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Trade USD1 futures pairs and qualify for boosted APR rewards. For the last 7 days: 🔸 Base APR: 4.85% 🔸 Boosted APR: 5.82% 🔸 No individual reward cap 🔸 170M WLFI token reward pool Know more →
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Introducing GLM-5.3: Built to Code. Ready for Cyber Defense. - Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model - A major leap in cybersecurity, setting a new standard among open models Tech Blog:
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🔥 $34.75M+ in Q2 buyback and burn value highlights TRON Eco projects’ commitment to long-term value alignment. With $JST and $SUN’s latest buyback and burn activities, alongside $BTT and $WIN’s new revenue-based buyback mechanisms, #TRONEco# continues building stronger connections between ecosystem growth and token value. Value created within the ecosystem should continue flowing back into the ecosystem. Growth builds ecosystems. Value alignment makes them stronger. Explore the full TRON Eco Deflation Report ⬇️
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Lindsay Clancy brought all of her children into the basement. She strangled them to death one by one. The children watched in horror as they awaited their execution. She held them down and murdered them slowly and painfully. They must have cried. They must have asked why mommy was doing this to them. They must have called for help. But the person who was supposed to be their help, their protection, was now the agent of their destruction. There was nowhere else for them to turn. The last thing they felt, before their hearts stopped beating, was terror and confusion and sorrow beyond imagining. Lindsay Clancy is a monster. A demon. She committed the greatest evil that it is possible for a person to commit. In a just society she would be convicted quickly and then dragged up the gallows and hanged. She would die for her crimes and be buried in a grave marked only by her inmate number. And all of her defenders and sympathizers would be sent to asylums, where they belong.
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‘Coyote vs. Acme’ debuts at 96% on Rotten Tomatoes based on 46 reviews. In theaters August 28.
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ICE will be spending upwards of $20M for "Shock Gloves" to help de-escalate confrontations with illegal immigrants, according to the AP. The "G.L.O.V.E." is manufactured by Compliant Technologies LLC, based in Kentucky. "70% of officers killed with firearms are shot within 10 feet. The G.L.O.V.E. gives officers a non-lethal option at exactly that distance, bringing resisting subjects into compliance in seconds, without lasting harm to anyone involved," their website says.
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Every Heisman Trophy Winner should have their number retired. But this cease and desist letter is a COLOSSAL MISTAKE by Jayden Daniels’ team for 3 reasons. 1. Jersey retirements are an honor. -Not something to be demanded -Not something to strong arm a school to do 2. It creates a rift between Jayden Daniels and LSU fans, who are one of the most passionate fan bases in all of Sports. Saying you feel profoundly disrespected and are being treated differently than Joe Burrow, forces LSU fans to chose between 10-3 Jayden Daniels and 15-0 National Champion Joe Burrow smoking a cigar. LSU fans will will pick Joe Burreaux EVERY SINGLE TIME. 3. It’s creates a MASSIVE DISTRACTION for Jayden Daniels and the Washington Commanders 3 weeks before the most important season of his career. Timing is everything. And this was the worst move for Jayden Daniels and his image to the masses possible.
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做一个下dsh和pi的对比 Pi 的目标是“最小核心 + 用户自己拼”,DSH 的目标是“几乎所有能力都插件化,官方先给你几套完整组合”。 DSH 的骨架是Cordis。 Cordis 不是普通插件加载器,它强调两件事: 1. 可逆副作用(temporal composability):插件卸载时,注册的服务、事件、工具 schema、prompt section 全部自动撤销。 2. 依赖声明与空间组合(spatial composability):插件通过 `inject` 声明需要什么服务,运行时按依赖挂载。 所以在 DSH 里: - 模型适配器是插件 - 工具注册表是插件 - session log 是插件 - agent loop 本身也是插件 - 甚至 UI 也是插件 没有“神圣不可动的核心”。你想换 loop、换工具策略、换上下文压缩,挂一个新插件 + 改配置就行。 启动时是 Profile + Bundle叠出来的: 空根 → dsh-base(模型、工具、沙箱、凭证…) → dsh-web-app 或 dsh-headless → 用户自己的 cordis.patch.yml → 命令行 --patch `dsh --profile web --dump-config` 能直接把当前实际挂载的树打出来。 Session 设计是硬核部分 Session 是 append-only 的事件流 模型最终看到的上下文,必须能从这条 log 完整重建出来。官方写得很死: > Model-visible means logged. 任何会进模型请求的内容,都要先变成 session event。 所以 fork、resume、回放、UI 渲染、telemetry,全部从同一条流投影。这点比大多数 coding agent 做得更彻底。 Turn / Step 有claudecode的影子,流程如下: turn/start → claim input → agent/pre-step(可拦截、可改写) → step/start → llm/stream → tool/call → tools/pre-execute → execute → post-execute → step/end → 继续 or turn/end `agent/pre-step`、`tools/*` 这些是 waterfall,监听者必须显式 `next()` 才能往下传。扩展点设计得很规整。 Pi 的实际交集 DSH 仓库里有一个包: `@deepseek-ai/dsh-llm-pi-ai` 它就是把 pi-ai当成 LLM 适配器的后端。 多 provider、协议兼容、reasoning effort 映射、catalog 覆盖,都走 pi-ai 的能力,再包一层 Cordis 插件契约。 所以: - LLM 调用层:吃了 Pi 的基础设施 - Agent 编排、工具、session、UI、沙箱:完全自己的 Cordis 体系 “LLM 适配层直接用了 pi-ai,上层重做了一套更重的可组合 Runtime”。 模式上的对应 DSH 的 Minimal 模式才最接近 Pi 的默认体验:只留 shell + 文件编辑器,专门给 benchmark 用。 官方之前在 V4 的 agent 评测里就用过这个模式。 Standard 模式和 Code(PTC)模式则是完整工具集 + 程序化工具编排,已经远超 Pi 默认的 4 工具。 如果你喜欢 Pi 那种“核心极瘦、自己动手加东西”的感觉,DSH 会显得重,配置和概念也更多。 如果你要的是可替换的 agent loop、完整事件回放、多模式预设、以及官方已经搭好的 Web 界面,DSH 的插件树和 seam 设计更系统。 一句话: Pi 是极简可扩展的 coding harness;DSH 是基于 Cordis 的完整 Agent Runtime,LLM 层复用了 pi-ai,但整体不是同一套代码。
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Grok Bot has taken over the entire internet. And for good reason It is an EXCELLENT AI agent But you HAVE to set it up the right way Here are the first 5 steps to make your Grok Bot agent team SUPER powerful: 1. Brain dump everything about yourself, goals, passions, and career into the initial agent. This is going to give it the context it needs to set up your agent team 2. Next, prompt the agent "Based on what you know about me, what do you think would be the best set up of this Grok Bot app? Which bots should I make and what should their responsibilities be? This should enable the best workflow and productivity" This will give you the perfect plan for setting up Grok Bot 3. After reviewing the plan, ask the Bot to set up your workspace for you. It will create the agents, give the right context and descriptions, and make sure your setup is built for productivity 4. Next, ask it for which routines each agent can set up to help you out the most. This should give you a list of cron jobs (routines) that each agent can do on a regular interval 5. Ask the agent to implement these And just like that, you have the most powerful AI agent on the internet all set up. You have an entire fleet of agents ready to go and do work for you. And in fact, because you set up the routines, they're ALREADY doing work for you Enjoy the AGI
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“Lindsay Clancy tried to get help!” Yes and her children needed help, too, when she was methodically strangling them to death in the basement. The sympathy for this woman is just unspeakably depraved. Total callousness towards the children she slaughtered.
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