How a writing system went from being a dream (literally) to a reality, codified in unicode.
An opinionated blog about writing. I’ve subscribed in my feed reader.
Whatever the merit of the scientific aspirations originally encompassed by the term “artificial intelligence,” it’s a phrase that now functions in the vernacular primarily to obfuscate, alienate, and glamorize.
Do “cloud” next!
I’m glad that Heydon has answered this question once and for all.
I’m sure that’ll be the end of it now.
This is a great combination of rigorous research and great data visualisation.
A good post by Andy on “the language of business,” which is most cases turns out to be numbers, numbers, numbers.
While it seems reasonable and fair to expect a modicum of self-awareness of why you’re employed and what business value you drive in the the context of the work you do, sometimes the incessant self-flagellation required to justify and explain this to those who hired you may be a clue to a much deeper and more troubling question at the heart of the organisation you work for.
This pairs nicely with the Clearleft podcast episode on measuring design.
As part of my content buddying process, I am henceforth going to typeset all drafts in this font. I just tested it with this sentence:
We can leverage the synergy of a rich immersive user paradigm shift.
The discussions around data policy still feel like they are framing data as oil - as a vast, passive resource that either needs to be exploited or protected. But this data isn’t dead fish from millions of years ago - it’s the thoughts, emotions and behaviours of over a third of the world’s population, the largest record of human thought and activity ever collected. It’s not oil, it’s history. It’s people. It’s us.
This old article from Chris is evergreen. There’s been some recent discussion of calling these words “downplayers”, which I kind of like. Whatever they are, try not to use them in documentation.
Languages, platforms, and systems that break from the norms of computing.
This is easily my favourite use of a machine learning algorithm.
These definitions work for me:
This explains rubber ducking.
Speaking out loud is not only a medium of communication, but a technology of thinking: it encourages the formation and processing of thoughts.
Tess calls for more precise language—like “site” and “origin”—when talking about browsers and resources:
When talking about web features with security or privacy impact, folks often talk about “first parties” and “third parties”. Everyone sort of knows what we mean when we use these terms, but it turns out that we often mean different things, and what we each think these terms mean usually doesn’t map cleanly onto the technical mechanisms browsers actually use to distinguish different actors for security or privacy purposes.
They came for the writers of car brochures, but I wasn’t a writer of car brochures, so I said nothing.