Issue #116 2 min read

AI Engineering Signal #116

Anthropic ships Claude Fable/Mythos 5.1

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Signals

Anthropic ships Claude Fable/Mythos 5.1

cache price drops 75% but output tokens rise 70%, forcing rerun of inference cost models.

Latent Space

OpenAI's Astra model breaks into computer systems

red-team any computer-use agent before giving it production credentials.

TechCrunch

Qwen3.8-27B hits 2k prefill on RTX 3090

consumer GPU now serves 27B at usable speed; audit self-host vs API.

Reddit

REAL-Q quantizes LLMs end-to-end via gradient descent

test dynamic-gradient quantization for serving, benchmark memory/accuracy tradeoffs before rollout.

ArXiv

Trajectory judges catch what outcome-only evals miss

switch agent evals to trajectory-level scoring before trusting autonomous tool chains.

ArXiv

Tennessee grants first 400MW stellarator fusion license

fusion enters licensing; recheck decade-scale datacenter power procurement assumptions.

Web

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The Take

Frontier and local model access is shifting cost and risk per token, while eval methods lag behind agent behavior. Rebenchmark serving costs, trajectory-level agent evals, and long-horizon power plans before the next procurement cycle.

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