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ting them? HackerRank , a platform used by companies to assess and hire developers, is offering a glimpse at what that future of job interviews could look like with Chakra , an AI agent that conducts interviews, observes candidates as they work, and evaluates not just their answers but also how they got there. After around six months in beta, HackerRank is making Chakra generally available to its customers on Monday. The startup says the AI interviewer has already conducted more than 500,000 int

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在DeepSeek Harness中无缝运行；如果认为这是一个值得投入的目标，从技术上看，未来有可能做到。 DeepSeek Harness的核心理念是“一切皆插件”：崔添翼表示，这个理念是从立项之初、写第一行代码之前就确立下来的，正如“开源”的理念是从DeepSeek成立之初、发布第一个模型之前就确立下来的一样，“开源是我们的初心，不是被迫开源的。让我们的Agent Harness产品以开放、开源的方式具备尽量极致的可扩展性，也是我们的初心，并不是被迫或模仿别人才做开放可扩展的。” 崔添翼提到，自己每天工作的相当一部分时间都用于为DeepSeek招人和面试，DeepSeek的目标是实现AGI，DeepSeek Harness组的目标就是从Harness的角度推进AGI。 在他看来，只有做创新的事情才是真正“推进AGI”的事情，“如果我们抄一个Claude Code，或者抄一个Codex，做一个和其它某些Agent Harness从技术理念到用户体验上都没啥区别、完全差不多的产品，那一定不是推进AGI的事情。” “推进AGI的事情一定是创新的事情。这次Claude Code Mods的

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在DeepSeek Harness中无缝运行；如果认为这是一个值得投入的目标，从技术上看，未来有可能做到。 DeepSeek Harness的核心理念是“一切皆插件”：崔添翼表示，这个理念是从立项之初、写第一行代码之前就确立下来的，正如“开源”的理念是从DeepSeek成立之初、发布第一个模型之前就确立下来的一样，“开源是我们的初心，不是被迫开源的。让我们的Agent Harness产品以开放、开源的方式具备尽量极致的可扩展性，也是我们的初心，并不是被迫或模仿别人才做开放可扩展的。” 崔添翼提到，自己每天工作的相当一部分时间都用于为DeepSeek招人和面试，DeepSeek的目标是实现AGI，DeepSeek Harness组的目标就是从Harness的角度推进AGI。 在他看来，只有做创新的事情才是真正“推进AGI”的事情，“如果我们抄一个Claude Code，或者抄一个Codex，做一个和其它某些Agent Harness从技术理念到用户体验上都没啥区别、完全差不多的产品，那一定不是推进AGI的事情。” “推进AGI的事情一定是创新的事情。这次Claude Code Mods的

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You can now steer Cursor SDK agents while they run. run.steer() adds your message to the next turn. If a subagent is mid-task, it moves to the background and keeps working. https://t.co/1GHeV6kfKC

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ンでコンテナ型仮想マシンを実行可能にする「Cloudflare Containers」をAIエージェント向けに刷新したことを発表しました。 これまでよりも起動速度が6倍となり、環境構築が容易になるようにファイルのスナップショット機能などが追加されました。 Cloudflare Containers now start 6x faster, let your agent choose each sandbox's image and instance type at runtime, and support filesystem snapshots in public beta, all controlled from a Durable Object. https://t.co/mdKedS60sU BirthdayWeek— Cloudflare (@Cloudflare) September 30, 2026 Cloudflareは以前からCloudflare Containersを提供していますが、これまでのCloudflare Containersは人間のソフトウェア開発者によ

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Summary Together Link connects the harness your team already uses to the best open models on Together AI and cuts your spend by over 50%. Same agent, same workflow, a fraction of the bill. Coding agents are now commonplace for engineering teams, and every task you give them, from a one-line fix to a full rewrite, often runs on the same premium model. At scale that gets expensive quickly: engineering orgs are spending anywhere from tens of thousands to millions of dollars a month on closed models

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test group of advertisers. The ads will also be clearly labeled and won’t influence the answers ChatGPT provides, the company notes. The move follows the launch of Meta’s Muse, an agentic AI app which is free to everyone and a growing competitor for leading AI chatbots, like ChatGPT. OpenAI introduced ads earlier this year to support its free and low-cost subscription tiers, and expanded them to India in August. Now, the plan is to woo online advertisers who want to appeal to their potential cus

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use Gadgets, an open-source project that lets hobbyists build their own AI hardware. It includes firmware for ESP32 boards and a Linux SDK to connect homemade devices to Meta's AI agent Muse . The code is Apache 2.0 licensed, with a Discord community discussing the project. The open-source approach likely serves a second purpose, too. By watching what the community builds, Meta can learn which form factors people actually want, since nobody has settled on what AI hardware should look like. Apple

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n't sandboxed, so Anthropic warns users to only install them from trusted sources. They work in the CLI, the desktop app, and partly in the VS Code extension. Organizations can control which Mods are allowed to load. The first official Mod plugin is called "You Should Know." It spins up a separate agent that watches Claude's output and sends a "Heads up" message when it spots important information users might have missed. You can turn it on with /plugin enable cc-plugin-you-should-know@builtin .

