Sunday Latte: Building Andy’s Café
How a personal listening tool became a multilingual public podcast: the formats, editorial choices, speech pipeline, open-web distribution, privacy principles, growth strategy and questions that come next.
English · 12 released episodes
Four ways into AI: quick concepts, connected terms, deep dives and the week's news. New episodes in English. Andy's Café is also available in Deutsch, Italiano, Español and Français. Brewed by machines. Tasted by humans.
How a personal listening tool became a multilingual public podcast: the formats, editorial choices, speech pipeline, open-web distribution, privacy principles, growth strategy and questions that come next.
How fluent next-token prediction can produce precise falsehoods, what confidence and calibration really mean, and how to verify an answer without dismissing everything.
Why training and inference require so much arithmetic, data movement and coordination—and why more compute brings real gains without guaranteeing truth or value.
Where a trained model ends, what makes a system agentic, what the surrounding harness does—and why more autonomy is not always better.
How pretraining builds a model’s broad base, how fine-tuning adapts an existing checkpoint, what post-training adds—and why these labels overlap.
Claude’s possible mathematical advance, the race for faster and more persistent models, Meta’s open weights, Google’s reported billion-user scale for Gemini, ads in ChatGPT, simulated clinical video visits and Z.ai’s delayed weights.
How next-token prediction changes a model’s weights, what post-training adds, and why context and retrieval are not the same as permanent learning.
Why a long chat can remember your preferences and still forget an early instruction—and how tokens, context, memory and retrieval fit together.
Why language models count text in tokens, how tokenization works, and why tokens shape context, speed and cost.
The practical difference between training a model and using it for inference, including prompts, memory and retrieval.
What exactly is an AI model, how is it different from the surrounding product, and what does training produce?
This week's Morning Paper: cyber evaluations, OpenAI's Astra, mathematical research, Google leadership, new models, data-centre power and autonomous agents.