Tonk

A portable data substrate for humans and their tools to think together.

This network is a tree of beliefs about the future. Unlike a document I read, it's an object I use to think about the world. LLMs help me build it and keep it updated in a reasonable timeframe. I run calculations, toggle scenarios like "what if belief X resolves true" and watch probabilities cascade down the branches. Representing Thought in Carry Six months ago, I was attempting to build worlds using text documents. I wanted to model possible futures; more precisely, to simulate "what if" scenarios — for example, what if we live in a world with AGI? What if the world warms to 4 degrees? A rec

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• Xi Da

related reading

• LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
• As Rocks May Think | Eric Jangevjang.com
• Andrej Karpathy on X: "LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating" / Xx.com
• llm-wikigist.github.com
• Patterns for Building LLM-based Systems & Productseugeneyan.com
• LLM Daydreaming · Gwern.netgwern.net
• Modifying LLM Beliefs with Synthetic Document Finetuningalignment.anthropic.com
• [2201.11903] Chain of Thought Prompting Elicits Reasoning in Large Language Modelsarxiv.org
• How to keep thinkingseangoedecke.com
• Training Large Language Models to Reason in a Continuous Latent Spacearxiv.org
• Thinking to recall: How reasoning unlocks parametric knowledge in LLMsresearch.google
• Can LLMs Be Computers?percepta.ai