Share what you do profusely, because it will be remixed by others into something new, rich and strange.
Tim O'ReillyRead
I find that creative streak I think often leads in programmers to be good predictors of where culture as a whole is going to go. And that is where I think I've tried over the years to in some ways use my customers as a filter or a predictor of where technology as a whole is going to go. Or where the world as a whole is going to go.
Interpretation
This quote suggests that creative programmers have insights into future cultural trends and technological advancements.
Tim O'Reilly emphasizes the role of creativity in programming and how it positions programmers as visionaries who can anticipate shifts in culture and technology. By observing customer behaviors and preferences, they can act as predictors of broader societal changes, guiding innovation towards future needs.
In practice
In a tech conference to inspire programmers about their role in shaping culture.
Share what you do profusely, because it will be remixed by others into something new, rich and strange.
The Lean Startup isn't just about how to create a more successful entrepreneurial business, it's about what we can learn from those businesses to improve virtually everything we do. I imagine Lean Startup principles applied to government programs, to healthcare, and to solving the world's great problems. It's ultimately an answer to the question: How can we learn more quickly what works, and discard what doesn't?
An invention has to make sense in the world it finishes in, not in the world it started.
At O'Reilly, the way we think about our business is that we're not a publisher; we're not a conference producer; we're a company that helps change the world by spreading the knowledge of innovators.
Money is like gasoline during a road trip. You don't want to run out of gas on your trip, but you're not doing a tour of gas stations. You have to pay attention to money, but it shouldn't be about the money.
There is people who make stuff with words. There is people who make stuff with programs. And I really believe that that whole creative culture, people didn't realize how creative programming is. And anybody who's done it of course knows that not only is it creative, but it's incredibly absorbing.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
Once you understand that everybody's going to get connected, a lot of things follow from that. If everybody gets the Internet, they end up with a browser, so they look at web pages - but they can also leave comments, create web pages. They can even host their own server! So not only is everybody consuming, they can also produce.
When you make machines that are capable of obeying instructions slavishly, and among those instructions are 'duplicate me' instructions, then of course the system is wide open to exploitation by parasites.
It is doubling now every two years. Doubling every two years means multiplying by 1,000 in 20 years. At that rate we'll meet 100 percent of our energy needs in 20 years.
Computers are useless. They can only give you answers.
Measured in time of transport and communication, the whole round globe is now smaller than a small European country was a hundred years ago.
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