NAll news

Wednesday44 items

  1. AYi AI NotesModel releases
    AI score77

    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.

    English text is being prepared.

    Same story · 28 reports

    #Model releases#Multimodal#Embodied AI

  2. Rohan PaulModel releases
    AI score65

    SoMark Open-Sources 1.3B Document Parsing Model OXR-1.0

    SoMark has open-sourced OXR-1.0, a 1.3B-parameter document parsing model that converts PDFs and page images into Markdown or JSON. The weights have been released on Hugging Face, and lightweight testing can run on a single 24GB GPU. The model ranks first on olmOCR-Bench, OmniDocBench, and DocParsingBench, achieves a decoding speed of 558 tokens/s on a single NVIDIA RTX PRO 6000 GPU, and parses 100 pages end-to-end in about 101 seconds. Its post-training stage employs a recursive self-improvement (RSI) loop, in which a general-purpose VLM judges parsing results and generates newly annotated pages, eliminating the need for manual annotation.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#Hugging Face

  3. Rohan PaulModel releases
    AI score67

    Liquid AI Releases the LFM3 Open-Source Model Family: 1.7B Text Model Surpasses Its 2.6B Predecessor

    Liquid AI has released the LFM3 open-weight model family, comprising 6 model instances and covering text, audio, vision, and omni modalities. Among them, the LFM3-1.7B text model outperforms its 2.6B predecessor in effectiveness, employing a 24-layer tri-hybrid architecture, with 13 layers using short convolutions, 5 layers using 256-token sliding-window attention, and 6 layers performing global attention. In Liquid's self-tested agent benchmarks, this model scores 41.29 on AutomationBench, compared with 15.10 for Qwen3.5-9B.

    Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵

    Same story · 4 reports

    #Model releases#Open-source ecosystem#Agents

  4. Demis HassabisModel releases
    AI score62

    DeepMind Releases Interactive World Model Genie 4

    Demis Hassabis shared Google DeepMind's interactive world model Genie 4, saying it integrates real-time physics, reasoning, and audio capabilities. The official Google DeepMind account called it its most realistic and interactive world model to date, allowing real-time exploration of dynamic environments and observation of how scenes respond, produce sound, and how the people within them move, react, and speak. Hassabis also mentioned simulations nested within simulations.

    This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.

    Same story · 28 reports

    #Model releases#Multimodal#Google

  5. Sundar PichaiModel releases
    AI score67

    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.

    Same story · 28 reports

    #Model releases#Multimodal#Google

  6. Google AIModel releases
    AI score71

    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.

    Same story · 28 reports

    #Model releases#Multimodal#Google

  7. Artificial AnalysisModel releases
    AI score62

    Microsoft MAI-Image-2.7-Preview ranks second on AA-Image-Editing v2.1

    Microsoft AI has released the image editing model MAI-Image-2.7-Preview, which ranks second on Artificial Analysis's AA-Image-Editing v2.1 leaderboard, behind only OpenAI's GPT Image 2.5 Sunburst (max). The model outperforms MAI-Image-2.6 on all 7 evaluated editing actions, with the largest improvement in composition and framing (+57 Elo), followed by text or symbol editing +49 and scene and style editing +48, and it ranks first in 4 categories: scene and style editing, text or symbol editing, reasoning-based editing, and enhancement and restoration. The model currently offers image editing only in the MAI Playground, with text-to-image functionality said to be coming soon.

    Same story · 7 reports

    #Evaluations / benchmarks#Image generation#Microsoft

  8. Artificial AnalysisModel releases
    AI score64

    Ant's Ling 3.1 Flash 1019 Open-Sourced, Intelligence Index Rises to 44

    Ant Group's AntLingAGI has released Ling 3.1 Flash 1019, an updated version of Ling 3.1 Flash, scoring 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 for the previous generation. The model is a reasoning model with 560B total parameters and 25B activated parameters, supports a 1M token context window, is released under the MIT license, is available as open weights on Hugging Face, and can be accessed via InclusionAI's first-party API. In terms of agentic capabilities, AA-Briefcase v1.1's Elo rose from 1397 to 1521, GDPval-AA v2.1 rose from 1617 to 1653, and AutomationBench-AA rose from 62% to 68%; Humanity's Last Exam rose from 39% to 43%, and CritPt rose from 18% to 26%. Output tokens per task increased to 145k, up from 103k for the previous generation, with a cost of $1.49 per task and pricing of $0.30 per 1M input tokens and $0.90 per 1M output tokens.

