与「Orchestras」相关的搜索结果

Congrats to @SpaceXAI on one more amazing model: Grok 4.6. We benchmarked it as an orchestrator on our Wide-And-Deep-Research benchmark using the Perplexity Computer harness, and it neatly sits on the Pareto frontier of performance vs cost. Available to all Pro and Max users on Perplexity!

🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. Try it now!

A Bush White House spokesman drops a bomb on CNN that nobody saw coming: Barack Obama got on the 2008 Indiana primary ballot with FRAUDULENT signatures. And he says it to Obama’s own strategist, David Axelrod, sitting three feet away. AXELROD: [Mocking] "In Arizona, [Trump] hired the cyber ninjas..." SEAT: “I’ll give you an example of where it [election fraud] has been determinative. And that’s in my home state of Indiana, Saint Joseph County. The gentleman you previously worked for, David Axelrod, Barack Obama got on the ballot because Democrats in that county submitted fraudulent ballot petition signatures. People, including the Democrat county chair, went to jail over that. Barack Obama should not have been on the primary ballot in the state of Indiana.” KINZINGER: “But that’s not a voting issue. Like that’s something—” PETE SEAT: “It is a voting issue because he was on the ballot and people could vote for him, and he shouldn't have been.” AXELROD: “How did how did that get determined?” SEAT: “It was finally exposed two years later. It went through the courts, and several people found themselves in jail. But that’s the problem. It didn’t happen. They didn’t find it before he was on the ballot. It took years after.” Pete Seat is right. In 2013, four Indiana Democrats were convicted for forging signatures on the 2008 presidential primary petitions, and county party chair Butch Morgan went to jail for orchestrating it. They literally copied names off old petitions, including a former governor who confirmed he never signed. Election fraud is not a conspiracy theory. It happens, and a county chairman of a major party sat in a jail cell for it.

Here's my Grok Bot team: - Webby: Web designer - Shotry: Short-form content creator - Writey: Article/Newsletter writer - Claude Code: Grok agent that specializes in CC - Codex: Same as the above but for CODEX - Script: YT Scriptwriter - Idea: Idea generation for videos/content - Master: Orchestrator for the whole team SUPER easy to spin these up and get them working. Let's see how this goes!

With dynamic workflows, Qwen3.8-Max programmatically plans tasks and orchestrates large-scale sub-agent systems, turning a single conversation into a fully automated, long-horizon task. Watch it showcase its full working ability!

如果您在做 Agent Harness 相关的开源项目，希望在 DeepSeek Harness 发布的第一时间进行接入支持，请回复您的 GitHub id 以及 GitHub 项目地址，包括但不限于 plugin, skill, MCP, orchestrator, aggregator, UI 等等。 我们会选择一些开源项目的作者邀请参与DSH内测，并赠送部分API额度，让您可以做到在DSH发布时第一时间接入支持。 请同时私信我您的邮箱，我们会使用 email 联系您。

We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.

grok plugin marketplace add 7etsuo/write-legible-c grok plugin install write-legible-c --trust Grok Build with Grok 4.5 is producing the most beautiful C I have ever seen come out of a model. Every function under 25 lines with one job. Nesting never past depth 2. Zero naked literals. Every failure greps to a single producing line and the happy path runs straight down the left margin. Code you can read at 2am with the pager going off. It took a standard to get there. I shipped it as a Grok Build plugin. write-legible-c gates Grok with strict C11 machine legibility every time it touches a .c or .h file. Every function is an orchestrator, a leaf, or an adapter, never a mix. A TRY macro that makes the forgotten check bug impossible to hide. An 18 item checklist the model runs before it shows you code. Clean code is a performance feature too: rewrites that cut model perceived complexity lift LLM task performance by up to 21 percent. Full 18 section standard inside.

这个技巧很棒啊啊，学到了 herdr 装了这个 skills 以后 harness 之间可以互相召唤 互相指挥 而且全部是真实终端 pane 不是 headless 的 会真实 split 出一个新的 pane 随时能点进去看 打断或者接手 最后主 agent 主动去读其他 pane 的输出 agent wait / pane wait-output 然后自己做综合 继续协调还是怎么做 简单试了一下 GPT5.6 SOL 去 orchestrator 用 herdr 开多个 pane 分别启动不同模型的 agent 分配任务 并行干活 再汇总