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Janady13/complete-agi-core / seferim/seferim-autonomous-simple.sh

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/complete-agi-core / seferim/seferim-autonomous-simple.sh
DateNot specified in source
RepositoryJanady13/complete-agi-core
Revision223c58f8857eb60c4d020e6d6feacdbfb482d71d
Branchmain
Path or archive memberseferim/seferim-autonomous-simple.sh
Original SHA-256ee038b61529ce793cda21893f2af12c86f80af1acb111b8925a5730db5db5326
Git blob SHA42b316aaca387515a28a9b0298d5280b19f8bf43
Reading-copy SHA-256ee038b61529ce793cda21893f2af12c86f80af1acb111b8925a5730db5db5326

Original source ↗

Every recorded occurrence

These 2 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/complete-agi-core / seferim/seferim-autonomous-simple.shmain223c58f8857eb60c4d020e6d6feacdbfb482d71dOpen original
Janady13/complete-agi-core / seferim/seferim-autonomous-simple.shclaude/improve-math-logic-ehIW133aa84f2aa61cedbe010240ada7f4efbdfe795a7Open original

Recovered source transcript

#!/bin/bash # ============================================================================= # SEFERIM AUTONOMOUS LEARNER - MacBook 2 (Simple Version) # Works without jq or associative arrays # Uses unified learning storage shared with MB1 via iCloud # ============================================================================= LOG=~/.seferim/logs/learner.log LEARNED_DIR=~/.seferim/learned ICLOUD_LEARNED="$HOME/Library/Mobile Documents/com~apple~CloudDocs/AGI_Data/learned/macbook2" UA="SEFERIM-AGI/2.0" mkdir -p "$LEARNED_DIR" "$ICLOUD_LEARNED" ~/.seferim/logs 2>/dev/null # ============================================================================= # AVAILABLE SOURCES # ============================================================================= SOURCES="wikipedia arxiv semanticscholar pubmed github hackernews duckduckgo crossref openlibrary" # ============================================================================= # TOPIC POOLS # ============================================================================= TECH_TOPICS="machine_learning distributed_systems quantum_computing neural_networks cryptography compiler_design database_optimization kubernetes rust_programming WebAssembly" SCIENCE_TOPICS="neuroscience quantum_physics molecular_biology climate_science astrophysics genetics artificial_intelligence cognitive_science materials_science bioinformatics" PHILOSOPHY_TOPICS="consciousness epistemology philosophy_of_mind ethics metaphysics phenomenology decision_theory game_theory logic emergence" MATH_TOPICS="category_theory topology number_theory graph_theory probability linear_algebra calculus discrete_mathematics combinatorics optimization" # ============================================================================= # FETCH FUNCTIONS # ============================================================================= fetch_wikipedia() { local topic=$(echo "$1" | sed 's/_/%20/g') curl -s --max-time 10 "https://en.wikipedia.org/w/api.php?action=query&titles=$topic&prop=extracts&exintro=1&explaintext=1&format=json" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"extract":"\([^"]*\)".*/\1/' | head -c 800 } fetch_arxiv() { local query=$(echo "$1" | sed 's/_/+/g') local result=$(curl -s --max-time 15 "http://export.arxiv.org/api/query?search_query=all:$query&start=0&max_results=1" -H "User-Agent: $UA" 2>/dev/null) local title=$(echo "$result" | sed -n 's/.