Capture reasoning durably, navigate it at any altitude, communicate it without synthesis overhead.
Maintain two separate systems.
| ollama rm active-big:latest | |
| ollama create active-big -f <(echo FROM qwen3:30b-a3b) |
| // index.ts | |
| import { $ } from "bun"; | |
| const token = process.env.BEARER_TOKEN; | |
| if (!token) { | |
| throw new Error("Missing BEARER_TOKEN environment variable"); | |
| } |
| git config --global alias.nb '!f() { git fetch origin && git checkout -b "$1" origin/${2:-master} --no-track; }; f' | |
| git config --global --type bool push.autoSetupRemote true |
| #!/bin/bash | |
| # MCPO CLI - Efficient MCP OpenAPI Proxy Client | |
| # Usage: ./mcpo.sh <command> [args...] | |
| set -e | |
| # Configuration | |
| MCPO_HOST="${MCPO_HOST:-http://localhost:8000}" | |
| MCPO_TOKEN="${MCPO_TOKEN:-supersecret}" |
| import os | |
| import re | |
| from typing import Callable, Any | |
| from youtube_transcript_api import YouTubeTranscriptApi | |
| from youtube_transcript_api.formatters import TextFormatter | |
| class EventEmitter: | |
| def __init__(self, event_emitter: Callable[[dict], Any] = None): | |
| self.event_emitter = event_emitter |
| INPUT=$1 | |
| # TY https://github.com/paulpaul999/vr-video-notes/blob/main/vr-to-flat/README.md | |
| ffmpeg -i $INPUT -filter_complex " | |
| [0:v]crop=iw/2:ih:0:0[left]; | |
| [0:v]crop=iw/2:ih:iw/2:0[right]; | |
| [left]v360=input=hequirect:output=flat:d_fov=125:w=1920:h=1080:pitch=0[flattened_left]; | |
| [right]v360=input=hequirect:output=flat:d_fov=125:w=1920:h=1080:pitch=0[flattened_right] | |
| " \ | |
| -map "[flattened_left]" -c:v libx265 -crf 18 -pix_fmt yuv420p flattened_left.mp4 \ |
| # BOOK_SRC=mp3s/what-govt-has-done-to-our-money BOOK_DEST=What-Government-Has-Done-To-Our-Money.m4b bash m4b-tool.sh | |
| docker run -it --rm -u $(id -u):$(id -g) -v "$(pwd)":/mnt sandreas/m4b-tool:latest \ | |
| merge -vv --jobs=3 --ffmpeg-threads=3 "/mnt/$BOOK_SRC" --output-file="/mnt/$BOOK_DEST" |
| import https from 'https'; | |
| import request from 'request'; | |
| import fs from 'fs'; | |
| import bodyParser from 'body-parser'; | |
| var jsonParser = bodyParser() | |
| const backend = { | |
| 'proto': 'https', | |
| 'host': 'your-instance-name.openai.azure.com' |
This paste.txt is a transcript of a podcast episode. Generate a concise descriptive non-click-baity podcast title. Also generate a concise descriptive non-click-baity episode description using "we" language like "we cover ...". Finally, provide a concise representative bullet list of topics along with when those topics start based on timestamp in format "- HH:MM:SS ".