How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
1.9x burst in 2024 Q3?
Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
Twitter appears in 24 chunks across 21 episodes, from 2024-02-05 to 2026-03-23.
Its densest episode is Bits and Bobs 4/15/24 (2024-04-15), with 2 observations on this topic.
Semantically it travels with Simon Willison, Facebook, and ai generated, while by chunk count it sits between duct tape and broken glass; its yearly rank moved from #25 in 2024 to #49 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2024-02-05 to 2026-03-23Mean1.1 per episodePeak2 on 2024-04-15
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 24 observations sorted from latest to earliest.
Today on Twitter, people doing cool things with LLMs share screenshots, not running links.
That's because there's no good way to distribute it.
If you link to a hoste...
A thought-provoking old Twitter thread from my friend Ben Mathes. (A lightly edited version of the thread follows)
"2 key ingredients behind every good situation I've ever been in: ...
Blockchains, Twitter Threads, and improv scenes all have something in common.
Each one has a kind of "yes, and" logic to it.
For each, the participants are all making int...