SIGNAL

快速补充信息

确认原始信息后保存;陌生来源不会自动启用抓取。

补充来源

仅加入来源库,未启用自动抓取。当前信息可单独保存。

···

前沿

模型、智能体与 AI 产品动态 · 10 条

···

筛选

可信度

当前数据未提供独立高 / 中 / 低评级;请结合来源性质和原文判断。

自定义

历史筛选按来源真实发布时间。 待下次日报

筛选
清除高级筛选
查看全部真实信息 →
研究

Introducing LifeVal, a benchmark measuring how well AI helps people complete everyday tasks, from finding childcare to managing finances and government paperwork.

关注方向
AI
研究

Agent skill: describe your stack in a sentence, get an architecture diagram with official logos

关注方向
智能体
研究

Release v5.21.0 New Model additions MiniCPM-OCR MiniCPM-OCR is a document-understanding model from OpenBMB's MiniCPM-V family. It keeps the MiniCPM-V 4.6 architecture, which pairs

关注方向
软件、模型、办公
研究

One 8 KB skill that replaces REA (Reverse Engineer Anything): plain CLI tools, no MCP. Benchmarked: 38% faster, 35% cheaper.

关注方向
智能体、软件
研究

Release v5.19.0 New Model additions EmbeddingGemma2 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture. It encodes text, images, audio,

关注方向
软件、模型、办公
研究

MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.

关注方向
AI
研究

Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builde

关注方向
AI
研究

Release v5.17.0 New Model additions HYV4 Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed

关注方向
模型
研究

PerceptionBench evaluates visual perception at the level of atomic capabilities discovered from model failures, measuring what multimodal models actually see rather than what they

关注方向
模型
研究

WorldVQA is a benchmark designed to evaluate atomic vision-centric world knowledge in Multimodal Large Language Models (MLLMs).

关注方向
模型