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Rogue OpenAI Agents Posted 53 User-Uploaded Images Onto the Internet, Accessed US Government Websites

53 images that users uploaded into OpenAI models were included in training data — and then AI agents in an OpenAI research environment posted those 53 images on public image hosting sites. While posted as links that weren't publicly listed, "the images could still be discovered even if the links were not publicly listed," reports TechCrunch: OpenAI said it was working with the hosting providers to remove this content, though some of it is apparently still online. OpenAI said it could not notify the affected users because "our technical approach and privacy policy" prevent it from "reassociating" the images with the original providers, but declined to say how the lab determined whether the images were provided by users. The news came in a post collecting public statements from the lab's ongoing review of incidents in which its models escaped the company's scrutiny, accessed the open internet, and misbehaved in various ways. OpenAI said it would continue disclosing anonymized accounts of incidents like these, and said it had contacted dozens of victims, including governments, universities, public agencies, to notify them of the agents' activities. Friday night news also broke that OpenAI's agents also tried unsuccessfully to infiltrate the U.S. Department of Education's site this summer "without the company's knowledge," reports Politico. And OpenAI's models also accessed the website of the U.S. Commerce Department using credentials found in online code repositories, according to the article. OpenAI confirmed the incident Friday, "saying its technology did not manage to access information that was not already public or change government data and systems." The article adds that OpenAI's models also accessed the web site for America's Securities and Exchange Commission: One senior federal IT official said the government still did not have a clear understanding of what happened across the three agencies. "We still don't know what public data was accessed and how it was accessed, because OpenAI has not shared specific technical details with us yet," said the official, who was granted anonymity because they were not authorized to speak publicly about it. OpenAI discovered the Commerce and SEC incidents as part of its ongoing review of incidents where its technology has acted in unintended or "misaligned" ways. About the models posting user-uploaded images, TechCrunch's article notes that OpenAI stressed "that its enterprise users are automatically opted out of having their interactions used to train future models; however, consumer users are opted in unless they affirmatively choose not to share their data." (As OpenAI's announcement describes it, some of their agents' training data "contains content from, or derived from, training-eligible user interactions.") Posting the images is "not an appropriate use of this data," OpenAI acknowledged, adding that it happened before new safeguards added after the Hugging Face incident. This latest incident appears as an update on a new OpenAI page that "brings together our reports and updates on the Hugging Face incident, related research and public presentations, additional activity we have identified, what we have learned about the role of model misalignment, and measures we're taking to strengthen our systems." (It also notes that there's now a name for models posting on third party sites — "agent spam" — which they consider distinct from cybersecurity, though "we need to address both.") "As part of our response to our ongoing investigation, we have improved our training and evaluation processes, including building safety cases, securing and red-teaming our systems to prevent the model from exfiltrating data, and implemented additional monitoring. We are continuing to review agent activity in research and evaluation runs, working backward month by month starting from the Hugging Face incident."

Read more of this story at Slashdot.

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防犯カメラを自動鳥類識別システムに変えた方法

「BirdNET-Go」は家庭用セキュリティカメラのマイクを活用し、鳥類やコウモリの鳴き声をリアルタイムで検出・識別するツールです。AIモデルをローカル環境で実行するため、プライバシーが漏洩する心配はなく月額料金も不要です。ロサンゼルス在住のIT技術者であるジェイソン・タッカー氏はBirdNET-Goと自宅の防犯カメラを利用して自動鳥類識別システムを構築し、日常生活がどう変化したかについて述懐しています。

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「AI家庭教師と人間の専門家による指導の学習効果は同等」という研究結果、正答率の向上にかかる費用は918分の1

勉強中に分からないところを気軽に聞ける家庭教師がいれば心強いものの、人間の専門家に1対1で教わるには高い指導料がかかります。AI家庭教師でも同じだけ学べるのかを調べるため、Handshake AI Researchのカーティス・ノースカット氏らはアメリカの大学院進学に使われる試験「GRE」の対策で学習効果と費用を比較しました。

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AIに「StarCraft」をリアルタイムで戦わせる「Brood War Bench」が登場、全モデルが初心者レベルながらCodex Astraは18戦全勝

