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GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and...

GitHub Will Use Copilot Interaction Data from Free, Pro, and Pro+ Users to Train AI Models

InfoQ
InfoQ · 2026-04-02T10:17:00Z

In this episode, Shweta Vohra and Joseph Stein explore what changes when software systems start planning, acting, and making decisions on their own. The conversation distinguishes truly agentic...

Podcast: [Video Podcast] Agentic Systems Without Chaos: Early Operating Models for Autonomous Agents

InfoQ
InfoQ · 2026-03-25T11:00:00Z

In the lab, your AI model might seem perfect, but the real world is often where it breaks.

AIOps 101: The 3 Pillars of Reliably Deploying AI Models (Sponsored)

KDnuggets
KDnuggets · 2026-03-18T00:21:40Z

Six business models piloted in Asia offer lessons for global leaders in any market—and just might be the key to the next wave of sustainable growth.

Six breakthrough business models reshaping global growth

McKinsey Insights & Publications
McKinsey Insights & Publications · 2026-03-04T00:00:00Z
何恺明团队再出大招:Drifting Models 挑战扩散模型,单步生成高质量图像

何恺明团队在arXiv发布了《Generative Modeling via Drifting》论文,提出了Drifting Models生成模型,训练时分布逐步漂移,推理时仅需一步生成,速度提升100倍,质量更佳,标志着生成模型领域的重要转折,期待广泛应用。

何恺明团队再出大招:Drifting Models 挑战扩散模型,单步生成高质量图像

Micropaper
Micropaper · 2026-03-03T00:30:00Z

For most small- and medium-sized business leaders, the question about AI has shifted. While it used to be “Should we use AI?”, it’s now “Where should we run it?”

Cloud vs. Local vs. Hybrid for AI Models: A Practitioner’s Guide (Sponsored)

KDnuggets
KDnuggets · 2026-02-24T23:16:39Z

As UX and product leads, we sit right at the intersection of user needs, business goals, and technical constraints. This is exactly where most AI products fail. I’ve seen this pattern repeatedly...

Stop Building Streetlamp Models: The Decision-First Framework for AI Products

UX Magazine
UX Magazine · 2026-02-17T07:33:04Z

🔬 Automating Science: World Models, Scientific Taste, Agent Loops - Andrew White

🔬 Automating Science: World Models, Scientific Taste, Agent Loops - Andrew White

Josherich的博客
Josherich的博客 · 2026-01-28T00:00:01Z
MAI-UI - A GUI-centric agent framework supporting models ranging from 2B to 235B to build …

文章讨论了MAI-UI智能体框架,该框架以图形界面为中心,支持从小型到超大规模模型(2B至235B)的交互体验,旨在将基础模型能力应用于真实世界任务,提供设备与云的协同、事件感知和多模态输入支持。

MAI-UI - A GUI-centric agent framework supporting models ranging from 2B to 235B to build …

云原生
云原生 · 2026-01-09T09:51:26Z
怒喷大模型连狗都不如?揭秘硅谷集体幻觉与物理常识缺失,为何只有新架构才能通往通用人工智能|Yann LeCun World Models AMI LLMs AI Startup

杨乐坤在访谈中批评大语言模型,认为其智能水平不及狗,因缺乏与物理世界的关联。他提出的抽象世界模型(JEPA)强调抽象、分层、预测和最小消耗,以解决AI的局限性。杨乐坤计划创办AMI公司,专注于开源研究,支持自动驾驶和机器人技术。

怒喷大模型连狗都不如?揭秘硅谷集体幻觉与物理常识缺失,为何只有新架构才能通往通用人工智能|Yann LeCun World Models AMI LLMs AI Startup

硕鼠的博客站
硕鼠的博客站 · 2025-12-23T00:56:44Z
BALROG - A benchmark suite for evaluating agentic large language models and …

BALROG是一个开源基准套件,用于评估大语言模型(LLM)和视觉语言模型(VLM)在游戏任务中的推理与决策能力。它通过设计游戏任务和评测指标,帮助研究者比较不同模型的表现,支持模型选择与微调。该套件基于Python实现,采用模块化架构,关注决策过程的可测量性,并支持跨模态推理能力的评估。

BALROG - A benchmark suite for evaluating agentic large language models and …

云原生
云原生 · 2025-12-08T13:29:00Z

Introduction Vision Language Models (VLMs) are crucial for bridging the gap between visual and textual data by combining image and language understanding. Some important VLMs’ use cases are: VLMs...

Supporting Vision Language Models (VLMs) provided by OCI GenAI service within the Heatwave

Planet MySQL
Planet MySQL · 2025-12-04T18:38:17Z
JiT论文阅读Back to Basics-Let Denoising Generative Models Denoise

本文探讨了自然图像在低维空间中的特性,提出通过低维空间学习降噪以降低模型复杂度。实验结果表明,x预测空间在高维噪声下表现最佳。作者逻辑清晰,实验设计严谨,值得科研者参考。

JiT论文阅读Back to Basics-Let Denoising Generative Models Denoise

Yunfeng's Simple Blog
Yunfeng's Simple Blog · 2025-11-23T08:55:40Z

US healthcare organizations should rethink care and business models in response to substantial economic pressures and evolving care demands.

Reimagining sustainable healthcare and business models

McKinsey Insights & Publications
McKinsey Insights & Publications · 2025-11-18T00:00:00Z

A general-purpose agent built on large language models to automate software engineering tasks and boost developer productivity.

Trae Agent - A general-purpose agent built on large language models to automate software …

云原生
云原生 · 2025-11-14T09:20:03Z

Introducing T5Gemma, a new collection of encoder-decoder LLMs.

T5Gemma: A new collection of encoder-decoder Gemma models

Google DeepMind Blog
Google DeepMind Blog · 2025-10-25T18:14:00Z

We’re announcing new multimodal models in the MedGemma collection, our most capable open models for health AI development.

MedGemma: Our most capable open models for health AI development

Google DeepMind Blog
Google DeepMind Blog · 2025-10-25T18:02:50Z

I'm learning Domain-Driven Design (DDD) and studying different architecture patterns, and I’ve come across two seemingly conflicting design philosophies around domain modeling. 1. Rich Domain...

How should domain models be designed — rich domain models with encapsulated logic vs. anemic models with separate service/util layers?

Hot Monthly Questions - Software Engineering Stack Exchange
Hot Monthly Questions - Software Engineering Stack Exchange · 2025-10-24T00:05:31Z
译: Programming Language Memory Models (Memory Models, Part 2)

编程语言内存模型探讨了并行程序中线程共享内存的行为保障。通过原子变量和操作,程序可以同步线程,避免数据竞争。现代语言如C、Java和C++提供顺序一致的原子操作,确保无数据竞争的程序表现为顺序一致执行。尽管细节不同,各语言都致力于消除数据竞争,提高并发程序的可靠性。

译: Programming Language Memory Models (Memory Models, Part 2)

Steins;Lab
Steins;Lab · 2025-10-01T06:00:33Z
译:  Hardware Memory Models (Memory Models, Part 1)

本文探讨了硬件内存模型对多线程程序的影响。随着多核处理器的普及,程序员需理解内存一致性问题及硬件和编译器优化对程序行为的影响。顺序一致性是理想模型,但现代硬件常偏离此模型,导致程序在不同平台上表现不一致。文章还讨论了通过内存屏障等手段确保程序正确性的方法。

译: Hardware Memory Models (Memory Models, Part 1)

Steins;Lab
Steins;Lab · 2025-09-30T14:54:32Z
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