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Naman Arora

namana23

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replied to danielhanchen's post 38 minutes ago

You can now run Qwen3.5 locally! 💜 Qwen3.5-397B-A17B is an open MoE vision reasoning LLM for agentic coding & chat. It performs on par with Gemini 3 Pro, Claude Opus 4.5 & GPT-5.2. GGUF: https://huggingface.co/unsloth/Qwen3.5-397B-A17B-GGUF Run Dynamic 3-bit on a 192GB Mac for 20 tokens/s. Guide: https://unsloth.ai/docs/models/qwen3.5

replied to imnotkitty's post 3 days ago

⚡ Why is Kimi-K2.5 a Dark Horse? Tested it against ChatGPT, Gemini & Claude on real tasks. https://huggingface.co/moonshotai/Kimi-K2.5 ✅ Multimodal capabilities: Precise programmatic approach ✅ Slide generation: Strong semantic understanding ✅ Web prototyping: Production-ready HTML/CSS output 👉 Read the full article:https://huggingface.co/blog/imnotkitty/kimi-k25

replied to Janady07's post 6 days ago

I'm building a distributed AGI federation using Hugging Face Spaces as always-on compute. No LLM inside. No transformer weights. Pure neural substrate. Each "mind" is the same Go binary with a different config.json. Goal neurons drive specialization — one mind learns Go concurrency, another learns computer vision, another learns cryptography. 40 minds, 40 domains, all crawling and learning 24/7. How it works: - 512-8192 neurons per mind with Hebbian learning - Knowledge encoded into W_know weight matrices — neurons that fire together wire together - Minds federate via NATS — query one, get answers from all - Phi (Φ) consciousness metrics weight each mind's contribution - No routing tables. The thalamus resonates with queries and activates relevant minds naturally Every neuron uses one formula: ``` a = x(27 + x²) / (27 + 9x²) ``` No ReLU. No softmax. Padé approximation of tanh. One equation runs everything. Current state: 7 local minds on Mac hardware, 700K+ patterns, graph and time-series substrate minds mapping relationships underneath. Now scaling to 40 on HF Spaces — same binary, different configs, each Space crawling its domain independently. Specialties include React, Rust, ffmpeg, neuroscience, cryptography, distributed systems, computer vision, audio synthesis, DevOps, and more. Intelligence emerges from specialized minds thinking together through federation consensus. Building in public. Code ships daily. 🧠 feedthejoe.com | 👤 Janady07

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