The model layer’s commoditizing, this has been proven. What’s less talked about is that power and lock-in have moved up the stack to the harness and accumulated memory. Meanwhile, “open” itself splits into release rungs, license terms, deployment footprints, and provenance that
Middle powers can win by building "roads", and focusing less on building "engines." @InstituteGC builds on the findings of our recent report The State of Open Source AI to argue for investing in the AI harness.
Read about it here: institute.global/insights/tech-…
Owning your AI shouldn't take a whole engineering team and months you can't spare. At ALL IN, Mozilla and @Mila_Quebec announced a new initiative to build an open source AI foundation layer — so any org can run advanced AI locally, on their own terms. 🧵
