Send us a text How Parallel Reasoning Channels Are Redefining AI Scaling In this episode of the Colaberry AI Podcast, we explore a major architectural breakthrough from the Chinese AI firm DeepSeek known as Manifold Constrained Hyperconnections (MHC)—a technique that challenges one of the most persistent limitations in modern AI design. For over a decade, large models have relied on narrow internal information pathways that create bottlenecks for complex reasoning, especially in logic and mat...
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Send us a text How Parallel Reasoning Channels Are Redefining AI Scaling In this episode of the Colaberry AI Podcast, we explore a major architectural breakthrough from the Chinese AI firm DeepSeek known as Manifold Constrained Hyperconnections (MHC)—a technique that challenges one of the most persistent limitations in modern AI design. For over a decade, large models have relied on narrow internal information pathways that create bottlenecks for complex reasoning, especially in logic and mat...
GLM 4.7: The Open-Source Model Challenging AI Giants | 29th Dec 2025
Colaberry AI Podcast
14 minutes
1 week ago
GLM 4.7: The Open-Source Model Challenging AI Giants | 29th Dec 2025
Send us a text How Z.AI’s Breakthrough Is Closing the Gap with Proprietary AI In this episode of the Colaberry AI Podcast, we dive into the release of GLM 4.7, a powerful new open-source AI model from Z.AI that is rapidly reshaping expectations around what publicly available models can achieve. Remarkably, GLM 4.7 is outperforming several top-tier proprietary systems across multiple benchmarks—signaling a major shift in the balance of power within the AI ecosystem. One of the model’s defining...
Colaberry AI Podcast
Send us a text How Parallel Reasoning Channels Are Redefining AI Scaling In this episode of the Colaberry AI Podcast, we explore a major architectural breakthrough from the Chinese AI firm DeepSeek known as Manifold Constrained Hyperconnections (MHC)—a technique that challenges one of the most persistent limitations in modern AI design. For over a decade, large models have relied on narrow internal information pathways that create bottlenecks for complex reasoning, especially in logic and mat...
