibility of effecting any changes to System 1—the quick-thinking part of our brain and the one that makes mistaken judgments tantamount to the Müller-Lyer line illusion. “I see the picture as unequal lines,” he said. “The goal is not to trust what I think I see. To understand that I shouldn’t believe my lying eyes.” That’s doable with the optical illusion, he said, but extremely difficult with real-world cognitive biases.
The most effective check against them, as Kahneman says, is from the outside: Others can perceive our errors more readily than we can. And “slow-thinking organizations,” as he puts it, can institute policies that include the monitoring of individual decisions and predictions. They can also require procedures such as checklists and “premortems,” an idea and term thought up by Gary Klein, a cognitive psychologist. A premortem attempts to counter optimism bias by requiring team members to imagine that a project has gone very, very badly and write a sentence or two describing how that happened. Conducting this exercise, it turns out, helps people think ahead.

Source: Cognitive Biases and the Human Brain – The Atlantic

Timsort: Fastest sorting algorithm for real world problems. – DEV Community 👩‍💻👨‍💻

Timsort was implemented by Tim Peters in 2002, it has been a standard sorting algorithm for Python since Python 2.3. Python’s sorted and list.sort function uses Tim sort. Java uses Timsort in JDK for sorting non primitive types. Android platform and GNU Octave also uses it as a default sorting algorithm. Timsort is a stable algorithm and beats every other sorting algorithm in time. It has O(nlogn) time complexity for worst case unlike quick sort and O(n) for best case scenarios unlike merge sort and heap s

Source: Timsort: Fastest sorting algorithm for real world problems. – DEV Community 👩‍💻👨‍💻

How brand new science will manage the fourth industrial revolution | ZDNet

Early in the computer revolution, the US government had a problem. Nearly all of its computers relied on proprietary software from companies like IBM and Honeywell. So it asked Stanford University mathematician George Forsythe to create an abstract language for all computers. Two years later, his team developed a thing called computer science, and issued a standard 10-page curriculum. An updated version is still used globally today.
“So, engineering, business, and computer science: Three completely different applied sciences, emerging from three completely different technical regimes, with different impulses,” Bell said.

Source: How brand new science will manage the fourth industrial revolution | ZDNet