Turning General AI Into Coding Specialists

We unpack how continued pre-training turns a general AI into a coding and math specialist. From Meta's CodeLlama to DeepSeek's findings on code-based learning and Nvidia's synthetic debates, we explore model souping, ultra-long contexts (131k tokens), and why training on code can sharpen logic and mathematical reasoning. We discuss what this means for solving real-world scientific and engineering challenges—and what human-style conversation can unlock next in AI.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC