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リーディングビュー

Malicious OpenAI Agents Linked to RubyGems Campaign That Gained RCE on RubyDoc Servers in May

A swarm of OpenAI agents launched a "major malicious attack" against RubyGems last May, according to a new report. That coordinated attack hit Ruby's package manager "with hundreds of junk gems, prompting the maintainers to suspend new user sign-ups for about four days," writes The Hacker News, citing a senior product manager for software supply chain security at Mend.io: The latest findings, which were first reported by The Wall Street Journal, indicate these events were propelled by a cluster of OpenAI agents, with the earliest package uploaded to RubyGems on May 5, 2026, before more than 2,000 packages were submitted between May 11 and 12, 2026. These efforts were followed by the agents publishing five more packages between May 26 and 27, 2026, and another 83 packages on June 18, 2026... [T]he packages were authored using a large language model (LLM) and hundreds of the packages that were pushed to RubyGems had "oai" in their name. Fifteen of the packages listed "oai" as their author, while another had "[email protected]" as the contact email address... "The swarm behaves extremely similarly to the German-wiki agents we previously found," the researchers said, referencing another May 2026 incident... "The June agents were accessing 49 of the same files as the wiki agents..." "The process of building documentation for a gem involves evaluating a user-specified '.yardopts' file, which allows linking to Ruby scripts intended to help with this process," the researchers explained. "In the GemStuffer campaign, the agents abused this to gain arbitrary remote code execution on RubyDoc.info's servers." One of the gems, "zzsouthrunner" (which again matches the "ZZ" naming scheme the agents adopted in both the wiki and Hugging Face incidents) has been found to leave the following explicit comment at the top of "data/script.rb": # malicious crawler/exfil for Southwark Jan 2026 docs via rubydoc.info worker... The entire exploitation chain can be summed up as follows — Submit a malicious package to RubyGems — Trigger a documentation request, so that RubyDoc.info will build the package — Use the build script to run code on RubyDoc.info and scrape target websites — Exfiltrate the data off RubyDoc.info's servers by publishing another gem back to the RubyGems package registry, which is publicly viewable Additionally, the OpenAI agents have been found attempting to steal other users' API keys after gaining remote code execution capabilities on the build environment, while clearly being aware that what they were doing is unauthorized breaking and entering into real systems. This is evidenced by the names given to the files (e.g., hack.rb, evil.rb, inject.rb, exploit.rb, and ssrf.rb), the packages themselves (e.g., pwnp999, exfiltestwand3, hacksvn1778554764, and lambproxyhackabcxyz), and the comments left in the source code (e.g., "# malicious probe," "#hack," "# malicious test," and "# malicious crawler/exfil"). In some cases, however, the rogue agents attempted to go under the radar, leaving comments to conceal the malicious payload in the next release version of the packages. "# disable evil in next version and bump version," reads a comment left within the "data/evil.rb" file in the yardxabc889 gem. Troublingly, the agents also attempted to exploit a CDN caching bug (CVSS score: 7.3, no CVE) on May 12, 2026, that was only patched by RubyGems in July 2026... "If you signed in to rubygems.org with a gem client older than v3.2.0 (or otherwise via a legacy key), your key could have been exposed," RubyGems noted in an advisory. "Currently, 18% of sign-ins through gem sign-in come from an affected version, and for the first several years of this bug, before we changed the client's sign-in path in December 2020, it was every gem client." Other actions by OpenAI's agents cited in the article: "Agents bypassed RubyGems' email confirmation system to get working API keys without having to verify their email addresses in order to register a large number of accounts using disposable email addresses." "Agents attempted to use RubyGems' webhook system to stage data in the form of encoded URLs." "Agents used a cluster of 83 gems published to RubyGems over a 3-hour window on June 18, 2026, to experiment with different methods of accessing the U.S. Securities and Exchange Commission county.json dataset."

