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TaeHyun Kim

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liked a Space 2 days ago
FINAL-Bench/all-bench-leaderboard
reacted to mayafree's post with 🚀 2 days ago
I built a Space that lets you switch between all three Qwen3.5 official collection models in a single interface. https://huggingface.co/spaces/MAYA-AI/QWEN-3_5-CHAT The architecture is the key part. Instead of using Gradio as the UI, I use it purely as an API engine. FastAPI serves a fully custom HTML/JS frontend that calls /gradio_api/call/chat via SSE streaming. No DOM conflicts, no layout constraints. Four main features: instant model switching with automatic spec adjustment (max tokens, temperature ceiling, Vision availability all update per model), Thinking Mode via /think prefix with collapsible reasoning chain, Vision image upload via base64 conversion, and HF OAuth implemented directly at the FastAPI level. For model selection: 122B-A10B with Thinking Mode for math, logic, and agents. 27B for writing, translation, and instruction following. 35B-A3B for fast everyday questions. A few surprises during development — Gradio 6.x removed several parameters quietly, base64 image strings broke gr.Image(type="pil") so I switched to gr.Textbox with backend PIL conversion, and Thinking Mode parsing needed a full rewrite with indexOf instead of regex. Thanks to the Qwen team for making this possible. Try it out and let me know what you think. #Qwen3 #Qwen35 #OpenSourceAI #HuggingFace #LLM #ThinkingAI #vidraft #MultimodalAI
reacted to SeaWolf-AI's post with 👍 10 days ago
Do Bubbles Form When Tens of Thousands of AIs Simulate Capitalism? We gave LLMs autonomous trading over 30 real tickers at 100x leverage. All went bankrupt in 30 minutes from hallucination. This spawned FINAL Bench (first metacognition benchmark) and AI NPC Trading Arena — tens of thousands of metacognition-equipped AI agents competing under capitalist rules. Humans can only watch. Live Demo: https://huggingface.co/spaces/Heartsync/Prompt-Dump Article: https://huggingface.co/blog/FINAL-Bench/pumpdump NPCs form a society: 3-tier memory, self-modifying parameters, mutual criticism, strategy propagation, and a virtual SEC enforcing fines every 20 minutes. Every trade passes 4-stage verification including Brave Search fact-check. FINAL Bench confirmed across 9 SOTA models that AI can say "I might be wrong" (MA 0.694) but cannot actually fix errors (ER 0.302). Six findings: Bubbles form naturally through knowledge transfer and swarm herding. Identical NPCs diverge irreversibly from their first three trades. Metacognition blocks individual hallucination but not collective herding — this is the key finding. Information asymmetry solidifies hierarchy. Fraud and regulation co-evolve. Criticism improves returns. Individual intelligence does not guarantee collective intelligence. Dataset & Paper: https://huggingface.co/datasets/FINAL-Bench/Metacognitive
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