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📝 Add guidance on writing legible content and linkages in AI Models
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Artificial Intelligence Models.md
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Artificial Intelligence Models.md
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- Balancing log verbosity is crucial. Informative yet concise logs optimize token usage and inference speed.
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- [You need quick and clear feedback loops](https://lucumr.pocoo.org/2025/6/12/agentic-coding/) (fast tool responses, clean logs, ...).
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- Prefer functions with clear, descriptive and longer than usual function names over classes. Avoid inheritance and overly clever hacks.
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- Write legible (text based) relevant content and link it with anything else (code, diagrams, ...).
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## Agents
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Decentralized Web.md
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Decentralized Web.md
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- Cryptocurrencies have the [[Incentives]] to keep the users happy since forking is an option.
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- [Web3 is a decentralized internet. Under Web3, the internet is shared online and governed by the collective "we"](https://docs.google.com/document/d/1SWJw_NTyUvgdB_asRzsnVyKjciW8dZbeqQeUeWsEiQc).
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- Decentralized web incentives open source. That creates an ecosystem of composable and permissionless tools that increases the speed of innovation.
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- [Openness allows local groups to design systems for governance, identity, and other needs in ways that are compatible with local goals](https://vitalik.eth.limo/general/2025/09/24/openness_and_verifiability.html).
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- A way to look at the decentralized web movement is as a laboratory for economic, political, and social experiments.
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- The space encourages experimentation in a diverse set of fields like [[Governance]] or [[Finances]].
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- Networks aren't evenly distributed in the world. E.g: [we see the emergence of densely connected hubs—centralized islands in the internet](https://newsletter.squishy.computer/p/centralization-is-inevitable). Scale-free networks are power-law distributed and emerge due to preferential attachment (rich get richer feedback loops, also known as [[Network Effects]]).
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Learning.md
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Learning.md
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3. Identify your knowledge gaps. What are you missing?
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4. Organize and Simplify. Tell a story to teach. Analogies help here!
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- Follow the guidelines stated in Coursera's [*Learning How to Learn* summary](https://www.reddit.com/r/GetMotivated/comments/5950tm/text_i_just_finished_the_online_coursera_course/).
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- Write down the process that better worked for you. Keep improving the process with the learning of failed experiences. [Learn iterating over the process](https://twitter.com/naval/status/1052856864965152769).
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- Write down the process that better worked for you. Keep improving the process with the learning of failed experiences. Pain is also information... sometimes you have to learn it the hard way. [Learn iterating over the process](https://twitter.com/naval/status/1052856864965152769).
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- There are two categories of learning. [Mix them both to learn faster](https://www.joshwcomeau.com/blog/how-to-learn-stuff-quickly/).
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1. **Guided:** Reading a tutorial, taking a course, watching a YouTube video. Anything where you're following a guide.
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2. **Unguided:** Creating your own projects from scratch, extending a tutorial, looking things up in the docs. Anything where you aren't following a guide.
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Making Decisions.md
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Making Decisions.md
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- Set a default decision and work from there.
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- Realize that the possibility space is much bigger than you initially think. Take some distance and see the decision through different lenses. The bottleneck to doing something is often knowing that it's even an option.
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- How un-doable is a decision? If an idea is fully un-doable, make it as quickly as you can. When a decision is something that you can't take back, then it's worth really, really understanding. **Aim for preserving optionality**.
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- Sometimes is good to think like a triage nurse — if you spend too long per patient, you hurt many.
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- To maximize your long-term happiness, prioritize the projects you'd most regret not having pursued by the time you're old and looking back at your life.
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- Gather all the information you can. Then, schedule [[time]] to think deeply about it. Brain-dump your thoughts on the problem - what's going wrong, why is it inefficient? Try to understand it in as much detail as possible.
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- Learn from the mistakes of others. You can't live long enough to make them all yourself.