AI subscriptions add up faster than you notice. I'm paying $236/month across seven AI tools — and every company I'm giving money to says they're losing money on me. The math only works because of VC subsidies that won't last. When the bill catches up, you'll wish you'd built your own stack. This playlist tracks what AI actually costs, why it's about to cost more, and what happens when you stop renting and start owning your compute. Topics covered: • What you're really paying every month (the subscription audit) • Why "$20/mo" turns into $200/mo (the enshittification cycle) • Self-hosting the AI tools you actually use • Replacing SaaS with a homelab — what works, what doesn't • When AI is genuinely cheaper than humans, and when it isn't If you've ever stared at a credit card statement wondering when "just one more subscription" became $100+/month, this playlist is for you.
Curated by: Codacus (15 videos)
I was spending $52/month on ChatGPT, ElevenLabs, and image generation APIs. So I moved everything local — LLMs, text-to-speech, image generation — all running on hardware I own, for $0/month. Here's the full stack: - Ollama + Open WebUI (private ChatGPT replacement) - Chatterbox TTS (beats ElevenLabs in blind tests — MIT licensed) - ComfyUI (Stable Diffusion + Flux image generation) - Tailscale (access everything from anywhere, no port forwarding) Everything runs in Docker on a single GPU machine. ⏱️ Timestamps 00:00 The cost problem 00:36 The full stack overview 01:12 Hardware: it's all about VRAM 02:21 Ollama + Open WebUI setup 03:41 Chatterbox TTS setup 04:51 ComfyUI image generation 05:47 Tailscale remote access 06:44 The big picture 07:06 Final thoughts + real numbers 🔗 Resources Docker Compose files → (link in pinned comment) Ollama: https://ollama.com Open WebUI: https://github.com/open-webui/open-webui Chatterbox TTS: https://github.com/travisvn/chatterbox-tts ComfyUI: https://github.com/comfyanonymous/ComfyUI Tailscale: https://tailscale.com 💰 Hardware Recommendations - 8GB VRAM → Small LLMs + SDXL (entry point) - 12GB VRAM → Chatterbox + 14B models - 16GB+ VRAM → Flux image generation - 24GB VRAM → Everything runs simultaneously This voiceover was generated by Chatterbox running on local hardware. #ai #homelab #selfhosted #ollama #docker #privacy