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| title: README | |
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| # United Lab | |
| > **Reinventing AI based on human anatomy with 1-bit self-organizing substrates and open-weights for the global community.** | |
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| ### 🌟 About Us | |
| We are a non-profit research and engineering collective dedicated to the research, development, and democratization of next-generation artificial intelligence. We focus on moving beyond standard dense floating-point transformers by building **1-bit self-organizing attractor engines**, zero-float SIMD runtimes, and accessible open-source models. | |
| By combining continuous local plasticity (STDP), homeostatic density regulation, and time-multiplexed silicon execution, we aim to deliver high-capacity, low-latency, and unrestricted AI substrates that run efficiently on standard consumer hardware. | |
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| ### 🛠️ Technical Focus & Core Research | |
| Our research centers on replacing brute-force matrix multiplication with biologically inspired, hardware-native bitwise graph dynamics: | |
| * **1-Bit Self-Organizing Attractor Substrates:** Replacing standard floating-point backpropagation with binary directed graphs updated dynamically via Spike-Timing-Dependent Plasticity (STDP) and bitwise `XNOR` + `POPCNT` SIMD evaluation kernels. | |
| * **Homeostatic Density Regulation:** Engineering adaptive thresholding mechanisms that lock active node firing density within optimal sparse regimes, preventing network seizure (activity saturation) and activity collapse. | |
| * **Time-Multiplexed Clock Scaling:** Leveraging high CPU/GPU clock frequencies (MHz/GHz) to scale execution throughput on compact, L3-cache-resident graphs (100M to 32B 1-bit edges) to achieve human-level state transition capacity without hitches from DRAM bandwidth bottlenecks. | |
| * **Frequency-Thresholded Subword Readouts:** Implementing multi-step state history concatenation mapped onto subword BPE vocabularies via frequency-thresholded linear decoding trees. | |
| * **Zero-Copy Rust Subsystems:** Developing high-performance, memory-aligned Rust runtimes featuring zero-heap allocation hot loops, strict `cargo clippy` standards, and atomic `.1bit` binary state persistence. | |
| * **Uncensored & Open Foundations:** Committing to raw model capabilities, transparent binary state checkpoints, and unconstrained open-weight foundations free of arbitrary alignment restrictions. | |
| --- | |
| ### 🚀 Featured Repositories & Substrates | |
| | Repository / Model | Type / Focus | Core Architecture | Links | | |
| | :--- | :--- | :--- | :--- | | |
| | **Engine-1Bit-Core** | Rust Substrate Runtime | Zero-Float SIMD Bitwise Attractor Core (`.1bit`) | [Code](#) | | |
| | **Altitude-V1-1B-Base** | Multimodal Audio/Video/Text | Edge-Adopted Multimodal Transformer / Hybrid Substrate | [Model](https://huggingface.co/T-E-A/Altitude-V1-2B-Base) | | |
| | **Altitude-V1-2B-Base** | Balanced Multimodal Model | High-Capacity Multimodal Audio/Video/Text Architecture | [Model](https://huggingface.co/T-E-A/Altitude-V1-6B-Base) | | |
| | **Altitude-V1-1B-R** | Extended Knowledge Model | Refined Knowledge Distillation & Attractor Memory Alignment | [Model](https://huggingface.co/T-E-A/Altitude-V1-2B-R) | | |
| | **Altitude-V1-2B-R** | Extended Knowledge Model | Deep Context & High-Reasoning Variant | [Model](https://huggingface.co/T-E-A/Altitude-V1-6B-R) | | |
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| ### 🤝 How to Support & Collaborate | |
| As an open non-profit research team, our progress is driven by community collaboration and distributed engineering effort. Here is how you can get involved: | |
| * **Code & Algorithmic Contributions:** Help optimize our Rust bitwise kernels, design scale-free graph wiring routines, or refine readout decoding layers. Join our team on [Discord](https://discord.gg/MdvFfe69). | |
| * **Compute & Hardware Testing:** Help benchmark baseline training passes, run continuous dataset streaming experiments, or donate portable CPU/GPU compute time for our next open substrate release. | |
| --- | |
| ### 📬 Connect With Us | |
| * **Discord / Community:** [Join the United Lab](https://discord.gg/MdvFfe69) | |
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| <p align="center"> | |
| <sub>© 2026 United Lab. Distributed under the Apache 2.0 Open Source License.</sub> | |
| </p> |