
This AI Has 320 Billion Parameters. It Barely Uses Them.
Two Minute Papers1 September 2026Watch on YouTube
What you'll learn
- You learn what GLM 5.3 Flash is, an AI model with 320 billion parameters that efficiently uses its capabilities.
- You see how this model combines AI performance with efficiency.
- You understand the implications of efficient parameter use for large language models.
- You gain insight into the architecture and design behind this AI model.
- You discover why choosing the right model size matters in the AI landscape.
Frequently asked questions
What is GLM 5.3 Flash?
Why is this model notable?
What topics are covered in the video?
Topics
In this video
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Description from the channel
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 GLM 5.3 Flash: https://z.ai/blog/glm-5.3-flash Sources: https://x.com/louszbd/status/2092694163104113016 https://x.com/semianalysis_/status/2092623833630998556 https://x.com/skalskip92/status/2092748209802154201 https://x.com/louszbd/status/2093047548550525165 https://x.com/atomic_chat_hq/status/2093433913238552712 https://x.com/holytrinity/status/2094093933584257334 https://x.com/KinasRemek/status/2090081611832295581/video/1 https://x.com/AiXsatoshi/status/2093679264013181119/video/1 https://x.com/AiXsatoshi/status/2093353322921263389/video/1 https://x.com/stevibe/status/2092655031040565252 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, B Shang, Carlos Galarza, Christian Ahlin, Eric Tyson, Juan Benet, Lukas Biewald, Michael Tedder, Owen Skarpness, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi
