Kimi K3: The 2.8T AI That Wakes Up Just 2% at a Time

Name: Kimi K3: The 2.8T AI That Wakes Up Just 2% at a Time
Uploaded: 2026-07-29T09:33:03.771Z
Duration: 15 min 1 s
Channel: Siraj Raval
Description: Siraj Raval analyzes Kimi K3, an open-weights AI model with 2.8 trillion parameters that efficiently activates only 2% of its capacity at a time. The video covers technical architecture, training, and implications of open-source frontier models for AI builders.

Siraj Raval29 July 2026Watch on YouTube

Part of series

Ep. 9 · Kimi K3 AI Model Review

Vergelijkende reviews en analyses van het Kimi K3-model met focus op codeervaardigheden, prestaties en prijsstelling ten opzichte van eerdere versies.

View the series

Description

Start with the free AI Creator Academy: https://fanvueaicreatoracademy.com/?utm_source=youtube&utm_medium=video&utm_campaign=SirajRaval Build your AI creator on Fanvue: https://www.fanvue.com This video is sponsored by Fanvue. Kimi K3 just went open-weights. In this video I break down what's actually inside it, run it myself, and show what a frontier model being free to download changes for builders. 0:00 Kimi K3’s 2.8 Trillion Parameter Paradox 0:47 What Is Kimi K3? 1:47 How Kimi K3 Uses Only 2% at a Time 4:20 How It Remembers 1 Million Tokens 6:39 Build an AI Creator Without Showing Your Face 7:50 How Moonshot Trained It Without Crashing 10:20 How Kimi Teaches Itself 11:39 Kimi K3’s Biggest Problems 13:28 The 4 Breakthroughs Explained 14:10 Why Open-Source AI Changes Everything 📄 Resources Kimi K3 technical report: https://arxiv.org/pdf/2607.24653 Kimi K3 weights + site: https://huggingface.co/moonshotai/Kimi-K3 🔔 Subscribe for more real-world AI builds: https://youtube.com/@SirajRaval 📬 Business inquiries: hello@sirajraval.com 📲 Follow X: https://x.com/sirajraval Instagram: https://instagram.com/sirajraval LinkedIn: https://linkedin.com/in/sirajraval #KimiK3 #AI #OpenSource

What you'll learn

Kimi K3 is an open-weights AI model with 2.8 trillion parameters that activates only 2% of its capacity at a time, making it highly efficient
The model can process up to 1 million tokens, meaning it can retain much longer contexts than conventional models
Moonshot trained Kimi K3 without crashes by applying innovative training methods
Open-source frontier models like Kimi K3 are now freely available for AI builders and create new possibilities
The model teaches itself through advanced learning mechanisms built into its technical architecture

Frequently asked questions

How can Kimi K3 work effectively while only activating 2% of its parameters at a time?

Kimi K3 uses an efficient architecture where only a small portion of its 2.8 trillion parameters are needed at any given time. This makes the model computationally advantageous and fast without requiring extensive computing power.

What makes Kimi K3 different from traditional open-source AI models?

Kimi K3 is a frontier model that is much larger, can process up to 1 million tokens, and efficiently activates only a fraction of its parameters. This enables it to understand much longer contexts than traditional models.

Why is it significant that Kimi K3 is now available as open-weights?

Open-source frontier models like Kimi K3 are now freely available for builders, enabling new possibilities for AI development and innovation outside of large corporations.

How does Kimi K3 remember information across such a long context of 1 million tokens?

Kimi K3 uses advanced training methods that enable the model to process and retain longer contexts effectively without causing crashes or loss of information.