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.
Commentary
Independent perspectives on the state of business and technology.
AI’s desire
It’s easy to imagine an AI winning a game of Go, but can you imagine an AI wanting to play a game of Go?
Don’t let your ethical judgement go to sleep
We need to build organizations that are self-critical and avoid corporate self-deception.
From USENET to Facebook: The second time as farce
Demanding and building a social network that serves us and enables free speech, rather than serving a business metric that amplifies noise, is the way to end the farce.
It’s time to rebuild the web
The web was never supposed to be a few walled gardens of concentrated content owned by a few major publishers; it was supposed to be a cacophony of different sites and voices.
Do no harm
In the software world, we’re often ignorant of the harms we do because we don’t understand what we’re working with.
Why I won’t whitelist your site
Publishers need to take responsibility for code they run on my systems.
5 AI trends to watch in 2018
From methods to tools to ethics, Ben Lorica looks at what's in store for artificial intelligence.
What’d I miss?
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
8 fintech trends on our radar
AI, blockchain, payment regionalization, and other fintech trends to watch.
What lies ahead for data
How new developments in algorithms, machine learning, analytics, infrastructure, data ethics, and culture will shape the data world.
Who, me? They warned you about me?
Thoughts on "We are the people they warned you about."
Ethics at scale
Scale changes the problems of privacy, security, and honesty in fundamental ways.
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.
What if we build the internet we always wanted?
It's time to stop cursing the network we have and build the network we want.
The machine learning paradox
Nothing says machine learning can't outperform humans, but it's important to realize perfect machine learning doesn't, and won't, exist.
Defensive computing
The tools of defensive computing, whether they involve mascara and face paint or random autonomous web browsing, belong to the harsh reality we've built.
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.