I did not take photos of myself, was not filtered, and had no idea what I looked like as a bunny rabbit, puppy, or unicorn. I had to buy film, load it in a camera, carry it around, find something worth shooting, get the film developed, and then pick up the prints. I only had 36 shots so each one mattered; I was constantly forced to ask myself, “Do I actually want a photo of this?”
I made a clock!
Analog clocks are surprisingly hard for kids to read and require higher cognitive processing (it’s even a common test for dementia). I wanted a clock that my young kids could read and couldn’t find one that was both useful and beautiful, so I made one. pic.twitter.com/TiPcZKNWpM
— Andrew (@asallen) March 4, 2020
AirPods are designed to last about 18 months as they start holding less and less of a charge. They can’t be repaired, thrown out or recycled. Instead, the AirPods sit in your drawer forever.
We need to rethink the relation between our data and the services that use it.
- The cloud cripples your data. AI needs all your data in one place. On-device instead of cloud. You stay in control.
- Circle of Knowledge – All apps in the same room. Apps in the circle can use each other’s data. Open data types. No more sandbox. On-device AI through federated learning. Apps need to contribute to participate.
- Data Permits – Treat data like money. Encrypted storage through cloud providers. Know what’s at stake when sharing data. On-device as the default allows for detailed permits. Transparency leads to trust and confidence.
- Profile – A map of yourself. Interests. System-wide for apps in the circle. Spatial interface. Evolves to learn our values, habits, desires. Apps know the context. Foundation for understanding beyond impulsive engagement.
- Transparency – Siri as the face of AI. Transparency is most useful in context. Siri should be accountable. Through voice and inline