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On Human curation and algorithms
Human curation will always win.
Why?
Because humans are wired for the story, and curation is a specific type of storytelling.
Because humans have ‘taste’ and taste is a great way to align interests. Find someone whose taste you admire and chances are that what they will lead you to new things as they share their influences, inspirations, and work (and so help you improve your taste).
Because humans are the ultimate validators of what is useful and helpful to humans: there is no more powerful recommendation than someone you know and trust saying “this worked for me”, or “this is good” because they have tried or applied it in the real world.
We have mischaracterised the early, more successful versions of the algorithms that powered our feeds and filtered our searches: we fetishised them as the work of machines. But the most successful algorithms were not machine curation but rather machines detecting and amplifying human signals at a scale that most humans could no longer operate at. As scale increases, the skill and dedication required to process information and keep it accessible increases. Case-in-point: Librarians (especially research librarians). Eventually something like Google Pagerank arrives, but the signals for the algorithm are still essentially proxies for detecting and amplifying human value and curation.
But now the scale has changed again.
When all content is viewed as a fungible commodity …
When human edification, education, and entertainment are flattened into a single metric: engagement …
When generative large language models are capable of auto-completing entire articles instead of merely words or sentences, and output homogenous reductions and remixes of what already exists without any new insight, context, or validation against reality …
When there is no human value, no human creation in the production of vast amounts of ‘content’ …
When the humans who do create content make it primarily as an offering to the algorithm in hopes that it will bless them with audience/engagement/cash …
When those who control and (hope to) profit from the infrastructure of attention no longer value or respect the humans they claim to serve …
… then there is no human signal left to find and amplify, and there is no ‘taste’ to discover or develop, and the algorithms eat themselves, and all the while those who profit from those algorithms scream at us, “Are you not
entertainedengaged‽”The algorithms were always at their best as utilities to help you find your humans.
Humans will always be
- the best recommenders
- the best discovery services
- the best curators
- the best at developing ‘taste’
There is still a human-curated web out there under all the noise. It is more human and humane in both pace and scale. Opt-in!
Go find your humans!
Add their RSS feeds to your feed reader. Subscribe to their newsletters. Follow them in the Fediverse. Curate your inputs. Share wholeheartedly.
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Invisible tools
See also: Not invented here
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Tech fashion
I have been thinking a lot lately about applying pace layers to technology, particularly in the current climate of hype, where everything is declared a breakthrough (probably because slow, incremental progress toward stable, usable platforms is too ‘boring’)
Bjarnsason provides another example of software moving at the speed of fashion when its users need it to move slower, be more reliable, to learn from fashion (and either adopt or reject as appropriate) rather than to be fashion.
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Stop and simply be
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Writing for humans, by humans
A ‘captive’ audience of willing—paying, even!—subscribers means there is less pressure to play the SEO game. This doesn’t mean titles, subject lines, and headings don’t have to be well written, just that they don’t have to be keyword-stuffed—written for humans, not The Algorithm.
More entries can be found in the archive.