Some speculate that overall fake news could cost the economy $39 billion a year. Quite a market to grab for a savvy tech startup, even at 1%! But while fake news and in particular deep fakes have been accused of wreaking havoc on minds and economy, there is surprisingly only a minimal amount of companies offering tools to combat them. The reason?
For a long time, videos have been heralded as the Next Big Thing, the capture format that was going to replace still photography. But technology disruption often progresses more slowly than one might think. Or much faster than one might think. Or ends up stopping dead in its tracks. So where
The battle is on. The forces of truth against forces of deception. With visual AI making it easier to fake visual content, its credibility is at stake. And with it, the income of thousands upon thousands of people worldwide who depend on the credibility of visuals to thrive: Newspapers, magazines,
It made a giant noise as it caught everyone by surprise — $230 million investment in a company providing photo services. After Adobe’s $800 million purchase of French microstock photo company Fotolia, Pond 5’s $64 million investment and Shutterstock’s $76.5 million IPO, it is the highest figures ever seen invested
While the release of this person does not exist by three researchers created a massive wave of buzz, it never went beyond curiosity. When Ivan Braun and his team launched Generated Photos, the interest changed to concern and apprehension. Generating human portraits via AI was no longer a research paper but a real,
I’d like to share a few thoughts spurred by our recently released Building the Gig Photo Economy study, as well as the conversations I’ve since had with quite a few folks using or supplying Gig Photography services. First of all, we live in an era of diminishing stigma against outsourcing household tasks