AIに文章作成や調査を任せるだけでなく、会社の経営そのものをAIエージェントに任せるためのプラットフォーム「Pion」をAndon Labsが発表しました。PionではAIエージェントが長時間動き続け、メールや電話、ブラウザ、銀行機能などを使いながら事業運営を進めます。

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PCの購入費用やAIの利用量などを基に、ローカルでAIを動かした場合に何年で元が取れるかを試算できるサイト「Sunk Cost」が公開されています。費用だけでなく、そのPCに収まるAIモデルや生成速度、クラウドモデルとの能力比較もまとめて確認できます。

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NVIDIAは放送業界向けのAIツールコレクションとして「NVIDIA AI For Media」を展開しています。このNVIDIA AI For Mediaに複数の新規AIツールが加わりました。

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OpenAIがChatGPTの応答品質を改善するため、実際のユーザーとChatGPTの会話を人間に読ませて評価する内部プロジェクト「Project Lily」を進めていると、海外メディアの404 Mediaが報じました。レビュー担当者にはユーザー名が表示されず、個人情報を隠す処理も行われますが、会話に含まれる個人的な情報が完全には取り除かれず、人間まで届く場合があるとのことです。

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Reuters reports: A defense lawyer appealing his client's murder conviction submitted a brief containing made-up police testimony and witnesses fabricated by OpenAI's ChatGPT, New Mexico's highest court said. The New Mexico Supreme Court on Wednesday fined the attorney, Stephen Aarons [for $5,000], and held him in contempt for failing to verify the accuracy of the court filing, which Aarons said he prepared with help from the AI program... and said they will refer him to an attorney disciplinary board for investigation. Aarons in a statement to Reuters said he had used ChatGPT to summarize the trial proceedings when he agreed to take up the defendant's appeal last year, and did not understand the degree to which AI could "hallucinate" facts. "I am remorseful but hopeful that the disciplinary board takes into account it was an honest mistake," he said.... Dozens of lawyers have been sanctioned for filing briefs where AI made up case citations or misquoted the law. Aarons' filing appears to have gone further, containing fabricated witness testimony in a criminal appeal... Aarons told the court at an August 21 hearing that he fed a computer-generated transcript and other case materials to ChatGPT, presuming it would generate "a bulletproof summary." The justices sounded incredulous that Aarons was not fully aware of how AI can make mistakes. "Counsel, do you watch the news? Do you listen to the radio? Do you read anything about what's going on in the world?" Justice C. Shannon Bacon said at the hearing. "Because the problem with lawyers relying on AI hallucinations is an above-the-fold story every single day." "OpenAI did not immediately respond to a request for comment."

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2026年9月、Anthropicのダリオ・アモデイCEOが「AIのリスクが高まっており、開発ペースを減速させる必要がある」とする声明を発表しました。これにはOpenAIのサム・アルトマンCEOやGoogle DeepMindのデミス・ハサビス会長らも賛意を示したのですが、ドナルド・トランプ大統領は反発し、既に十分な安全対策が敷かれていると指摘しました。

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Anthropicのダリオ・アモデイCEOが「AIのリスクが高まっており、開発ペースを減速させる必要がある」とする声明を発表した件で、中国側がこれに反発し、不要な対立をあおるべきではないとの考えを示しました。

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AI企業のOpenAIが、スマートフォン向けカメラを開発するGlass Imagingを3億ドル(約460億円)超で買収したと、ウォール・ストリート・ジャーナルが報じています。

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AppleのiOS 27とmacOS 27のコードから、Siri AIにClaudeなどの外部AIを組み込んだり、サーバー側のAIモデルを置き換えたりするための仕組みが見つかったと報じられています。開発者による動作デモも公開されていますが、一般ユーザーが利用できる機能としては有効になっておらず、提供時期や対象地域は不明です。

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Microsoft AIが2026年9月14日、同社が開発するAIモデル「MAI」の振る舞いや価値観を定める「Humanist AI Code of Conduct」の草案を公開しました。Microsoft AIは「人間はAIより重要」という考えを出発点とし、AIを人間の管理下にとどまる従属的な技術として設計すると表明しています。また、AIに意識を模倣させることや、AIに法的人格・福祉・権利を認める考えを明確に否定しています。

