Why it’s too early to get excited about Web3
Two economies. Two sets of rules.
Elon Musk isn’t superman. He does have supermoney.
Checking Jeff Bezos’s Math
Stakeholder Capitalism Deserves Clearer Metrics
The End of Silicon Valley as We Know It?
Four ways the party may be coming to an end
Remembering Freeman Dyson
Treasured moments with a genius we will all miss.
AI isn’t magic. It’s computer science.
Rob Thomas and Tim O’Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs.
Antitrust regulators are using the wrong tools to break up Big Tech
What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces.
Use technology to do what you do better
Innovation has the power to change industries, but new technology doesn’t always mean you need a new business model.
We need more than innovation to build a world that’s prosperous for all
Tim O’Reilly explains how we can “gradually, then suddenly” create a better world.
Making Facebook a scapegoat is a mistake
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
The fundamental problem with Silicon Valley’s favorite growth strategy
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.
Changing contexts and intents
The internet itself is a changing context—we’re right to worry about data flows, but we also have to worry about the context changing even when data doesn’t flow.
Future of the firm
Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
Gradually, then suddenly
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.
Shaping the stories that rule our economy
The economy we want to build must recognize increasing the value to and for humans as the goal.
Fireside chat with Tim O’Reilly and Kai-Fu Lee
Tim O'Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.
Open source and open standards in the age of cloud AI
Tim O'Reilly looks at how we can extend the values and practices of open source in the age of AI, big data, and cloud computing.
What’d I miss?
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
WTF? What’s the future and why it’s up to us
Tim O'Reilly says entrepreneurs need to set their sights on how we can use big data, sensors, and AI to create amazing human experiences and the economy of the future.
Our Skynet moment
Tim O'Reilly says the algorithms that shape our economy must be rewritten if we want to create a more human-centered future.
Using AI to create new jobs
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
5 tips for succeeding at digital transformation
The biggest challenges for companies trying to reinvent themselves come from an inability to imagine a different way of doing things.
How I detect fake news
How I traced the falsity of one internet meme, and what that teaches us about how an algorithm might do it.
“Wall Street made me do it”
We have to change the incentives that encourage companies to choose boosting their stock price over investing in people and the real economy.
Media in the age of algorithms
The problem of fake news and bad sites trying to game the system is an industry-wide problem — companies should share data and best practices in the effort to combat it.
What will AI make possible that’s impossible today?
If we let machines put us out of work, it will be because of a failure of imagination and a lack of will to make a better future. (Full text, video, and slides from Tim O'Reilly's talk at the White House Frontiers Conference.)
Creating a culture of learning
Tim O’Reilly, Laura Baldwin, and Jake Schwartz discuss advances in just-in-time corporate education and how companies and their staffs can keep up with the pace of change.
What problem are we trying to solve?
Tim O’Reilly, Reid Hoffman, and James Manyika discuss the struggles of forecasting the 21st-century economy.
Central Park: Government as a platform, in action
It's time to recognize that it's not government versus the market—government and our market system are the ultimate public-private partnership.
What should Alexa do?
The success of the Amazon Echo’s speech interface shows there's an opportunity for someone to build a completely new mobile operating system.
Why we’ll never run out of jobs
Tim O’Reilly explains why we can’t just use technology to replace people; we must use it to augment them so they can do things that were previously impossible.
The great question of the 21st century: Whose black box do you trust?
Algorithms shape choice not just for consumers but for businesses.
Tim O’Reilly: How smart managers should use artificial intelligence
Artificial intelligence isn't just about replacing humans with computers; the best managers will find ways to use AI to augment their workers. In this video, a compilation of clips from the O'Reilly Next:Economy Summit 2015, Tim O'Reilly talks with AI leaders who see an essential role for humans in the AI-enabled world.
What would Alexa do?
Alexa shows what’s possible when conversational interfaces just work.
The UK needs to double down on the GDS, not dismantle it
The British have a way of turning their backs on their greatest innovations.
