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rcles Consort Yu in a medium shot from @Image 1, following her water sleeves through the arc. She raises her arm, flicks her wrist, unfurls the sleeves, and half-turns. She then draws the sleeves back, holds the pose, and looks sideways toward the Overlord. 11–20s: The male warrior from @Image 3 enters with an aerial flip. The Overlord takes center stage while the warrior advances and retreats on the opposite side in a combat exchange. Consort Yu stands slightly behind and to the side of the Ove

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s is essential for building high-quality large models. It enables disciplined architecture search, efficient hyperparameter tuning, and, critically, the ability to derive scaling laws that guide decisions for large scale training. Cerebras infrastructure makes it easy to switch between different model and cluster sizes, dramatically simplifying this critical phase. Following this approach and to ensure the most efficient model architecture and training recipe, the team ran a comprehensive suite

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repositories, local files, terminals, and development tools to write features, fix bugs, and run tests. You can access Codex through the desktop app, CLI, and supported IDEs. For AWS development, the Agent Toolkit for AWS connects Codex to AWS documentation, APIs, and services through a single terminal command. Turn information into action across documents and tools The same reasoning capabilities apply when agents must interpret complex documents, select the appropriate tools, and adapt as con

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et 5で再試行する。対象は、サイバー攻撃につながる要求などを示すcyberか、競合AIモデルの開発支援に関わるfrontier llmとして拒否された要求に限られる。 APIの提供先と⁠、Sonnet 5からの移行時の注意点 Sonnet 5.5は提供を開始しており、Claude API、Amazon Bedrock、Claude Platform on AWS、Google Cloud、Microsoft Foundryで利用できる。Microsoft Foundryでの提供は、モデルの配置方式のうち「Global Standard」に限られる。Claude APIでのモデルIDはclaude-sonnet-5-5となる。 APIでSonnet 5から移行する場合には、モデルIDの変更に加えて、既存の設定も確認する必要がある。移行ガイドによると、思考を無効にする従来のthinking.type: "disabled"はSonnet 5.5ではエラーになる。処理開始時の思考を省き、ツール呼び出しの間だけ思考させるには、between toolsを使う。この場合、エフォートはLow、M

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工作，Cyber Verification Program 将很快扩展以纳入 Sonnet 5.5。 可用性 Claude Sonnet 5.5 即日起在以下平台可用。在开发者平台上，请使用以下模型 ID： Claude API，为 claude-sonnet-5-5；Amazon Bedrock，为 anthropic.claude-sonnet-5-5；AWS 上的 Claude Platform，为 claude-sonnet-5-5；Google Cloud，为 claude-sonnet-5-5；Microsoft Foundry，为 claude-sonnet-5-5，仅限 Global Standard 部署 在 Claude Code 中 从 Claude Code v2.1.284（Agent SDK for TypeScript v0.3.284 或更高版本）起，sonnet 别名在 Claude API 上解析为 Sonnet 5.5。它默认以 medium effort 运行，原生支持 1M 上下文窗口。在 Claude Code 中你无法关闭 Sonnet 5

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do this Tell Codex to test the app in the simulator. When it opens, prompt: “Scan for App Store readiness, list what’s missing, then fix it and package it for Xcode” The Rundown: AWS re:Invent returns to Las Vegas, Nov. 30 to Dec. 4, with 2,200+ sessions and 70% hands-on, giving builders the option to design a week that matches how you work. Stack workshops, code talks, and builders’ sessions back to back, or leave room to go deep on one track. While onsite, you can: Map a personalized agenda a

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d reports scaling up to 100 parallel agents in Section 8.12. @scaling01 called it the first lab report of its kind. @maksym andr highlighted it as evidence on multi-agent scaling laws. ProgramBench caveats. ProgramBench author @OfirPress flagged that Anthropic’s near‑100% solve rate comes from a 166/200 subset. That subset likely excludes the hardest programs, such as FFmpeg and the PHP compiler. He also flagged a metric mismatch ( @OfirPress , @OfirPress ): Anthropic reports average test pass r

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k that gap even further to 186 on the same day. Sen. Bernie Sanders teamed up with Rep. Greg Casar on a new bill to outlaw superintelligent AI outright, with penalties modeled on laws for nuclear weapons. Mira Murati’s Thinking Machines Labs is reportedly in talks for a new funding round that would value the company at $40B, according to The Information. Widespread outages occurred on Thursday across the major AI providers, with OpenAI, Anthropic, xAI, and Google all facing stability issues thro

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ludes a scene description covering the environment, its layout, materials, lighting and ambient sound; the subjects that can participate in events, with their attributes; and the laws, reusable conventions that govern behavior, from gravity and collision to character abilities and the camera perspective; A first frame to ground the generation visually; A timestamped event stream: Actions that describe movement, gestures, object interactions, speech and sound. Each action is a free-form text prom

