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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Black Forest LabsのマルチモーダルAIモデル「FLUX 3」から派生した、ロボット制御向けの世界行動モデル「FLUX 3 Action」が公開されました。

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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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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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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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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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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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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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"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."

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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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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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NVIDIAが音声認識AIモデル「NVIDIA Nemotron 3 Diarization」を公開しました。最大8人の話者を識別しつつリアルタイムでの文字起こしが可能です。

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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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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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1941年にドイツ軍が送信し、長年にわたって解読が試みられていた82文字のエニグマ暗号「MVUEH」が、OpenAIのAIモデル「GPT-6 Astra」を使った調査によって解読されました。暗号研究サイト「Crypto Cellar Research」を運営する暗号研究者のフローデ・ワイエルード氏も結果を確認し、復元された暗号鍵と平文が正しいと判断しています。

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中国企業のAlibabaが画像生成AI「Qwen-Image-2.1」を2026年9月20日に公開しました。Qwen-Imageシリーズとしては久しぶりのオープンモデルで、無料でダウンロードしてComfyUIなどの実行環境で画像生成および編集を実行可能。「透過PNG作成機能」や「複数の参照画像をもとにした画像生成機能」などを備えているとのことなので、実際にPCでローカル実行してみました。

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現地時間の2026年9月23日、YouTubeが年次開催イベントのMade On YouTube 2026を行い、YouTube向けの新機能を大量に発表しました。

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