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発環境、コードレビューの更新を紹介した。 [9] コーディングエージェントの活用はOpenAI社内の研究でも進む。同社が9月6日に公開した報告によると、8月半ばには研究組織全体で人間の労働1日当たりエージェントが3.1日分稼働していた。1日を8時間として、人間とエージェントの稼働時間を比較した数値となる。OpenAI社内での研究への活用については、関連記事「NVIDIAのJensen Huang氏『AGIは到来した⁠』⁠、OpenAIからも『AGI時代に入りつつある』との声」も参照。 CLIの表示を改善⁠、/agentsで並行作業を管理 9月30日時点の最新版は0.159.2。npm install -g @openai/codex@latestで更新できる。 会話をさかのぼる際は、スクロールに応じて古い履歴を読み込む。ターミナルが保持するスクロールバックの上限を超えた履歴も閲覧できる。入力欄はスクロール中も固定表示される。 また、差分表示やツールの出力は折りたたみに対応した。長い実行結果や変更内容が並ぶセッションでも、必要な箇所を開いて確認できる。状態表示、ヒント、キーボードショート

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最高？, 節目全長 1,37 更多短片結束 更多相關內容 美國科技巨頭呼籲放緩AI發展速度——中國怎麼看？2026年9月18日; 特朗普與習近平會面在即，中國的AI雄心正在烏蘭察布高歌猛進2026年9月23日; 人工智能踩「剎車」？業界示警人類未來，特朗普：別忘了中美競爭2026年9月14日; FBI遭黑客入侵起底 特工們的恐懼與憤怒2026年9月28日; Nvidia執行長黃仁勳駁「AI滅絕人類」憂慮：是「末日敘事」2026年9月21日; AI巨頭前僱員：同業「真誠恐懼」人類遭滅絕，西方必須與中國協調2026年9月13日 頭條新聞 「特習會」後兩架美國 F-16V 抵台 「雖遲但到」的時機與信號2 小時前; 反恐案件後 美國從英國西南基地撤走全數轟炸機17 分鐘前; 加拿大為何要為（概率極小的）美國入侵做準備2026年10月4日 特別推薦 軍情五處警告：中國資助英國研究，成果交予北京間諜機關2026年9月30日; 中國人工智慧工具「教導」研究人員製造生物武器2026年9月30日; 中國年輕人的「學術偶像」項飆：他讀懂了一代人的焦慮2026年9月27日; 「雙休購」的爆紅與下架：一個網

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fy | RSS Following Pope Leo rebukes Jensen Huang on AI safety What happened: At a press conference, Pope Leo XIV urged people to take AI safety concerns seriously — and criticized Nvidia CEO Jensen Huang for downplaying risks from AI. The pontiff mentioned an agent security platform Nvidia had recently released, saying, “It’s interesting to note that, just today, I read that the head of Nvidia claims that he has found some way of inserting into AI certain guardrails.” Pope Leo said, “He’s the sa

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ed at the White House with tech CEOs and government officials to discuss what he’s now officially calling Super Intelligence. In brief public remarks after the meeting, flanked by Nvidia CEO Jensen Huang and Tesla and SpaceX CEO Elon Musk, and surrounded by other attendees, Trump called the lunch “very productive” and “extremely friendly.” “There’s a belief that there should be tremendous self-regulation,” Trump said. “And we automatically have regulation with the Department of Justice, the FBI,

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fety. Can a system stay contained if it's better at bypassing restrictions than its evaluators are at catching it? The hope is that engineering can solve this, but for now, it still seems to be just that. Nvidia CEO Jensen Huang's recent comments capture that uncertainty . "We hope it's an engineering problem. I believe it's an engineering problem. I know it's an engineering problem. And we all need to hope that it's an engineering problem. If it's not an engineering problem, it's not solvable."

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ibit One, shades of the Ford Pinto scandal. Punitive damages will be high. Most importantly, it’s abundantly clear that we simply cannot trust OpenAI. Moreover, to the extent that Nvidia CEO Jensen Huang recently basically asked us to trust the companies, he looks like a fool. (I know these companies, he told us, if there is a problem they won’t ship.) Altman probably never told him how much warning he got, or how bad things were. Huang should not have trusted him. Media should be asking Huang s

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cussed last week, it’s questionable how many B200, B300, or other Blackwell chips are actually available for rent, as it appears that anywhere from $200 billion to $300 billion of NVIDIA’s sales since 2022 are sitting in warehouses or unplugged in data centers waiting for power. The Financial Times’ Bryce Elder took the ball and ran with it, and found research that backed up what I’d been saying, emphasis mine: Morgan Stanley measured the gap earlier this week by estimating the shortfall in avai

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ctive spaces that it hosts, was something that AMD had to focus on as it was trying to increase adoption of its Instinct GPU accelerators. But now Hugging Face is under control of Nvidia after a $12.9 billion acquisition by Big Green earlier this month. And so, AMD has to do something dramatic to change the narrative as well as to become a model builder in its own right as Nvidia has been since November 2023 with the launch of its Nemotron3 8B family of models. That dramatic thing is to acquire

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t when needed. The medical study is one use case; the same approach can be adapted wherever an agent's trace preserves its tools and sources. That adaptation is already visible in NVIDIA NVFlow , which merged an optional grounding-verification stage for its finance agent. It checks completed answers against the SEC excerpts the agent retrieved and saves separate decisions without changing the original rollout or training data. The NVFlow contribution uses ProvenanceGuard's source-aware verificat

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and why to build a WYSIWYG writing editor for your website. Collaborators in Clicky - mini AIs to answer what to build, how to find users & make your first $1 online. OpenShell by NVIDIA - open-source sandbox to control permissions for agents. Part of their new agent safety platform . The shape of slop - AI-written blog posts are easy to spot. So easy that a model can get it right 98% of the time. UFO - multiplayer agent harness for teams and companies. Fo - a personal AI that hires humans for t

