全部 AI 动态

Gartner predicts cost pressure will force more than 80% of neocloud providers to cease independent operations by 2030. Hyperscalers face less risk because their large, diversified revenue could plausibly sustain AI investments for years. Gartner also forecasts AI-optimized IaaS spending will grow from $66B in 2027 to $174B in 2030. That growth is too low for most AI compute providers to recover their investments before current AI chips are replaced. AI data center owners would need $8.5T in cumulative revenue through 2030 to cover announced capex, financing costs and a 12% return on invested capital, yet Gartner forecasts attributable AI revenue of no more than $3.6T. On the current trajectory, more than $4T in asset value could be exposed to write-down risk through 2032, and Gartner does not expect the 12% return to be reached before the end of 2032.

卧槽，MiniMax H3 现在连消费级显卡都能跑了！ FastH3 Omni 正式开源！ 之前只能文生视频，现在直接升级全能模式： 图片、视频、音频都能作为参考 一次生成画面和同步音频 角色、动作、声音都能控制 支持消费级显卡本地部署 这波开源，AI 视频创作的门槛又要降了！🤣

Cindy just crossed 5,000 ⭐ on GitHub! Thank you to everyone building with us. Open-source AI agent that drives your browser, computer and phone. Free 👉 https://github.com/makecindy/cindy

More reference control. Fewer denoising steps. More places to run H3. The latest community contributions span 8-step reference-conditioned video + audio, 4-step distillation, sparse attention, and reference-token compression - alongside serving and workflow integrations across GPU servers, TPUs, and Apple Silicon. What matters is what this enables: more affordable experimentation, finer creative control, and more choices about where and how video generation runs. Open models become more useful when the community can improve the methods, adapt the runtime, and build workflows around them. Credit to @haoailab @yisun0618 @lanfeng491270 @guocheng_qian @Alissonerdx @ddalcu @tazmannner @HaochengXiUCB @huggingface @Jhuaplin, and the PTD, DMAD, SparkH3, TorchTPU and FlashML teams - including Zhengming Yu and zechengtang on GitHub. 11 additions to the H3 ecosystem index. Thank you to everyone building, testing, and sharing. https://github.com/MiniMax-AI/awesome-minimax-h3-integration

A lot of people ask me how I build games. Well, it's pretty simple and I call it "vibecoder dream" Before going to bed, I give a simple game idea to Tripo CLI + Unreal CLI, then, using ORCA CLI, let Fable orchestrate everything at max effort, with 10+ Opus 5.5 agents running at high effort. By the time I wake up, I usually have something like this.

@Kling_ai 的 Kling 4.0 已于 D0 在 Runware 上线 🎬 支持最长 30 秒的 1080p 视频，带原生音频，此外还有： - 多关键帧支持，包括首帧、中间帧和尾帧 - 每次请求最多支持 15 个输入，涵盖关键帧、参考图像、参考视频和元素 - 基于提示词编辑现有片段 输出价格低至每秒 $0.133，未来 7 天在常规价格基础上享 15% 折扣。 它加入了我们 API 上已有的 19 个 Kling 模型，覆盖视频、图像、数字人和唇同步。 已经在 Runware 上调用 Kling 模型？将你的模型 ID 切换为 klingai:kling-video@4.0

The problem isn’t that AI is intelligent. It isn’t. The problem is that too many adults (but not all) are at once mechanistic, imitative, unimaginative, stupid, formulaic, influenceable, & gullible, arrogant beyond their skill set, & too expensive to maintain.

Pretty much. As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers. SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue. That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.