AI各社の公式発表を1画面に。各社のページを個別に開かなくても最新の動きが追えます。
Vidu S2：リアルタイムインタラクティブで編集可能な空間ビデオ生成
We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the feasibility of real-time spatial video generation for both Vidu S2-Avatar and Vidu S2-Editing. Compared with Vidu S1, Vi…
Benchmark Radar：AIベンチマークと評価の生きたデータベースと検索エンジン
Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present Benchmark Radar, a living database and search engine for retrieval and…
Async GRPO with LoRA across HF Jobs：バケット、プロキシ、NCCLなし
X-AuT: クロススケール蒸留を用いた音声LLMの段階的オーディオエンコーダ圧縮
Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing complete blocks perturbs the embeddings consumed by the decoder and can cause deletion and premature end-of-sequence errors. We introduce X-AuT, a progressive framework that selects layer combination…
Mi-Ripple: AI反復編集による画像劣化の復元
Iterative reference-conditioned image editing can introduce grid-like and granular textures, commonly described as digital ripple. We present Mi-Ripple, a diagnosis-guided restoration workflow that suppresses this digital ripple while protecting image structure. Mi-Ripple separates periodic lattice…
T1：長期タスク向けのターミナルエージェント強化学習
Agent usage is shifting toward long-horizon tasks such as coding and scientific discovery, among which terminal tasks are especially important. We introduce T1, a Mixture-of-Experts model of 122B total trained with reinforcement learning, operating a real shell in a cloud sandbox for up to 300+ tool…
SenseNova-U1.5：ネイティブな統一視覚インテリジェンスへの道
We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture. We strengthen its visual interface through spatially coherent patch reconstruction and scale its training with carefully…
Gradio Workflowを使ってAUTOMATIC1111を再構築
OpenAI APIチェンジログ 2026-09-10
Feature You can now set expiration dates when creating project API keys. Administrators can also enforce a maximum key lifetime at the organization or project level in Platform settings, requiring newly created keys to expire within the configured limit. See production best practices for guidance on…
Agents APIの発表
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
GPT-Live-1をAPIで利用可能に、より自然な音声体験を実現
GPT‑Live‑1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support.
ポール・クリスティアーノ、OpenAI Foundationボード入り
Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.
Geminiが事務作業を素早く簡単に：4つの方法
"Ask Gemini" prompt box over a photo of a woman sitting in front of a laptop and looking through various documents
70年の愛の物語をフレームごとに再現
An elderly couple sitting in a movie theater. Overlayed are "Teulluride Film Festival" and "Love, Rendered"
Searchに新フットボール機能が登場
An illustrated graphic set against a vibrant green background featuring American football elements, including a gold trophy, a blue helmet, a silver whistle, a football, a mini scoreboard, and play diagrams, with the icon for AI Mode in Google Search in t
IBMが商用フレンドリーライセンスのGranite Time Series PatchTST-FM-r2モデルをリリース
AI政策のウィンドウは開いている。今行動する必要がある
Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.
AIエージェントによるレガシーコード現代化
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++. Learn how it was done, and the lessons to carry forward.
GPT-6 Astra：ワークインテリジェンスの次世代
Meet GPT-6 Astra, OpenAI’s most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment.
NCP-ArchPreview技術レポート：次概念予測によるラテント空間言語モデルへの進展
We introduce NCP-ArchPreview, a latent-space language model that pushes autoregressive pretraining beyond standard next-token prediction (NTP). Alongside NTP, the model learns through Next Concept Prediction (NCP) to predict discrete concepts that span multiple tokens, introducing an explicit and mo…
プログラマブルワールドモデル
Recent video world models generate increasingly realistic and interactive visual experiences, yet lack reliable mechanisms for maintaining persistent world state and enforcing programmable rules over extended interactions. We introduce Programmable World Model, a framework that decouples world-state…
Show-Harness：VLMエージェントだけでロボットを操作可能
Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to "play" robots through a compact semantic interface linking intent to action…
ベンチマークを超えて：適応的アプローチが科学的発見を推進する
For research and development (R&D) organizations, the promise of agentic AI is not a better one-time answer. It is a new way to explore complex scientific and engineering problems: pursuing multiple hypotheses, validating them against evidence, learning from what does not work, and adapting their ap…
GPT-5.6 Solが量子コンピューティング実験の実行を支援
See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.
誰のためのセーフティか? トピック全体ではなく適切な部分集合を拒否する
AlphaGenome Atlas: 人間ゲノムのあらゆるDNA塩基変化の予測マップ
AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.
