The AI Delay: planning vs projection скачать в хорошем качестве

The AI Delay: planning vs projection

Have you ever wondered what’s actually happening during that long pause before an AI starts generating text? Most users see Time to First Token (TTFT) as mere lag or a slow connection. In reality, that delay is the model’s most powerful feature: the Prefill Stage. This is where the model performs parallel reasoning in a high-dimensional latent state to plan its entire response before a single word is emitted. In this video, we dive into the "Three-Box Architecture" of modern LLMs--Encoder, Non-verbal Reasoner, and Projector--and explore why the highest-fidelity reasoning happens before the first token. Key Topics Covered: • The Composer vs. The Orchestra: Why the prefill stage is like writing a symphony, while token generation is just the performance. • Latent Overflow: What happens when task complexity exceeds the model's internal "scratchpad" capacity, and why it leads to silent failures. • Latent Constraint Injection: A powerful prompting technique to force internal planning by moving end-state variables (like filenames or summaries) to the very beginning of the output. • The Three-Box Architecture: Moving toward continuous reasoning and "Delta-based" state updates to avoid the lossy compression of multi-turn chat. • Prompting as Sheet Music: How to navigate complex knowledge spaces (the "high shelves") using sequences of prompts as a "composition". Are we paying for words when we should be paying for thoughts? Join us as we explore the hidden mechanics of the AI "Thinking Delay." Read the full research notes on the PromptComp Blog: https://github.com/shsmith/promptcomp... https://github.com/shsmith/promptcomp...