The game of business: It’s time to rewrite the rules
Our current economic rules encourage the allocation of gains to consumers and financial shareholders, and the losses to workers and taxpayers. It doesn’t have to be that way.
Don’t replace people. Augment them.
If we let machines put us out of work, it will be because of a failure of imagination and the will to make a better future.
Applications of AI technologies: Peter Norvig in conversation with Tim O’Reilly
Exploring the rise of conversational interfaces, how AI will change the way programmers create software, and open source tools for AI and machine learning.
Machine money and people money
A conversation about Universal Basic Income with John Maynard Keynes and Paul Buchheit.
Technology and business as if people matter
Announcing the second annual Next:Economy Summit.
“This is strictly a business decision”
We have to stop telling ourselves that we are forced by the market to outsource jobs—we have a choice.
6 things to look for in Next:Economy companies
How to spot a Next:Economy company.
Escaping the superstar syndrome
Sports show us the impact a superstar can have on the success of a team. But it's the team with the most superstars that wins.
We’ve got this whole unicorn thing all wrong!
There’s another kind of unicorn: The breakthrough, once remarkable, that becomes taken for granted
Improving Uber’s surge pricing
Should algorithmic pricing be the norm rather than the exception?
How on-demand logistics could save brick and mortar retail
Retailers face another existential threat.
A world of continous partial employment
Managers and workers benefit when both have access to data and control.
The rise of networked platforms for physical world services
A look at the economic shift led by software and connectedness.
The WTF Economy
What do on-demand services, AI, and the $15 minimum wage movement have in common?
Innovation Nation – Megan Smith & Tim O’Reilly interview
From Solid Conference 2015: O'Reilly Media founder Tim O'Reilly talks to Megan Smith, CTO, United States Government.
How Data Science Is Transforming Health Care
Explore how data analysis will help us structure the business of health care more effectively around outcomes, and personalize medicine for each specific patient.
The Internet of Things and Humans
The network, new data capabilities, and mobile devices rich in sensors have created fresh and unconventional possibilities to rethink workflows and processes in the real world.
What Amazon, iTunes, and Uber teach us about Apple Pay
Truly disruptive services don’t just digitize the familiar. They do away with it.
By People, For People
The failure of healthcare.gov was a textbook DevOps (or rather, lack of DevOps) case study. But it’s part of a wider pattern that reminds us that people should be at the heart of everything we build. In fact, getting the “people” part right is the key both to DevOps and great user experience design.
#IoTH: The Internet of Things and Humans
The IoT requires thinking about how humans and things cooperate differently when things get smarter.
How I failed
A candid post about some of the things that kept me, my employees, and our company from achieving our full potential.
The Clothesline Paradox and the Sharing Economy
When you put your clothes in the dryer, the energy you use is measured and counted, but when you hang them on the line, they disappear from the measured economy
Some businesses bleed black
Many successful businesses have played by an entirely different set of rules.
The Huffington Post has a fake news problem
It isn’t just Facebook that has a fake news problem, and it isn’t just Donald Trump and kids in Macedonia who are using social media to send the news spinning wildly away from the truth.
Why AI is finally going mainstream
Introducing the O’Reilly Artificial Intelligence Conference.
Putting open source to work
OSCON is where independent developers and enterprise users find the knowledge and inspiration to work on things that matter.
Redesign government: A conversation between Tim O’Reilly and Mike Bracken
Tim O'Reilly and Mike Bracken explore the relationship between effective design and government service.
Breaking the habit: The art of noticing the world around us and making it better
How do you think about the future as a designer? Tim O'Reilly and Nest Labs CEO Tony Fadell explore that question and more in this conversation.
Opportunities and challenges in the IoT
A conversation with Cory Doctorow and Tim O'Reilly.
Rethinking and redesigning at beta.oreilly.com
O’Reilly’s new beta site puts the focus on learning and ideas.
Dennis Ritchie Day
On 10/30/11 let's remember the contributions of computing pioneer Dennis Ritchie.