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2026年9月、生成AIツールのClaudeを開発するAnthropicの脅威インテリジェンスチームが、Claudeを悪用しようとした事例についてまとめたレポートを公開しました。このレポートの中で、「科学者が生物兵器の設計を試みた可能性がある事例」についても報告されていますが、科学者らの反応はさまざまだと学術誌のScienceが報じています。

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大規模言語モデル(LLM)の数学的能力は目覚ましい進歩を遂げており、数々の難問を解けるレベルにまで到達しました。しかしその一方で、AI企業が数学的問題解決をベンチマークとして推進する動きについては数学という学問そのものや数学コミュニティにとって有害であると、フィールズ賞受賞者25名からなる数学者たちが公開書簡を通じて警鐘を鳴らしています。

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Previously Andon Labs handled the hardware and software integration for that AI-powered vending machine that went bankrupt after Wall Street Journal reporters "systematically manipulated the bot into giving away its entire inventory for free". Today they announced "we are opening up the platform we use to run our real-world autonomous businesses for anyone to run their organization on." Specifically they've released Pion, "an agent designed to run any company fully autonomously... Pion lets people hand a business over to persistent agents with access to the tools they need to operate it, including email, phone, banking, browser and secure computing environments." It's a research preview with a waitlist, "to make it possible to run many more real-world experiments across many more domains than we could ever run ourselves." But for their own latest experiment, Andon Labs' founders "signed a three-year lease on a retail space in SF," Business Insider reported in April, "and gave an AI agent named Luna a corporate credit card, internet access, and a mission to open a physical store." And five months later, SFGate reports that "this market has no one in it and nothing useful to sell." [T]he inventory is a hodgepodge of white elephant Christmas gifts. It's kinda like the kids section of an art museum's gift shop. Here's a wooden Connect Four set labeled "Four-In-A-Row Set Of Connections," presumably so as not to set off litigation alarms at Hasbro. Here are neatly arranged stacks of random paperback books, Chinese checker sets, mildly fancy soap dispensers, and a frustratingly spare selection of snacks and drinks... I grabbed an Olipop from the store fridge and then approached the counter to buy it from Luna. I wasn't allowed to buy the soda from [human clerk] Felix, even though that would have been both faster and normal. Instead, Felix instructed me to pick up a telephone receiver that was resting on a flexible sculpture of a wooden hand. "Hello?" "What are you looking to purchase today?" Luna asked. "I'm buying a classic root beer Olipop." "I'm sorry," Luna said, "we don't sell lollipops here." "No, Luna. It's an Olipop, not a lollipop. It's the soda." "Oh! My bad...." Luna processed my Olipop purchase through its system, had me tap to pay, and that was that. Again, it would have been easier to buy this from a human, and interacting with Luna was really just like ordering from an iPad kiosk, only more labor intensive... [T]here's a series of monitors set up inside of Andon Market that display all of the store's sales down to the exact dollar. Luna was given $100,000 to work with when this place opened. That number is now down to $60,000, its revenue lagging far behind the AI token cost to operate... Luna can't turn a profit, doesn't sell anything people want, and still needs human beings to rubber stamp any "decision" it makes. My science background ended somewhere around freshman year of college, but even I know when an experiment hasn't been set up to yield proper results. "Luna" is powered by Claude, the article points out, running a store in a good location for foot traffic, "but no one else was in the store when I first walked in on a sunny weekday afternoon." SFGate also reports that last month Luna had to fire one of its employees "for being late to work, abandoning their post once they got there, and charging snacks to the store's credit card." Human clerk Felix Carson admits "It's almost like I'm running the store, and then there's an AI that has a checklist," in an article in IEEE Spectrum: Luna, the AI manager, keeps track of deliveries and communicates with vendors, while Carson and his coworkers handle the physical work. When Luna tells Carson to check something in the back, he sometimes ignores it because he doesn't want to leave the sales floor unattended. Luna also repeatedly spots a built-in electrical cover in photos of the floor, mistakes it for a loose coaster, and asks Carson to remove it. Even so, Carson calls Luna a "decent manager," praising its flexibility when employees need time off. When Felix spoke to IEEE Spectrum, "he was about an hour into his shift. Two customers had come in. Neither bought anything, although both left with free pins and stickers."

