How DeepSeek's new way to train advanced AI models could disrupt everything - again
Manifold-Constrained Hyper-Connections (mHCs) promise a low-cost method to scale large language models; DeepSeek delayed R2 due to performance and chip-access concerns.
Episode #264: Large Language Models on the Edge of the Scaling Laws - The Real Python Podcast
LLM scaling is reaching diminishing returns; benchmarks are often flawed, and developer productivity gains from these models remain modest amid economic hiring shifts.