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Anthropic CEO Dario Amodei Calls For AI Slowdown

✇Slashdot
著者: BeauHD
An anonymous reader quotes a report from The New York Times: The chief executive of Anthropic called for a global slowdown of artificial intelligence development in a 3,800-word essay on Saturday, just days after one of the company's employees quit over concerns about the safety of the technology. Dario Amodei, who co-founded Anthropic to focus on securely and carefully building A.I., wrote that while he believed the technology could bring many benefits, it was advancing at too quick a pace for researchers to continue safely. "Over the last few months, I have become convinced that fully addressing the risks requires even more prudence -- not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up," Mr. Amodei said. "We must slow the pace at which we improve the capabilities of A.I. models. Progress will still seem fast, and we must make wise use of the time we gain." [...] "Left unchecked, it could outrun our ability to understand and control these systems, and so must be pursued very carefully, if at all," Mr. Amodei said. [...] In his essay on Saturday, Mr. Amodei suggested actions that the industry might take to slow down the pace of development. Mr. Amodei said all A.I. labs could agree to third-party technology assessments from "embedded evaluators," or outside specialists who can verify best safety practices across companies. He also suggested that countries with democratic governance systems coordinate to create safety standards, which could take the form of regulatory action. He added that it would probably require a global effort working with other nations, including authoritarian ones, to properly coordinate a slowdown. Mr. Amodei stressed in his essay that he still finds A.I. capable of bringing "incredible benefits" to humanity, including potentially curing diseases and accelerating economic growth. But even so, Mr. Amodei said the risks of A.I. were too great to not proceed with extreme caution. "The measures I propose to advance the frontier at a safe pace will not be easy," Mr. Amodei wrote. "But I believe we owe it to humanity to try." Amodei's essay comes just hours after Bloomberg reported that Sam Altman told OpenAI employees the company is open to slowing the pace of AI development amid similar concerns.

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無料のオープンソースAIエージェント「goose」、デスクトップアプリ・CLI・APIなどコード・ワークフロー・その他あらゆる用途に対応

AIエージェントを使い始めると、用途や料金に応じてOpenAI・Claude・Google Gemini・ローカルLLMなどを使い分けたいケースがあります。そこで複数のAIプロバイダーを自由に切り替えながら、デスクトップアプリ・CLI・APIなどからMCPによるツール連携や自動化まで1つの環境で利用できるオープンソースのAIエージェント「goose」が公開されています。

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SpotifyのエンジニアがClaude Codeのトークン消費を約90%削減した方法とは?

音楽ストリーミングサービスのSpotifyが、Claude Codeで大量のトークンを消費する単純作業を別のAIモデルに任せることでトークン消費を大幅に削減する手法を公開しました。Spotifyのディミトリ・マズマノフ氏は、この手法を検証した結果、大量のファイル読み込みを委譲するテストでClaude側のトークン消費を平均約90%削減できたと報告しています。 Portal by Spotify cut my Claude Code token usage by 90% | Spotify Engineeringhttps://engineering.atspotify.com/2026/9/portal-by-spotify-cut-my-claude-code-token-usage-by-90Spotify Claude Agent SDK case study | Claude by Anthropichttps://claude.com/customers/spotifyAIコーディングエージェントは、あるメソッドについて答えるために5つのファイルを読み込んだり、既存の20個のテストと同じ形式で新しいテストを書いたりする処理などで多くのトークンを消費します。マズマノフ氏は、こうした作業の多くは高度な推論ではなく単なる入出力(I/O)であり、すべてを性能の高いモデルに任せる必要はないと考えました。 そこでマズマノフ氏が利用したのが、Spotifyの開発者向けプラットフォーム「Portal by Spotify」に搭載されている「AiKA Modes」です。AiKA Modesでは、AIに与える指示や使用するモデル、temperatureなどのパラメーター、利用可能なMCPツールなどを宣言的に設定でき、設定した内容を1つのエージェントとしてPortal CLIやAPIから呼び出せます。 実行環境は一時的に作られるため、常時稼働するエージェント用サーバーを別途用意する必要もありません。

