What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
The resounding win by a Google artificial intelligence program over a champion in the complex board game Go this month was a statement -- not so much to professional game players as to Google's competitors. Many of the tech industry's biggest companies, like Amazon, Google, IBM and Microsoft, are jockeying to become the go-to company for A.I. In the industry's lingo, the companies are engaged in a "platform war." A platform, in technology, is essentially a piece of software that other companies build on and that consumers cannot do without. Become the platform and huge profits will follow.
Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
By all accounts, 2016 has been an extraordinary year for Silicon Valley. Not only have the technology behemoths mustered a growing influence on Capitol Hill, their sheer market capitalization also testifies to one undeniable fact: They are the ones who change the world. The tech industry's missions are unapologetic and filled with passion. Their corporate myths are often wrapped up in their early days as startups. That some awkward twenty-year-old could turn their social ineptness into their biggest advantage and build a global enterprise from their garage is the highest expression of the American dream.