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This week’s digest spans a fascinating dichotomy: the preservation of computing history through Microsoft’s open-sourcing of MS-DOS 1.0, and the rapid advancement of open-source AI models and infrastructure. The MS-DOS release is more than a nostalgia trip—it’s a teaching tool for understanding early PC architecture and software licensing. Meanwhile, the AI sector sees major shifts: Meta abandoning open-source Llama for proprietary Muse Spark signals a potential retreat from openness, while Pinterest’s move to replace expensive AI with open-source models proves cost efficiency drives adoption. The funding of Featherless.ai ($20M) and Mistral’s recognition by TIME underscore growing demand for accessible AI infrastructure. Moonshot AI’s FlashKDA open-source release hints at continued innovation in attention mechanisms. For the open-source community, these stories highlight a balancing act between legacy preservation and cutting-edge development, with economic pressures increasingly favoring open solutions.
News Stories
- Microsoft open-sources MS-DOS 1.0, offering a rare look at PC history – XDA
- Microsoft open-sources “the earliest DOS source code discovered to date” – Ars Technica
- Agent-Ready AI Models – Trend Hunter
- Inside Pinterest’s efforts to replace expensive AI with open-source models – Business Insider
- Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks – MarkTechPost
- Meta abandons open-source Llama for proprietary Muse Spark – The New Stack
- Featherless.ai pulls in $20M to scale serverless hosting for open-source AI models – SiliconANGLE
- Mistral: 2026 TIME100 Most Influential Companies – Time Magazine
- Canadian co-founded Featherless AI secures $20 million USD to build open-source AI infrastructure – BetaKit
- Featherless.ai secures $20M to expand serverless platform for open-source AI – Tech.eu