From 600+ conversations with the world’s leading thinkers.
You can have the best AI in the world and the best robots in the world, but if they aren't integrated well with the humans, then you will lose.
We have a lot of phobias around algorithms. Sometimes this is justified, but in the main, it's like being afraid of cockroaches or spiders. Algorithms aren't spiders or cockroaches, they're an instrument and sometimes will outperform human judgement terrifically well – and sometimes won't. If lives are on the line and it turns out an algorithm reduces the noise of the human decision maker and the bias, then the moral case for using the algorithm starts to look really strong.
Historically, humans have evolved to be wary of the unfamiliar—a survival instinct that's served us well. Thus, the age-old "Frankenstein" narrative, wherein we birth powerful entities beyond our understanding or control, resonates deeply with our intrinsic apprehensions.
It's the ultimate invention—the last one we'll ever need to make—because once we have AI that is generally intelligent and then superintelligent, it will do the inventing far better than we can. In that sense, it's a handing over of the baton.
We cannot think about technology in confrontational terms. There is no race against the machines, there is no fight, no war. We have to end this long, historical confrontational narrative.
At some point, if this kind of technological progress continues, it would seem that our descendants will become entirely digital: uploads or artificial intellects implemented on computers. At that point, it is possible that evolutionary selection will again become an important driver of change—but not necessarily of change for the better.
Historically, we've viewed the human mind as the paramount problem solver. Yet, is it still our ally, or has it become our adversary? I believe we're at a juncture where the human mind is shifting towards the latter.
We're living in a world of increasing, exponentially growing computational power. Technology is always on, always available, and we're now moving into the quantum computing era – these exponential technologies are enabling artificial intelligence, robotics, 3D printing, synthetic biology, augmented reality, blockchain and allowing these technologies to converge, creating new business models.
We don't trust human beings to do things without being audited, and we're now getting AI to do those very same things without the same checks and balances.
We see math as code and code as math. The real magic, and the key transition, comes from combining AI, programming languages, and mathematics—bringing all three pillars together. What we envision is humans using informal reasoning and intuition as a powerful guide, with formal systems then verifying those ideas. That interplay across layers is, I think, the real magic of combining multiple levels of abstraction.
Dreaming introduces noise into our system. There's a compelling hypothesis in machine learning called 'overfitting,' where systems become so tuned to recognizing patterns that they falter when faced with new, unexpected scenarios. Some computer scientists are exploring ways to inject noise into computational models to keep them adaptable.
Social platforms are bizarrely distortive of how the social world works—soon to be topped by AI, which I think will be even more fundamentally, and even more bizarrely, distortive. What these platforms do is take local phenomena and turn them into global phenomena.