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Agent Mosaic: エージェント型LLMシステムの機密性漏洩検知
Modern LLM agents can retrieve information from accessible documents, and then disclose a sensitive conclusion assembled from them. This mosaic effect creates a critical risk for agents operating over confidential data. We quantify its realization with 30 synthetic cybersecurity, medical, and milita…
世界アクションモデル向け自己蒸留型将来ビデオ表現
World Action Models (WAMs) have emerged as a promising approach to learning generalist robot policies using rich spatiotemporal priors from pre-trained video diffusion models. A recent line of WAMs improves inference efficiency by conditioning a separate action decoder on intermediate future video r…
LaLa-World: 自然言語アクションで潜在世界モデルをスケーリング
This paper shows that JEPA-style latent world models (LWMs) can learn across diverse domains and data sources by adopting the language-conditioned interface of video generation models. We establish this approach as an effective and efficient basis for planning with imagination and downstream policy…
物理AIにおける再帰的自己改善へ向けて
Recursive self-improvement (RSI) describes a system that improves not only its behavior but also the process by which it improves. Recent digital agents test this idea by rewriting their own code and checking each version with executable tests. Bringing these mechanisms into the physical world requi…
DONIC：人間デモンストレーションからの汎用二腕器用追従制御
Despite recent progress in dexterous reference tracking, existing models focus primarily on single-hand manipulation and a limited range of interactions, leaving the bimanual dexterous behaviors common in real life unaddressed. The scarcity of contact-rich bimanual manipulation data and the increase…
展望：自己回帰型映像生成における将来進化のモデリング
Autoregressive video diffusion models generate videos chunk by chunk, yet producing plausible continuations does not guarantee that they capture how scenes evolve. Under teacher forcing, strong temporal redundancy may allow local visual continuity to serve as a shortcut for current-chunk denoising,…
Cloudflareが脆弱性発見とOpenAIによる防御を連携
Cloudflare uses OpenAI Daybreak to investigate vulnerabilities and propose fixes for review. Its developers use Codex to build faster and improve code quality.
OpenAI API Changelog 2026-10-21
Feature You can now choose which service tiers projects can use in Platform settings. Organization settings can restrict service tiers for all projects. See service tier errors .
フロンティアAIの民主的ガバナンス、パート II：サイバー防御者の支援
OpenAI outlines a blueprint for empowering cyber defenders with frontier AI, stronger safeguards, modernized cybersecurity, and more resilient public institutions.
NVIDIA Cosmos3-H-Dreams：生成シミュレーションで臨床手術を実現
FairStress：LLM意思決定における公平性の深層評価
中小企業向けの新しいGeminiツール
"Your brand, your tools, all in one place" banner featuring three feature highlights: "Create image styles for your brand," "Customize Gemini with apps and skills," and "Create content with templates."
ALTK-Evolve：学習メモリがフロンティアモデル不要でカスタマーサービスタスクのτ²-benchでトップ
Voxtral 3
Voxtral 3: Mistral's voice agent SDK for real-time speech in 50+ languages — accurate transcription, emotional TTS, deep tool use. EU-hosted or self-deployed.
フランチャイズオーナーがChatGPT Workで現金照合を94%削減
An independent Schlotzsky’s and Cinnabon franchisee cut menu repricing time by 95% and built a workflow that could free up $100K in cash flow.
Terminal Xがシニア投資家の判断と88.6%の一致度を達成（GPT-6.1ベース）
Terminal X’s Eval Agent grades outputs against a 54-criterion rubric, catching 25% more deviances from a fund’s mandate with GPT-6.1 Sol.
HABIT-Bench：エージェントメモリの弱い縦断的証拠からの習慣誘導を評価
In long-term interactions with large language model (LLM) agents, users reveal habits through their choices and actions. These habits capture implicit user information that agents must infer across conversations. However, individual observations may provide only partial evidence about a habit or whe…
RLSplat：フィードフォワード3Dガウシアンスプラッティングのリソース線形予算制御
Feed-forward 3D Gaussian Splatting (FF3DGS) reconstructs 3D scenes from images in a single forward pass, making it well-suited to applications that must operate within limited resource budgets. To further improve its practicality, recent budget-controllable FF3DGS methods allow the number of Gaussia…
Policy-Mask: 拡散特徴量の予算制約付き識別タスク適応
Selecting intermediate features from a frozen diffusion model for discriminative tasks is non-trivial because the useful signal is distributed across the denoising trajectory, network depth, and channels. In practice, this requires choosing a timestep, a block, and a channel subset. Existing methods…
ゲーム内スケーリング：多様な仮想環境における体現型エージェントの継続事前学習
Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse experiences remain grounded in shared physical laws. Whether these gains extend to virtual worlds with different visual styles, dynamics, controls, and objectives remains unclear. We inv…
StreamEval：インタラクティブ映像ストリーミング生成モデルの評価
As streaming video generation advances, enabling real-time interaction with generated video is becoming increasingly important. We introduce StreamEval, a unified benchmark for interactive streaming video generation spanning five tasks: avatar dialogue, avatar performance, world generation, instruct…
エージェント向けキャッシュエンジニアリング
Large Language Model (LLM) agents can handle increasingly complex tasks, navigating long trajectories of observations and actions. As these trajectories grow, key-value (KV) cache I/O and storage become the dominant cost. Trajectories can also exceed the LLM's maximum context length, requiring contr…
Joints, Camera, Action! 任意のリグに対応した3Dモーションとビデオの同時生成
Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond pixels: to animate a specific 3D asset and replay the animation in its 3D scene. For instance, a video model can show a monkey jumping over a crossbar, but it cannot return that jump a…
点軌跡予測を通じた4D世界の学習
Reliable multi-view forecasting requires videos from different cameras to describe the same evolving 3D scene. To this end, we introduce Video-Point Model (VPM), a world model that conditions on multi-view video histories and a language instruction to jointly forecast future videos from arbitrary vi…
