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My biggest benefit from writing my own tool set is that I can build the tools that exactly conform to my workflows, rather than constructing my workflows around the tools available to me. This means the tools can truly be an extension of the way my brain thinks and organizes information about the world around me.

I think it’s easy to underestimate the extent to which our tools can constrain our thinking, if the way they work goes against the way we work. Conversely, great tools that parallel our minds can multiply our creativity and productivity, by removing the invisible friction of translating between our mental models and the models around which the tools are built.

I don’t think everyone needs to go out and build their own productivity tools from the ground-up. But I do think that it’s important to think of the tools you use to organize your life as extensions of your mind and yourself, rather than trivial utilities to fill the gaps in your life.

Encyclopedias are a compendium and summary of accepted human knowledge. Their purpose is not to provide compelling and interesting articles, but to provide accurate and verifiable information. To this end, encyclopedias strive to always represent each point-of-view in a controversy with an amount of weight and credulity equal to the weight and credulity afforded to it by the best sources of information on the subject. This means that the consensus of experts in a subject will be treated as a fact, whereas theories with much less acceptance among experts, or with acceptance only among non-experts will be presented as inaccurate and untrue.

Before you even begin to try to raise the issue at a talk page, you should ask yourself "Is this article really biased, or does it accurately reflect the views of authoritative sources about this subject?" Do some research. Read the sources used by the article and find other reliable sources on the subject. Do they present the subject as controversial, or do they tend to take a side? If there's a clear controversy, what field of study would impart expertise on this, and what side do people who work in that field tend to take? Do the claims made by the article match the claims made by the sources? Depending on the answers to these questions, the article may not be biased at all.

While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.