注册并分享邀请链接,可获得视频播放与邀请奖励。

与「Light」相关的搜索结果

Light 贴吧
一个关键词就是一个贴吧,路径全站唯一。
创建贴吧
用户
未找到
包含 Light 的内容
The "Web app" standard for the Agentic Web/OS has arrived. It is essentially the open standardization of the third-party app/plugin ecosystem found in ChatGPT. It consists of Skills and MCP, with MCP covering standards such as MCP Apps and MCP-UI, which allow third-party apps to embed GenUI-based interactive interfaces directly into the main Agentic Web/OS interface. WebMCP is about "embedding Tools within UI," while Agent Plugins / MCP Apps are about "optionally embedding UI within Tools." The core of this kind of "app" ecosystem are Tools, rather than any specific UI representation, such as cards, icon + Activity, or windows. AppFunctions / AppIntents / AppActions on Android, iOS, and Windows, like WebMCP, also belong to the "embedding Tools within UI" model. The current CLI ecosystems around Coding Agents such as Codex and Claude Code are effectively local "native app" ecosystems: apps have to be pre-packaged, downloaded, and installed, and users cannot realistically install too many of them. By contrast, Agent Plugins / MCP Apps can be regarded as a kind of "Web app" ecosystem, because their core functionality is retrieved from the Web on demand. Skills, like manifest-style files such as mcp.json, are lightweight distributions of code with declared metadata, somewhat like HTML: they can be discovered, loaded, activated, and used on demand, in a process analogous to HTML rendering but much more intelligent. This creates an opportunity to extend existing Web standards, which are centered around the distribution of UI resources. Instead of RESTful HTTP exposing only a limited set of actions over resources, the Web could expose a vast long tail of Tools that AI can discover and understand, and that can optionally embed UI. A general-purpose Agent capable of discovering, loading, and running Agent Plugins / MCP Apps on demand would be equivalent to "the browser + Google" of the desktop Internet era. If such an Agent becomes a super app, it could easily abstract away the operating system and become the single dominant super app for most user scenarios, much like the desktop Internet era, rather than the mobile Internet era with many parallel super apps. So such an Agent will naturally tend to integrate into the entire OS and even the hardware itself, much like IE vs. Netscape. That is also why Google, OpenAI, and even ByteDance are determined to build consumer electronics hardware products.
显示更多
The Torch Festival is a traditional event of the Yi and other ethnic minorities in SW China, where locals light fires to drive away pests and evil spirits, protect their crops, and pray for a good harvest.
显示更多
The Torch Festival is a traditional event of the Yi and other ethnic minorities in SW China, where locals light fires to drive away pests and evil spirits, protect their crops, and pray for a good harvest.
显示更多
刚发现一个有点“吓人”的事儿 虽说近期Perp Dex在HIP-3,RWA的加持下搞的如火如荼,但几大龙头Dex的Vault,貌似10.11之后就不挣钱了 Hyperliquid的HLP上个月的APR是0%! 又去看了下Lighter和edgeX的LP,虽然有APR显示,但收入近半年明显也是拉成一条直线,完全不涨了 发生了啥?
显示更多
Vanity mirror check before the night gets started. String lights, warm light, and a little help from someone close. Would you let someone else pick your lip color for the night. #AIVideo# #AIcinema# #ViduAI#
显示更多
Hey #grok# , turn on lights and completed this photo ✨
0
182
1.6K
16
转发到社区
.@drewbrees made throwing 7 TDs in a single game look like light work 😴 @ProFootballHOF Enshrinement -- Saturday 12pm ET on @NFLNetwork Stream on @NFLPlus
0
47
1.3K
155
转发到社区
This Grok Imagine 1.5 is pure magic. The lighting, atmosphere and flawless consistency make it look so real. Grok Imagine creates the most natural and heartfelt videos of any AI.
显示更多
DeepSeek-V4-Flash-DSpark has now completed the r0b0bench core-subset protocol on 2× NVIDIA GB10. ⚡ Quality • GSM8K: 95.0% • HumanEval pass@1: 90.9% • ARC-Easy: 96.0% • IFEval lightweight: 79.5% • BFCL multi-turn: 75.5% Performance • Dedicated C1 decode: 79.2 tok/s • Aggregate output throughput: C1 86.9 · C2 145.9 · C4 239.3 · C6 337.8 tok/s • TTFT mean: 221.9 ms • ITL mean: 68.9 ms Long context Needle retrieval passed at 25%, 50%, and 90% depth across a full 1,048,576-token context. ✅ 0 infrastructure errors ✅ Runtime gate passed ✅ 5/5 canaries passed ✅ Package-backed, reproducible result freeze ✅ Valid for publication These are measured results—not projected capabilities or marketing claims.
显示更多
0
16
121
14
转发到社区
StandX XAU-USD 10 bps order book depth has surpassed 10M+ ! This puts @StandX_Official ahead of leading Perp DEX venues for XAU liquidity: ~6x @Lighter_xyz ~6x @HyperliquidX ~7x @grvt_io nearly 10x @edgeX_exchange Deeper liquidity. Stronger large-order absorption. Better execution for XAU perpetual traders. Read more:
显示更多
0
23
59
10
转发到社区