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.
Independent perspectives on the state of business and technology.
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Programmers have built great tools for others. It’s time they built some for themselves.
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers.
There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
Consent is the first step toward the ethical use of data, but it's not the last.
Experts weigh in on GraphQL, machine learning, React, micro-frontends, and other trends that will shape web development.
From artificial intelligence to serverless to Kubernetes, here’s what's on our radar.
O’Reilly authors and instructors explore the near-term future of popular and growing programming languages.
How new developments in automation, machine deception, hardware, and more will shape AI.
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts.
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
Our bad AI could be the best tool we have for understanding how to be better people.
The World Economic Forum’s 2018 jobs report limits research to a narrow range of the workforce.
The economy we want to build must recognize increasing the value to and for humans as the goal.
HTTPS "everywhere" means everywhere—not just the login page, or the page where you accept donations. Everything.
General intelligence or creativity can only be properly imagined if we peel away the layers of abstractions.
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.