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Large language model (LLM) helper script to copy context into long-context-window language models to improve their ability to help users with programming tasks.
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# 0. Install prerequisites using a package manager: `brew install tree rectangle maccy` (`tree` is a command line utility for transmitting the directory structure to large language models in a compressed format; `rectangle` is a utility for managing screen state and having a LLM on the left of the screen and a code editor/interactive development environment like Jupyter Lab or Visual Studio Code on the right of the screen using keyboard shortcuts; `maccy` is for having a keyboard shortcut to display clipboard history, as there are few solutions like https://colab.research.google.com/github/jaanli/language-model-notebooks/blob/main/notebooks/getting-started.ipynb that enable saving of previous prompts and code in accessible ways using keyboard shortcuts!)
# 1. Copy and paste the contents of this bash script into a file: `code /usr/local/bin/copy.sh`
# 2. Make this new file executable: `chmod a+x /usr/local/bin/copy.sh`
# 3. Test it in a directory, by running `copy.sh`, which should
Information is often behind paywalls, behind artificial intelligence interfaces that require payment, and going to the source is often required to advance basic science and biomedical research.
Here are simple workflows tested over the years for accessing information:
graphTBA[Can I access plain text content that contains the information needed to satisfy my intent?]-->B(<a href='https://web.archive.org'>Wayback Machine</a>)A-->C(<a href='https://archive.is'>archive.is</a>)A-->D(<a href='https://libgen.rs'>Library Genesis</a>)A--> E[<a href="https://bing.com">Bing Cached Pages</a>Search on Bing, click arrow by result, click 'Cached']
Cents & Sensibility: How to do accounting 101 in one hour with large language models
Cents & Sensibility: The Ledger Luminaries' Revolution
I'm scared to account; scared of statements of business dealings, credits and debits, and tracking of all this money-related stuff. Scared of reciting these transaction histories, and yet reckoning with these computations and enumerations is as deathly certain as taxes.
It is silly that this problem has not been solved given fancy new technology like AI and large language models. It's also silly how much big institutions skim off the top, like 1.5–3.5% per credit card transaction, and our expanding web of subscriptions to Substacks, Youtubes and the like that become more numerous and Medusa-like the harder they are to track, aggregate, categorize, and analyze across instutitions. I'm also scared of Mint.com (I used it for many years) as they broker our data, but still need the help of software and technology to manage money. This feels like a data problem that should have been solved long ago 🤯
So the goal here was to spend a few hours on a weekend t
Delete Weights and Biases (wandb.ai) projects automatically. Use with `WANDB_EMAIL="myemail" WANDB_PASSWORD="mypassword" npx playwright test automatically_delete_wandb.ai_projects.test.js
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LaTeXiT template for settings that look okay with Keynote and Whitney font
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Quick overview of snapshot of dev environment / workflow
Towards a better mac development environment in 2018
Progress, perspectives, & new beginnings.
Advice: Install everything. Go all-in on all the suggested tools for a week, then see what sticks. Start using all of them at once. There's a large 'activation energy' to switching tools but it is worth the up-front investment for a lifetime of saved milliseconds on everyday tasks like switching directories, etc.
Dockerfile for dotfiles with vim + tmux + c++ dev environment & private github ssh key support. Using dotfiles from https://github.com/altosaar/dotfiles
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