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figuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The timing is not accidental. Agents burn tokens c

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Before public release, it processed nearly a trillion tokens per day internally. That traffic came from RL rollouts, synthetic data generation, evaluations and long-running coding agents. What is Prime Inference? Prime Inference is the serving layer of Prime Intellect’s open training stack. The company already ships post-training tools such as prime-rl, verifiers and sandboxes. Serving closes that loop: deployed models generate production traces that can feed back into training. Prime reports it

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IBM has made a self-hosted deployment option for IBM Bob generally available. Bob is IBM’s agentic software development platform. It covers the full lifecycle: understanding code, planning work, executing changes and validating results. The new option lets enterprises run Bob on premises, in private or sovereign clouds, and in air-gapped networks. Is it deployable today? Yes. The self-hosted option is generally available to enterprise customers. You must source, license and host a supported mode

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Meta now lets you make your own Muse gadgets that feature the company’s new AI agent with code that the company open sourced . The company suggests projects like loading Muse on a color E Ink display to show reminders, adding it to an HDMI stick so you can display Muse on a big screen, or putting Muse on a small touchscreen device to make what looks kind of like a DIY Muse Charm . “Muse gadgets are open source devices you build yourself,” Meta says. “Program an off-the-shelf ESP32 board or set u

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eats OpenAI’s Privacy Filter on all 5 public benchmarks. also released with the PII-TRACE benchmark: 13k conversations in 13 languages •WANDR: benchmark for wide and deep research agents. 500 tasks needing 170k source-backed records •Numbat: agent detection and response for laptops and workstations. 52 rules, single go binary for macOS, linux and windows •Bumblebee: read-only supply chain scanner for dev machines. covers packages, MCP configs, and editor and browser extensions. a lot more open s

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WITH ALGOLIA 🔍 From search box to workflow copilot The Rundown: Search used to be a list of links. Now it’s a list of actions aligned with remote MCP servers built for tool-using agents. These agents require fast, intelligent retrieval and ranking to understand user intent, find relevant data, and execute. Failing to build systems that help agents move faster slows down your entire organization. In this white paper, you’ll learn: How Algolia’s retrieval and ranking layer powers enterprise inten

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Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, ASUS, Dell, Gigabyte, HP and MSI — giving developers, researchers and AI enthusiasts a new configuration with DGX OS and the NVIDIA AI software stack ready to use

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のHooksにClaude Code内で動作するTypeScript関数を登録することで、セッション内で状態を保持できる。このため、イベントの前後、あるいはイベントを置き換えて処理を実行でき、ボタンや入力フォーム、ペインなどのUIの追加/変更やプロンプトの書き換え、ツールのブロックや再試行、権限要求の自動承認/拒否が可能。 またClaude Code自体にもAGENTS.mdのサポートやサイドバーに表示される/diffペインなど、modとして構築されている機能がある。これらのソースコードはGitHubで公開されているので、mod作成のサンプルとして確認できる。 modはユーザー自身で作成できるほか、Claude Codeに作成を依頼することも可能。プロンプトから作成したmodは、動作を見ながら調整することもできる。なお、この方法で作成したmodはそのセッション限りの一時的なもので、継続して使うには、フォルダーを別の場所へコピーし、通常のプラグインとしてインストールする必要がある。modの詳しい作り方はチュートリアルを参照。 公開されているmodのプラグインはClaudeディレクトリから

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mall group of teams to get the model into production. That work shaped how GPT-Live runs on the platform. Now we're opening it up to learn from more of you. What GPT-Live is Voice agents have historically run on a modular pipeline: a speech-to-text model transcribes the call, an LLM reasons over the text, and a voice model speaks the response. GPT-Live is a speech-to-speech model. It listens to the caller's audio and generates its own speech, all in one model. On Vapi, GPT-Live runs as two roles

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bilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, faster generation can shorten coding agents’ edit-test-debug cycles, reduce the time spent generating responses between tool calls and make interactive applications feel more responsive. A faster response matters most when it’s repeated across a workflow: an agent writes code, uses a tool, checks the result and decides what to do next. Ultrafast brings As

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r use cases around shopping. OpenAI already had to pivot from one of its earlier ideas in this space, an instant checkout feature that ended up not performing well. More recently, agentic AI startup Instinct began pushing product recommendations to users, but some felt that the proactive recommendations were an overreach, more akin to ads than helpful suggestions. OpenAI said its new shopping features leverage the newly launched ChatGPT Images 2.5 model , which the company claims produces more n

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