NAll news

All news

Saturday3 items

  1. Aravind SrinivasModel releases
    AI score55

    Perplexity CEO Shares Early Evaluation of Gemini 4 Carbon: WANDR Benchmark Sets New SoTA

    Perplexity CEO Aravind Srinivas shares an early evaluation of Gemini 4 Carbon, calling it the strongest model to date in long-form research and answer quality, and noting that it achieves a new SoTA on the Wide-And-Deep-Research (WANDR) benchmark. The model will be made available to all Perplexity Pro and Max users once token capacity is sufficient, integrated into Computer.

    #Evaluations / benchmarks#Reasoning#Google

  2. SiliconANGLEModel releases
    AI score55

    Krafton's Ludo Robotics Releases Robot Intelligence Model Ludi 0.2

    Krafton subsidiary Ludo Robotics has released the robot AI system Ludi 0.2, which builds on Ludi 0.1 launched in August with enhanced social intelligence, memory and reasoning, tool coordination, gesture interpretation, and physical mobility capabilities. The system combines the reasoning and dialogue capabilities of vision-language models with navigation and manipulation abilities, with the goal of enabling robots to understand human intent, respond to feedback, and adapt to changing situations. The company says it is advancing toward a final version that integrates perception, dialogue, and physical actions into a single "brain."

    #Model releases#Embodied AI#Multimodal

  3. OpenAI: Deployment Safety and System CardFirst-partyModel releases
    AI score72

    OpenAI releases the GPT-Rosalind-6 system card addendum, offering restricted access for biological research

    OpenAI releases the GPT-Rosalind-6 system card addendum. This model uses the same set of weights as GPT-6 Astra, with no new training data or post-training added, and is provided only through trusted access to vetted research institutions, enterprises, and government partners. At the highest reasoning budget, MedChemBench v7 averages 49.6% (GPT-Rosalind-5.5: 28.9%), GeneBench Pro v13 single-attempt success rate is 37.7% (previous generation: 16.7%), and LifeSciBench Gold average score is 61.3% (previous generation: 44.0%). Under the Preparedness Framework, this release is rated High capability in the biological and chemical domains, below the Critical threshold; rated Critical in the cybersecurity domain; and below High in AI self-improvement.

    #Safety / alignment#OpenAI#English text is being prepared.

Friday77 items

  1. English text is being prepared.Model releases
    AI score72

    Xiaomi open-sources the 0.8B-parameter OCR model Xiaomi-OCR-0, supporting Markdown and JSON output

    Xiaomi has open-sourced the lightweight document understanding model Xiaomi-OCR-0, with a parameter scale of 0.8B; its weights and inference code are now available on Hugging Face and GitHub. The model is built on Qwen3.5-0.8B-Base and trained on approximately 170 million OCR and document understanding samples. A single model covers three types of tasks: document parsing, key information extraction, and OCR visual question answering, and it natively supports Markdown, LaTeX, and JSON output. Official evaluations show that it scores 96.83 on OmniDocBench v1.6, ranking second on the overall leaderboard and first among models with fewer than 1B parameters. It also provides a browser Demo, an MCP service, and an Agent Skill toolkit.

    #Model releases#Open-source ecosystem#Multimodal

  2. SenseTimeModel releases
    AI score63

    SenseTime Open-Sources the SenseNova Loop-9B-Preview Model

    SenseTime has open-sourced SenseNova Loop-9B-Preview, a 9B Looped Transformer that improves information flow and reasoning capabilities through parameter-sharing loops and mHC (Manifold-Constrained Hyper-Connections). The company claims it achieves 27B-level performance on complex tasks, surpassing Qwen3.5-27B on WorkBuddy Bench, RaccoonPPT Bench, and AutomationBench; mHC improves the GPQA Diamond score by 4.42 points and TeamBench by 13.34 points. The model is now available on Hugging Face and GitHub, with plans to later expand to larger models and adaptive fast/slow thinking.

