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OpenAI API Changelog 2026-10-28
Feature Eligible ChatGPT Pro and Business subscribers can now claim up to $500 per month in free API credits as a subscription benefit. Activate the benefit from ChatGPT or API Platform by linking an API organization you own. See API credits for ChatGPT subscribers for credit amounts, eligibility, a…
LFM3で特化型マルチモーダルモデルを構築
LLMに研究アイデアの新規性を判定させても信頼できるのか
Genie 4：新世代のワールドシミュレーション
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
RetellがOpenAIモデルで月1億件の通話を実現
GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.
Gemini 4 Argonの8つの使用例
Collage of various uses of Gemini 4 Argon
OpenAIがOracleとのパートナーシップを拡大、ChatGPT内でアプリ連携
OpenAI and Oracle are expanding their partnership to bring business applications and AI agents into ChatGPT and power new Oracle offerings.
FrameForge：ビデオ基盤モデルの事前知識を活用した統一画像生成
Unified conditional image generation requires a single model to preserve different aspects of a visual input while producing a target image that follows textual guidance. Pretrained video models provide a promising foundation by encoding visual transformations across time, yet existing approaches ty…
WorkFactory：プロフェッショナルインテント実行ワークへの変換によるスケーラブルエージェント学習
Scaling supervised training for working agents requires diverse professional tasks that yield reliable expert demonstrations. However, missing or inconsistent task information can obstruct teacher execution and weaken the resulting supervision. We propose WorkFactory, a scalable framework for constr…
Look Only When Needed：効率的拡散VLMのための証明書ガイド視覚ルーティング
Diffusion vision-language models (DVLMs) process their entire input at every denoising step. Since visual tokens make up 89-97% of this input on the benchmarks we study, most of the decoding computation is spent repeatedly processing the same image. Visual token pruning methods partially relieve thi…
離散トークンは視覚信号の意味情報を完全に保持できるか
Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction objective. However, quantization error is widely assumed to cause unavoidable semantic loss, fundamentally limiting the semantic…
VibeVideoBench：コード駆動型ビデオ生成でマルチモーダルエージェントを評価
Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a rule-consistent game or narration synchronized to on-screen events. A different route is emerging: multimodal agents that write code to render every frame and synthesize every sound. W…
ThinkWorld：世界イマジネーションが力学推論の連鎖推理を強化
Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader behavioral and environmental experience, while learning fro…
CodeCap-Bench：コードは動画キャプション生成に使えるか
Video captioning aims to preserve visual information through compact descriptions, predominantly using natural language. However, precisely expressing fine-grained spatial structures and temporal dynamics in natural language often leads to lengthy and potentially ambiguous descriptions. In this work…
Hy-Nomas：自由形式のインタラクティブ世界生成を目指して
Interactive world generation requires models to follow successive commands while preserving relevant history and action consequences. We present Hy-Nomas, a video world model with an 8B diffusion backbone that supports free-form text instructions and continuous camera control across multiple interac…
PDRVLA：物理ダイナミクス表現を備えたビジョン言語アクションモデル
Vision--Language--Action (VLA) models generate robot actions from visual observations and language instructions, but their understanding of physical dynamics remains limited. Video world models can capture scene dynamics, yet generating future videos introduces high latency into the control loop. We…
Gemini API CLI ( gemini-api ) beta : Released the Gemini API CLI ( gemini-api ), a stateless, zero-dependency command-line client for AI coding agents, scripts, and CI pipelines. Use gemini-api on the Interactions API to generate text and media, analyze files, and run Gemini managed agents . See the…
Check Pointが脆弱性研究をDaybreakで加速
With OpenAI Daybreak, Check Point speeds up the research behind new security protections, enabling its analysts to turn vulnerability intelligence into customer defenses faster.
日本発のAI製品を世界へ、Sakana AI GTM担当副社長インタビュー
Greptileがコードレビューを超えたバグ検出をGPT-6 Astraで実現
How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.
アジャイルリザーバーモデリングでスケール貯留層の不確実性分析を実現
As subsurface data grows in scale and complexity, teams need a faster, more connected way to transform uncertainty into actionable decisions. The post Scale reservoir uncertainty analysis with agile reservoir modeling appeared first on Microsoft Azure Blog .
大学生15人が選ぶGeminiの好きな機能
Three young adults gathered around a laptop looking at its screen
新たなAIクエスト: 人間の脳をマッピング
An illustration of a planet rotating to show various cartoon figures waving. At the top is the text "AI Quests"
GPT-6.1 SolがCodeRabbitの複雑なコードベースのセキュリティ強化を支援
CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
拡大するChatGPTの仕事の世界
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
UltrafastがOpenAIでインシデント調査を数時間から数分に短縮
See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.
FantasticsとOpenAIがファン体験を合理化
Fanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.
