AI Engineering Signal #79
GPT-5.6 production migration logs 2.2x faster responses and lower per-call costs on a live agent pipeline.
Signals
Claude Fable unblocks a 6-month physics research problem
update capability assumptions for long-horizon reasoning before ruling out model-as-collaborator workflows.
Claude Code burns 33k tokens before reading the prompt
OpenCode's 7k baseline cuts inference cost materially; audit token overhead in all coding agents now.
Web
China claims optical chip runs AI inference at a fraction of compute
if validated, checkpoint inference accelerator procurement roadmaps within the next planning cycle.
Web
Sticky Routing paper reduces MoE memory pressure at serving time
training-time expert placement changes are worth testing before next MoE deployment.
ArXiv
Anthropic Max tier losing flagship model access
enterprise procurement contracts tied to specific model tiers need access-guarantee clauses reviewed.
The Take
Real migration numbers and an unblocked physics problem carry more signal than any leaderboard this week. The cost gap between naive and disciplined token usage is now an engineering decision with measurable dollar consequences — not a research question.
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