AI News · 2026-09-15

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Perplexity 自研 CobbleDB 替代 AWS DynamoDB,每年最多可节省一亿美元

AIHOT ·

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Perplexity CEO Aravind Srinivas 宣布自研键值数据库 CobbleDB,替代 AWS DynamoDB 用于快速网页内容抓取,迁移后每年最多可节省一亿美元。该项目由两名工程师和数百个持续运行的 Computer 智能体在两个月内完成核心基础设施,官方研究称热存储批次读取延迟较 DynamoDB 全分布下降约 5 倍(P50…

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Trail of Bits 批评 1Password 的 AI 补丁基准存在误导,并发布两个补丁验证 Agent 技能

AIHOT ·

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Trail of Bits 发文批评 1Password 8月6日发布的 FLAWED 报告,称其 26% 的 AI 干净修复率受四项实验设计选择影响而失真,包括刻意指示智能体应用错误修复的提示词占 22% 数据、36% 的试验禁止编译测试,以及不同推理档位设置。

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GroundBench: A Factorized, Counterfactual Benchmark for Locating VLM Affordance Failures

arXiv cs.RO ·

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A companion evaluation found that naming the target part in a manipulation prompt increased action accuracy by 0.32-0.63 across eight vision-language models, with no model outpe…

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Atomic Motion Coordinate for Language-Steerable and Force-Responsive Manipulation

arXiv cs.RO ·

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Can changing only the language instruction redirect a VLA policy's end effector, or does the visually driven motion prior dominate? We present Atomic Motion Coordinate, a geomet…

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Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks

arXiv cs.CL ·

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We introduce Crypto Accounting Bench (CAB), a benchmark for assessing whether frontier and open-weight language models can reconstruct the complete journal entry that an organiz…

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Can We Trust the Judges? Validation of Factuality Evaluation Methods via Answer Perturbation

arXiv cs.CL ·

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Evaluating the factual correctness of large language models (LLMs) is vital for many applications. But are our evaluation tools themselves trustworthy? Despite the rise of factu…

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Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine

NVIDIA Technical Blog ·

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Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE... Mixture of expe…

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How Fyxer built an AI executive assistant people trust

OpenAI ·

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Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

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