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River Rider
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RiverRider
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webxos's profile picture
branikita's profile picture
ShahzebKhoso's profile picture
23 followers
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25 following
Space-Bacon
AI & ML interests
Computational semiotics is empirically proven. It takes three to tango 💃🪩🕺
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posted
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2 days ago
🔮 Gemma-4-31B-it SRT-Sunstone A read-out that reads images — trained only on words. A 12.3M side-channel head on a frozen google/gemma-4-31B-it, taught meaning from text alone — to separate discourse communities in the residual stream. It never saw a single picture in training. Hand it a picture and it names what the image means, with zero image training. Cross-modal transfer. Give it a photo and it lands next to the right words: bicycle → bicycle, rose → flower, dog → pet. It groups images by what they mean, not how they look: image→referent kNN 0.64 against chance 0.10. Why this is a semiotic read-out, not an image classifier. A classifier is trained on labelled images and learns a fixed map from pixels to a closed label set; it only knows the labels it was shown. This read-out is different in kind. It never saw an image in training — it was trained only on text, to separate discourse communities in the residual stream of a frozen gemma-4-31B. It can interpret a picture because gemma-4 already fuses image and word into one representational stream, and the read-out taps the shared interpretant: the meaning a sign carries, whatever form it arrived in. So it does not classify the image. It tells you what the image means to a system that learned meaning from words — a transfer across modality, from a head that was never cross-trained. That is the result. Each picture gets two readings: the words it means — the load-bearing evidence — and the discourse it evokes, the nearest of 35 communities it learned from text. Read the second as a flavour, not a category: cars into the automotive community, deer and mushrooms into gardening, cats and dogs into the cozy-domestic communities. Never a class label. Scored offline through a frozen google/gemma-4-31B-it (62.5 GB, too large to run live) Try it: https://huggingface.co/spaces/RiverRider/srt-sunstone Model: https://huggingface.co/RiverRider/Gemma-4-31B-it-SRT-Sunstone Code: https://github.com/space-bacon/SRT
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RiverRider/Gemma-4-31B-it-SRT-Sunstone
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2 days ago
RiverRider/Gemma-4-31B-it-SRT-Sunstone
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RiverRider/Gemma-4-31B-it-SRT-Sunstone
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2 days ago
RiverRider/srt-adapter-gptoss20b
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4 days ago
RiverRider/srt-nla-av-gptoss20b
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4 days ago
RiverRider/srt-nla-av-gemma2-2b-v1
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18 days ago
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RiverRider/srt-adapter-qwen3-235b
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18 days ago
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RiverRider/srt-nla-av-llama32-3b
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RiverRider/srt-nla-av-v1
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18 days ago
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RiverRider/zooL4nD3r-v0.1
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18 days ago
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RiverRider/srt-adapter-v22c_a050
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18 days ago
RiverRider/srt-adapter-v1.0
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18 days ago
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137
RiverRider/srt-adapter-v21a
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18 days ago
RiverRider/srt-adapter-v18
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18 days ago
RiverRider/srt-adapter-v8a
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