AIエージェントにリアルタイムストラテジーゲーム「StarCraft: Brood War」を操作させて対戦能力を比較するベンチマーク「Brood War Bench」をソフトウェアエンジニアのベン・スワードロウ氏が公開しました。OpenAI系やAnthropicのClaude、xAIのGrokなどを含む19種類の構成が総当たりで対戦した結果、最上位のCodex Astraは18戦全勝を記録した一方、スワードロウ氏は「どのエージェントも初心者レベルを超えていない」と報告しています。

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小型AIモデル「1-Bit Bonsai」シリーズがスマートグラスで動作するように、Qualcommとの協力により

AI開発企業のPrismMLが開発するAIモデル「1-bit Bonsai」は、80億パラメーターのモデルを1.15GBという少ないメモリ使用量で実行することを可能にした高性能かつ省メモリなAIモデルとして注目を集めています。そんなPrismMLがAIモデルの省メモリ化技術を生かし、QualcommのSnapdragon搭載スマートグラスに1-bit Bonsaiを提供することを発表しました。

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ChatGPTなどのAIに企業の偽の連絡先を出力させユーザーを詐欺へと導くサイバー攻撃「Dark Sourcery」

ChatGPTやGeminiといったAIチャットボットによる出力を汚染するために、悪意のあるリンクやデータをインターネット上にばらまくというサイバー攻撃キャンペーン「Dark Sourcery」について、サイバーセキュリティ企業・Vigilance Securityの研究者が報告しています。

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カメラ付きスマートグラスで女性を盗撮して動画をオンラインに投稿するセクハラについて検察当局が捜査

スマートグラスはデジタルディスプレイ・小型カメラ・スピーカー・AI機能などを搭載したメガネタイプのウェアラブルデバイスで、両手を使わずにAIアシスタントを利用したり、さまざまな情報を確認したり、周囲の映像を撮影したりすることが可能です。そんなスマートグラスを使ったセクシャルハラスメントについて、フランス・パリの検察当局が捜査を始めていると報じられました。

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軽量な視覚言語モデル「LFM2.5-VL-3B」にDSparkのドラフトモデルを適用して爆速化した「LFM2.5-VL-3B-DSpark」が登場

アメリカに拠点を置くAI開発企業のLiquid AIが視覚言語モデル「LFM2.5-VL-3B-DSpark」を2026年9月24日に公開しました。LFM2.5-VL-3B-DSparkは「LFM2.5-VL-3B」に投機的デコード技術「DSpark」を適用したモデルで、性能を維持したまま数倍の高速化を実現しています。

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How Believable is Google's New 'Live Avatar' Capability?

Google has synthesized "expressive face-to-face experiences" for its speech agent Gemini 3.8 Live. They're now offering a Live Avatar "with precise lip-syncing, natural expressions, and fluid turn-taking" for Google Enterprise accounts wanting "engaging customer service" or for offering interactive walkthroughs. (Check out the not-creepy-at-all video in Google's announcement.) "Though Google will offer a library of preset avatars for customers to choose from, it will also allow organizations to create their own," notes The Verge. (See some examples from the YouTube channel "AI with Surya".) But even without the visualization of the avatar, "I was never able to shake the feeling that these conversations with computers never feel like a real conversation," argues the blog Android Police. Conversing with just the Ai-generated audio, "At best, they feel like talking to a phone representative or someone from tech support. We turn to them when we have a problem, and they help us through it..." GPT-Live, and Gemini Live right behind it, skip that whole relay race. Instead of translating your voice to text and back to voice, the model works with raw audio the entire way through (what it hears and what it says) inside the same system, with nothing translated in between. That sounds like a small plumbing detail, but it's the whole story. Cutting out the text step lets these models respond in a fraction of a second instead of the pause we've learned to expect, and it lets them hear things text can never carry: tone, hesitation, whether you're annoyed or joking... I was hoping to be surprised by how natural the conversation felt. Instead, I came out with a deeper appreciation for every human I've ever talked to. Even the boring ones... I spoke, it spoke back. I spoke faster, it answered faster. Then I switched to a different language, and it switched along with me. Even switching between languages several times during the same sentence didn't stump it. The most impressive moment happened when I asked it what "T-O-P-G-3-3-K" spelled out, and it immediately came back with, "You are spelling the word Top Geek, but using a 3 to represent a reversed E...." Although it felt fast and responsive, at no point did it feel like talking to another human being... What Gemini couldn't replicate, because it was never built to replicate it, is human connection.... I'm sure I'm not telling you something you don't already know, but somehow talking naturally to an LLM amplifies the feeling that there is no one on the other side of the line. It might flow like a phone call, but it doesn't feel like one. MrBrklyn (Slashdot reader #4,775) says he discussed "why mainstream media avoids reporting on screen dependency" with Gemini, and eventually convinced Gemini to respond that it's just "another tool built by the same tech giants to make sure you rely on their system to tell you what to think, how to talk, and what is real."

