Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
Designating Anthropic as a supply chain risk would be an unprecedented action—one historically reserved for US adversaries, never before publicly applied to an American company. We are deeply saddened by these developments. As the first frontier AI company to deploy models in the US government’s classified networks, Anthropic has supported American warfighters since June 2024 and has every intention of continuing to do so.
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At the heart of BuildKit is LLB (Low-Level Build definition). Think of it as the LLVM IR of build systems. LLB is a binary protocol (protobuf) that describes a DAG of filesystem operations: run a command, copy files, mount a filesystem. It’s content-addressable, which means identical operations produce identical hashes, enabling aggressive caching.
The same mechanisms that let a maintainer vouch for a human contributor can cryptographically delegate limited authority to an AI agent or service, with separate credentials and trust contexts that can be revoked independently if something goes wrong. Researchers from the Harvard Applied Social Media Lab and others are already experimenting with compatible apps that blend human and AI participants in the same credential‑aware conversations, hinting at how Linux ID might intersect with future developer tooling.
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While there's a part of me that is sad we won't get to continue building out that online sandbox we spent so many years dreaming up, this is just about the best possible outcome given the circumstances. At the end of the day, Towerborne will live on. No shifts in market conditions, server costs, deprecated middlewares, cloud outages, or any other business realities can ever stop that.