    Same story · 3 reports

    #Model releases#Reasoning#Open-source ecosystem

  9. OpenBMBModel releases
    AI score62

    OpenBMB Open-Sources MiniCPM-OCR Suite, Featuring a 1B Parsing Model and a 2B Verification Model

    OpenBMB has released the open-source MiniCPM-OCR suite, comprising the 1B MiniCPM-OCR 1.0 and the 2B decision model MiniCPM-OCR Jev. MiniCPM-OCR 1.0 scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2; Jev can perform cross-model verification of text, formulas, and tables, scoring 93.6 on JevOCRBench, surpassing JEV-35B-A3B's 90.1 and approaching Qwen3.5-397B-A17B's 93.8. Powered by DSpark, its speed is 1.49 times that of PaddleOCR-VL-1.6 and 3.62 times that of MinerU2.5 Pro; with SDK concurrency optimization, it can reach 128 pages per minute, and it supports deployment on vLLM, SGLang, llama.cpp, and Ollama.

    Same story · 3 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  10. 36Kr · AIModel releases
    AI score83

    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.

    Same story · 28 reports

    #Model releases#Multimodal#Video

  11. ZhidongxiModel releases
    AI score86

    OpenAI Releases GPT-6.1 Terra Model, API Price 50% Lower Than Previous Generation

    OpenAI has launched a new model, GPT-6.1 Terra, focused on visual reasoning, computer operation, and writing capabilities. Its standard API price is $1 per million input tokens and $5 per million output tokens, 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. At medium reasoning effort on Agents' Last Exam, its computer operation score is 15 percentage points higher than GPT-5.6 Terra, performing on par with GPT-6 Astra, while its price per token is only one-tenth of the latter's. The model is now available to Plus, Pro, Enterprise, and Edu users of ChatGPT Work and Codex, and its factual error rate drops to 4.3% at the highest reasoning effort.

    Same story · 32 reports

    #Model releases#OpenAI#Reasoning

  12. Unite.AIModel releases
    AI score73

    Liquid AI Releases Six 2B-Class Open-Weight Models in the LFM3 Series

    On October 27, Liquid AI released the LFM3 series. All six 2B-parameter-class open-weight models branch from the same LFM3-1.7B-Base, covering text, vision, audio, omni-modal, and decision models. LFM3-1.7B has 1.73B parameters, a 256K token context, supports 16 languages, and adopts a Tri-Hybrid architecture with 13 layers of gated short convolutions, 5 layers of sliding-window attention, and 6 layers of global attention. It is available under the LFM Open License v1.0 on Hugging Face, the Liquid AI Playground, and via API. The company claims that LFM3-1.7B surpasses LFM2.5-2.6B with 35% fewer parameters and occupies about 1 GB of memory at 4-bit precision, but the model card states that it is not suitable for agentic coding or complex multi-step reasoning.

    Same story · 4 reports

    #Model releases#Open-source ecosystem#Multimodal

  13. SiliconANGLEModel releases
    AI score74

    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.

    Same story · 28 reports

    #Model releases#Multimodal#Google

  14. The New StackModel releases
    AI score70

    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.

    Same story · 28 reports

    #Model releases#Multimodal#Agents

  15. The DecoderModel releases
    AI score72

    Google DeepMind releases Genie 4 world model, capable of generating interactive scenes with sound in real time

    Google DeepMind launches Genie 4, the successor to Genie 3. It is its first real-time world model capable of directly generating sound, computing scenes frame by frame and responding to users' keyboard operations and text prompts. Gemini models handle planning in the background; for example, Gemini 3.8 Flash continuously observes the screen, breaks goals into steps, and checks the result of each step. DeepMind is also testing the use of Gemini 4 Argon to combine Genie with its robotics research Gemini Robotics; in a demo, it simulated the Apptronik humanoid robot Apollo playing chess. DeepMind says the model is still an early experimental version: visual details drift over long simulations, objects do not necessarily persist, and it is currently limited to select testers. All videos and audio tracks will carry a SynthID watermark.

