Tim O’Reilly (original) (raw)

Tim O’Reilly

Tim O’Reilly has a history of convening conversations that reshape the computer industry. If you’ve heard the term “open source software” or “web 2.0” or “the Maker movement” or “government as a platform” or “the WTF economy,” he’s had a hand in framing each of those big ideas. He is the founder, CEO, and Chairman of O’Reilly Media, and a partner at early stage venture firm O’Reilly AlphaTech Ventures (OATV). He is also on the boards of Code for America, PeerJ, Civis Analytics, and PopVox. His book, WTF: What’s the Future and Why It’s Up to Us, was released by Harper Collins in October 2017. He is a Visiting Professor of Practice at University College London's Institute for Innovation and Public Purpose, where he is researching a new approach to regulating big technology platforms by limiting their ability to extract economic rents.

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How to Fix “AI’s Original Sin”

June 18, 2024

Rising Tide Rents and Robber Baron Rents

April 23, 2024

The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI

AI Has an Uber Problem

April 4, 2024

How Silicon Valley’s Race for Monopoly Inhibits Product-Market Fit

Copyright, AI, and Provenance

December 12, 2023

The RAG pattern makes it possible to track authors’ contributions to AI-generated work

Preliminary Thoughts on the White House Executive Order on AI

October 30, 2023

Why the White House should mandate more robust disclosures

The Alignment Problem Is Not New

June 15, 2023

Lessons for AI Governance from Corporate Governance

You Can’t Regulate What You Don’t Understand

Or, Why AI Regulations Should Begin with Mandated Disclosures

google-review-You Can’t Regulate What You Don’t Understand

April 13, 2023

Or, Why AI Regulations Should Begin with Mandated Disclosures

The Metaverse Is Not a Place

August 2, 2022

It’s a communications medium.

Andy Warhol, Clay Christensen, and Vitalik Buterin walk into a bar

January 26, 2022

Why it’s too early to get excited about Web3

December 13, 2021

Two economies. Two sets of rules.

June 22, 2021

Elon Musk isn’t superman. He does have supermoney.

Checking Jeff Bezos’s Math

April 23, 2021

Stakeholder Capitalism Deserves Clearer Metrics

The End of Silicon Valley as We Know It?

March 11, 2021

Four ways the party may be coming to an end

Remembering Freeman Dyson

March 4, 2020

Treasured moments with a genius we will all miss.

AI isn’t magic. It’s computer science.

September 25, 2019

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

August 19, 2019

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

June 27, 2019

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

June 17, 2019

Tim O’Reilly explains how we can “gradually, then suddenly” create a better world.

Making Facebook a scapegoat is a mistake

May 14, 2019

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

March 21, 2019

Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.

Changing contexts and intents

March 13, 2019

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

March 12, 2019

Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.

Gradually, then suddenly

January 10, 2019

Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.

Shaping the stories that rule our economy

September 20, 2018

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

September 6, 2018

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

July 18, 2018

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?

January 8, 2018

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

September 28, 2017

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

September 20, 2017

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

May 25, 2017

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

January 3, 2017

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

December 7, 2016

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”

December 1, 2016

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

November 16, 2016

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?

October 20, 2016

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

October 10, 2016

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

October 4, 2016

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?

September 29, 2016

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

September 26, 2016

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?

September 15, 2016

Algorithms shape choice not just for consumers but for businesses.

Tim O’Reilly: How smart managers should use artificial intelligence

August 30, 2016

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?

August 19, 2016

Alexa shows what’s possible when conversational interfaces just work.

The UK needs to double down on the GDS, not dismantle it

August 16, 2016

The British have a way of turning their backs on their greatest innovations.

The game of business: It’s time to rewrite the rules

August 4, 2016

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.

July 20, 2016

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

July 19, 2016

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

July 11, 2016

A conversation about Universal Basic Income with John Maynard Keynes and Paul Buchheit.

Technology and business as if people matter

June 29, 2016

Announcing the second annual Next:Economy Summit.

“This is strictly a business decision”

March 24, 2016

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

January 4, 2016

How to spot a Next:Economy company.

Escaping the superstar syndrome

October 30, 2015

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!

September 25, 2015

There’s another kind of unicorn: The breakthrough, once remarkable, that becomes taken for granted

Improving Uber’s surge pricing

September 23, 2015

Should algorithmic pricing be the norm rather than the exception?

How on-demand logistics could save brick and mortar retail

September 17, 2015

Retailers face another existential threat.

A world of continous partial employment

September 2, 2015

Managers and workers benefit when both have access to data and control.

The rise of networked platforms for physical world services

August 18, 2015

A look at the economic shift led by software and connectedness.

The WTF Economy

July 8, 2015

What do on-demand services, AI, and the $15 minimum wage movement have in common?

Innovation Nation – Megan Smith & Tim O’Reilly interview

June 27, 2015

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

May 4, 2015

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

November 20, 2014

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

September 30, 2014

Truly disruptive services don’t just digitize the familiar. They do away with it.

By People, For People

September 17, 2014

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

August 16, 2014

The IoT requires thinking about how humans and things cooperate differently when things get smarter.

How I failed

September 16, 2013

A candid post about some of the things that kept me, my employees, and our company from achieving our full potential.

July 18, 2012

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

Tim O’Reilly (original) (raw)

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