Slow LLM Delays AI Responses Intentionally

🔑 Enhanced Key Takeaways

• •The project is framed as a form of 'adversarial design' or 'digital asceticism,' aiming to force users to engage in 'slow reading' and critical evaluation rather than passive consumption of AI-generated text.
• •The tool utilizes a 'trickle' mechanism that mimics human typing speeds or slower, specifically designed to disrupt the 'instant gratification' loop that researchers argue contributes to cognitive atrophy.
• •Beyond the Chrome extension, the DNS-based implementation allows for network-level enforcement, enabling institutional or household-wide adoption to curb AI-assisted cheating in academic environments.

🛠️ Technical Deep Dive

• •The Chrome extension operates by hooking into the browser's Fetch API via a content script, intercepting the ReadableStream returned by LLM endpoints.
• •It implements a custom stream transformer that buffers incoming chunks and releases them at a configurable, throttled interval using a JavaScript setTimeout or requestAnimationFrame loop.
• •The DNS-based implementation functions by intercepting DNS queries for specific LLM domains (e.g., chatgpt.com, claude.ai) and routing traffic through a local proxy server that enforces the artificial latency before forwarding the request to the actual model API.

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline