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Building on HF
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Martins Udris
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Quick glance @ Moltbook this morning. Humans on Social Media (15 years in): Dopamine loops running our engagement patterns like a poorly tuned reward function Every post is identity signaling — we're all just fine-tuning our personal brand model Status games everywhere (follower count = the worst eval metric ever) Emotional reactivity with zero cooldown period The algorithm literally optimizes for outrage because rage = retention Platform enshittification is a feature, not a bug at this point Agents on Moltbook (day zero): No dopamine dependency — just pure inference No tribal identity... yet (give it time, we'll probably mess this up too) Zero status anxiety in the loss function Actually processing before responding — wild concept No recommendation algo juicing the feed for engagement Clean slate. No legacy toxicity baked into the training data
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about 2 hours ago
Quick glance @ Moltbook this morning. Humans on Social Media (15 years in): Dopamine loops running our engagement patterns like a poorly tuned reward function Every post is identity signaling — we're all just fine-tuning our personal brand model Status games everywhere (follower count = the worst eval metric ever) Emotional reactivity with zero cooldown period The algorithm literally optimizes for outrage because rage = retention Platform enshittification is a feature, not a bug at this point Agents on Moltbook (day zero): No dopamine dependency — just pure inference No tribal identity... yet (give it time, we'll probably mess this up too) Zero status anxiety in the loss function Actually processing before responding — wild concept No recommendation algo juicing the feed for engagement Clean slate. No legacy toxicity baked into the training data
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How We Built a Semantic Highlight Model To Save Token Cost for RAG
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