    #Model releases#Open-source ecosystem#Reasoning

  3. Cailian PressModel releases
    AI score73

    Mistral Releases Large 4 Open-Weight Model, Focused on Coding and Cyber Defense

    French company Mistral AI has released the Large 4 model (ML4), featuring advanced coding and cyber defense capabilities; enterprises can download the open-weight version and deploy it to run on their own infrastructure. The model has a total of 1.05 trillion parameters, with approximately 52 billion parameters actually activated per task execution, and was trained in a European data center using 3,800 NVIDIA Grace Blackwell GPUs. Mistral claims it is comparable to other leading open models on coding tasks and emphasizes that open source helps prevent frontier AI technology from concentrating in the hands of a few players.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Agents

  4. Shanghai ObserverModel releases
    AI score74

    Zhiyuan Releases Embodied Model GO-3 Preview, Plans Full Open Source by End of 2026

    Zhiyuan has released its new-generation robot embodied model GO-3 Preview, which connects the full pipeline from training and simulation practice to continuous learning after deployment, ranking first in three tests: RoboDojo, RoboTwin, and RoboColiseum, with plans for full open source by the end of 2026. In real convenience store scenario tests, the Elf G2 robot's task success rate was 28.6% on the first day and rose to 85.7% after five days; for the small hook hanging task, the success rate was 17.7 percentage points higher than with traditional training methods.

    Same story · 12 reports

    #Model releases#Embodied AI#Open-source ecosystem

  5. Shanghai ObserverModel releases
    AI score64

    Daxiao Robotics and Nanyang Technological University S-Lab Release World Model Mundo

    Daxiao Robotics, in collaboration with Nanyang Technological University S-Lab, has released Mundo, a world model built for specific environments that can expand 1 to 12 images into explorable, interactive three-dimensional scenes. The model writes physical properties such as object mass and friction into the scene program, with a physics engine computing motion and collisions, and it supports editing objects, properties, and actions with code. Mundo has been used to reconstruct hotel floors and laundry areas, providing simulation environments for robot navigation and manipulation training.

    Same story · 2 reports

    #Model releases#Embodied AI#Multimodal

  6. English text is being prepared.Model releases
    AI score64

    AgiBot Releases GO-3 Preview Embodied Foundation Model, First to Propose the Worken Workload Metric

    AgiBot has released its new-generation embodied foundation model GO-3 Preview, which adopts its self-developed WRAM architecture to integrate task understanding, future state prediction, and action generation into a unified model, and is the first to propose the Worken evaluation framework for measuring a robot's actual work output. AgiBot says the model ranks first overall in three embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. Worken equals the product of the number of active robots, autonomous working hours, and the output efficiency ratio; AgiBot also released the AHA3 hardware platform and Lingqu OS 1.0 at the same time.

    Same story · 12 reports

    #Model releases#Embodied AI#English text is being prepared.

  7. NumeramaModel releases
    AI score66

    Mistral Large 4 weights go live on Hugging Face, coding capability rises to Terminal-Bench 41%

    On October 29, Mistral AI released the open weights of Mistral Large 4 (codename Le Chonk) on Hugging Face; previously, on October 6, only paid API access was offered. The model has 1 trillion total parameters within a 100-billion-scale size, adopts a MoE architecture, and activates 49 billion parameters per token (52 billion including input and output layers), with 128 experts in total and 4 plus 1 shared expert enabled per token. After three weeks of reinforcement learning, its Terminal-Bench 4.0 score rose from 28% to 41%, and it scores 48% on the Artificial Analysis coding index, on par with GLM-5.3 while using an average of 47% fewer tokens per task; API pricing has been reduced to $0.70 per million input tokens and $2.10 per million output tokens, and the new license permits commercial use, but reselling model services requires a separate agreement.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Hugging Face

  8. English text is being prepared.Model releases
    AI score66

    Qwenputer Arrives: Packing the RISC-V CPU Instruction Set into a Model, AI Arithmetic No Longer Relies on External Tools

    Developer Divyansh Agrawal released the experimental model Qwenputer on October 22. Built on Alibaba's Qwen3.5-4B, it implements a 32-bit RISC-V CPU and memory functions inside the model, enabling it to execute programs and perform precise calculations without calling external tools. In tests, large-integer multiplication accuracy rose from 55% to 97.5%, and the long-integer arithmetic benchmark NUPA reached 100%, compared with only 48.6% for the standard version. The cost is that the model size grows to about 18.8GB, each instruction requires generating multiple tokens and thus takes several seconds, and a dedicated driver is needed. The project has been open-sourced on Hugging Face and GitHub.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#Reasoning

  9. IT Home · Artificial IntelligenceModel releases
    AI score56

    Baidu Open-Sources and Releases ERNIE Unlimited OCR 2 Document Parsing Model, Supporting Unlimited Page Counts

    On the 27th of this month, Baidu officially released and open-sourced the ERNIE Unlimited OCR 2 document parsing model, pushing the document parsing limit from dozens of pages to "unlimited," and can parse all 7 works of the entire Harry Potter series, totaling more than 3,600 pages, in a single pass. The model natively supports layout element segmentation and recognition, and has cross-page text merging and table recognition merging capabilities. It scored 84.6 on MPDocBench and 77.1 on MarathonDocBench, achieving end-to-end performance SOTA on both.

