别再只拿 AI 生成短视频玩画质内卷了！@alayastd 开源的 Alaya World 直接实现 “言出法随” 的交互式生成世界 ✨ 随便丢一张图或者一句话，就能生成完整可自由探索的场景 拖动镜头向前走，画面会实时延伸展开；中途输提示词就能召唤巨兽、切换水墨 / 赛博 / 像素多种画风 连续漫游一分钟都很难出现画面崩坏，长时一致性这块直接拉满 普通人拿来二创整活门槛极低：自定义施法咒语、一键切换世界画风投票，看完 Demo 就能直观搞懂这款世界模型到底强在哪 项目诚意拉满，模型权重、推理代码现已全部开源，本月还会放出完整训练全链路 不管是想复现测试，还是做 AI 游戏原型、虚拟场景预演的开发者，直接冲仓库： 想看超多实机演示案例，戳项目主页： #AI世界模型# #AIGC整活#

AI’s First Disruption Was Media—But Real Money Came From Replacing Coders AI undeniably disrupted media first. Better search algorithms, smarter content recommendations, and the explosive growth of AI-generated text, images and videos have supercharged both traditional media outlets and individual creators. But here’s the key insight: big AI labs barely profit from media users. ChatGPT subscriptions and similar consumer AI tools generate some revenue, yet the income is nowhere near enough to cover the massive costs of model training and inference. The reason is simple. Media professionals and content teams typically have limited budgets and a consistent habit of optimizing and cutting expenses. This makes media a low-margin market for AI companies. The real cash flow breakthrough for AI came from one single vertical: replacing programmers. We can see clear proof from Anthropic’s skyrocketing annualized revenue — the company is now reportedly profitable. It also explains why every major AI lab is fully doubling down on coding agents and agentic AI. Coding is high-value, high-salary work, which creates enormous and measurable ROI for AI adoption. Now the video industry is following the same trend. AI video tools like ByteDance’s Seedance, combined with short dramas, subscription services and advertising models, are already stably generating positive cash flow. The bottom line is clear. As AI token costs keep falling, AI will build closed, profitable business loops in more and more industries. Viral AI hype means nothing.A stable, running commercial flywheel is the true starting point of sustainable AI progress. #AI# #Tech# #AIBusiness# #AgenticAI# #CodingAI#