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 ".
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| ollama rm active-big:latest | |
| ollama create active-big -f <(echo FROM qwen3:30b-a3b) |
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| // index.ts | |
| import { $ } from "bun"; | |
| const token = process.env.BEARER_TOKEN; | |
| if (!token) { | |
| throw new Error("Missing BEARER_TOKEN environment variable"); | |
| } |
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| 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 |
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| #!/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}" |
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| 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 |
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| 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 \ |
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| # 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" |
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| 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' |
In my use case, I run a K3D cluster in my home and wanted to resolved my local .home.arpa domain hosts (eg ponics.home.arpa) via my router DNS from the pods rather than setting static IPs in DHCP and manifests.
The solution was pretty simple: update in kubectl edit cm/coredns -n kube-system to replace in forward . 192.168.0.1 so domains not handled by CoreDNS used my router as the upstream.
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