Releases

AWS reported that Continuum for code vulnerabilities passed 819 of 920 CyberGym-E2E tasks within the benchmark's 90-minute limit, achieving an 89.0% end-to-end success rate, 23.1 percentage points above the previous public high of 65.9%.

Harvey published its architecture for connecting agents to external tools and systems.

Cohere proposed RCP-nDCG@10 as a retrieval-quality measure designed to align more closely with human relevance judgments.

Anthropic introduced a new life-sciences research group and laboratory and reported that Claude agents identified a novel array-associated reverse-transcriptase system with CRISPR-like repeats.

fal reported H3 Max ranked first in its human-preference evaluation across quality, prompt understanding, and aesthetics, with top results also cited from independent benchmarks.

Modal reported support for up to one million concurrent Sandboxes.

Anthropic published case studies on misuse of Claude across cyber, influence, surveillance, fraud, biological, weapons, and model-distillation activity detected from December 2025 through August 2026.

SpaceXAI published LatchBio evaluation results reporting strong detection and refusal performance on adversarial biological tasks.

Cursor published research on the economics and scaling behavior of large coding-agent swarms.

CoreWeave reported record MLPerf Training v6.0 results, including training DeepSeek-V3 in approximately two minutes on a large NVIDIA GB300 NVL72 cluster.

IBM introduced a system for composing model adapters into deployable specialized models.

Cursor published lessons from operating cloud coding agents at scale.

Harvey introduced LAB, its benchmark for comparing legal-agent quality, practice-area performance, and cost efficiency.

Harvey described the infrastructure built to execute secure legal agents at scale.

Perplexity published details of the security architecture and safeguards built into Computer.

Artificial Analysis data placed CoreWeave first for Kimi K2.6 inference throughput and price-performance among evaluated providers.

Cursor described its continuously improving agent harness and the feedback loops used to develop coding agents.

Perplexity published its approach to building and evaluating accuracy in frontier AI systems.

Scale Labs introduced repository-grounded rubrics for evaluating and reranking candidate software patches without executing tests.

Scale Labs introduced VeRO, a reproducible harness using versioned agent snapshots, controlled budgets, structured traces, and reference procedures.

Scale launched SWE Atlas, initially releasing Codebase QnA to evaluate how coding agents investigate and reason about real software systems.

Moonshot published Mixture-of-Block Attention code and research for efficient long-context modeling.

Scale researchers released LHAW, a framework for generating underspecified long-horizon tasks and evaluating whether agents clarify ambiguity and recover performance.

Mercor released the open APEX-Agents benchmark for long-horizon professional work; frontier agents completed fewer than 25% of tasks on the initial evaluation.

xAI published its frontier-AI risk-management framework covering capability evaluation, safeguards and model development practices.