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Wednesday

  1. Ayi AI Notes

    Google DeepMind Releases World Model Genie 4

    Google DeepMind has released the world model Genie 4, which supports real-time text-based scene modification, native ambient sound, and interactive dialogue, with Gemini 3.8 Flash serving as the real-time director in the background. The author says it no longer pre-renders video, but instead simulates physical collisions in real time and dynamically loads scenes as the player acts. Currently, the limit for a single simulation is about two minutes; over time, details will drift, and it is only a research preview available to a small number of testers.

    Google DeepMind has released the world model Genie 4, which supports real-time text-based scene modification, native ambient sound, and interactive dialogue, with Gemini 3.8 Flash serving as the real-time director in the background. The author says it no longer pre-renders video, but instead simulates physical collisions in real time and dynamically loads scenes as the player acts. Currently, the limit for a single simulation is about two minutes; over time, details will drift, and it is only a

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  2. AYi AI Notes

    Google DeepMind releases the world model Genie 4, supporting real-time text-based scene changes and native ambient sound

    Google DeepMind has officially released the world model Genie 4, which supports real-time text-based scene changes, comes with native ambient sound and interactive dialogue, and has Gemini 3.8 Flash serving as the behind-the-scenes director. Unlike pre-rendered video models, Genie 4 simulates physical collisions in real time as the player acts within the scene, and a single simulation can remain continuously stable for about two minutes. The author believes its real purpose is to provide a low-cost physical training ground for embodied agents, but it is currently still a research preview available to only a few testers, and details drift over time.

    Google DeepMind has officially released the world model Genie 4, which supports real-time text-based scene changes, comes with native ambient sound and interactive dialogue, and has Gemini 3.8 Flash serving as the behind-the-scenes director. Unlike pre-rendered video models, Genie 4 simulates physical collisions in real time as the player acts within the scene, and a single simulation can remain continuously stable for about two minutes. The author believes its real purpose is to provide a low-c

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  3. Philipp SchmidSelected

    Google Releases Genie 4, a Real-Time Multimodal World Model

    Google has released Genie 4, adding native audio, movable and talking characters, more refined physics, and real-time prompt editing. Genie is a real-time multimodal world model that can render playable environments frame by frame based on keyboard operations and text prompts. A waitlist is currently open, with priority for Google AI Ultra users.

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  4. Rohan Paul

    Google TPUs will run on a hyperscale cloud outside Google for the first time, with Oracle deploying starting in 2027

    Google's TPUs will run on a hyperscale cloud outside Google for the first time, with Oracle deploying capacity starting in calendar year 2027 and gradually expanding over several years. Oracle provides power, cooling, and data center networking; its Acceleron network connects TPU clusters to Oracle's databases and storage, letting enterprises fine-tune and deploy models next to their data without cross-cloud transfers. Google says the eighth-generation TPU delivers up to 12.6 PFLOPS of FP4 compute per chip, achieves over 97% effective cluster uptime during large-scale training, and improves performance per dollar by up to 80% for low-latency serving; its open-source TorchTPU stack lets existing PyTorch code and tools such as vLLM and SGLang run on TPUs without rewriting models.

    Google's TPUs will run on a hyperscale cloud outside Google for the first time, with Oracle deploying capacity starting in calendar year 2027 and gradually expanding over several years. Oracle provides power, cooling, and data center networking; its Acceleron network connects TPU clusters to Oracle's databases and storage, letting enterprises fine-tune and deploy models next to their data without cross-cloud transfers. Google says the eighth-generation TPU delivers up to 12.6 PFLOPS of FP4 compu

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  5. Sundar Pichai

    Google Releases Genie 4 World Model, Supporting Real-Time Control and Native Audio

    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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  6. Google AI

    Google DeepMind Releases Genie 4 World Model

    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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  7. 36Kr · AISelected

    Google DeepMind releases the world model Genie 4, natively generating sound and dialogue for the first time

    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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  8. Unite.AI

    Oracle Cloud Infrastructure to Offer Google TPU, Planned for Launch in 2027

    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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  9. SiliconANGLE

    Oracle Cloud to deploy Google TPUs and integrate ChatGPT and OpenAI models

    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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  10. SiliconANGLE

    Google previews Genie 4 world model, which can generate 3D environments with audio

    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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  11. The New Stack

    Google DeepMind releases the Genie 4 world model, providing AI agents with an interactive testing environment

    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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  12. Publickey

    Oracle Cloud announces the introduction of Google TPU, with services to begin in 2027

    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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  13. Google ResearchSelected

    Google Research proposes the sleep framework, enabling LLMs to retain knowledge during continual learning

    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.

    A flowing stream of glowing blue geometric shapes consolidates into a bright, interconnected neural network sphere.

    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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  14. Codex:GitHub Releases

    OpenAI Codex 0.165.0 Released: Adds Google Cloud Vertex AI Provider and…

    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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Tuesday

  1. Google Developers Blog

    Google builds a multi-agent conversational commerce prototype on GCP with LangGraph and Gemini…

    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.

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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

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  2. Google Developers Blog

    Google A2UI Introduces Swappable Inference Formats, Express Cuts Latency by Up to 3x

    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.

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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

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  3. Claude Blog

    How to manage Claude Code costs on Google Cloud and prove ROI

    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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  4. Google Blog

    Google Releases Gemini 4 Argon, Showcasing Ability to Handle 8 Categories of Complex Tasks

    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.

    Collage of various uses of Gemini 4 Argon

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