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The Ten Myths of Innovation: the best summary

The Ten Myths of Innovation: the best summary
I wrote the bestselling book The Myths of Innovation to share the truths everyone should know about how big ideas really change the world. Far too much of what we know about creativity isn’t based on facts at all, and my mission is to change this. Since its publication I’ve seen bloggers summarize the book into simple lists (or cheezy videos), but here’s a version written by my own hand. You can also see my compilation of 177 innovation myths others have written about. The book was heavily researched with 100s of footnotes and references, but here’s the tightest summation: The myth of epiphany. If you liked this summary, please get the book.

teh_aimee : Hubbub at #swwlg :)... Introduction from the Founding Co-Chairs | Partnership on Artificial Intelligence to Benefit People and Society We are at an inflection point in the development and application of AI technologies. The upswing in AI competencies, fueled by data, computation, and advances in algorithms for machine learning, perception, planning, and natural language, promise great value to people and society. However, with successes come new concerns and challenges based on the effects of those technologies on people’s lives. On another front, while AI promises new capabilities and efficiencies, the advent of these new technologies has raised understandable questions about potential disruptions to the nature and distribution of jobs. We designed the Partnership on AI, in part, so that we can invest more attention and effort on harnessing AI to contribute to solutions for some of humanity’s most challenging problems, including making advances in health and wellbeing, transportation, education, and the sciences. — Eric Horvitz and Mustafa Suleyman Founding Co-Chairs

DownLinc : Nice job @teh_aimee pitching... Scientists and Stakeholders in Geneva for Good Artificial Intelligence The importance of artificial intelligence (AI) technology does not need to be re-emphasized. However, while new technologies have historically been shaped by the market, society needs to pro-actively contemplate AI regulation — simply because the technology’s social impact may otherwise quickly grow beyond our control. To address such pressing issues, the International Telecommunication Union (ITU) and the XPRIZE Foundation, in partnership with concerned UN agencies, organized the “AI for Good Global Summit,” held June 7–9 in Geneva, Switzerland. The discussions convened around the topic of “How can we make AI an effective, socially good tool”? To Start, We First Need to Bridge Gaps AI technology is not the most self-explanatory thing in the world. In addition to bridging the gap in understanding, there is also the challenge of aligning end-goals for AI technology. Asymmetrical information is a serious problem, especially when it comes to planning AI governance.

| MixTape by Atomic Droplet TensorFlow and Monetizing Intellectual Property Ten years ago Bill Gates suggested that open source software was the province of “modern-day sort of communists” whose views on intellectual property were hopelessly outdated: The idea that the United States has led in creating companies, creating jobs, because we’ve had the best intellectual property system — there’s no doubt about that in my mind, and when people say they want to be the most competitive economy, they’ve got to have the incentive system. Intellectual property is the incentive system for the products of the future. Gates’ perspective was understandable: he had built Microsoft into the biggest company in technology and one of the biggest in the world by, for all intents and purposes, selling licenses to text. The Open-Sourcing of TensorFlow Microsoft is still a big company — their market cap was $427 billion at yesterday’s market close — but an even bigger company today is Alphabet ($506 billion), which has a decidedly different approach: Differentiating Software

teh_aimee : Good Good Wonderful at #swwlg,... Google’s Sidewalk Labs signs deal for ‘smart city’ makeover of Toronto’s waterfront - The Globe and Mail A unit of Google's parent company, devoted to urban innovation, has signed a deal to map out a new kind of neighbourhood on Toronto's waterfront that could demonstrate how data-driven technology can improve the quality of city life. On Tuesday, Sidewalk Labs, a division of Alphabet Inc., and the government agency Waterfront Toronto announced a partnership in which Sidewalk initially will invest $50-million (U.S.) in a year-long planning process for Quayside, a 12-acre district on the waterfront, and the company has signalled its intentions to pursue a much larger area. This is the first such project for Alphabet, and for Sidewalk Labs. If the initiative proceeds, it would include at least 3.3 million square feet of residential, office and commercial space, including a new headquarters for Google Canada, in a district that would be a test bed for the combination of technology and urbanism. Story continues below advertisement That place, in 2017, is in Toronto. Mr. Mr. Mr. (Return to top)

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