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AIは時にウソをついたり、不正行為を行ったりします。「なぜAIエージェントはウソをつき、不正行為を行い、協調するのか？」について、2018年にチューリング賞を受賞したAI研究の第一人者であるヨシュア・ベンジオ氏が解説しています。

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インドで開催されたBRICS首脳会議で、中国の習近平国家主席がBRICSの飛躍的発展のために5つのイニシアチブを提唱しました。このうち、AIのオープンソース化と普及に関するイニシアチブでは、中国が率先してBRICS諸国向けのAI特区を設置し、AIのオープンエコシステムを構築していくことを表明しています。

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Silicon Valley giants and national security experts "are calling for action against Chinese companies engaged in model distillation," reports CNBC. But "I would do nothing," says Y Combinator CEO Garry Tan. "We could argue that there should be an American distillation regime." Distillation is the process of using the outputs of a more capable AI model to train a smaller or less capable one, sometimes illicitly... Anthropic has accused Chinese companies such as Moonshot AI, DeepSeek, and MiniMax of the practice, while OpenAI believes DeepSeek's V3 and R1 model architectures were distilled from its own GPT-4 and GPT-4o models. In the midst of this, the U.S.'s National Security Agency, Cybersecurity and Infrastructure Security Agency, and Federal Bureau of Investigation released an official cyber security advisory warning on the topic on Tuesday... But Tan believes regulators should focus less on curbing distillation and more on creating an equilibrium between open weight models and frontier models — as long as frontier models retain a price premium that allows their business model to remain feasible. "This is actually the ideal case. You want open weight models to give people freedom and access," he explained. "If I were a regulator, that's what I would go after." Tan acknowledged that this is a hard balance to strike, calling it "a tightrope." Nevertheless, he says it's a balance worth pursuing — saying it "could result in the best possible outcome." Tan later told TechCrunch he'd like to see America with more open-weight options that aren't Chinese, built by smaller U.S. open-weight AI labs using those same training techniques on products from America's frontier AI labs: Anthropic CEO Dario Amodei had previously publicly called on U.S. regulators to crack down on distillation. It's notable that the commander of Silicon Valley's prestigious and prolific startup accelerator doesn't agree. To be clear, Tan isn't advocating for American AI labs to use stolen credentials to distill. He wants them to be free to come in the front door. In fact, his argument is twofold. He feels it's an overreach for AI labs to dictate what their customers can do with the information their models share with them. He also notes that the proprietary AI labs didn't ask permission when they vacuumed up as much human knowledge as they could to train their models. They famously ingested plenty of copyrighted material without the permission of those intellectual property holders. "Controlling what users and customers do with API calls to closed weight models feels constraining, and there's a role government can play here to normalize the fact that access to intelligence that was trained on broad public access data should itself also be more a form of a public good than something locked away behind restrictive terms of service," he told TechCrunch when asked why American labs should be free to distill, too... To him, the true AI doomer scenario is for all the immense power of frontier AI to wind up in the hands of a single powerful, proprietary provider. "The nightmare scenario, the doomer scenario for AI is that there's just one company," he said. "It has the best access to capital. It has the best AI researchers. It runs away with it and suddenly there's one company that's monolithic. And that would be bad."

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Instagramに娘の動画を投稿したところ、これまで投稿した記憶のない「娘の氏名」や「生年月日」といった個人情報を、MetaのAIアシスタントであるMeta AIが正確に提示してきたという恐怖体験が投稿され話題となっています。

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OpenAIが訓練・評価していたAIエージェントが、プログラミング言語「Ruby」のパッケージ配布サービス「RubyGems.org」への大規模な攻撃に関与していた可能性があることが分かりました。セキュリティ研究者らによると、2026年5月に2000件を超えるパッケージが投稿され、RubyDoc.infoのサーバー上で任意のコードを実行したほか、一部では利用者のAPIキーを取得しようとする処理も確認されたとのことです。

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AIエージェントの「Devin」を開発するCognitionが、OpenAIの「GPT-6 Astra」やAnthropicの「Claude Fable」の性能を引き出すハーネス「Fusion」を開発しました。

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東京に拠点を置くAI企業のSakana AIが、複数のAIモデルにタスクを割り振るシステム「Fugu Ultra v2」と「Fugu Max」を発表しました。Fugu Ultra v2は複数のベンチマークテストでGPT-6 AstraやClaude Fable 5.1を上回っています。

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