从现实到反馈：KDC 完整工程模型全景

本文给出 Reality-to-Feedback 闭环以及对象化、运行时化、治理化三层工程模型，同时区分已验证实践、理论推导和开放问题，说明企业如何从一个高影响业务闭环开始渐进采用。

Introducing Gemini 3.7 Flash

（翻译）介绍 Gemini 3.7 Flash

Gemini 3.7 Flash is our most intelligent workhorse model yet for coding and agents.

为什么手机内存进入英伟达机柜后，贵过HBM？

过去长期由HBM主导的AI服务器内存账单，正在被“手机内存”改写。 8月11日，外媒Wccftech援引美国银行（BofA）测算称，英伟达面向Vera Rubin Ultra NVL144的Kyber机柜将配置124.4TB HBM4E，成本约为250万美元；同柜216TB LPDDR5X虽然单价更低，但总成本趋近280万美元，超出前者约12%。

Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission

（翻译）加速科学发现的前沿：Google 对 Genesis Mission 的 4000 万美元承诺

Google is committing $40 million in AI tokens and cloud credits to support the DOE’s Genesis Mission and accelerate groundbreaking scientific discovery.

Up to 3.2x Faster Inference with LFM2.5-DSpark

（翻译）LFM2.5-DSpark 最高可将推理速度提升 3.2 倍

A Blog post by Liquid AI on Hugging Face

How Much Memory Does Your Agent Actually Need?

（翻译）你的智能体到底需要多少记忆？

A Blog post by IBM Research on Hugging Face

GPU-Accelerated Clustering for Financial Instruments at Scale

（翻译）GPU加速的大规模金融工具聚类

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters…

State of Open Models: Summer 2026 Observations

（翻译）开源模型现状：2026 年夏季观察

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Thinking of ACE? We Can Do It with Fewer Tokens

（翻译）想到ACE？我们能用更少的Token做到

A Blog post by IBM Research on Hugging Face

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

（翻译）构建低延迟多语言语音智能体：借助 NVIDIA Magpie TTS 实现开放权重与完整部署控制

A Blog post by NVIDIA on Hugging Face

Bringing Nunchaku 4-bit Diffusion Inference to Diffusers

（翻译）将 Nunchaku 4-bit 扩散推理引入 Diffusers

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

美银重磅警告：AI和金融股正被对冲基金疯狂下注做空

美银首席策略师Michael Hartnett最近发了一份报告，调子不太对。

OpenAI掀桌 自研推理芯片"墨西哥辣椒"跑赢英伟达

OpenAI 公布了首款自研推理芯片 Jalapeño 的最新测试结果，在多个模型测试中超过 NVIDIA GB200、GB300 系统的效率表现。