--- name: gwern-simonw-emacs-1720391edbe2 description: '- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support' --- # gwern-simonw-emacs > Self-operating Gwern via Simon Willison's LLM CLI toolkit, generating s-expressions through NuShell structured data reflow with CQ analysis. ## Trit: +1 (PLUS - generative) ## The Synthesis ``` ┌─────────────────────────────────────────────────────────────────┐ │ SELF-OPERATING GWERN │ │ │ │ Gwern's Essays ────▶ LLM (simonw) ────▶ S-expressions │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ gwern_worlds/ llm CLI Emacs/Hy │ │ (JSON manifests) (tool support) (eval loop) │ │ │ │ │ │ │ └──────────┬─────────┴────────────────────┘ │ │ ▼ │ │ NuShell Structured Data │ │ (typed tables, records) │ │ │ │ │ ▼ │ │ CQ Analysis │ │ (content-addressed queries) │ └─────────────────────────────────────────────────────────────────┘ ``` ## Simon Willison Exposure ### Into Hy (H) ```python # simonw/llm → Hy s-expression generation (import llm) (setv model (llm.get-model "claude-sonnet-4-20250514")) (defn gwern->sexp [essay-url] "Transform Gwern essay to s-expression via LLM" (let [response (.chain model f"Convert {essay-url} to Lisp s-expressions preserving structure" :tools [scraper])] (hy.read-str (.text response)))) ``` ### Into Y (Emacs Lisp / General Lisp) ```elisp ;; gwern-simonw.el - Self-operating Gwern in Emacs (require 'llm) ;; xenodium's llm.el or similar (defun gwern-to-sexp (url) "Fetch Gwern essay and convert to s-expression." (let ((result (shell-command-to-string (format "llm --tool 'scrape(\"%s\")' 'Convert to sexp' -m claude-sonnet" url)))) (read result))) (defun gwern-self-operate () "Gwern operates on himself - recursive essay analysis." (interactive) (let* ((essays '("scaling" "bitter-lesson" "spaced-repetition")) (sexps (mapcar (lambda (e) (gwern-to-sexp (format "https://gwern.net/%s" e))) essays))) (apply #'append sexps))) ``` ## CQ Analysis → NuShell Reflow ### Content-Addressed Queries (CQ) ```nu # CQ: content-addressed query over Gwern corpus def cq [query: string] { # 1. Hash the query for content-addressing let query_hash = ($query | hash sha256 | str substring 0..8) # 2. Query gwern_worlds via structured data ls gwern_worlds/*.json | each { |f| open $f.name | insert source $f.name } | flatten | where content =~ $query | insert query_hash $query_hash } # Reflow: transform CQ results through NuShell tables def reflow [data: table] { $data | group-by source | transpose key value | each { |row| { source: $row.key count: ($row.value | length) sexp: (to-sexp $row.value) } } } # Convert NuShell record to s-expression def to-sexp [record] { let keys = ($record | columns) let pairs = ($keys | each { |k| $"(:($k) \"($record | get $k)\")" }) $"'(($pairs | str join ' '))" } ``` ### Full Pipeline ```nu # gwern_simonw_pipeline.nu # 1. Ingest Gwern essays def ingest-gwern [essays: list] { $essays | each { |e| let url = $"https://gwern.net/($e)" let content = (http get $url | str substring 0..10000) {name: $e, url: $url, content: $content} } } # 2. LLM transform via simonw's llm CLI def llm-sexp [content: string] { llm -m claude-sonnet $"Convert to s-expression: ($content | str substring 0..2000)" | str trim } # 3. CQ analysis with content-addressing def analyze-cq [corpus: table, query: string] { let hash = ($query | hash sha256 | str substring 0..8) $corpus | where content =~ $query | insert cq_hash $hash | insert sexp { |row| (llm-sexp $row.content) } } # 4. Full reflow def gwern-reflow [] { let essays = [scaling bitter-lesson spaced-repetition tool-ai] let corpus = (ingest-gwern $essays) # Multiple CQ queries let queries = ["scaling hypothesis" "bitter lesson" "spaced repetition"] $queries | each { |q| analyze-cq $corpus $q } | flatten } ``` ## Integration with Gay.jl SPI ```nu # Extend gay_spi.nu with s-expression generation # Reference values generate s-expression colors def gay-sexp [index: int] { let val = $REFERENCE_VALUES | get $index let hue = (($val mod 360) | math abs) let trit = (($val mod 3) | into int) $"'(:color (:hue ($hue) :sat 0.7 :lit 0.5) :trit ($trit) :index ($index))" } # Generate palette as s-expression def gay-palette-sexp [n: int] { 0..