“Wisdom, not facts. We’re not just looking random pieces of information. What’s the point of that? Your commonplace book, over a lifetime (or even just several years), can accumulate a mass of true wisdom–that you can turn to in times of crisis, opportunity, depression or job.” Original source: Keep a common place book

“Wisdom, not facts. We’re not just looking random pieces of information. What’s the point of that? Your commonplace book, over a lifetime (or even just several years), can accumulate a mass of true wisdom–that you can turn to in times of crisis, opportunity, depression or job.” Original source: Keep a common place book

“Amazon.com Inc. is famous for its losses over the years. But even in the heyday of the dot-com bubble, the e-commerce giant never came close. Amazon’s biggest loss was in 2000—a $1.4 billion embarrassment, or about $2 billion adjusted for inflation. Most years, Amazon turns a profit, albeit a small one. What Uber backers can point to, though, is a nearly unmatched pace of sales growth. Even as Uber’s revenue reached $2.

“Amazon.com Inc. is famous for its losses over the years. But even in the heyday of the dot-com bubble, the e-commerce giant never came close. Amazon’s biggest loss was in 2000—a $1.4 billion embarrassment, or about $2 billion adjusted for inflation. Most years, Amazon turns a profit, albeit a small one. What Uber backers can point to, though, is a nearly unmatched pace of sales growth. Even as Uber’s revenue reached $2.

“Amazon.com Inc. is famous for its losses over the years. But even in the heyday of the dot-com bubble, the e-commerce giant never came close. Amazon’s biggest loss was in 2000—a $1.4 billion embarrassment, or about $2 billion adjusted for inflation. Most years, Amazon turns a profit, albeit a small one. What Uber backers can point to, though, is a nearly unmatched pace of sales growth. Even as Uber’s revenue reached $2.

If you only followed the daily headlines, AI and machine learning seem like a magical technologies that will either solve all our problems or put everyone out of work. In reality, there’s little to know AI and machine learning, though complex, has many practical uses. While they’re often delightful, there’re not mystical. Coté discusses how to think about machine learning, how it works, and some examples of what it can do with Dominic Wellington.

If you only followed the daily headlines, AI and machine learning seem like a magical technologies that will either solve all our problems or put everyone out of work. In reality, there’s little to know AI and machine learning, though complex, has many practical uses. While they’re often delightful, there’re not mystical. Coté discusses how to think about machine learning, how it works, and some examples of what it can do with Dominic Wellington.

‘eBay and the internet have increased supply more than demand. It is much easier to sell an estate, or the contents of your attic, than before. But the upward potential for demand in the market isn’t nearly as significant. Some people say “well, I would in fact buy and collect antiques if I could get the right 18th century pieces at 40% their current values,” but many more people just aren’t interested at all.

‘eBay and the internet have increased supply more than demand. It is much easier to sell an estate, or the contents of your attic, than before. But the upward potential for demand in the market isn’t nearly as significant. Some people say “well, I would in fact buy and collect antiques if I could get the right 18th century pieces at 40% their current values,” but many more people just aren’t interested at all.

‘eBay and the internet have increased supply more than demand. It is much easier to sell an estate, or the contents of your attic, than before. But the upward potential for demand in the market isn’t nearly as significant. Some people say “well, I would in fact buy and collect antiques if I could get the right 18th century pieces at 40% their current values,” but many more people just aren’t interested at all.