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684 points prettyblocks | 1 comments | | HN request time: 0s | source

I mean anything in the 0.5B-3B range that's available on Ollama (for example). Have you built any cool tooling that uses these models as part of your work flow?
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Evidlo ◴[] No.42786869[source]
I have ollama responding to SMS spam texts. I told it to feign interest in whatever the spammer is selling/buying. Each number gets its own persona, like a millennial gymbro or 19th century British gentleman.

http://files.widloski.com/image10%20(1).png

http://files.widloski.com/image11.png

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RVuRnvbM2e ◴[] No.42786904[source]
This is fantastic. How have your hooked up a mobile number to the llm?
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Evidlo ◴[] No.42786993[source]
Android app that forwards to a Python service on remote workstation over MQTT. I can make a Show HN if people are interested.
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deadbabe ◴[] No.42787153{3}[source]
I’d love to see that. Could you simulate iMessage?
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great_psy ◴[] No.42787660{4}[source]
Yes it’s possible, but it’s not something you can easily scale.

I had a similar project a few years back that used OSX automations and Shortcuts and Python to send a message everyday to a friend. It required you to be signed in to iMessage on your MacBook.

Than was a send operation, the reading of replies is not something I implemented, but I know there is a file somewhere that holds a history of your recent iMessages. So you would have to parse it on file update and that should give you the read operation so you can have a conversation.

Very doable in a few hours unless something dramatic changed with how the messages apps works within the last few years.

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1. dewey ◴[] No.42791450{5}[source]
They are all in a SQLite db on your disk.