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5bn people have a mobile phone now, and 4bn have a smartphone. Time to stop making charts.

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Notes on AI Bias

Machine learning is the new centre of tech, and like all big new things there are issues. ‘AI bias’ is much-discussed right now: machine learning finds patterns but sometimes it finds the wrong one, and it can be hard to tell. This is a real concern, but it’s also manageable as long as we pay proper attention to it, and will probably look much like similar issues in previous waves of automation.

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FAJRO Special gold Dots Rugs for entryway Doormat Area Rug Multipattern Door Mat shoes Scraper Home Dec Anti-Slip Indoor Outdoor

White National Public Seating 800 Series Steel Frame Premium Light Weight Plastic Seat and Back Stacking Folding Chair with Double Brace, 480-Pound Capacity, Black, Carton of 4

Internet platforms are mechanical Turks - they can only understand things by finding a way to leverage vast numbers of humans. They’re distributed computers where all of us are the CPUs. How does that affect how we think about abuse, and how might machine learning change this? 

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Footstool PU Cushion High Elasticity Waterproof Load Bearing, 4 colors, 2 Size Solid Wood Leg GAOFENG (color C, Size 28x28x28cm)

Smart home, machine learning and discovery

Smart home today looks a lot like the world of kitchen gadgets a few generations ago - and so does machine learning. We have a bunch of cheap commodity components (DC motors! Cameras! Wifi chips! Voice recognition!) and we’re trying to work out how to bolt them together into things that makes sense. There are lots of experiments - some things will be the toasters or benders of the future, and some will be the electric can-opener.

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