H63-83CM A DYR Bar Chair Dining Chair high Stool Lift Mosaic color Piano Lacquer Swivel Chair (color A, Size H63-83CM)

Air Port Screen Dolphin Illustration W96 x L288 Reduce Noise Highprecision Curtains for bedrooms Living Rooms Kitchens etc.

FAJRO color Break Line Light Polyester Entry Way Doormat Area Rug Multipattern Door Mat Floor Mats shoes Scraper Home Dec Anti-Slip Indoor Outdoor

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

Panda AINIYF Cute Cartoon Shape Kids Sofa Chair Soft Plush Toddler Armchair Toddler Furniture for Living Room Bedroom 50x50x45cm(20x20x17.7inches) (color Panda)

Learning pad W35 x L59 Zen Garden,Lush Garden Tropical Plants and Wooden Path Tranquility Harmony Theme,Green Pale Brown Non-Slip Door Mat Carpet with INCH rnlkyb5043-Furniture

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.

Read More
Qi_Hallway Furniture Standing Coat Rack Wooden Hooks Coat Racks Free Standing Coat and Hat Stand Tree Clothes Stand Entryway Hallway Coat Hanger Stand Brown Standing Coat Racks (color Natural)

Doormats Weird Hand-Drawn of A Man As Nature Symbol with Wavy Patterns Saving Planet Modern Home Decoration 55 x63

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? 

Read More
ZH1 Umbrella Stands Umbrella Stand Umbrella Rack,Free Standing Holder for Canes Walking Sticks Umbrellas,Hallway Furniture, 12.6x24inch (Diameter x Height) (color White)

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.

Read More