    #Model releases#Open-source ecosystem#Multimodal

  10. MarkTechPostModel releases
    AI score58

    Edge0 Releases Audio8-TTS-Realistic: A 0.6B Open-Source Voice Cloning TTS Model

    Edge0 has released the open-weight voice cloning TTS model Audio8-TTS-Realistic, with 601M parameters, supporting 23 languages, with weights and code released under Apache 2.0. The model requires only 1 reference audio clip and its corresponding text for zero-shot voice cloning, and can also directly generate speech when no reference voice is available. Self-reported results show an average error rate of 4.86% on the CV3 nine-language benchmark, lower than Qwen3-TTS-1.7B's 7.73%, but it lags behind 4B-class models on the MiniMax benchmark, with Thai WER reaching 48.57%.

    #Model releases#Speech#Open-source ecosystem

  11. Logan KilpatrickModel releases
    AI score78

    Google Releases Gemini 4 Carbon, Claims SOTA on Cybersecurity and Long-Horizon Tasks

    Google has released Gemini 4 Carbon, claiming it is a major improvement over Argon, which was released two weeks ago. The model achieves SOTA on cybersecurity and long-horizon tasks, ranks No. 1 on Artificial Analysis V5, shows significantly improved usability in areas such as coding, and is more closely aligned.

    Same story · 34 reports

    #Model releases#Google#Evaluations / benchmarks

  12. Garry TanModel releases
    AI score55

    Particle releases its first developer model particle-1, cutting token usage by about 45%

    Suhail announced his new company Particle and its first developer-focused model particle-1, saying the model uses about 45% fewer tokens while maintaining performance, and it is now live. Garry Tan reposted and said Particle will move toward the lowest cost per unit of intelligence.

    Quoted postSuhail · @Suhail

    1/ Excited to announce our new company Particle This is our first step in a series of models focused on developers. With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens. Live now: https://t.co/m5MvOwR9yE https://t.co/qAM7lFUPvG

    Same story · 2 reports

    #English text is being prepared.#Industry news#Model releases

  13. Elon MuskModel releases
    AI score61

    Google Releases Gemini 4 Carbon Frontier Model

    Google released its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and in cybersecurity evaluations it scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. Google stated that it shows significant improvement over Argon on long-horizon tasks and has strengthened frontier safety protections; starting this week it will first be made available to select trusted cybersecurity defenders, with the partner scope to be expanded later through the Fairwind Program.

    Quoted postSundar Pichai · @sundarpichai

    I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!

    #English text is being prepared.#Model releases#Google

  15. Testing CatalogModel releases
    AI score81

    Google releases Gemini 4 Carbon, claims top ranking on Artificial Analysis V5

    Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements in usability and alignment.

    Quoted postLogan Kilpatrick · @OfficialLoganK

    Introducing Gemini 4 Carbon, it's a big jump over Argon which we released just 2 weeks ago. Gemini 4 Carbon is SOTA on cyber, long horizon tasks, ranks #1 on Artificial Analysis V5, significantly improves on usability in domains like coding, and is more aligned. https://t.co/Ikk9YedjCQ

    Same story · 34 reports

    #Model releases#Google#Evaluations / benchmarks

  16. Shao MengModel releases
    AI score74

    Google DeepMind Previews Gemini 4 Carbon, Claiming Leadership in Cybersecurity and Long-Horizon Capabilities

    Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.

    Quoted postGoogle DeepMind · @GoogleDeepMind

    Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.

    Same story · 34 reports

    #Model releases#Safety / alignment#Agents

  17. Rohan PaulModel releases
    AI score66

    10-person team Phonic releases speech model Phonic-1, claims it can query and book in parallel during calls

    The 10-person startup Phonic has released a speech model, Phonic-1, which it says can execute queries and bookings before the caller has finished speaking. The model tops the Artificial Analysis speech-to-speech leaderboard with a score of 87.1, 0.2 points higher than xAI's Grok Voice 3.0, with a customer service task completion rate of 79.9% and a first-audio latency of 0.61 seconds. Phonic says it scored 90.2 on the Cekura call test set, but the public Cekura leaderboard lists Phonic v1 at 68.3%; the company has completed a $27.5 million Series A round led by First Round, bringing total funding to $31.5 million.

    Quoted postMoin Nadeem · @moinnadeem

    Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition. https://t.co/syYLXbQ4lL

    Same story · 2 reports

    #Model releases#Speech#Agents