SolarRenderer：少ないステップでの生成型参照レンダリング
Game engines and coding agents can specify the layout, motion, and camera of a scene, yet turning such coarse structure into realistic video requires a renderer that follows the structure and completes the appearance it leaves open. Existing renderers are tied to the representation of one engine, ne…
Sage-A1.5：長期実行から科学探索へ、能力合成を活用
In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition. Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach d…
S-Agent 2.0：汎用コーディングエージェントを用いた空間推論
Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move. Agentic VLMs have recently brought large improvements on such tasks by letting the model actively gather evidence with 3D perception tools instead of answering in a single pas…
PAR：状態追跡における長さ一般化のための進捗整列リカレンス
Looped language models can run more iterations at test time, but additional iterations need not help them solve longer problems. For sequential state tracking, final-answer supervision does not specify how far each iteration should advance, and repeated updates can change the scale of the recurrent…
Matrix-Game 4.0：ビデオモデルでリアルタイムプレイ可能なゲーム世界を実現
Moving from controllable videos to genuinely playable worlds requires persistent world state, executable game rules, and low-latency interaction. We outline a roadmap for the next generation of Matrix-Game that separates game execution from visual generation through an executable game harness, and i…
PyTorch 2.15のMPS
AnyLanguageModel 1.0: Apple プラットフォーム上のローカルモデル1年間の開発成果
Hugging Face ❤️ TorchTPU: ネイティブTPUサポート
OpenAI API Changelog 2026-10-20
Feature v1/responses You can now choose 12-hour prompt caching in the API. 12-hour prompt caching keeps shared instructions, tools, and context cached longer to benefit from lower cached-input pricing, even when requests are hours apart. 12-hour cache writes cost 2.5x the input token price. Read mor…
OpenAIがOrchestra Bioを買収
OpenAI is acquiring Orchestra Bio to bring AI-powered operations to life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.
ソブリンAIの設計：エッジからクラウドまでの共通基盤
A flexible sovereign architecture allows organizations to place each workload in the right environment, apply the controls it requires, and maintain consistency. The post Designing for sovereign AI: A shared foundation from edge to cloud appeared first on Microsoft Azure Blog .
Geminiでコーディネートをスタイリング 4つのティップス
UI showing a user asking Gemini to put a person into various outfit items
低リソースプログラミング言語でのコーディングの推進
Learn how OpenAI is improving ChatGPT across low-resource programming languages, with new evaluations for software engineering, SQLite, and COBOL migration.
Omni-Woodpecker: Omni LLMsの証拠優先度の再調整による幻覚修正
Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations remain a major challenge. Existing mitigation methods mainly operate at the output level, overlooking the entanglement of grounding evidence and learned priors within fu…
実世界Webで深い検索を実現
Despite substantial progress in Deep Search agents, their ability to conduct end-to-end research in real-world open Web environments remains insufficiently evaluated. Unlike static retrieval settings, information on the real-world Web is distributed across diverse sources, modalities, and heterogene…
野生のエージェント世界モデル：コンピュータ操作エージェント環境合成
Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such learning directly in real-world computer systems is challenging and can introduce substantial security risks. We therefore propose Agent World Model in the Wild (WildAWM…
SpatialScout：VLMエージェントは3Dシーンを能動的に探索・マッピングできるか
Spatial intelligence requires agents to actively acquire visual evidence and integrate observations into a coherent representation of the three-dimensional world. Yet spatial question answering offers limited evidence of whether models can construct accurate metric maps through autonomous exploratio…
SpecKCast: 拡散高速化のためのスペクトルカルマンフォーキャスティング
Diffusion Transformers (DiTs) achieve high-fidelity image and video generation, but they suffer from substantial inference costs due to repeated transformer evaluations across many denoising steps. Feature caching reduces this cost by reusing features across denoising steps. Recent forecasting metho…
SWIFT: Target外挿を用いた自己ガイド型弱から強への拡散モデル
Training high-quality diffusion models is computationally expensive, and inference-time guidance often adds further sampling cost. In this work, we introduce Swift, a simple yet effective self-guided training method that uses a frozen weak denoiser to improve a stronger model without adding inferenc…
Ropedia W0：人間の経験を活かしたロコモーションマニピュレーション世界モデルのスケーリング
World models enable embodied agents to anticipate action consequences, yet jointly modeling locomotion and manipulation across diverse embodiments remains challenging due to heterogeneous action spaces and limited multimodal supervision. We present Ropedia W0, the first egocentric loco-manipulation…
フォーカス型マルチモーダルGUIエージェント
Graphical User Interface (GUI) agents increasingly act over streaming omni-modal observations spanning screenshots, audio, video, interaction history, and device states. However, exposing this complete context uniformly at every step ignores that relevance is transient and sparse: the signal determi…
RoboValue: ロボティックス価値モデルの統一評価向けシミュレーションと現実のベンチマーク
Robotic value models assess task execution from visual observations and instructions, providing feedback for policy learning and execution monitoring. However, existing evaluations cover only selected aspects of execution understanding, leaving the reliability of value feedback insufficiently tested…
InfiniDream: 手続き生成による無制限フォトリアリスティック3D世界
Procedural generation plays a key role in synthetic data creation and game development, offering greater controllability, editability, and diversity than static mesh representations. However, VLM-based code generation often produces relatively simple 3D assets, while sophisticated photorealistic pro…