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Build your AI strategy on ground truth, not gut feel See what's actually happening in your org . Image source: Court Listener The Rundown: Apple filed new evidence in its OpenAI lawsuit, claiming a former iPhone engineer used stolen Apple designs in his OAI work and tried to wipe the evidence — with OAI calling the whole case a “mess of Apple’s making.” The details: Engineer Chang Liu’s lawyers handed over his Apple-issued MacBook this month following “weeks of delay”, with a Mac Mini still wai

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to wait for the full reveal, but if it's small enough to run locally — near-frontier coding on your own machine, off the cloud — it'll definitely break the internet. The Rundown : AWS Marketplace just released a free book featuring 15 chapters from senior data and AI leaders at JPMorgan Chase, Siemens, Mercedes-Benz, Roche, and more — each sharing practical advice on building the data infrastructure needed for agentic analytics and intelligent agents. Chapters cover topics including: Evolving da

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anslates complex ASL into fluent English. Occasional errors remain in rare signs, rapid fingerspelling ("prey" → "grey"), passive constructions, classifier depictions (dropping "claws"), and tense without context ("kicked off" → "start"). We believe in building with the Deaf community, not just for it. Deaf perspectives have shaped every stage of this project — from conceptualization by Sam Sepah, a Deaf Googler, to data collection with Deaf partners, evaluation in Deaf user studies, and impact

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broader range of AI hardware, and make it easier for users to build their own customized versions, we plan to open up the model weights in the coming days, subject to applicable laws and regulations. Hardware compatibility has been a key consideration since the earliest stages of H3's design. Multimodal context understanding Real creative work requires blending complex information across modalities, pulling in images, audio, video, and more as input sources. For example, the prompt for the shot

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on in the process. Images capture spatial structures and relationships at a specific point in time. Videos restore the dimension of time and reveal temporal dynamics and physical laws. Audio reveals causal relationships between mechanical phenomena and acoustics that vision alone cannot detect. Language links these perceptions to goals, abstractions, and instructions. Learn from one and you get a good model of that projection. Learn from all of them at once and their mutual constraints tell you

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o bringing CodeMender's foundational capabilities directly to customers with generally available Gemini models through the Gemini Enterprise Agent Platform . Finding deep-seated flaws requires exploring an immense execution search space. Relying on a single, expensive call to a massive language model can create a bottleneck. 3.5 Flash Cyber is particularly suitable for finding vulnerabilities where the agent has to scan a large codebase and analyze a large number of codepaths. CodeMender invokes

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with lifelike, micro-level depiction. Deep Knowledge : Supports native rendering of 12 languages, simulates mainstream interfaces such as web pages, games, and livestreams, and draws on rich world knowledge. In a word, Qwen-Image-3.0 is not just pursuing “good-looking” — it is pursuing “useful” , making image generation a truly deployable productivity tool. Rich Content Let’s start with the image below, generated by Qwen-Image-3.0: As you can see, Qwen-Image-3.0 can accurately render a math sli

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e follows one principle: CPT injects, SFT activates, RL sharpens. Stage 1: Continual Pre-Training (CPT) injects environment knowledge through non-thinking trajectories. The data draws from dedicated agent infrastructure (containerized execution sandboxes, MCP servers, Android/web/OS emulators), open environment interaction traces, and in-house agentic trajectories. Beyond environment data, we incorporate specialized-domain world knowledge corpora spanning industrial control, cybersecurity, law,

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otManip , and Qwen-RobotWorld — each aligning language with a different domain of physical action. We pursue generalization across language instructions and adherence to physical laws, and have achieved significant progress on both fronts. In this post, we also explore the potential of these models as low-level tools for building general-purpose agentic systems. Qwen-RobotNav : The Gateway to Mobility for Physical Agents — bridges the vision-language representation space into mobility actions th

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evaluation that we call ZTTS1-Eval. Throughout the evaluation process, it became clear that existing and widely-used TTS evals namely Seed-TTS-Eval and CV3-Eval have significant flaws. Seed-TTS-Eval has three main problems. First, only Chinese and English are considered, which lacks linguistic diversity. Second, they rely on outdated models such as Whisper-Large for ASR. Thirdly, they only draw from Common Voice for English and DiDiSpeech for Chinese, both of which are read speech (with minimal

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’ll see three more orders of magnitude of compute applied to frontier models. Intelligence is now a function of compute. Log linear hill-climbing has become the norm. The scaling laws are holding. These are truly extraordinary times. In this context we at MAI are building towards what we call Humanist Superintelligence. State of the art AI capabilities that are explicitly designed to serve people and organizations, and not to replace them. Because the type of AI we build really matters. We need

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