Strip the 'Wait' Tokens: Two Papers Prove Your Reasoning Model Is Wasting Half Its Budget Thinking Out Loud
The NoWait technique cuts chain-of-thought length 27-51% with zero accuracy loss -- here's how to apply it in Claude, GPT, and Gemini
Pillar
Chain-of-thought, few-shot, role prompting, structured output
43 articles • Page 2 of 5
The NoWait technique cuts chain-of-thought length 27-51% with zero accuracy loss -- here's how to apply it in Claude, GPT, and Gemini
New research shows dynamically selecting in-context examples by embedding similarity outperforms static few-shot by up to 7 BLEU -- here's how to build it
Karpathy was right -- the highest-leverage skill in 2026 isn't writing better prompts, it's deciding what goes into the context window and what stays out
Embedding hesitation cues like 'wait, let me verify' into your prompts activates built-in self-correction that chain-of-thought never could
Each frontier model parses structure differently -- XML, JSON, or markdown. Match the format, and output quality jumps measurably.
OpenAI's new prompting guide kills personas, step-by-step, and emotional primers -- here's the minimal structure that actually works on reasoning models
Stop writing 'think step by step'. Start setting token budgets that match the task.
The biggest AI labs just showed us their playbook -- here's how to steal their system prompt patterns for your own workflows
Why 'You are a senior engineer who also reviews for security' beats single-role prompts