Google Gemini has launched a SynthID detection feature, allowing users to directly ask Gemini "Is this AI-generated?" to determine whether an image, video, or audio was generated by Google's AI. The feature is available to all users and is designed to help users browse online content with greater confidence.
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Google releases the Genie 4 world model, calling it its most realistic and interactive world model to date. The model can control events, camera angles, and actions in dynamic environments in real time, generate native audio that matches the world, and use Gemini's reasoning capabilities to generate more coherent multi-step events. It is currently available as a research preview to trusted testers, and will later be offered to Google AI Ultra subscribers through Project Genie, and to early partners through the Gemini API and AI Studio.
Google releases the Genie 4 world model, calling it its most realistic and interactive world model to date. The model can control events, camera angles, and actions in dynamic environments in real time, generate native audio that matches the world, and use Gemini's reasoning capabilities to generate more coherent multi-step events. It is currently available as a research preview to trusted testers, and will later be offered to Google AI Ultra subscribers through Project Genie, and to early partn
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Google DeepMind has released the Genie 4 world model, which the company calls its most realistic and interactive world model to date. Users can control scenes and soundscapes in real time using natural language, for example by changing the weather, moving the camera, or adding new elements; Gemini acts as the simulation's "brain" behind the scenes, responsible for turning requests into actions, planning complex events, and tracking changes in the scene. Genie 4 also adds ambient sound effects and interactive voice dialogue that can be adjusted in real time.
Google DeepMind has released the Genie 4 world model, which the company calls its most realistic and interactive world model to date. Users can control scenes and soundscapes in real time using natural language, for example by changing the weather, moving the camera, or adding new elements; Gemini acts as the simulation's "brain" behind the scenes, responsible for turning requests into actions, planning complex events, and tracking changes in the scene. Genie 4 also adds ambient sound effects an
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Google DeepMind has released Genie 4, a new-generation general-purpose world model. For the first time in the Genie series, it natively generates ambient sound and improvised character dialogue, doubles the duration of a single coherent world to about 2 minutes, and renders real-machine footage at about 24 frames per second. The model uses Gemini 3.8 Flash to perform multi-step reasoning and control in the background and Gemini 4 Argon to break down action instructions, forming a hybrid world model architecture. It has opened beta applications to Google AI Ultra users and is also available in the Gemini API and Google AI Studio.
Google DeepMind has released Genie 4, a new-generation general-purpose world model. For the first time in the Genie series, it natively generates ambient sound and improvised character dialogue, doubles the duration of a single coherent world to about 2 minutes, and renders real-machine footage at about 24 frames per second. The model uses Gemini 3.8 Flash to perform multi-step reasoning and control in the background and Gemini 4 Argon to break down action instructions, forming a hybrid world mo
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Oracle and Google announced at Oracle AI World that Google TPU will be offered through Oracle Cloud Infrastructure (OCI). Oracle says OCI is the first hyperscale cloud platform outside Google to offer Google TPU, with availability planned within the 2027 calendar year. OCI will handle power, cooling, and data center networking, supporting large model training, post-training (including dense and MoE models), as well as production inference for inference, agent, and long-context scenarios. The two sides also introduced the eighth-generation TPU, with the TPU 8t training version and TPU 8i inference version, among which the TPU 8t delivers nearly 3 times the compute of a single pod compared with the previous generation.
Oracle and Google announced at Oracle AI World that Google TPU will be offered through Oracle Cloud Infrastructure (OCI). Oracle says OCI is the first hyperscale cloud platform outside Google to offer Google TPU, with availability planned within the 2027 calendar year. OCI will handle power, cooling, and data center networking, supporting large model training, post-training (including dense and MoE models), as well as production inference for inference, agent, and long-context scenarios. The two
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Oracle announced plans to offer Google TPU accelerators in its own public cloud; this is the first time Google has supplied chips to another hyperscale cloud provider, with deployment set to begin next year and gradually scale up. Oracle will also deploy Cerebras' wafer-scale accelerators and OpenAI's Jalapeño inference chips, and use OpenAI models to power new cloud services. The two sides are also launching AI Workspace, which lets ChatGPT perform tasks on users' behalf within Oracle applications, along with App Composer, AI Security Mesh, and the Oracle AI SMB Bundle for small businesses.