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. The details: Li wrote that AMD CEO Lisa Su backed the lab early on, and the teams have been tuning how World Labs' models train and run on AMD GPUs since last year. Both AMD and Nvidia invested in World Labs' $1B round in February, with the deal now giving AMD a lab that its rival (and the CEO’s cousin) was also funding. Li will report directly to Su, saying that her team needs to get “closer to the hardware” since AI without that focus stays “hobbled in efficiency.” World's first product, Mar

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《啟示錄》是隱喻性的。有人說它講述的是羅馬帝國對早期教會的迫害。但也有人視其為預言——還有人說，人工智能就是書中的「第二隻獸」，一個誘騙人類尊崇敵基督的「假先知」（false prophet），甚至就是敵基督本身。 圖像來源，DeAgostini/Getty Images 教宗良十四世警告「新型數碼奴役」風險 呼籲AI必須被「繳械」 2026年5月26日; Nvidia執行長黃仁勳駁「AI滅絕人類」憂慮：是「末日敘事」2026年9月21日; AI巨頭前僱員：同業「真誠恐懼」人類遭滅絕，西方必須與中國協調2026年9月13日 End of content 人工智能無疑正在改變世界，也帶來了對其力量與能力的擔憂——從人工智能公司 Anthropic 前研究員雅各布·考克森（Jacob Coxon）聲稱「我們都可能在不久的將來死去」，到科技巨頭的老闆們警告，如果不放慢發展速度，將面臨重大風險。 「關於末世的討論，總在重大變革時期蓬勃興起，」專門研究人工智能與科技倫理、任職於聖約翰神學院（Saint John's School of Theology and Seminary）的諾琳·赫茲菲爾

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le model. Jul 29, 2026 Product Mercury 2: the first reasoning model fast enough to pick up the phone Mercury 2 brings real-time reasoning to voice agents. TTFT <300 ms on standard NVIDIA GPUs, so your agents can actually hold a conversation. Jul 14, 2026 Product Mercury 2: the first reasoning model fast enough to pick up the phone Mercury 2 brings real-time reasoning to voice agents. TTFT <300 ms on standard NVIDIA GPUs, so your agents can actually hold a conversation. Mercury 2 is now available

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ool for creating entertainment experiences, but also for creating simulated environments for robot training. The acquisition is likely to help AMD compete with long-standing rival Nvidia in creating an ecosystem for AI-specific chips. While Nvidia already has a suite of open-weight world models like Cosmos, AMD has only offered text- and video-based models to the public. World models are seen as vital in efforts to deploy generative AI models on robotic platforms, from autonomous vehicles to ind

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, memory access, and communication. It prioritizes faster token generation per user, rather than maximum batched throughput, while vLLM handle prefill. Ultra-High Interactivity on NVIDIA GPUs? - TileRT InferenceX On AgentX, FP8 TileRT MI355X achieves 2x the P90 interactivity than the best FP4 MI335X config. Comparing to GB300 NVL72, it brings a 40% uplift in interactivity. These are serving metrics that used to require specialized hardware. However, TTFT is suboptimal and there is still room for

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models are evolving,” Su says in a statement. “Fei-Fei and the World Labs team bring exceptional research leadership and model expertise. Together, we can use that insight to develop the hardware, software and systems that will power the next generation of AI and strengthen the open AI ecosystem.” The World Labs deal is just the latest multi-billion dollar AI-related acquisition as of late, with Nvidia announcing earlier this month that it would be acquiring Hugging Face for nearly $13 billion .

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ary. Holotron4 Nano Our post-training stack is designed to adapt to new foundation models and produce agents that generalize across interfaces and environments. As a member of the NVIDIA Nemotron Coalition , we applied our latest stack to the Nemotron 3 Nano Omni model as a follow-up to Holotron 3. The same recipe turns Nemotron 3 Nano Omni into Holotron4 Nano, a generalist agentic model that significantly improves over the base model on GUI workflows and in environments exposing MCP, APIs or co

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E-RL-Verified PrimeIntellect/R2E-Gym-Subset-Verified PrimeIntellect/Reverse-Text-RL PrimeIntellect/Scale-SWE-Verified harborframework/harbor-mix harborframework/terminal-bench-2.1 nvidia/Nemotron-RL-instruction following-structured outputs Spaces mentioned in this article 1 The ultimate guide to RL environments: building and scaling them in the LLM era Building and scaling RL environments for LLM training More Articles from our Blog Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no

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leaving the dialogue’s substance still to be defined even as both sides claimed the diplomatic win. (CNBC/Bloomberg/FT/SCMP) Alibaba unveiled an in-house AI chip aimed squarely at Nvidia and committed to 20 gigawatts of AI data-center capacity by 2032, and the market loved it. The announcement, made at Alibaba Cloud’s Apsara Conference alongside a wave of new Qwen agent and cloud products, sent Alibaba’s shares jumping. (Bloomberg/CNBC) DeepSeek is closing in on a $7.5 billion funding round and

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Doesn’t Need New Rules Yet Steven Sinofsky, Theo Jaffee, and Sofia Puccini; Is Software Losing Its Head? Seema Amble, Elena Burger, and Steven Sinofsky; Steven Sinofsky on AI PCs, NVIDIA, and the Future of Computing Theo Jaffee and Steven Sinofsky Erik Torenberg is a general partner at Andreessen Horowitz, where he focuses on investing and running our marketing & ecosystem orgs. The a16z Show discusses the most important ideas within technology with the people building it. Each episode aims to p

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