Open Source Is Eating the World
summary
Argues that open source now powers the machine‑learning surge, citing runnable projects like DiffusionBee on a laptop and GPT‑for‑All that reproduce capabilities of giant closed models at far fewer parameters. Cites industry data: more than 40 commercial open‑source companies exceed $100M ARR, and a leaked Google memo warns open models outcompete massive proprietary models. Describes building Fortress app store to deploy Mastodon/Vault Warden/SyncThing easily and says the app‑store approach works in practice.
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chapters (32)
- 0:00Intro
- 1:22Outline
- 2:02Software is eating the world
- 2:47Proprietary software
- 4:41Data privacy issues
- 5:12Perseat pricing
- 6:17Security issues
- 6:34Software customization
- 7:50Open Source is eating AI
- 8:51AI is not learning
- 9:29Artificial Intelligence
- 9:50Salami
- 10:39Habitat
- 11:04Diffusion B
- 12:02Language
- 13:01Software Industry
- 13:28The Winner
- 13:55The crumbs
- 15:24Open AI
- 15:48Smart Light Bulbs
- 16:23Ethical Issues
- 17:21How Do You Make Money
- 17:47Commercial Open Source Index
- 18:44This is within your reach
- 19:38Dual license
- 20:17Open Core
- 20:46Support
- 21:09Fake Open Source
- 22:03Ventral Open Source
- 22:52Open Source Applications
- 23:34Social Networks
- 24:52Privacy
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