Wrappers Rival Model Upgrades

Updated: 2025.09.29 22D ago 3 sources
Microsoft’s CLIO orchestration boosted GPT‑4.1 accuracy on text‑only biomedical questions from 8.55% to 22.37%, beating o3‑high without retraining the base model. Structured, self‑adaptive prompting can unlock large capability gains. — If orchestration layers can leapfrog raw models, governance and procurement must evaluate whole systems, not just base model versions.

Sources

New Claude Model Runs 30-Hour Marathon To Create 11,000-Line Slack Clone
msmash 2025.09.29 50% relevant
By shipping orchestration primitives (VMs, memory, multi‑agent) that enable complex tool use and autonomous workflows, Anthropic underscores that system‑level tooling can unlock big capability jumps alongside base‑model gains.
Microsoft To Use Some AI From Anthropic In Shift From OpenAI
BeauHD 2025.09.10 62% relevant
Microsoft blending Anthropic and OpenAI inside Office reflects a system‑level, model‑agnostic approach where orchestration and picking 'the right model for the task' can matter more than upgrading a single base model—echoing the idea that tooling and routing can outpace raw model advances.
Links for 2025-08-11
Alexander Kruel 2025.08.11 100% relevant
Microsoft research blog and numbers cited: CLIO raised GPT‑4.1 from 8.55% to 22.37% on 'Humanity’s Last Exam'.
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