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From a grocery-store hummus dilemma to architecting multi-step agent workflows, we dive into Google's Gemini 3.1 Pro—a reasoning-first AI engineered to plan, reason, and execute with adaptive thinking. We unpack the ARC AGI 2 score, the astonishing 1-million-token context window, and grounding features that tie it to codebases and search. Explore the practical implications for AI automation, software development, and the future of problem-solving tools.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
By Mike BreaultFrom a grocery-store hummus dilemma to architecting multi-step agent workflows, we dive into Google's Gemini 3.1 Pro—a reasoning-first AI engineered to plan, reason, and execute with adaptive thinking. We unpack the ARC AGI 2 score, the astonishing 1-million-token context window, and grounding features that tie it to codebases and search. Explore the practical implications for AI automation, software development, and the future of problem-solving tools.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC