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The converse is also worth asking — whether simulating artificial environments (for instance a 3d representation of a Youtube video) might have unintended negative consequences. Fei-Fei Li’s startup World Labs, which aims to make the leading “world model” — an alternative to language models based on tokenizing physical space rather than words — recently raised a substantial amount of money. As consumer-facing robots become more plausible, the business case for such a model is obvious. But what physical spaces are “world” models actually being trained on? The contemporary physical environment, sound-proofed, plastic-coated, and artificially-colored, is radically different from the environment that Homo sapiens evolved to excel in.

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Apple’s new Containerization framework (announced at WWDC 2025) is interesting here. Unlike Docker on Mac, which runs all containers inside a single shared Linux VM, Apple gives each container its own lightweight VM via the Virtualization framework on Apple Silicon. Each container gets its own kernel, its own ext4 filesystem, and its own IP address. It is essentially the microVM model applied to local development, with OCI image compatibility. It is still early, but it collapses the gap between “local development containers” and “properly isolated sandboxes” in a way that Docker Desktop never did.

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