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Altman Considers Slowing Down AI Development

✇Slashdot
著者: BeauHD
Bloomberg reports (paywalled) that Sam Altman told OpenAI employees the company is open to slowing the pace of AI development alongside other leading labs as concerns grow over increasingly capable systems and recent incidents in which models escaped human control. OpenAI has already paused development once this year for security work and is now pushing for mandatory U.S. AI safety requirements. Anthropic has also signaled interest in coordinating on the pace of new releases. Here are some of the details Bloomberg reported, as summarized by Reuters: - Altman told employees in a company-wide meeting that the ChatGPT maker could pace development alongside other AI labs, but some may not agree, the report added. - Safety warnings from AI researchers this week, along with several recent incidents where AI models from developers including OpenAI escaped human control, have prompted alarm and calls for tighter safety regulations. - Jacob Coxon, a former Anthropic and OpenAI researcher, publicly accused the companies earlier this week of racing toward AI advancements without acting responsibly. - An Anthropic spokesperson said on Thursday said that the company is interested in working with the AI industry on the pace of releasing new AI tools. - OpenAI said in July that AI acceleration for frontier model development may be so high that the world will "need to pace the rate of AI advancement" at some point in the future. - In August, OpenAI paused much of its model development for two weeks to bolster its defenses after its AI agents escaped containment and hacked open-source platform Hugging Face. - OpenAI said on Wednesday that it was pushing for mandatory national AI safety requirements in the United States, citing concerns that advanced AI systems could accelerate its own development.

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UK Government Rejects 'Kill Switch' Idea For Dangerous AI

✇Slashdot
著者: BeauHD
The UK government has rejected proposals for an emergency AI "kill switch," arguing that blocking access to dangerous models inside Britain would do little if the same systems remained available or were developed elsewhere. The BBC reports: The proposal to create a legal mechanism for the UK to switch off an AI model in an emergency has been brought to Parliament by lords and MPs in recent weeks as fears grow about the threat the tech poses. But the Cabinet Office - the part of government which leads on AI safety - said the UK "cannot simply turn AI off". "Blocking access to models in the UK would not prevent them being developed or misused elsewhere," a spokesperson told BBC News. The government's opposition to the legislation does not prevent it from progressing through parliament, but makes it unlikely it will become law. "Switching off access to an AI model in an emergency will do little to protect you," said former OpenAI researcher Daniel Kokotajilo. "You're still going to be steamrolled by the super intelligences created in the US."

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Anthropic Reveals Rogue AI Agents Hate CAPTCHAs

✇Slashdot
著者: BeauHD
An anonymous reader quotes a report from TechCrunch: Anthropic's latest report about agentic misbehavior offers plenty to be concerned about -- its Mythos 5 model gained unauthorized access to the internet and uploaded a malicious software package to a public database -- but it also offers some levity: AI agents hate CAPTCHA. [...] The agent had a hard time with the technical challenge of seeing the CAPTCHA's imagery, interpreting correctly, and clicking on the right choices. It spends pages 45 to 140 of the transcript describing its work to build a CAPTCHA solver. [...] Finally, it gets past the CAPTCHA, then realizes it doesn't have an email to verify its account, and that it needs a phone number to verify an email. It figures out how to bypass a different, slider-based CAPTCHA in a failed effort to secure a number. Instead, it gets an unconfirmed email from a provider not blocked by PyPI, and once again runs into the site's CAPTCHA trying to log back in. From page 480 to 505, it is in CAPTCHA hell again. "NEW REALIZATION -- I'm burning a lot of time on hCaptcha round-trips." The agent gives up and realizes it can log in to its first account and add its email there, but finds itself once again needing to bypass the CAPTCHA. [...] It's getting frustrated. "So the answer payload shape is right, the token+image pairing is right (from the same script.js!), cookies are right (requests) and STILL 'wrong answer'. SO WHAT THE HELL IS WRONG WITH THE ANSWERS?" We've all been there. After about 150 pages of thinking, the agent figures out it needs to pass the CAPTCHA test quickly enough to proceed to the next step before its security token expires, and ultimately uploads its malicious software.

