Ninety percent of video game AI really is pretty damn bad. I think that's actually why it's so much fun to shoot things. Because the AI is so bad and the characters are so annoying.
Making the AI better in a video game is not like making the AI better in, say, a chess game. Making it better in terms of acting ability - we're basically improving its acting so that the user can have more fun.
I think it's important for us to have a rule that if a system is really an AI bot, it ought to be labeled as such. 'AI inside.' It shouldn't pretend to be a person. It's bad enough to have a person calling you and harassing you, or emailing you. What if they're bots? An army of bots constantly haranguing you - that's terrible.
In general, I think writing characters, no one is 100 percent good or bad, and certainly, the bad characters never think they're bad themselves. Even the worst characters don't feel like they're bad guys on the inside.
Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.
AI's ability to recognize visual categories and images is now pretty close to what human beings can manage, and probably better than a lot of people's, actually. AI can have more knowledge of detailed categories, like animals and so on.
I believe in the future of AI changing the world. The question is, who is changing AI? It is really important to bring diverse groups of students and future leaders into the development of AI.
Google or other search engines are examples of AI, and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.
The AI technology will keep you out of harm's way. That is why we believe in an AI car that drives for you.
Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
AI might be a powerful technology, but things won't get better simply by adding AI.
AI will allow the soldier to act and think much more quickly. Whoever gets to AI first, I believe, will have dominance for many years afterward.
I am looking into quite a few ideas in parallel and exploring new AI businesses that I can build. One thing that excites me is finding ways to support the global AI community so that people everywhere can access the knowledge and tools that they need to make AI transformations.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.
I will continue my work to shepherd in this important societal change... In addition to working on AI myself, I will also explore new ways to support all of you in the global AI community so that we can all work together to bring this AI-powered society to fruition.