Gemini 3.1 Pro
Google's multimodal model with audio regression issues
Episodes
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#6253: Why Context Windows Stalled at a Million TokensA dense 70B model requires about 328 gigabytes of KV cache to serve a single one-million-token prompt, exceeding the memory of an Nvidia B300 chip. -
#2187: Why Claude Writes Like a Person (and Gemini Doesn't)Claude produces prose that sounds human. Gemini reads like Wikipedia. The difference isn't capability—it's how they were trained to think about wri... -
#1564: The Death of the Cascaded PipelineForget basic transcription. Explore how native omni-modal models are capturing the "soul" of speech with near-instant latency. -
#1500: The Great AI Divergence: How Models Specialized in 2026The era of the chatbot is over. Discover how the "agentic substrate" of 2026 is redefining computing through GPT, Gemini, and Claude. -
#1499: The Black Box Recorder: Why AI Needs an Active ArchiveStop treating AI chats as disposable. Discover why active archiving is now the essential gold standard for enterprise data and compliance.