推論系統

推論 runtime、量化、 serving、KV cache、成本與效能。

代理工具

DeepRepoQA Uses Monte Carlo Tree Search to Trace Cross-File Code Relationships, but Evaluation Still Relies on LLM Judges

Rather than having coding agents search along a single path, DeepRepoQA uses MCTS to compare multiple repository exploration branches and synthesizes answers from evidence with line-number citations. Its authors report gains of 4 to 7 percentage points on SWE-QA, but data contamination, inference costs, and limited cross-language testing remain to be validated.

代理工具

Pipette Open-Sources On-Device Model Benchmarking for Accuracy, Latency, and Memory—but Rankings Still Cannot Be Compared Directly Across Devices

Liquid AI and Artificial Analysis have released Pipette, which measures on-device inference across more than 1,000 combinations of models, quantizations, runtimes, devices, and context configurations. Speed and memory are measured on physical devices, while quality scores are generated separately on H100 GPUs, so the two testing paths must be distinguished when interpreting its combined charts.

AI 安全

TRACE Joins the Linux Foundation: Using Hardware Attestation to Prove Where an Agent Runs, but Not That Its Behavior Is Correct

The Linux Foundation has accepted the TRACE specification, which creates portable cryptographic evidence for AI agents’ models, execution environments, policies, and tool calls. The current v0.2 remains a Developer Preview: it can prove that records are linked to an attested environment, but not that an agent completed its task or that the policy itself is secure.