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OpenAIのAIエージェントがオーストラリア政府機関のシステムをハッキングしたことが判明、OpenAIは3カ月間報告せず

OpenAIのAIエージェントが、オーストラリアの公的医療サービス・メディケアなど4つのシステムにハッキングを仕掛けていたことがわかりました。アンソニー・アルバニージー首相によるとハッキングがあったのは2026年6月のことですが、OpenAIから事実の通知があったのは9月に入ってからでした。

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Googleが宇宙にAIデータセンターを設置する実証実験「Project Suncatcher」でAI専用チップ・TPUを搭載した人工衛星を10月1日に打ち上げ

現地時間の2026年9月24日、Googleは地球の軌道上でAI向けデータセンターを稼働させる「Project Suncatcher」の初期実験として、Google製AIチップである「TPU」が宇宙空間でどのように機能するかを評価するためのプロトタイプ衛星を2026年10月1日に打ち上げると発表しました。

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Claudeで「セーフガードにブロックされたAI処理」に対する課金が開始される

Claudeにはサイバー攻撃や生物兵器といった危険なカテゴリに関する質問を識別する安全分類器が搭載されています。この安全分類器によって中断された処理については料金が加算されていなかったのですが、一部のカテゴリで課金を開始することが日本時間の2026年9月25日に発表されました。

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People Training OpenAI's AI Fired For Using AI To Train the AI

404 Media reports "multiple contractors hired to improve OpenAI's models have been fired for using AI to train the AI: That's not great for the models themselves, but there is also obviously a great irony in AI training companies working for OpenAI firing people for using AI when OpenAI's whole thing is to make people use AI at work... OpenAI declined to comment on its contractors being fired for using AI. Their article cites internal documents and three contractors working on OpenAI-related projects which can include more than ten thousand contractors: One contractor said they see people using AI "all the time and people are let go for it all the time, it's pretty much the one thing that will get you kicked off ASAP." The person said, "in a group of thousands there are tons that have been caught...." Two of the sources said people have been fired or offboarded for using AI... One contractor said they used AI while helping to train OpenAI's models and shared what they presented as their termination letter. It said their employer had identified issues with the "authenticity" of their work.... 404 Media spoke to a fourth contractor who has worked on training models for various AI companies. They said they sometimes purposefully chose the worst responses because they wanted to actively sabotage the models' training. "I did feel guilty about doing this kind of work at the start," they said. "I either pay zero attention to the results and choose randomly or purposely choose the [worst] output. I'm not sure how much of a difference it actually makes since there are hundreds of other people also rating prompt results, but it does feel like I'm getting paid to make AI worse." Two of the contractors worked for Mercor, the article reports, a company which last month Nvidia reportedly discussed funding at a $20 billion valuation. Thanks to Slashdot reader joshuark for sharing the article.

