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---
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title: README
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emoji: π
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sdk: static
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pinned: false
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---
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# ThinkNet
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### Founded & Led by Naksh Gupta
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**Building open-source AI systems and exploring the path toward intelligent, world-aware machines.**
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## π Our Vision
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ThinkNet aims to explore and build the next generation of AI β systems that don't just generate text or recognize images, but can **understand the world, learn representations, predict consequences, reason about actions, and eventually interact with the physical world.**
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Our long-term direction spans:
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**LLMs β Multimodal AI β World Models β Embodied AI β Intelligent Agents**
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## π§ Our Current Stack
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We work across:
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* **Large Language Models** β Transformers, pre-training, fine-tuning, SFT & LoRA
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* **Generative AI** β Diffusion Models & multimodal generation
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* **Computer Vision** β CNNs, Vision Transformers, detection, segmentation & perception
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* **World Models** β JEPA, latent-state prediction & action-conditioned prediction
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* **Embodied AI** β perception, planning, control & robotics
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* **AI Agents** β tool use, RAG, LangGraph & agentic systems
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* **ML Engineering** β PyTorch, TensorFlow, Hugging Face, FastAPI & modern AI infrastructure
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## π What We're Working On
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### π§ ThinkNet LLM Series
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Developing increasingly capable small language models, with a focus on **efficient training, high-quality data and open research**.
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**Upcoming:** ThinkNet LLMs in the **100Mβ250M+ parameter range**.
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### π ThinkNet World Models
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Researching **JEPA-style representation learning and world models** that can learn how the environment changes over time.
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Current direction:
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`Observation β Latent State β Action β Predicted Future State`
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### π€ ThinkNet Embodied AI
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Exploring systems that connect perception with action:
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`Vision β World Model β Planning β Control β Action`
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The long-term goal is to build AI that can move beyond screens and **interact with the physical world.**
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### ποΈ Vision & Multimodal Models
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Working toward models capable of understanding:
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**Images β’ Video β’ Text β’ Audio β’ Physical environments**
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## π¬ Upcoming Research
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Our roadmap includes experiments and models around:
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* **ThinkNet LLM**
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* **ThinkNet Vision**
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* **ThinkNet Multimodal**
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* **ThinkNet World Model**
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* **ThinkNet Embodied AI**
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* **ThinkNet Agent**
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These projects are developed incrementally through **open-source datasets, experiments, models and research implementations**.
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---
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## π οΈ Our Philosophy
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**Learn β Build β Experiment β Open Source β Iterate**
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We believe meaningful AI progress comes not only from scaling models, but from discovering **better representations, learning objectives, architectures and ways for machines to understand and interact with the world.**
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### ThinkNet
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**Building intelligence. Exploring the world. Open-sourcing the journey.**
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