Oracle announced plans to offer Google TPU accelerators in its own public cloud; this is the first time Google has supplied chips to another hyperscale cloud provider, with deployment set to begin next year and gradually scale up. Oracle will also deploy Cerebras' wafer-scale accelerators and OpenAI's Jalapeño inference chips, and use OpenAI models to power new cloud services. The two sides are also launching AI Workspace, which lets ChatGPT perform tasks on users' behalf within Oracle applicati
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Google previews the Genie 4 world model, which can generate realistic three-dimensional environments based on natural language descriptions and supports editing operations such as changing the weather and adding objects with follow-up prompts. Compared with the previous generation, Genie 4 is better at rendering complex details such as fluid motion, can also generate accompanying audio such as crashing waves, and makes virtual characters move naturally and be controllable through real-time interaction. Internally, the model calls Gemini Omni to ensure visual realism and Gemini 3.8 Flash to maintain inter-frame consistency. It is currently being tested with a small number of early users and will later be offered through the Google AI Ultra subscription, the Gemini API, and Google AI Studio.
Google previews the Genie 4 world model, which can generate realistic three-dimensional environments based on natural language descriptions and supports editing operations such as changing the weather and adding objects with follow-up prompts. Compared with the previous generation, Genie 4 is better at rendering complex details such as fluid motion, can also generate accompanying audio such as crashing waves, and makes virtual characters move naturally and be controllable through real-time inter
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Google DeepMind has released the Genie 4 world model, which can render interactive environments in real time with simulated physics, human motion, and native audio, with Gemini Omni shaping the scenes and Gemini 3.8 Flash planning the next steps. Genie 4 lets developers generate testing environments on demand, for scenarios such as the Apptronik Apollo humanoid robot playing checkers, but Google acknowledges that its physics is not always accurate, and objects may shift or behave abnormally during long runs. Google has not yet published benchmark data for Genie 4 in repeated agent testing, including whether the same prompt can produce consistent results.
Google DeepMind has released the Genie 4 world model, which can render interactive environments in real time with simulated physics, human motion, and native audio, with Gemini Omni shaping the scenes and Gemini 3.8 Flash planning the next steps. Genie 4 lets developers generate testing environments on demand, for scenarios such as the Apptronik Apollo humanoid robot playing checkers, but Google acknowledges that its physics is not always accurate, and objects may shift or behave abnormally duri
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At the Oracle AI World 2026 keynote, Oracle announced that it will bring Google's self-developed AI chip, Google TPU, into Oracle Cloud Infrastructure, and plans to begin offering Google TPU services in 2027. Oracle said it will provide supporting infrastructure such as power, cooling, and intra-data-center networking for large-scale deployments. The article also mentioned that Google Cloud last week open-sourced TorchTPU, which enables native PyTorch support for TPU.
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Google Research proposes the sleep framework, which introduces periodic sleep stages to LLMs to consolidate short-term context into long-term parameters, thereby mitigating catastrophic forgetting and static knowledge cutoff. The framework consists of two stages: memory consolidation and dreaming. The former uses MoE parameter expansion and knowledge seeding based on GKD and reinforcement learning imitation, while the latter achieves self-improvement through random expert activation, filtering synthetic samples, and RL refinement. On BABILong, this method scales nearly perfectly within 10M tokens, and achieves accuracies of 79.2%, 69.0%, and 46.1% on AIME 24/25 and HMMT 25, respectively.
Google Research proposes the sleep framework, which introduces periodic sleep stages to LLMs to consolidate short-term context into long-term parameters, thereby mitigating catastrophic forgetting and static knowledge cutoff. The framework consists of two stages: memory consolidation and dreaming. The former uses MoE parameter expansion and knowledge seeding based on GKD and reinforcement learning imitation, while the latter achieves self-improvement through random expert activation, filtering s
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OpenAI Codex 0.165.0 adds a built-in Google Cloud Vertex AI provider (configured via model_provider = "gcp") and adds GPT-6.1 Terra to the model catalog. This version also enables memory v2 by default and supports importing external agent memory, while allowing reasoning effort to be adjusted during conversations by default. The session selector adds repository filtering, and the agent command center supports grouping by directory.
