Will There Be An AI Productivity Boom?

  • “Many of the canonical superstar firms such as Google and Facebook employ relatively few workers compared to their market capitalization” because “their market value is based on intellectual property and a cadre of highly-skilled workers.”
  • How will AI contribute to a boom? Perhaps it will happen indirectly, a process of “trickle-down” productivity, as ordinary firms adopt the AI technologies provided by Google and Microsoft and Amazon in the cloud.”


50 Most Popular AI-Influencers of North America – Rakesh Nair

1. “Bob E Hayes Senior Director of Research and Analytics at Indigo Slate an Experience agency. A PhD in industrial-organizational psychology, his interests lies in Data Science, CX, Statistics and Machine Learning.

2. Kirk Borne Principal Data Scientist at Booz Allen Hamilton. Astrophysicist and Top Big Data Science and AI Influencer. 

3. Martin Ford Futurist and the author of three books on Artificial Intelligence, Robots and Automation. His new book is Architects of Intelligence. He is also the founder of a Silicon valley-based Software Development firm.

4. Adam Coates A Director at Apple. I received my PhD from Stanford University in 2012 and was the director of the Silicon Valley AI Lab at Baidu Research until September 2017, then an Operating Partner at Khosla Ventures until 2018.

5. Fei-Fei-Li Co-Director at Stanford’s Stanford Vision and Learning Lab (SVL), a Human-Centered AI Institute. Researcher in AI, Computer Vision, AI+Healthcare.”


Facebook’s new artificial intelligence can help you dress more fashionably

“Facebook might soon be able to improve your fashion sense.

The company is currently experimenting with AI to create an initiative (titled ‘Fashion ++’) which, rather than recommending entire overhauls of your outfit, would make small suggestions about what could be improved.”


The Facebook Portal Smart Speaker Is Back, Now With More AI

“Portal’s main feature when it first launched was person-tracking artificial intelligence that crops the video to keep everyone around the device in the frame, and can follow a specific person. Facebook executives say this AI technology is now more accurate, thanks to new tricks like using the color of a person’s clothes to distinguish them from others. They also say the device’s ability to track people’s body’s could one day be used to add interactive features, such as new videogames.”


For a more dangerous age, a delicious skewering of current AI

    • “NYU professor and entrepreneur Gary Marcus has been a relentless critic of modern deep learning forms of AI. He talked with ZDNet about what he hopes to accomplish with the book, Rebooting AI, and with his startup company, Robust.ai.
    • ‘The net effect of a tendency of many in the media to overreport technology results is that the public has come to believe that AI is much closer to being solved than it really is,’
    • Systems such as OpenAI’s massive natural language program, “GPT-2,” introduced this past February, are ‘pretty impressive but totally incoherent,’ he points out. 
    • ‘We are very optimistic about what AI could do, and we are depressed about how little has been accomplished,’
    • As a scholar and critic, and now an entrepreneur, Marcus is engaged in a debate that sometimes breaks out on Twitter with the luminaries who defend current AI. They include Facebook’s AI research director, Yann LeCun, and the University of Toronto professor Geoffrey Hinton who also works at Google’s Google Brain unit.”