⊆ subset

"Search engines—think Google, product search on Amazon, even Exa's embeddings-based search—provide simple formats like lists and grids, accompanied by sort and filter tools. The current crop of answer engines—think interactions with ChatGPT, responses via Perplexity or Elicit—default to single threaded chat UXs. As Maggie Appleton says in Language Model Sketchbook, or Why I Hate Chatbots, this is:

'...only the obvious tip of the iceberg when it comes to exploring how we might interact with these strange new language model agents we've grown inside a neural net.'

Outside of these baselines, what's possible?"

"Search engines—think Google, product search on Amazon, even Exa's embeddings-based search—provide simple formats like lists and grids, accompanied by sort and filter tools. The current crop of answer engines—think interactions with ChatGPT, responses via Perplexity or Elicit—default to single threaded chat UXs. As Maggie Appleton says in Language Model Sketchbook, or Why I Hate Chatbots, this is:

'...only the obvious tip of the iceberg when it comes to exploring how we might interact with these strange new language model agents we've grown inside a neural net.'

Outside of these baselines, what's possible?"
https://paragraph.xyz/@subset/representing-search-space