OmniShowcase：複数ビュー画像からの全方向対象一貫ビデオ生成
Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfaces that are not visible in the input. Early subject-to-video (S2V) methods condition on a single reference image and must therefore infer the subject's unseen appearance and geometry…
DTCA: 拡散言語モデルにおける強化学習のためのノイズ除去トークンクレジット割当
Diffusion language models (DLMs) generate text through iterative denoising, enabling bidirectional context modeling and parallel token refinement. Recent studies have applied reinforcement learning (RL) to DLMs and improved their reasoning performance. However, the iterative denoising process makes…
長期ホライゾンLLMエージェント向けマルチスケール方策最適化
Long-horizon LLM agents interact with their environments through complete assistant turns while generating each action token by token. We observe that critic values vary primarily across turns, motivating optimization anchored at turns with finer credit allocation among tokens. We propose Multiscale…
Rollback：ポリシー改善のための世界モデルにおける経験の時間遡及
Action-conditioned world models offer a scalable alternative to costly real-world interaction for improving robot policies. However, existing world-model-based methods largely treat world models as forward-only surrogates of the physical environment, leaving untapped a capability no physical environ…
The Trinity：マルチモーダルエージェントの能力駆動型再帰的自己改善
Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction. However, scaling this process faces two bottlenecks: constructing heterogeneous, verifiable environments is costly, and manual Harness iteration cannot keep pace with growing task divers…
Work Agents：システム、機能、最適化
As foundation models evolve from information generation to digital work execution, agents are increasingly capable of completing complex tasks across tools, applications, and workflows. However, existing research lacks a unified perspective on how agents reliably accomplish delegated work. To addres…
StreamVibe：ユーザーインテント変化に対応するプロアクティブビデオエージェント
Vision-language models are shifting from offline passive understanding toward online proactive interaction. However, prevailing methods largely rely on explicit requests while miss the implicit user intent (e.g., "where should I click next?" while a user navigate a website), meanwhile fail to update…
Generate Content API storage on by default : New projects using the Generate Content API ( generateContent , streamGenerateContent , and batchGenerateContent ) on the paid tier now store requests by default ( store=true ), matching the Interactions API. Existing projects keep their current setting.…
OpenAI API Changelog 2026-10-26
Feature gpt-6.1-terra v1/responses v1/chat/completions Released GPT-6.1 Terra , a fast, efficient model for visual reasoning, precise computer use, and clear, natural writing. See the GPT-6 guide for prompting and migration guidance.
GPT-6.1 Terraの紹介
Bringing fast and capable computer use to everyone
学術コミュニティと協力して科学的理解を構築
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
Memory Tax：エージェントメモリの正味価値を分析
Memory is increasingly used in long-horizon agents, yet the net value of building memory over direct retrieval from raw history remains largely unclear. Through a large-scale evaluation across multiple benchmarks and model backbones, we find many dedicated memory systems underperform naive RAG in ma…
ChronoReplay：ストリーミング空間知能には単一の回答インターフェースでは不十分
Training a spatial VLM to answer which side an object lies on does not require it to preserve the metric displacement that determines that answer, while supervision for a distance estimate may leave categorical relations largely unconstrained. When post-training emphasizes one readout, improvements…
Δτ-Bench: エージェントの変化する能力への対応
In this paper, we introduce Δτ-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems. In Δτ-Bench, independently evolving services continually reshape how tasks can be accomplished: familiar tools may disappear or be replaced, while more efficient alterna…
実行可能なプランと自己蒸留トランスフュージョンによる空間オーディオ生成・編集
Spatial audio authoring coordinates source decisions with soundfield synthesis. For editing, plans specify what to change and retain, while reference audio supplies further acoustic detail. We present AMBIT, a unified framework for native First-Order Ambisonics (FOA) generation and editing with thre…
InteractiveWorld：対話型MLLM アシスタント構築に向けた検証可能な人間中心環境
People have long dreamed of an assistant that is always there to guide them and remind what they forget, from new dishes to lost keys. Powered by multimodal large language models (MLLMs), egocentric AI assistants on wearable devices are bringing this dream within reach: they see what the user sees a…
DynaFlow：自由形式マルチエージェントオーケストレーションの学習
Multi-agent systems often rely on predefined collaboration structures, limiting their ability to adapt to diverse task requirements. We introduce DynaFlow, a framework that integrates free-form executable workflow synthesis into the action space of the main agent. The agent decides when collaboratio…
Qwen-Image-PE: テキスト・ツー・イメージプロンプト強化のための視覚デザイン学習
Learning visual design is essential for prompt enhancement (PE) to turn underspecified user requests into coherent visual specifications for text-to-image (T2I) generation. Existing methods preserve user intent and improve overall visual appeal, with less explicit emphasis on fine-grained design dim…
AV-FABLE: ロングフォーム動画における音声映像操作の法医学
Localized AI manipulations in long-form videos often affect brief events within otherwise authentic content, making video-level classification insufficient for forensic analysis. Existing audio-visual deepfake benchmarks largely focus on short talking-head clips, while long-form temporal forensics r…
精度を活かす：ルーブリックベースRLの報酬ハッキング軽減における精度目的関数
Rubric-based rewards enable effective reinforcement learning on non-verifiable tasks. However, because these rewards are typically defined as a weighted measure of rubric coverage, models are trained primarily to maximize a recall objective. As a result, RL-trained models produce responses that are…
Trajectory2Gym：ツール利用エージェント向けの決定根拠付き合成インタラクション
Successful tool-use trajectories are not necessarily useful supervision. Even successful interactions may underrepresent multi-step dependencies or contain actions that are unjustified by the information visible to the agent at decision time. We identify two coupled requirements for effective trajec…