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DataSpace finds harnesses shift data-task accuracy by 15 points

DataSpace finds harnesses shift data-task accuracy by 15 points

Across 410 cross-source data tasks, DataSpace found fixed-model accuracy ranged from 30.98% to 46.34% across harnesses. Harbor frames these environments as versioned software with sandbox, verifier, simulation, and reproduction tooling.

⚙️Harness Engineering24th August·5 min read
Breaking

ASI-Bench finds full procedures lift research-agent scores to 50.91

Across 60 research projects, ASI-Bench found full procedures averaged 50.91, versus 29.10 for prompts naming only a method. Other evaluations similarly measure whether procedural skills improve execution rather than merely adding more instructions.

ASI-Bench finds full procedures lift research-agent scores to 50.91
New
Agent Skills·24th August·4 min read
OpenAI fixes Codex long-session usage accounting

OpenAI fixes Codex long-session usage accounting

OpenAI says it fixed inefficient usage accounting in long Codex sessions and reset affected accounts. Some users report that business accounts or active sessions did not receive the reset.

⌨️Codex23rd August·3 min read
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⌨️Agentic Engineering(5)
🧠Models, Serving & APIs(18)
⚙️Building Agents(10)
🛡️Trust, Evaluation & Reliability(8)
💳Pricing, Limits & Cost(1)
🔎Knowledge, Memory & Retrieval(1)
📈Adoption & Market Strategy(1)

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Breaking

Anthropic says serving test remapped Claude Code effort settings

Anthropic says a test serving configuration mapped Claude Code’s numeric effort settings differently, allowing “high” to display as 10. The company says evaluations found no regression and the underlying models were unchanged.

Anthropic says serving test remapped Claude Code effort settings
New
Claude Code·22nd August·3 min read
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