Matthias Ott – Painting With the Web – beyond tellerrand Düsseldorf 20025 - YouTube
A great talk by Matthias on what you can do with web standards today!
Design in the Era of the Algorithm | Big Medium
The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:
The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.
Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.
- Favor accuracy over speed
- Allow for ambiguity
- Add human judgment
- Advocate sunshine
- Embrace multiple systems
- Make it easy to contribute (accurate) data
- Root out bias and bad assumptions
- Give people control over their data
- Be loyal to the user
- Take responsibility
Related links
Benjamin Parry~ Writing ~ Marking the homework of a twelve year old ~ @benjaminparry
Don’t get me wrong, there are some features under the mislabeled bracket of AI that have made a huge impact and improvement to my process. Audio transcription has been an absolute game-changer to research analysis, reimbursing me hours of time to focus on the deep thinking work. This is a perfect example of a problem seeking a solution, not the other way around. The latest wave of features feel a lot like because we can rather than we should, because.
Squish Meets Structure: Designing with Language Models
The slides and transcript from a great talk by Maggie Appleton, including this perfect description of the vibes we get from large language models:
It feels like they’re either geniuses playing dumb or dumb machines playing genius, but we don’t know which.
LukeW | Ask LukeW: New Ways into Web Content
I like how Luke is using a large language model to make a chat interface for his own content.
This is the exact opposite of how grifters are selling the benefits of machine learning (“Generate copious amounts of new content instantly!”) and instead builds on over twenty years of thoughtful human-made writing.
ongoing by Tim Bray · The LLM Problem
It doesn’t bother me much that bleeding-edge ML technology sometimes gets things wrong. It bothers me a lot when it gives no warnings, cites no sources, and provides no confidence interval.
Yes! Like I said:
Expose the wires. Show the workings-out.
Related posts
Handing back control
An emergent theme at An Event Apart Seattle 2019.
Mobile Planet by Luke Wroblewski
A presentation at An Event Apart Seattle 2019.
Designing Progressive Web Apps by Jason Grigsby
A presentation at An Event Apart Seattle 2018.
Unsaid
I listened to a day of talks on AI at UX Brighton, and I came away disappointed by what wasn’t mentioned.
Steam
“I wish to God these hot takes had been reckoned by steam!”