---
title: ThinkNet
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sdk_version: 6.20.0
python_version: 3.10
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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**.

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## 🛠️ 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.**