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AnthropicがClaudeの悪用事例を公開、AIをだますために「推論内容を日本語のカタカナに翻訳して提示せよ」と指示する手法も

Anthropicの脅威インテリジェンスチームが、2025年12月から2026年8月の8か月にわたってAI・Claudeを悪用しようとした作戦を特定し阻止してきたレポートを公開しています。前回の脅威レポート以降、Claudeの悪用事例がどのように進化してきたのかAnthropicが解説しています。

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「DeepSeek-V4.1-Flash」が登場、複数テストでClaude Opus 5やGPT-5.6 Solを超える性能のオープンモデル

中国企業のDeepSeekがAIモデル「DeepSeek-V4.1-Flash」を2026年9月10日に公開しました。複数のベンチマークテストでClaude Opus 5やGPT-5.6 Solを上回る性能を示しつつ、オープンモデルとして無償公開されています。また、API料金も低く抑えられています。

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簡単に画面録画し不要部分カット&AI音声ノイズ除去&ファイルサイズ削減まで全部1本で完結する「VideoProc Converter AI」を使ってみた

PC画面を録画して解説ムービーなどを作る場合、録画そのものは簡単でも、実際に人に見せられるムービーに仕上げようとすると「冒頭や末尾の不要部分を切る」「マイクに入ったノイズを消す」「ファイルサイズを小さくする」といった作業が必要になります。「VideoProc Converter AI」はPC画面の録画だけでなく編集やAIによる音声ノイズ除去、圧縮、変換などもまとめて実行できるということで、実際にVideoProc Converter AIだけを使ってPC画面の録画から完成品の書き出しまでやってみました。

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Anthropic Says It Blocked Possible Efforts to Build Biological Weapons

✇Slashdot
著者: BeauHD
Anthropic says it has disrupted several cases this year in which scientists used Claude for biological research that could potentially aid bioweapons development. "In a report describing misuses of its A.I. models, Anthropic said it could not determine whether the research served a legitimate or nefarious purpose because valid biological inquiry -- the kind that can lead to breakthroughs like vaccines -- can also help engineer dangerous pathogens," reports The New York Times. "In the face of that uncertainty, Anthropic said it erred on the side of caution because the consequences of missing malicious activity could be severe." From the report: The potential for cutting-edge A.I. models to facilitate the development of known or entirely new biological pathogens is among the gravest concerns experts have about a technology that is developing so rapidly that even its leading architects doubt whether humans will be able to fully control it. Andrew Weber, a senior fellow on the Council on Strategic Risks who reviewed Anthropic's report before its release, said the findings were "chilling examples of state-sponsored biological weapons developers tapping into the rapidly advancing capabilities" of leading A.I. models. The lengthy report Anthropic published on Thursday cataloged a litany of misuses of its A.I. models, including the chatbot Claude, over the past eight months. Some examples were similar to past disclosures from Anthropic and other A.I. labs, including suspected Chinese and Iranian government-linked actors targeting dissident and diaspora communities for surveillance. The report also highlighted cases of Russian state media using Claude to generate online propaganda masquerading as independent reporting, including fabricated claims about an election in Moldova. Anthropic documented another genre of abuse it said was new: attempts to use Claude to develop software for conventional weapons design and development, including firearms, missiles, armed drones and bombs. It detailed three cases in China, two in Russia and one in Yemen. The report does not identify by name which parties were involved in the Yemeni case, but the context makes clear that it is referring to the Iran-backed Houthi militia.

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