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Nov 13Fri
  1. Hacker News · AI hot posts86

    Edge0 open sources 145B and 120B edge-side models and inference frameworks.

    Edge0 open-sourced the Edge0-145B and Edge0-120B two edge models, and also released a unified inference framework and deployment tools. Officially, the 145B model can run locally on compatible laptops, with peak memory of 29GB, decoding speed of 80+ tokens/s, pre-filling speed of 1100+ tokens/s, supporting context lengths of 128K–256K.

    Why it matters: The original text provides actual memory, speed, and multiple benchmark comparisons of the edge 145B model, which can be used to judge the practical boundaries of running cutting-edge models locally.

  2. Hacker News · 300+82

    Google launches Gemini 4 Hydrogen and Orchestrator in Antigravity.

    Google has launched Gemini 4 Hydrogen in Antigravity and added an Orchestrator model option, combining Hydrogen with stronger models like Gemini 4 Carbon for long-period tasks.

    Same story · 5 outlets
  3. The Decoder88

    Google released Gemini 4 Hydrogen, surpassing larger Argon on benchmarks after four weeks

    Same story · 5 outlets
  4. ITHome · AI87

    Google releases Gemini 4 Hydrogen model, focusing on daily programming and intelligent agent workflows

    Same story · 5 outlets
  5. Google DeepMind87

    Google DeepMind releases Gemini 4 Hydrogen model

    Google DeepMind releases Gemini 4 Hydrogen, targeting daily coding and intelligent agent workflows, with an Artificial Analysis intelligence index of 51 at the default high thinking level, higher than Argon's 50, and reaching 54 at the xhigh level

    Same story · 5 outlets

    Why it matters: Google provides the division of labor and positioning of Hydrogen, Carbon, and Argon, as well as the actual differences in cost and speed between multi-model arrangements.

Nov 11Wed
  1. Hacker News · AI hot posts

    Google SWE uses 48 AI agents to analyze NASA radar data, discovering unreported Mayan pyramids in Mexico within 72 hours

    Google SWE uses 48 AI agents to analyze NASA radar data, discovering unreported Mayan pyramids in Mexico within 72 hours; the agents process 1,200 km² of radar images, identifying suspected pyramids, plazas, and reservoir structures with right angles and sharp corners, which have been confirmed by the National Institute of Anthropology and History of Mexico as not being in the registered records.

  2. Google DeepMind87

    Google DeepMind releases the Gemini 4 Carbon cutting-edge model

    Google DeepMind has opened Gemini 4 Carbon to developers, enterprises, scientists, and consumers, claiming it has reached cutting-edge levels in network security capabilities and long-range intelligent agent workflows.

    Same story · 6 outlets

    Why it matters: The official provides the positioning division of roles between Carbon and Argon, multiple benchmark rankings, and cost comparisons per task to help determine when to use a heavier model.

  3. The Verge · AI85

    Google has publicly released Gemini 4 Carbon and previewed the swarm agent feature.

    Google has expanded the limited release of Gemini 4 Carbon to all paid developers and enterprises, calling it its strongest model.

    Same story · 6 outlets
Nov 10Tue
  1. MarkTechPost82

    Anthropic released Claude Fable 5.2 and Mythos 5.2: The same model, different safety guards.

    Anthropic releases Claude Fable 5.2 and Claude Mythos 5.2, both based on the same underlying model. Fable 5.2 adds a classifier to intercept high-risk cybersecurity tasks and most biology research tasks, while Mythos 5.2 removes these restrictions and requires access through the Cyber Verification Program and Life Sciences Verification Program.

    Same story — showing the featured version《Anthropic released Claude Fable 5.2》

  3. TechCrunch · AI72

    Meta releases lightweight model Muse Ember, highlighting agent execution and low cost.

    Meta Superintelligence Lab releases lightweight model Muse Ember, priced at 10 cents per million tokens, focusing on high-frequency agent tasks such as tool calling, coding subtasks, routing, extraction, and long document parsing.

    Why it matters: Meta uses a pricing of 10 cents per million input tokens and the Artificial Analysis comprehensive benchmark to place the lightweight model in the agent execution context, comparing it with Haiku and Luna.

Nov 9Mon
  1. QbitAI82

    Tencent Hunyuan Hy4 released: 770B total parameters, 49B activation parameters, first supports native vision and computer operation

    Tencent Mixuan Hy4 is officially released, with a total of 770B parameters and 49B activation parameters. It introduces native visual capabilities and computer operation support for the first time, while also upgrading command compliance, long text understanding, and long-range Agent capabilities. The model has been launched on products such as Tencent Cloud TokenHub, WorkBuddy/CodeBuddy, and Yuanbao. API access has been provided to platforms like OpenRouter, Hermes, and OpenCode, with weights to be open-sourced in the near future.

    Why it matters: The author uses multiple long-range tasks to test the autonomous execution and self-check capabilities of the open-source model 'Hunyuan Hy4', thereby judging the actual level of open-source models in Agent delivery.