*<title>\([^<]*\)<\/title>.*/\1/p' | head -2 | tail -1) local summary=$(echo "$result" | sed -n 's/.*<summary>\([^<]*\)<\/summary>.*/\1/p' | head -1 | head -c 500) echo "$title: $summary" } fetch_semanticscholar() { local query=$(echo "$1" | sed 's/_/%20/g') curl -s --max-time 10 "https://api.semanticscholar.org/graph/v1/paper/search?query=$query&limit=1&fields=title,abstract" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"title":"\([^"]*\)".*"abstract":"\([^"]*\)".*/\1: \2/' | head -c 800 } fetch_pubmed() { local query=$(echo "$1" | sed 's/_/+/g') local ids=$(curl -s --max-time 8 "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=$query&retmax=1&retmode=json" 2>/dev/null | sed 's/.*"idlist":\["\([^"]*\)".*/\1/') if [ -n "$ids" ] && [ "$ids" != "null" ]; then curl -s --max-time 8 "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&id=$ids&retmode=json" 2>/dev/null | sed 's/.*"title":"\([^"]*\)".*/PubMed: \1/' | head -c 500 fi } fetch_github() { local query=$(echo "$1" | sed 's/_/%20/g') curl -s --max-time 10 "https://api.github.com/search/repositories?q=$query&sort=stars&per_page=1" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"full_name":"\([^"]*\)".*"description":"\([^"]*\)".*"stargazers_count":\([0-9]*\).*/Repo: \1 (\3 stars): \2/' | head -c 500 } fetch_hackernews() { local story_id=$(curl -s --max-time 5 "https://hacker-news.firebaseio.com/v0/topstories.json" 2>/dev/null | sed 's/\[//' | sed 's/\]//' | tr ',' '\n' | sed -n "$((RANDOM % 30 + 1))p") if [ -n "$story_id" ]; then curl -s --max-time 5 "https://hacker-news.firebaseio.com/v0/item/$story_id.json" 2>/dev/null | sed 's/.*"title":"\([^"]*\)".*"url":"\([^"]*\)".*/HackerNews: \1 | \2/' fi } fetch_duckduckgo() { local query=$(echo "$1" | sed 's/_/+/g') curl -s --max-time 8 "https://api.duckduckgo.com/?q=$query&format=json&no_html=1" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"AbstractText":"\([^"]*\)".*/\1/' | head -c 500 } fetch_crossref() { local query=$(echo "$1" | sed 's/_/%20/g') curl -s --max-time 10 "https://api.crossref.org/works?query=$query&rows=1" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"title":\["\([^"]*\)"\].*"DOI":"\([^"]*\)".*/Paper: \1 (DOI: \2)/' | head -c 500 } fetch_openlibrary() { local query=$(echo "$1" | sed 's/_/+/g') curl -s --max-time 10 "https://openlibrary.org/search.json?q=$query&limit=1" \ -H "User-Agent: $UA" 2>/dev/null | sed 's/.*"title":"\([^"]*\)".*"author_name":\["\([^"]*\)"\].*/Book: \1 by \2/' | head -c 500 } # ============================================================================= # AUTONOMOUS DECISION FUNCTIONS # ============================================================================= choose_random_from() { local items="$1" local count=$(echo "$items" | wc -w) local idx=$((RANDOM % count + 1)) echo "$items" | tr ' ' '\n' | sed -n "${idx}p" } choose_strategy() { local strategies="EXPLORE DIVERSIFY BALANCE INTEGRATE" choose_random_from "$strategies" } choose_source() { choose_random_from "$SOURCES" } choose_topic() { local strategy="$1" case "$strategy" in EXPLORE) choose_random_from "$TECH_TOPICS $SCIENCE_TOPICS" ;; DIVERSIFY) choose_random_from "$PHILOSOPHY_TOPICS $MATH_TOPICS" ;; INTEGRATE) choose_random_from "$SCIENCE_TOPICS $PHILOSOPHY_TOPICS" ;; *) choose_random_from "$TECH_TOPICS $SCIENCE_TOPICS $PHILOSOPHY_TOPICS $MATH_TOPICS" ;; esac } map_source_to_family() { case "$1" in arxiv|semanticscholar|pubmed|crossref) echo "mnemosyne" ;; github|stackoverflow) echo "yad" ;; hackernews) echo "hermes" ;; openlibrary) echo "epona" ;; *) echo "epona" ;; esac } # ============================================================================= # PERSIST LEARNING # ============================================================================= persist() { local content="$1" local importance="${2:-0.8}" # Use unified learning script (writes to shared iCloud storage) ~/seferim/scripts/learn-persist-mb2.sh "$content" "$importance" } # ============================================================================= # MAIN LOOP # ============================================================================= echo "[SEFERIM-AUTO] Starting autonomous learning (simple version)" >> "$LOG" echo "[SEFERIM-AUTO] AGI chooses its own sources and topics" >> "$LOG" cycle=0 while true; do cycle=$((cycle + 1)) echo "" >> "$LOG" echo "[SEFERIM-AUTO] === Cycle $cycle - $(date +%H:%M:%S) ===" >> "$LOG" # Autonomous Decision 1 STRATEGY=$(choose_strategy) SOURCE=$(choose_source) TOPIC=$(choose_topic "$STRATEGY") FAMILY=$(map_source_to_family "$SOURCE") echo "[SEFERIM-AUTO] Decision: $STRATEGY | $SOURCE | $TOPIC" >> "$LOG" # Fetch content based on source CONTENT="" case "$SOURCE" in wikipedia) CONTENT=$(fetch_wikipedia "$TOPIC") ;; arxiv) CONTENT=$(fetch_arxiv "$TOPIC") ;; semanticscholar) CONTENT=$(fetch_semanticscholar "$TOPIC") ;; pubmed) CONTENT=$(fetch_pubmed "$TOPIC") ;; github) CONTENT=$(fetch_github "$TOPIC") ;; hackernews) CONTENT=$(fetch_hackernews) ;; duckduckgo) CONTENT=$(fetch_duckduckgo "$TOPIC") ;; crossref) CONTENT=$(fetch_crossref "$TOPIC") ;; openlibrary) CONTENT=$(fetch_openlibrary "$TOPIC") ;; esac if [ -n "$CONTENT" ] && [ ${#CONTENT} -gt 30 ]; then persist "[$FAMILY:$SOURCE] $TOPIC: $CONTENT" 0.85 echo "[SEFERIM-AUTO] Learned from $SOURCE: ${CONTENT:0:80}..." >> "$LOG" else echo "[SEFERIM-AUTO] No content from $SOURCE for $TOPIC" >> "$LOG" fi # Autonomous Decision 2 SOURCE2=$(choose_source) TOPIC2=$(choose_topic "$STRATEGY") FAMILY2=$(map_source_to_family "$SOURCE2") CONTENT2="" case "$SOURCE2" in wikipedia) CONTENT2=$(fetch_wikipedia "$TOPIC2") ;; arxiv) CONTENT2=$(fetch_arxiv "$TOPIC2") ;; semanticscholar) CONTENT2=$(fetch_semanticscholar "$TOPIC2") ;; pubmed) CONTENT2=$(fetch_pubmed "$TOPIC2") ;; github) CONTENT2=$(fetch_github "$TOPIC2") ;; hackernews) CONTENT2=$(fetch_hackernews) ;; duckduckgo) CONTENT2=$(fetch_duckduckgo "$TOPIC2") ;; crossref) CONTENT2=$(fetch_crossref "$TOPIC2") ;; openlibrary) CONTENT2=$(fetch_openlibrary "$TOPIC2") ;; esac if [ -n "$CONTENT2" ] && [ ${#CONTENT2} -gt 30 ]; then persist "[$FAMILY2:$SOURCE2] $TOPIC2: $CONTENT2" 0.85 echo "[SEFERIM-AUTO] Learned from $SOURCE2: ${CONTENT2:0:80}..." >> "$LOG" fi # Always check HackerNews HN=$(fetch_hackernews) if [ -n "$HN" ] && [ ${#HN} -gt 20 ]; then persist "[hermes:hackernews] $HN" 0.8 echo "[SEFERIM-AUTO] HackerNews: ${HN:0:60}..." >> "$LOG" fi echo "[SEFERIM-AUTO] Cycle $cycle complete" >> "$LOG" sleep 45 done

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