The electronic media introduced this idea to the larger audience very, very quickly. We spent years and years and years meeting with activists all over Europe to lay the groundwork for a political response, as we did here.

The public should know that the liability issues here have yet to be resolved, or even raised. If you're a farmer and you're growing a genetically engineering food crop, those genes are going to flow to the other farm.

Back in 1983, the United States government approved the release of the first genetically modified organism. In this case, it was a bacteria that prevents frost on food crops.

What type of new economical system can organize this system? There is another sector in our life, that we rely on every single day, that are absolutely essential: the social commons, the social economy. It is all the activity we engage in to create social capital. It doesn't create capital market. Social commons is growing faster than the market place. It is growing faster than the market place. The social commons include any activity that is deeply social and collaborative.

The revolution here is from hierarchical to lateral power. That's the power shift. So increasingly a younger generation that's grown up on the internet and now increasingly distributing renewable energies, they're measuring politics in terms of a struggle between centralized, hierarchical, top-down and closed and proprietary, versus distributed, open, collaborative, transparent. This shift, from hierarchical to lateral power, is going to change the way we live, the way we educate our children, and the way we govern the world.

I wanted to make sure that this be the first scientific and technology revolution in history in which the public thoroughly discussed all the potential benefits and all the potential harms, in advance of the technology coming online and running its course.

Now in Wikipedia it's really interesting. If you put something incorrect up on Wikipedia within minutes there are people crawling all over that sentence saying, "This is wrong" or "I want to change this" or "You've got to include an amplification," et cetera. So there's this massive checks and balances that actually makes that accuracy work. This is the kind of model that we - and I'm not sure why no one's discussing this - that we now have to begin to apply to fake news.