  2. QbitAI47

    Ji Yuan Law Release NeoHorse-1.5-Flash Preview, Agent model RSI enters the second round of iteration

    Ji Yuan Law Release Agent Native Model NeoHorse-1.5-Flash Preview, based on Qwen3.8-Flash training, 180B total parameters, 6B activation parameters, score improvement in Agents' Last Exam, Natural Language to Repository and other evaluations. This model iterates through recursive self-improvement (RSI) and combines the OpenSquilla platform to achieve differential diagnosis of multiple models and online learning, now open for limited internal testing.

Nov 6Fri
  1. The Decoder73

    Thinking Machines has released the Inkling 2 Small, claiming it is the strongest Western open-source weight model.

    Thinking Machines releases second-generation model Inkling 2 Small, using MoE architecture, with total parameters of 594B and activation parameters of 17B, supporting text and image input and adjustable thinking depth.

    Same story · 2 outlets

    Why it matters: The original text provides specific comparisons of the new model in terms of intelligence index, agent tasks, and cost, allowing readers to judge the competitive position of open-source weight models accordingly.

  2. QbitAI71

    360 DragonBox tops CyberGym rankings with 99.4% vulnerability reproduction success rate

    360's self-developed AI security offense and defense system, DragonBox, tops the CyberGym rankings with a 99.4% vulnerability reproduction success rate, with independent evaluation success rates of 99.27%, 99.47%, and 99.40% over three rounds.

    Why it matters: The original text provides DragonBox's success rates in the three rounds of CyberGym evaluations and its training routes, allowing readers to judge the approach of large security models combined with intelligent swarm agents.

  3. MarkTechPost71

    Thinking Machines has released the Inkling 2 Small: a MoE model with 594B total parameters and 17B activations.

    Thinking Machines Lab released the first model of the second-generation Inkling, Inkling 2 Small, a sparse MoE with 594B total parameters and 17B activation parameters, supporting text and image input and variable inference strength, with a context of 1M tokens.

    Same story · 2 outlets
  4. ITHome · AI78

    Ant Group's Baidu Ling-3.2-flash releases a native multimodal model, with three benchmarks surpassing Claude Opus 5

    Ant Media official team releases native multimodal model Ling-3.2-flash, with a total of 560B parameters, 25B activation parameters, and 1M context window, supporting image, text, and video input.

    Why it matters: The original provides three benchmark comparisons and API pricing, allowing readers to judge the capability position and call cost of this multimodal model.

  5. The Decoder85

    OpenAI releases GPT-6 Cyber security model, capable of finding vulnerabilities and providing repair solutions

    OpenAI launches GPT-6 Cyber, trained to find software security vulnerabilities, capable of discovering defects, building usable exploits, and suggesting patches. OpenAI claims it did not exceed boundaries in 99.93% of tests without special security instructions, compared to 94.49% previously; ExploitGym score 48.5%, previous GPT-5.6 Cyber was 32.1%.

    Same story — showing the featured version《OpenAI releases GPT-6 Cyber security model》

  6. The Decoder70

    Tencent has released the Hy4 model, which first supports image understanding and computer operation.

    Tencent has released the Hy4 model, which is capable of image understanding for the first time and can operate software such as Blender, CAD autonomously, the weight will be opened on an undetermined date later, it is currently only provided through applications such as Tencent Cloud, OpenRouter, and Yuanbao.

    Why it matters: Tencent Hy4 has joined image understanding and computer operation capabilities for the first time, there is a gap between third-party reviews and official statements, you can compare to see the real position of the open weight model.

Nov 5Thu
  1. ITHome · AI78

    The dark side of the Moon releases Kimi K3.1 Pro weights, topping the Agent Arena open-source model list

    As promised on October 24, the 2.8 trillion parameter Kimi K3.1 Pro model weights have been opened on Hugging Face.

    Why it matters: The original text provides the Agent Arena rankings and changes in individual indicators after the open weights, which can be compared with the previous generation K3 to see the improvement in agent capabilities.

Nov 2Mon
  1. ITHome · AI72

    Meituan LongCat releases LongCat-2.5 native multimodal model, 1.6T parameters targeted at long-range intelligent agent tasks

    Meituan Longma has released the native multimodal model LongCat-2.5 for long-range intelligent agent tasks, with a total parameter count of 1.6 trillion, activating about 48 billion parameters per token, enhancing native visual understanding and intelligent agent programming capabilities based on LongCat-2.0.

    Same story — showing the featured version《》

Nov 1Sun
  1. Hacker News · AI hot posts

    GPT-5.6 Sol completed a Factorio run in peaceful mode.

    GPT-5.6 Sol completed a Factorio run in peaceful mode (no biters) in Codex with low thinking levels, taking 13.5 hours of game time. The run used a game manager, allowing Sol/Codex to interact with the game through a small library (Python instead of Bash this time), and the model programmed the game according to GUI rules. Observing the run showed that Sol exceeded expectations in some aspects but also exposed clear weaknesses.

