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title: ThinkNet
emoji: 🧠
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 6.20.0
python_version: 3.10
app_file: app.py
pinned: false
---
# ThinkNet
### Founded & Led by Naksh Gupta
**Building open-source AI systems and exploring the path toward intelligent, world-aware machines.**
## 🌍 Our Vision
ThinkNet aims to explore and build the next generation of AI — 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.**
Our long-term direction spans:
**LLMs → Multimodal AI → World Models → Embodied AI → Intelligent Agents**
## 🧠 Our Current Stack
We work across:
* **Large Language Models** — Transformers, pre-training, fine-tuning, SFT & LoRA
* **Generative AI** — Diffusion Models & multimodal generation
* **Computer Vision** — CNNs, Vision Transformers, detection, segmentation & perception
* **World Models** — JEPA, latent-state prediction & action-conditioned prediction
* **Embodied AI** — perception, planning, control & robotics
* **AI Agents** — tool use, RAG, LangGraph & agentic systems
* **ML Engineering** — PyTorch, TensorFlow, Hugging Face, FastAPI & modern AI infrastructure
## 🚀 What We're Working On
### 🧠 ThinkNet LLM Series
Developing increasingly capable small language models, with a focus on **efficient training, high-quality data and open research**.
**Upcoming:** ThinkNet LLMs in the **100M–250M+ parameter range**.
### 🌍 ThinkNet World Models
Researching **JEPA-style representation learning and world models** that can learn how the environment changes over time.
Current direction:
`Observation → Latent State → Action → Predicted Future State`
### 🤖 ThinkNet Embodied AI
Exploring systems that connect perception with action:
`Vision → World Model → Planning → Control → Action`
The long-term goal is to build AI that can move beyond screens and **interact with the physical world.**
### 👁️ Vision & Multimodal Models
Working toward models capable of understanding:
**Images • Video • Text • Audio • Physical environments**
## 🔬 Upcoming Research
Our roadmap includes experiments and models around:
* **ThinkNet LLM**
* **ThinkNet Vision**
* **ThinkNet Multimodal**
* **ThinkNet World Model**
* **ThinkNet Embodied AI**
* **ThinkNet Agent**
These projects are developed incrementally through **open-source datasets, experiments, models and research implementations**.
---
## 🛠️ Our Philosophy
**Learn → Build → Experiment → Open Source → Iterate**
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.**
### ThinkNet
**Building intelligence. Exploring the world. Open-sourcing the journey.**
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