    Same story · 28 reports

    #Model releases#Multimodal#Video

  16. English text is being prepared.Model releases
    AI score74

    Google DeepMind launches world model Genie 4, achieving synchronized audio-video generation for the first time

    Google DeepMind launched the world model Genie 4 on Tuesday. Currently in research preview, it can generate interactive virtual worlds and modify scenes by entering prompts during simulation runs. The model can generate real-time audio synchronized with the virtual world, covering music, ambient sound, and interactive dialogue, and scenes can remain coherent for up to two minutes—twice as long as the previous generation, Genie 3. Genie 4 will be gradually opened to Google AI Ultra subscribers, the Genie program, and early partners of the Gemini API and Google AI Studio. The team also acknowledges that the longer the simulation runs, the more easily details drift, and that audio accuracy and on-screen text clarity remain unresolved.

    Same story · 28 reports

    #Model releases#Multimodal#Video

  17. IT Home · Artificial IntelligenceModel releases
    AI score80

    Google DeepMind releases the Genie 4 world model, supporting real-time natural language modification

    Google DeepMind has released the Genie 4 world model, positioned as a major research milestone, allowing users to use natural language instructions to change weather, camera, and characters in real time. It is DeepMind's first model to natively generate audio within real-time world simulation, with audio and visuals produced synchronously, and it shows stronger performance in physical scenarios such as aerodynamics and collisions as well as in character movements. Genie 4 is currently available only as a research preview to trusted testers, and in the coming weeks will expand to Project Genie for Google AI Ultra subscribers as well as early partners of the Gemini API and Google AI Studio; engineer Diego Rivas acknowledged that long-duration simulations may show detail drift, and that audio accuracy and the readability of in-frame text have not yet been fully resolved.

    Same story · 28 reports

    #Model releases#Multimodal#Video

  18. Microsoft AI BlogFirst-partyModel releases
    AI score67

    Microsoft Releases Image Editing Model MAI Image 2.7, Ranked 3rd on Arena Edit

    Microsoft AI has released the image editing model MAI Image 2.7, launched in preview form, ranking 3rd on Arena Edit and 2nd on the Artificial Analysis image editing leaderboard, making Microsoft AI the 2nd-ranked lab. The company states that the model outperforms 2.6 on all 10 use cases and 7 categories of editing actions evaluated by Artificial Analysis, leading the next-best model by 24 Elo in scenes and styles. It is currently available for trial on Arena, Artificial Analysis, and MAI Playground, with text-to-image functionality coming soon.

    Blurry, light-colored flowers against a blue sky.

    Same story · 7 reports

    #Model releases#Image generation#Microsoft

  19. Hugging FaceFirst-partyModel releases
    AI score83

    Liquid AI Releases the LFM3 Series of Models, Including 1.7B Text, Vision, Audio, and Omni Versions

    Liquid AI has released the LFM3 series of open-weight models, all branched from LFM3-1.7B-Base, covering text, vision, audio, Omni, and the d1 decision model. LFM3-1.7B-Base adopts a three-hybrid-layer architecture, is pretrained on 22T tokens, and in the mid-training stage over the final 3.5T tokens incorporates more agent trajectories and tool-calling data, with the context window extended to 256K tokens. The company says LFM3-1.7B is about 25% faster than LFM2-1.2B at an 8K context, and scores 38.42 versus 3.02 on WebArena-Verified; LFM3-VL-2B's average score across 62 vision benchmarks rises from 57.6 to 71.4. All models are available for download on Hugging Face, along with a single-GPU fine-tuning notebook.

    Same story · 4 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  20. WallstreetcnModel releases
    AI score79

    Google Launches World Model Genie 4, Doubling Simulation Duration to 2 Minutes and Achieving Synchronized Audio-Video Generation for the First Time

    Google has released its new-generation world model Genie 4, which extends the maximum simulation duration to about 2 minutes, twice that of Genie 3, and for the first time achieves synchronized audio-video generation. Users can use natural language to change the environment, control the camera, and add characters in real time. The model is currently available as a research preview to a small number of screened testers, will be opened to Google AI Ultra subscribers in the coming weeks, and will gradually provide early access to some developers via the Gemini API and Google AI Studio. Google says Gemini is responsible for providing reasoning and planning for the simulated world, while the actual real-time interactive operation runs on the lighter Gemini 3.8 Flash, and all generated audio and video are embedded with SynthID watermarks.

    Same story · 28 reports

    #Model releases#Multimodal#Video