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Friday77 items

  1. 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 · 4 reports

    #Model releases#Embodied AI#Multimodal

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  11. 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

  12. 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

  13. 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

  14. Testing CatalogModel releases
    AI score77

    NVIDIA Releases Nemotron 3.5 Transcribe Open-Weight Speech Model

    NVIDIA has released Nemotron 3.5 Transcribe, an open-weight 30B MoE model with approximately 4B active parameters. The model supports transcription in 40 languages, speaker attribution, translation, contextual prompting, and audio understanding, and ranks first in VoiceArena's 14-system comparison of speaker diarization plus ASR.

    Quoted postNVIDIA AI · @NVIDIAAI

    Meet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  15. Testing CatalogModel releases
    AI score74

    Mistral releases Mistral Large 4 (Le Chonk) weights on Hugging Face

    Mistral released the model weights of the new version of Le Chonk (Mistral Large 4) on Hugging Face, targeting agentic coding and cybersecurity scenarios. Mistral claims that the model ranks first among open-source models on Cognition's FrontierCode benchmark and sets a new benchmark for Pareto efficiency on Artificial Analysis, while also improving inference efficiency and reducing inference costs. The model is also claimed to achieve SOTA in cybersecurity defense and has been tested by vendors such as CrowdStrike, Cloudflare, Rubrik, and Zscaler; users can customize and self-deploy it with Mistral Forge.

    Quoted postMistral AI · @MistralAI

    Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Reasoning

  16. Josh WoodwardModel releases
    AI score72

    Google releases Gemini 4 Carbon, just two weeks after Argon

    Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its collaboration scope through the Fairwind Program, and subsequently become more broadly available.

    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!

    Same story · 34 reports

    #Model releases#Google#Safety / alignment

  17. Sundar PichaiModel releases
    AI score82

    Google releases Gemini 4 Carbon frontier model, claims first place on Intelligence Index

    Google releases 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 ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened to select trusted cybersecurity defenders, then expand the range of partners through the Fairwind Program, and gradually open up more broadly.

    Same story · 34 reports

    #Model releases#Google#Evaluations / benchmarks

  18. Philipp SchmidModel releases
    AI score68

    Gemini 4 Carbon previewed, with enhanced coding and cybersecurity capabilities

    Gemini 4 Carbon, the next-generation frontier model, is coming soon, with enhanced coding and cybersecurity capabilities building on Argon, pricing held at $2 input / $10 output, and a score of 59 on AA v5. The model is currently being tested with trusted partners, and developer access will open as soon as possible.

    Same story · 34 reports

    #Model releases#English text is being prepared.#Safety / alignment

  19. Mistral AI · XModel releases
    AI score65

    Mistral releases new Le Chonk weights, focusing on agentic coding and cybersecurity

    Mistral AI has released the model weights for the new version of Le Chonk, claiming it ranks first among open models on Cognition's FrontierCode and sets a new benchmark on Artificial Analysis's Pareto efficiency. The model is described as reaching SOTA in cybersecurity defense and has been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights are now available for download on Hugging Face and can be customized and self-deployed with Mistral Forge.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Agents

  20. Arthur MenschModel releases
    AI score72

    Mistral AI opens the Le Chonk model weights

    Mistral AI announced the open release of the model weights for a new version of Le Chonk, saying it advances the open frontier in agentic coding and cybersecurity. The model ranks first among open models on Cognition's FrontierCode and sets a new benchmark for Pareto efficiency on Artificial Analysis; on cybersecurity it claims state-of-the-art, having been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights can be downloaded on Hugging Face and customized and deployed with Mistral Forge. Arthur Mensch reposted and said progress over recent weeks has been good, and now the weights are open.

    Quoted postMistral AI · @MistralAI

    Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:

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