Burnie Burns Quotes

Facebook is teachable. If you hide items, you'll see fewer of those kinds of items in the future. Like more items, and you'll see more of those in the future.

Facebook is studying emotional reaction to things and bringing you fewer of things you don't engage with and more of what you do.

We need to build systems that can automatically figure out what's high quality and what's not, and encourage users to contribute high-quality content. There's a lot of technical challenges in that.

I want Facebook to pick the best 20 items to show me every single time I refresh that screen.

My hope for AI and Facebook in the next decade is you can sit down and tell Facebook, 'This is what I want to hear about today.' Like, I'm having a bad day; I want to hear some good news. If we make our products better, more people will use it - people use it more. It's fairly easy to understand.

I think Facebook has a lot of work to do to make sure people are seeing meaningful things and not garbage.

If I'm reading my Facebook feed, it's using algorithms, procedures, and methods to give me what I want, or what it thinks that I want, or what suits its business plan.

The exciting new thing, call it Internet.2, would be where links were updated and moved depending on where people click. That would give you the kind of content screening that you don't get at the moment.

Facebook is at the forefront. It's the company that can fundamentally change the way information is being exchanged and processed. It can be the basis for artificial intelligence to develop over time.

Companies have choices to make about what extent they're handling their users' content.

All sorts of factors contribute to what Facebook or Twitter present in a feed, or what Google or Bing show us in search results. Our expectation is that those intermediaries will provide open conduits to others' content and that the variables in their processes just help yield the information we find most relevant.

Facebook can be an accumulation of different intelligences.

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.

As a society, we are underinvesting resources in research on the societal implications of AI technologies.

Because Facebook can't exist without AI, it needs all its engineers to build with it.

I am worried that algorithms are getting too prominent in the world. It started out that computer scientists were worried nobody was listening to us. Now I'm worried that too many people are listening.

Ideally, Facebook would take all our clicks and information and would magically give us everything we want, without us even knowing we want it.

Google created the intent graph. Facebook created the social graph. We are creating the emotional graph.

Are companies like YouTube, Facebook, and Twitter open technology platforms or publishers with curated content? For years, Big Tech giants have tried to have it both ways, exploiting special legal protections to enrich themselves while behaving like publishers without the liabilities.

I believe in human-centered AI to benefit people in positive and benevolent ways.

Science is going to be revolutionized by AI assistants.

All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want.

Networks love data. They love to be able to look at numbers and try to predict what they think will work.

Advanced technology changes the way we work and the skills we need, but it also boosts productivity and creates new jobs.