This to-do app actually keeps up with my brain

Speaking is faster than typing, and it actually works ...

Developers say AI coding tools work—and that’s precisely what worries them

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...

Intel Panther Lake Core Ultra review: Intel’s best laptop CPU in a very long time

Intel’s Core Ultra lineup of desktop and laptop processors has been frustrating to review. None of them have been ...
WMUR

WMUR Weather Text Forecast

Bright and seasonably chilly through the end of the work week. The next chance of light snow comes in on Saturday. We're also tracking another blast of arctic air arriving this weekend. Wind chills on ...
CNET

This Simple iOS Trick Makes Typing Accurately a Total Breeze

With more than a decade of experience, Nelson covers Apple and Google and writes about iPhone and Android features, privacy and security settings, and more. Jen Karner has spent the last 10 years ...

开发者们说AI编码工具确实有效，而这恰恰是他们担忧的地方

过去两年，软件开发人员见证了人工智能编码工具的演变，它们从高级自动补全功能发展到如今能够根据文本提示构建整个应用程序。像 Anthropic 的 Claude Code 和 OpenAI 的 Codex 这样的工具现在可以连续工作数小时，编写代码、运行测试，并在人工监督下修复漏洞。OpenAI表示，它现在使用 Codex 来构建 Codex ...

How shopping chatbots might transform retail

For retailers with robust e-commerce operations, agentic chatbots could curtail the budding “retail media” businesses that ...
腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...