Right now, algorithms show you different stories based on what they think you like (often creating echo chambers). In an Object-Based future, we all get the same facts, but the format adapts to our mode of intake.

What was the road like when I left?

The challenges of automated fact-checking are strikingly similar to those faced by human fact-checkers, only magnified.

If this technology is so influential to everyone, the responsibility must extend beyond the user. The platforms themselves (the people behind the app) must rethink how they work.

The power of a probabilistic approach is clear: in an age of petabyte-scale data, the right approximation is often the only possible solution. How has the ability to get a "good enough" answer in real-time changed the way you approach software architecture or data analysis?