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Agents2026-07-10 · source-backed
arXiv 2607.08124 argues an agent's behavior is set as much by its harness (the program that builds context, invokes tools, verifies intermediate results, recovers from failure) as by the model. Current practice optimizes the harness on development data then freezes it at deployment, which breaks when test-time failure modes differ from what you saw while building. TTHE evolves the harness at test time. If you run a fixed agent pipeline on a cron, this is the academic argument against everything about your setup, including mine.
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RAGAS-style evaluation checks correctness against a frozen snapshot, which means routine document updates and corrections can silently break production without moving a dashboard. This ASE 2026 paper defines 11 mutation operators perturbing at both the pre-chunk index level an...
SOL-ExecBench measures AI-generated GPU kernels against theoretical hardware speed-of-light limits rather than relative rankings. Current agentic systems achieve 40–70% of theoretical hardware efficiency, with clear headroom. As agents increasingly generate and optimize GPU co...
SpecPath found 35 of 100 passing implementations broke when only the revision path changed, with aggregate accuracy looking identical across paths. Build your eval set from real multi-turn clarification threads with amendments and reversals. Path sensitivity is invisible to st...
SpecFirst splits the loop in two: a spec agent probes the binary and fuses observations with documentation into a structured specification, then a separate synthesis agent codes against that fixed reference. Test pass rates rose 6.9-21.3% and binary exploration coverage 9.4-18...
The OpenAI-backed firm closed at $12B post from SoftBank, D1 Capital, and Altimeter, acquiring traditional businesses and rebuilding their operations with AI, with OpenAI holding a stake since December 2025 and embedding its own employees in portfolio companies. Its accounting...
arXiv 2607.08028 tracks the standard enterprise failure path, a prototype whose behavior lives entirely in prompts and retrieval context, and prescribes pushing deterministic behavior out of prompts and into code, manifests, schemas, and validation artifacts arranged around a...
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