Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, Bloomberg, CNBC, Discovery, RT, Viacom, and WIRED, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Aon, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.
WHY THIS MATTERS IN BRIEF
A basic version of the “world’s most advanced, and dangerous, fake news generator” is now online for you to try for yourself.
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This spring, the Elon Musk founded AI research lab OpenAI made a splash with an Artificial Intelligence (AI) system that generates text – a system that was so good at generating convincing and realistic text, such as articles, poems, and Fake News that the secrets behind how it works were deemed “too dangerous to release.”
Now though, a couple of months on, the public has a chance to give it a try, at least, a limited and dumbed version of it, and I’d strongly suggest you give it a whirl like Ollie, an English teacher in the UK recently did when I showed it off to teachers at a school near Reading during one of my Future of Education presentations.
Initially, OpenAI released an extremely restricted version of the system, citing concerns that it’d be abused and now they’ve released a more powerful version, although still significantly limited compared to the whole thing, and you can check it out for yourself.
The way it works is amazingly simple. A user gives the system, called GPT-2, a prompt — a few words, a snippet of text, a passage from an article, what have you. The system has been trained, on data drawn from the internet, to “predict” the next words of the passage — meaning the AI will turn your prompt into a news article, a short story, or a poem.
The results can be quite sophisticated. When I tested it, I fed GPT-2 the beginnings of stories about snowstorms in the Northwest, about college students, and about GPT-2 itself. The system then took it from there, inventing imaginary scientists to quote and imaginary organizations to cite, and it even enthused about the rapid progress of AI.
OpenAI initially decided not to release the full system to the public, out of fears it could be used by malicious actors to swamp us all with fake news. Instead, so instead they released smaller and less capable versions — a staggered rollout that OpenAI hopes will allow researchers to explore the system and learn from it, while still keeping the potential risks at bay.
AI is getting more sophisticated — and that’s a big deal. It has the potential to assist us in tackling some of the biggest problems of our day, from drug development to clean energy. But researchers worry it can have unintended consequences, increase inequality, and, when systems get powerful enough, even pose real danger. We’re still figuring out how to balance AI’s benefits against its potential hazards.