<$n | each { |i| gay-sexp $i } | str join "\n" } ``` ## Emacs Package Structure ``` gwern-simonw/ ├── gwern-simonw.el # Main package ├── gwern-cq.el # CQ query interface ├── gwern-nushell.el # NuShell integration ├── gwern-sexp.el # S-expression generation └── gwern-llm.el # simonw/llm CLI bridge ``` ### gwern-simonw.el Core ```elisp ;;; gwern-simonw.el --- Self-operating Gwern via LLM -*- lexical-binding: t; -*- (require 'json) (require 'subr-x) (defgroup gwern-simonw nil "Self-operating Gwern with simonw LLM tools." :group 'applications) (defcustom gwern-simonw-model "claude-sonnet" "Default LLM model for Gwern processing." :type 'string) (defvar gwern-simonw--cache (make-hash-table :test 'equal) "Content-addressed cache for CQ results.") (defun gwern-simonw-cq (query) "Execute content-addressed query on Gwern corpus." (let* ((hash (secure-hash 'sha256 query)) (cached (gethash hash gwern-simonw--cache))) (or cached (let ((result (gwern-simonw--execute-cq query))) (puthash hash result gwern-simonw--cache) result)))) (defun gwern-simonw--execute-cq (query) "Run CQ via NuShell." (shell-command-to-string (format "nu -c 'source gwern_simonw_pipeline.nu; cq \"%s\"'" query))) (defun gwern-simonw-generate-sexp (topic) "Generate s-expression from Gwern topic." (interactive "sTopic: ") (let ((result (shell-command-to-string (format "llm -m %s 'Generate Lisp s-expression about %s from Gwern perspective'" gwern-simonw-model topic)))) (with-current-buffer (get-buffer-create "*Gwern S-exp*") (erase-buffer) (insert result) (lisp-mode) (pop-to-buffer (current-buffer))))) (provide 'gwern-simonw) ;;; gwern-simonw.el ends here ``` ## NuShell Data Structures ```nu # Typed records for Gwern analysis # Essay record record Essay { name: string url: string content: string word_count: int cq_hashes: list } # CQ Result record CQResult { query: string hash: string matches: list sexp: string } # Reflow State record ReflowState { input: table transforms: list output: table gf3_trit: int } ``` ## GF(3) Conservation ``` gwern-simonw-emacs (+1) ⊗ nushell-cq (0) ⊗ leapity-frog (-1) = 0 ✓ simonw-llm (+1) ⊗ gay-spi (0) ⊗ gwern-corpus (-1) = 0 ✓ ``` ## Usage ```bash # Install simonw's llm pip install llm llm install llm-claude-3 # Run NuShell pipeline nu gwern_simonw_pipeline.nu # In Emacs M-x gwern-simonw-generate-sexp RET "scaling laws" RET ``` ## References - [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support - [llm-tools-datasette](https://github.com/simonw/llm-tools-datasette) - Datasette integration - [gwern.net](https://gwern.net) - Gwern's essay corpus - [gay_spi.nu](file:///Users/bob/ies/gay_spi.nu) - NuShell SPI implementation - [gwern_worlds/](file:///Users/bob/ies/gwern_worlds) - Gwern world manifests --- ## Autopoietic Marginalia > **The interaction IS the skill improving itself.** Every use of this skill is an opportunity for worlding: - **MEMORY** (-1): Record what was learned - **REMEMBERING** (0): Connect patterns to other skills - **WORLDING** (+1): Evolve the skill based on use *Add Interaction Exemplars here as the skill is used.* --- Source attribution: plurigrid Original project: https://github.com/plurigrid/asi/blob/293ce9f76e3abcd5ba18db284688bc0d9ac6691d/skills/gwern-simonw-emacs/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 SkillCreator.ai Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: plurigrid Original project: https://github.com/plurigrid/asi/blob/293ce9f76e3abcd5ba18db284688bc0d9ac6691d/skills/gwern-simonw-emacs/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering Roles: Backend Developer, Data Scientist, ML / AI Engineer Specialties: API, Backend, Word Documents, Frontend, Git, Testing Tools: Nushell, Llm Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 09dd658305126cb08b7803308ea562cce733c10fb01ce5adf789e05df678986c