OpenAI Codex 0.165.0 adds a built-in Google Cloud Vertex AI provider (configured via model provider = "gcp") and adds GPT-6.1 Terra to the model catalog. This version also enables memory v2 by default and supports importing external agent memory, while allowing reasoning effort to be adjusted during conversations by default. The session selector adds repository filtering, and the agent command center supports grouping by directory.
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Google DeepMind has released the world model Genie 4, which can generate interactive worlds in real time and, for the first time, natively generate ambient sound and character dialogue. The model builds on capabilities from the Gemini series; Gemini 3.8 Flash breaks down goals in a loop and checks frames to maintain causal coherence across multi-step events, and Gemini 4 Argon has also been used for joint simulation tasks with Gemini Robotics. The company says it remains an early experimental model: over long runs, object permanence and complex physical interactions still drift, all generated content carries a SynthID watermark, and it is currently available in preview to trusted testers first.
Google DeepMind has released the world model Genie 4, which can generate interactive worlds in real time and, for the first time, natively generate ambient sound and character dialogue. The model builds on capabilities from the Gemini series; Gemini 3.8 Flash breaks down goals in a loop and checks frames to maintain causal coherence across multi-step events, and Gemini 4 Argon has also been used for joint simulation tasks with Gemini Robotics. The company says it remains an early experimental mo
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Google has released the preview version of the Connected Apps Platform, where developers can build and manage Connected Apps for Search and Gemini applications on the same platform. Developers complete integration through a cloud-hosted MCP server or Android MCP combined with AppFunctions APIs, then use the Google Connected Console to register, test, and submit, and choose to launch on Search, Gemini, or both; after launch, they can view traffic, latency, and error rates. Google says Search and Gemini already have more than 50 Connected Apps, with integrations from Adobe, Experian, Localiza, and Peloton already live on Gemini and set to arrive in Search in the coming weeks, while Calm's integration will also launch on both.
Google has released the preview version of the Connected Apps Platform, where developers can build and manage Connected Apps for Search and Gemini applications on the same platform. Developers complete integration through a cloud-hosted MCP server or Android MCP combined with AppFunctions APIs, then use the Google Connected Console to register, test, and submit, and choose to launch on Search, Gemini, or both; after launch, they can view traffic, latency, and error rates. Google says Search and
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Google and XREAL have launched the XREAL AURA, the first wired XR glasses powered by Android XR. Orders open today in the United States, Canada, and South Korea, with sales in Japan starting November 2, at a starting price of $1,099. The glasses weigh less than 95 grams, use transparent lenses and a 70-degree field of view to project apps into the user's field of view, and offload heavy computing to a portable computing puck connected by cable; the puck is powered by the debut Qualcomm Snapdragon Reality Elite platform. Users can open multiple apps at once and pair them with a Bluetooth keyboard and mouse, or connect a laptop screen as a window via USB-C wired mirroring, and Gemini can provide assistance based on the content in the field of view and on the screen.
Google and XREAL have launched the XREAL AURA, the first wired XR glasses powered by Android XR. Orders open today in the United States, Canada, and South Korea, with sales in Japan starting November 2, at a starting price of $1,099. The glasses weigh less than 95 grams, use transparent lenses and a 70-degree field of view to project apps into the user's field of view, and offload heavy computing to a portable computing puck connected by cable; the puck is powered by the debut Qualcomm Snapdrago
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Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will first be opened to some cybersecurity defenders, then gradually expanded through the Fairwind Program, and only afterward made available to developers, enterprises, and consumers; after the introductory period, pricing will be $4 per 1M input tokens and $20 per 1M output tokens.
Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will f
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The Google Developers Blog showcased HappyDelivery, a multi-agent conversational commerce prototype built on LangGraph, Gemini, FastAPI, and Google Cloud, which implements the previously proposed three-layer decoupled architecture of Ingress, Memory, and Cognition. The prototype abstracts channels such as WhatsApp, RCS, Apple Messages for Business, and SMS using platform-specific signature verification and a unified message schema; in testing, the Ingress layer returned HTTP 200 in approximately 295–302ms and forwarded requests to Pub/Sub. The article also provides code examples for the state machine, deterministic financial tools, and an automated validation suite.
The Google Developers Blog showcased HappyDelivery, a multi-agent conversational commerce prototype built on LangGraph, Gemini, FastAPI, and Google Cloud, which implements the previously proposed three-layer decoupled architecture of Ingress, Memory, and Cognition. The prototype abstracts channels such as WhatsApp, RCS, Apple Messages for Business, and SMS using platform-specific signature verification and a unified message schema; in testing, the Ingress layer returned HTTP 200 in approximately
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Google A2UI adds swappable inference formats, among which A2UI Express, as the new default format, can reduce latency by up to 3x and cut the tokens needed to generate comparable UIs by up to 3x; when combined with decision models such as Jev for layout decisions, latency reductions can reach up to 80x. Express is now available in the Python agent SDK (a2ui-agent-sdk 0.9.0), the TypeScript SDK (@a2ui/agent), and the Dart SDK (a2ui_agent 0.0.1-wip004); developers can switch formats with a single parameter when creating a generator.
Google A2UI adds swappable inference formats, among which A2UI Express, as the new default format, can reduce latency by up to 3x and cut the tokens needed to generate comparable UIs by up to 3x; when combined with decision models such as Jev for layout decisions, latency reductions can reach up to 80x. Express is now available in the Python agent SDK (a2ui-agent-sdk 0.9.0), the TypeScript SDK (@a2ui/agent), and the Dart SDK (a2ui agent 0.0.1-wip004); developers can switch formats with a single
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Based on a recent webinar with Google Cloud, Anthropic presents a three-lever framework—control, track, prove—for managing Claude Code costs on Google Cloud and measuring return on investment. The Claude apps gateway supports setting daily/weekly/monthly spending limits by user, IdP group, or organization, alerts within the CLI when usage reaches 75% and 95%, and returns 429 once the cap is hit. On the Google Cloud side, native capabilities include per-project billing, budget alerts, Spend caps (preview), BigQuery export, and quotas.
Based on a recent webinar with Google Cloud, Anthropic presents a three-lever framework—control, track, prove—for managing Claude Code costs on Google Cloud and measuring return on investment. The Claude apps gateway supports setting daily/weekly/monthly spending limits by user, IdP group, or organization, alerts within the CLI when usage reaches 75% and 95%, and returns 429 once the cap is hit. On the Google Cloud side, native capabilities include per-project billing, budget alerts, Spend caps
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Google has released its latest model, Gemini 4 Argon, saying it is aimed at complex real-world tasks and can perform reasoning, coding, and coordinate tools. The company provided 8 examples, including writing 5,000 lines of mathematical code from scratch with zero source material to render a 3D sunlit library, and, in Antigravity, processing more than 80,000 raw files from a NASA Mars mission and generating executive briefing slides.
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Google DeepMind releases the world model Genie 4, focused on real-time interactive simulation and introducing native audio for the first time in the series. The model is built on capabilities from the Gemini family: Gemini Omni is responsible for making simulations match the appearance and behavior of the real world, while other Gemini models provide the complex reasoning needed to maintain simulation coherence. Users can control scenes in real time using natural language, such as moving the camera, changing the weather, or introducing new characters, and each world also generates ambient sound, music, and interactive dialogue on the fly.
Google DeepMind releases the world model Genie 4, focused on real-time interactive simulation and introducing native audio for the first time in the series. The model is built on capabilities from the Gemini family: Gemini Omni is responsible for making simulations match the appearance and behavior of the real world, while other Gemini models provide the complex reasoning needed to maintain simulation coherence. Users can control scenes in real time using natural language, such as moving the cam
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