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A new 2.8 trillion parameter model from China is officially outperforming Claude on key AI benchmarks. Get the facts on this release.
🤝 Thank You to Our Sponsors!
GitKraken: Stop fighting Git and spend more time building. Get visual Git workflows, PR management, and tools built for modern AI-powered development. Check out exclusive offers at https://www.gitkraken.com/programmingpod
đź”— Resources & Links Mentioned
The Developer's Guide to AI: Grab the newly released book by Danny Thompson from here! http://developersguide.ai/
Commit Your Code Conference (CYC 2026): Join us Sept 2nd-4th at the Capital One Campus in Plano, Texas. Keynote by the CTO of the PGA! https://www.commityourcode.com/
Resilient Coders: Free coding boot camp paying you a stipend to learn. Applications open in Boston, Philly, NY, Maine, and Pittsburgh: https://www.resilientcoders.org/
Plus, we cover the Friday 3 PM developer log habit, why you should always be interview-ready every six months, and answer a listener question about how to handle recruiters before your first interview round.
✅ If you made it to the end, comment: “Better talking points!” so we know who is a real one!
https://www.commityourcode.com/
Come to CYC!
Get The Developers Guide To AI here!
http://developersguide.ai/
Stay in Touch:
đź“§ Have ideas or questions for the show? Or are you a business that wants to talk business?
Email us at [email protected]!
Danny Thompson
https://x.com/DThompsonDev
https://www.linkedin.com/in/DThompsonDev
www.DThompsonDev.com
Leon Noel
https://x.com/leonnoel
https://www.linkedin.com/in/leonnoel/
https://100devs.org/
đź“§ Have ideas or questions for the show? Or are you a business that wants to talk business?
Email us at [email protected]!
This episode of The Programming Podcast breaks down the specs of this massive Chinese AI model. We analyze why it matters that this is the first open-weight AI of this scale to compete at the top of the leaderboards. If you follow the rapid advancement of large language models, this update is critical for understanding the shifting competitive landscape.
We discuss the technical implications of a 2.8 trillion parameter model and what its open-weight status means for developers globally. You will walk away with a clear understanding of how this Chinese AI model compares to current industry leaders like Claude and whether it truly sets a new standard for performance.
Subscribe for weekly AI and programming breakdowns, and comment below if you think open-weight models will overtake proprietary systems this year.
Chapters
0:00 - Intro & The 2.8 Trillion Parameter Breakthrough
A look at Moonshot’s Kimmy K3, the first frontier-level open-weight model, and why its release is a massive moment for the AI space.
2:04 - Sponsor Segment: GitKraken
3:26 - Open Weights, Privacy, & Breaking the Monopoly
9:00 - Real-World Testing & Token Optimization
17:48 - Beyond Code: Omniscience & Context Engineering
24:04 - AI Swarms & Cloning MacOS
29:37 - Community Win: Landing an IBM Job with AI
33:17 - Q&A: Navigating the Salary Target Question
41:38 - Outro
By The Programming Podcast4.9
6565 ratings
A new 2.8 trillion parameter model from China is officially outperforming Claude on key AI benchmarks. Get the facts on this release.
🤝 Thank You to Our Sponsors!
GitKraken: Stop fighting Git and spend more time building. Get visual Git workflows, PR management, and tools built for modern AI-powered development. Check out exclusive offers at https://www.gitkraken.com/programmingpod
đź”— Resources & Links Mentioned
The Developer's Guide to AI: Grab the newly released book by Danny Thompson from here! http://developersguide.ai/
Commit Your Code Conference (CYC 2026): Join us Sept 2nd-4th at the Capital One Campus in Plano, Texas. Keynote by the CTO of the PGA! https://www.commityourcode.com/
Resilient Coders: Free coding boot camp paying you a stipend to learn. Applications open in Boston, Philly, NY, Maine, and Pittsburgh: https://www.resilientcoders.org/
Plus, we cover the Friday 3 PM developer log habit, why you should always be interview-ready every six months, and answer a listener question about how to handle recruiters before your first interview round.
✅ If you made it to the end, comment: “Better talking points!” so we know who is a real one!
https://www.commityourcode.com/
Come to CYC!
Get The Developers Guide To AI here!
http://developersguide.ai/
Stay in Touch:
đź“§ Have ideas or questions for the show? Or are you a business that wants to talk business?
Email us at [email protected]!
Danny Thompson
https://x.com/DThompsonDev
https://www.linkedin.com/in/DThompsonDev
www.DThompsonDev.com
Leon Noel
https://x.com/leonnoel
https://www.linkedin.com/in/leonnoel/
https://100devs.org/
đź“§ Have ideas or questions for the show? Or are you a business that wants to talk business?
Email us at [email protected]!
This episode of The Programming Podcast breaks down the specs of this massive Chinese AI model. We analyze why it matters that this is the first open-weight AI of this scale to compete at the top of the leaderboards. If you follow the rapid advancement of large language models, this update is critical for understanding the shifting competitive landscape.
We discuss the technical implications of a 2.8 trillion parameter model and what its open-weight status means for developers globally. You will walk away with a clear understanding of how this Chinese AI model compares to current industry leaders like Claude and whether it truly sets a new standard for performance.
Subscribe for weekly AI and programming breakdowns, and comment below if you think open-weight models will overtake proprietary systems this year.
Chapters
0:00 - Intro & The 2.8 Trillion Parameter Breakthrough
A look at Moonshot’s Kimmy K3, the first frontier-level open-weight model, and why its release is a massive moment for the AI space.
2:04 - Sponsor Segment: GitKraken
3:26 - Open Weights, Privacy, & Breaking the Monopoly
9:00 - Real-World Testing & Token Optimization
17:48 - Beyond Code: Omniscience & Context Engineering
24:04 - AI Swarms & Cloning MacOS
29:37 - Community Win: Landing an IBM Job with AI
33:17 - Q&A: Navigating the Salary Target Question
41:38 - Outro

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