aigc

这篇文章讨论了AIGC视频制作中的编辑痛点，并介绍了Fotor Agent作为解决方案，它能简化整个制作流程，使视频编辑更便捷且成本更低。

This article recommends 6 free online platforms for learning practical skills such as vocational education, software operations, AIGC, and cloud computing certifications, helping people prepare for career development after unemployment in advance.

The author shares character movement issues encountered when creating AIGC with Seedance 2.5, introduces Higgsfield's open-source K-pop action series "Zephyr: Special", and summarizes key techniques for writing prompts.

Japanese AIGC blogger used Seedance 2.5 to generate a 30-second video of Boa Hancock from One Piece participating in a water obstacle course challenge, showcasing detailed prompt design and physics simulation effects.

The blogger collected prompts of popular AI videos on the market and compiled them on a website, and also integrated an Agent so Codex can learn these prompts to create high-quality AI videos.

A developer explores using classical machine learning to detect LLM-generated web fiction, creating an open-source demo and model with ~85% single-sentence accuracy.

Share three emotional triggers (memory anchor, cultural heritage, aesthetic fusion) for AIGC history video creation, pointing out that high-quality AIGC history videos easily get high likes on platforms.

袋鼠帝 shared two open-source AI skills he developed (viral-topic and viral-title) to help self-media creators quickly find low-follower viral topics across platforms and generate suitable titles. He also introduced the experience of using them in 办公小浣熊 桌面端2.0.

Lists 10 money-making directions for ordinary people in the AI era, including user-facing AI communities, enterprise AI services, arbitraging the information gap between China and the US, selling courses, vertical domain applications, AI company marketing, AIGC, AI variety shows, AI learning IP, and investing in AI stocks.

This article reports how Semir Group deeply integrated AI into over 400 business scenarios including supply chain, marketing, and visual design, successfully reducing new product development cycles from 6 months to 15 days, achieving tens of millions in cost savings and hundreds of millions in collections, demonstrating AI's real value in traditional manufacturing.

MM-WebAgent is a hierarchical agentic framework that generates coherent and visually consistent webpages by coordinating AIGC-based element generation through joint optimization of layout and multimodal content. The paper introduces a benchmark and multi-level evaluation protocol, demonstrating improvements over code-generation and agent-based baselines.