今手の届く仕事へ
Explore how more capable, affordable AI can expand the work people and businesses can accomplish—and make growth more economical.
Mistralが30億ユーロを調達、主権的でオープンウェイトのAIを技術フロンティアに
Mistral today announced that it has raised €3 billion in a Series D funding round at a post-money valuation of more than €21 billion.
ChatGPT Images 2.5を発表
ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas.
ナビエ–ストークス方程式のミレニアム懸賞問題について
We’re sharing an AI-generated solution to the Navier–Stokes Millennium Prize Problem, including a writeup and a formal proof in Lean.
AIと思春期の発達研究の新たな助成金プログラム
Apply now for OpenAI’s $5 million grant program supporting independent research on how generative AI affects teen development, well-being, and safety.
Grouped Value Attention：オンデマンド鍵再構成によるKVキャッシングの効率化
The KV cache is a primary bottleneck for Transformer decoding: its memory footprint and cache-read traffic grow with sequence length. Grouped-query attention (GQA) reduces this cost by sharing key-value heads, but still stores both a key and a value at every step. We introduce Grouped Value Attentio…
Feyospace-v1:Cyber Mercury Sevenがフロンティアサイバーモデルをいかに訓練したか
Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the cost of executable environments, reliable multi-turn supervision, and access to strong teachers. We present a data-centric framework that addresses…
SWE-Bench Pro Verified: ソフトウェアエンジニアリングエージェント向けの信頼できるベンチマーク
SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging repository-level tasks. However, our analysis work show that its evaluation is undermined by two sources of unreliability: reward hacking, enabled by leakage of gold solutions or hidden evalua…
AgentGrad: マルチエージェントシステムのための介入ガイド付きプロンプト最適化
Large language model (LLM)-based multi-agent systems (MAS) achieve strong performance by employing specialized multiple agents, yet their performance depends on the prompt design of each agent. For MAS prompt optimization, textual gradient methods that guide prompt updates using natural-language fee…
Miles v0.1：本番レベルのポスト学習
We present Miles v0.1, a full-stack, production-ready system for frontier post-training. Building upon the clean design of slime, Miles designs each stage of the reinforcement-learning (RL) training loop around a single principle: components should be verified, clean, and customizable. With accuracy…
Marigold V2：単眼深度推定のための拡散トランスフォーマー再考
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics, among others. Despite the field's maturity, recent models still struggle to generalize to out-of-distribution inputs an…
Mask Forcing:デュアルノイズマスキングロールアウトによる自己回帰動画拡散蒸留の改善
Autoregressive (AR) video diffusion models have shown great potential in real-time video generation. Recent methods distill pretrained bidirectional video diffusion models into causal AR students through Distribution Matching Distillation (DMD), but the generated videos often suffer from over-satura…
オンポリシー逆蒸留による弱強汎化の引き出し
Weak-to-strong generalization asks whether stronger models can learn from weaker supervisors and surpass them. This question is particularly important for successive model generations and multi-domain consolidation, where repeating frontier-scale post-training from scratch can be prohibitively expen…
Omni Interaction Agent Technical Report
In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic capabilities within a single framework. In contrast to turn-based conventional paradigms, Gander continuously receives streaming inputs across multiple modalities, including video, sp…
AuK Technical Report:音声生成・編集向けのオープンソース基盤モデル
We introduce AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context. To support this broad capability set, we construct approximately 3.03 billion instruction--audio instances and 1.95 million ho…
NeoHorse-1:ルーティングハーネスを用いたエージェント型ポストトレーニングによる再帰的自己改善
Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and converts that evidence into the next round of learning. We present NeoHorse-1, a family of agent-native models developed to explore this path through agentic post-training. Our sys…
OpenAI API Changelog 2026-09-08
Feature gpt-image-2.5-sunburst gpt-image-2.5-flare v1/images v1/responses Released GPT Image 2.5 Sunburst and GPT Image 2.5 Flare for image generation and editing through the Image API and the Responses API image generation tool. Use Sunburst for workflows where editing precision matters most, or Fl…
1PasswordがCodexで技術スタッフの生産性を21%向上
Engineers at 1Password use Codex to rapidly build new features and internal tools, reaching production-readiness while maintaining rigorous security policies.
OpenAIがジャーナリズム支援の取り組みを拡大、教室からニュース編集部まで
OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations.
継続学習メカニズムの合成による長時間軌道のメモリ化
Language models may need to internalize information that arrives over time and retain it through many subsequent updates. To study this challenge, we introduce long-horizon memorization, a setting in which a model learns 100 query-answer tasks through continual supervised fine-tuning without retaini…