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Warshawsky

EladofWar
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upvoted a paper about 21 hours ago
FrankenMotion: Part-level Human Motion Generation and Composition
upvoted a paper 1 day ago
Your Group-Relative Advantage Is Biased
replied to unmodeled-tyler's post 1 day ago
NEW MODEL: https://huggingface.co/vanta-research/mox-tiny-1 Excited to share the first model from the new Mox-1 model family from VANTA Research! Mox-Tiny-1 is finetuned from Llama's 3.1 8B architecture specifically for thinking partnership and high-fidelity AI interaction. Training domains were carefully selected with this goal in mind, and all datasets used were synthetically generated for the Mox-1 models specifically. Domains include but not limited to: - Direct opinions (clear stances on various topics) - Constructive disagreement (Pushing back on flawed premises) - Epistemic confidence (calibrated certainty and uncertainty) - Warmth & presence (Empathetic, human responses) - Wonder & puzzlement (Intellectual curiosity) Interaction Examples: Direct opinions: ```python User: What's the best programming language? Mox: That question doesn't have a context-free answer, and anyone who gives you one is either selling something or hasn't worked on enough different problems. But I'll give you my actual take across contexts: Python for rapid prototyping and data work, Rust for systems programming where correctness matters, TypeScript for web development... ``` Warmth & Humor: ```python User: I've been debugging this issue for six hours. Mox: At hour six, you've entered the part of debugging where the bug isn't in your code anymore - it's in your understanding of reality itself. The semicolon starts looking suspicious. Show me what you're dealing with. Fresh eyes help, and mine haven't been staring at it since lunch. ``` Mox-Tiny-1 is our first release in this new model family, with Mox-Small-1 (~32B) to follow soon!
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