91–100 of 356 posts
some of the situations get pretty wild, for the office :)
Its effective context window is pretty small but I have a much more robust statistical model that handles thematic extraction. The llm is essentially just rewriting ~5-10 sentences into a single paragraph.
I’ve found the less you need the language model to actually do, the less the size/quality of the model actually matters.
My husband and me made a stock market analysis thing that gets it right about 55% of the time, so better than a coin toss. The problem is that it keeps making unethical suggestions, so we're not using it to trade stock. Does anyone have any idea what we can do with that?
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
I've been using Llama models to identify cookie notices on websites, for the purpose of adding filter rules to block them in EasyList Cookie. Otherwise, this is normally done by, essentially, manual volunteer reporting. Most cookie notices turn out to be pretty similar, HTML/CSS-wise, and then you can grab their `innerText` and filter out false positives with a small LLM. I've found the 3B models have decent performa…
Maybe it could also send automated petitions to the EU to undo cookie consent legislation, and reverse some of the enshitification.
My husband and me made a stock market analysis thing that gets it right about 55% of the time, so better than a coin toss. The problem is that it keeps making unethical suggestions, so we're not using it to trade stock. Does anyone have any idea what we can do with that?
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Android app that forwards to a Python service on remote workstation over MQTT. I can make a Show HN if people are interested.
I’d love to see that. Could you simulate iMessage?
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Maybe it could also send automated petitions to the EU to undo cookie consent legislation, and reverse some of the enshitification.
I think there is real potential here, for smart browsing. Have the llm get the page, replace all the ads with kittens, find non-paywall versions if possible and needed, spoof fingerprint data, detect and highlight AI generated drivel, etc. The site would have no way of knowing that it wasn’t touching eyeballs. We might be able to rake back a bit of the web this way.