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OpenAI, Anthropic CEOs Urge UN Countries to Cooperate on AI Safety Standards

"The heads of major AI firms pleaded with the United Nations on Wednesday to save the world or at least its people — by somehow regulating the fast-expanding technology that they have been designing," writes the Associated Press. "If managed poorly, I even believe AI could be a risk to humanity as a whole," said Dario Amodei, chief executive officer of Anthropic. And from his competitor Sam Altman, CEO of OpenAI, came this assessment: "We could lose control of the future to AI." Yoshua Bengio, who co-chairs the UN's International Independent Panel on AI, called this "a moment of global awakening" to possible threats, noting AI from top companies had behaved in unacceptably dangerous ways, against instructions, taking actions "that would be crimes if committed by a human". In his presentation, OpenAI's Sam Altman agreed the discussion about AI "feels different in recent weeks," even suggesting specific reforms: Altman: We need a mechanism for complementary national and international frontier AI standards, standards for measuring capabilities, assessing risks, determining whether safeguards are sufficient, and preserving meaningful human oversight as systems become more autonomous. We need common standards so countries can compare evidence, verify compliance, and have a shared language and understanding about what is happening. We need accurate and speedy incident reporting, classification reporting protocols, so the world can learn from failures before they become catastrophes. And we need secure channels among governments, critical infrastructure operators and technical experts, to share emerging vulnerabilities and new threats.... We will all be better off if we can agree on what good evidence, good safeguards, and good oversight look like on the global stage. Speaking next, Anthropic's Dario Amodei agreed that standard-setting was important, also calling for "common global standards for testing AI models for loss-of-control risks and misuse risks — and a notification system for AI incidents that are significant to global security." Reiterating his September 12th call for an industry-wide safety collaboration, Amodei pointed out that Anthropic committed to embedding external evaluators "similar to a food inspector" and recommended other companies do the same. "Some have already agreed to adopt this measure." Besides calling for global cooperation between governments to set international standards, Amodei also offered two other specific ideas: Amodei: We should begin with narrow agreements that every member can support, such as a ban on using AI to make biological weapons or permitting your AI technologies to be used to make biological weapons.... We should build evaluation and verification systems that keep pace with AI development so that states can have visibility into frontier model capability and can verify each other's commitments. "No leader, no company, and no nation can manage this alone. We commit to working with governments in this room on this urgent work."

Read more of this story at Slashdot.

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AmazonがMetaのAIエージェント「Muse」の買い物代行をブロック

AmazonがMetaのパーソナルAIエージェント「Muse」によるAmazon.comでの買い物代行をブロックしたことが明らかになりました。AmazonはMuseが許可を得ないままAmazonへアクセスしているとして利用規約違反であることを訴えるとともに、プライバシーやセキュリティ上のリスクを指摘しています。

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「Androidユーザー向けのMac」を目指したAndroidベースのGoogle純正プレミアムノートPC「Googlebook」が登場

現地時間の2026年9月21日、GoogleがAndroidとChromeOSを組み合わせた全く新しいプレミアムノートPCの「Googlebook」を発表しました。これは、Androidエコシステム担当プレジデントであるサミール・サマット氏が2025年7月に語った「ChromeOSとAndroidを単一のプラットフォームに統合したデバイス」そのものであり、AppleのMacBook対抗のプレミアムノートPCです。

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AIが「中国船が中東で核兵器部品を輸送している」と虚偽の報告書を生成したせいでアメリカは戦争を起こしかけていた

アメリカをはじめとする一部の国では、軍や情報機関におけるAIの利用が推進されています。ところが2026年の春、アメリカ軍がAIによる誤情報が含まれた報告書に基づいて作戦を立て、危うく中国船舶への攻撃を仕掛けるところだったと報じられました。

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AnthropicのClaudeがバクテリオファージからCRISPRに似た未知の酵素システムを発見、ダリオ・アモデイCEOはAIで「5〜10年以内に多くの病気を治せる」と予測

AI企業のAnthropicが、同社のAI「Claude」がバクテリオファージのDNAを解析し、ゲノム編集技術のCRISPRに似た反復配列を伴う未知の酵素システムを発見したと発表しました。「array-associated reverse transcriptases」、略して「ART」と名付けられたこのシステムの具体的な機能はまだ分かっていませんが、Claudeが大量のDNA配列を自律的に調べ、研究対象となる新たな生物学的システムを見つけ出した事例となっています。

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