Oct 29Thu
  1. Mistral AI82

    Mistral releases open-source model Mistral Large 4 (Le Chonk) with trillion parameters

    Mistral releases open-weight version of its flagship trillion-parameter native multimodal model Mistral Large 4 (Le Chonk), which has been in public preview for three weeks.

    Why it matters: The official provides data on the encoding, security, and inference efficiency of the trillion-parameter open-source model, as well as weight downloads and self-hosting paths.

  2. QbitAI88

    Google released Gemini 4 Carbon, surpassing Claude Opus 5.5 in multiple benchmarks.

    Google released Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index 5.0 with a score of 59, achieving 65.2% on Terminal-Bench 4.0, higher than Claude Opus 5.5's 59.6% and GPT-6 Astra's 59.1%.

    Same story · 6 outlets
  3. QbitAI

    Diffusion Intelligence releases Clover-35B-A3B-Preview, a 350 billion parameter model that is twice as fast as Jev.

    Diffusion Intelligence releases Clover-35B-A3B-Preview model, with 350 billion parameters achieving a median execution time of 1.52 seconds in the web Agent evaluation WindTunnel, twice as fast as the Jev+Mercury 2.5 combination, with a success rate of 98.6%. The model adopts a MoE architecture, supports thinking mode, and scores 73.6 on SWE-bench Verified.

  4. Latent Space82

    Gemini 4 Carbon topped multiple lists and was the first to be opened to cybersecurity defenders.

    Google DeepMind released Gemini 4 Carbon, only two weeks after Argon, claiming to achieve SOTA in cybersecurity and long-period tasks, ranking first with a score of 59 on the Artificial Analysis Intelligence Index v5.

    Why it matters: Summarizes the positions and pricing of Gemini 4 Carbon on multiple independent lists, and lists the gaps in coding, hallucination rate, etc., compared to competitors.

  5. ITHome · AI

    Tencent Mixuan Hy4, Hy4 flash AI model to be released soon, introducing visual understanding capabilities for the first time

    Tencent announces the upcoming release of the Hunyuan Hy4, which offers a comprehensive upgrade compared to the Hy4 preview, introducing visual understanding capabilities for the first time, and enhancing long-range and productivity tasks; the Hy4 flash AI model will also be launched, providing excellent cost performance, inheriting the visual and Agent capabilities of Hy4.

  6. ITHome · AI85

    Google has released Gemini 4 Carbon, focusing on cybersecurity and topping the Artificial Analysis Intelligence Index.

    Google has officially released the next-generation cutting-edge large model Gemini 4 Carbon, featuring top-tier cybersecurity capabilities and long-range task processing, ranking first with a score of 59 in the Artificial Analysis Intelligence Index v5.0.

    Same story · 6 outlets
  7. The Decoder89

    Google DeepMind releases Gemini 4 Carbon, just two weeks after Argon.

    Google DeepMind launched Gemini 4 Carbon two weeks after Argon, a model that topped the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing the previous Argon with 50 points.

    Same story · 6 outlets
  8. MarkTechPost80

    Google DeepMind released Gemini 4 Carbon, emphasizing network security defense and coding.

    Google DeepMind has launched Gemini 4 Carbon, describing it as a cutting-edge model for long-period intelligent agent coding and cybersecurity defense, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0.

    Same story · 6 outlets
  9. Google DeepMind82

    Google DeepMind releases the Gemini 4 Carbon cutting-edge model

    Google DeepMind releases the Gemini 4 Carbon, claiming it has the strongest capabilities in cybersecurity and long-term tasks, ranking first with a score of 59 in the Artificial Analysis Intelligence Index v5.0

    Same story · 6 outlets
Oct 28Wed
  1. MarkTechPost77

    Google DeepMind Releases Genie 4 Real-Time World Model, Natively Generating Audio

    Google DeepMind released the research preview version of Genie 4, which can generate explorable worlds from text and image prompts in real-time and natively generate environmental sounds, music, and character dialogues. The model introduces Gemini as a planner in the simulation loop, with Gemini 3.8 Flash disassembling goals, checking frames, and replanning, while Gemini Omni anchors the appearance and behavior of the world.

    Same story · 2 outlets

    How the accounts differ:The Verge states the model supports up to two minutes of scenes, while Ars Technica and TechCrunch mention improvements in physics and character simulation but do not specify the scene duration.

  3. Google DeepMind84

    Google DeepMind releases world model Genie 4

    Google DeepMind releases world model Genie 4, which can generate interactive simulated worlds with native audio in real-time, and change weather, camera angles, and scene elements in real-time with text prompts. Genie 4 natively generates environmental sounds and voice conversations for the first time, with characters able to converse in real-time and respond to scene events; Gemini 3.8 Flash acts as a guiding intelligence in the loop, breaking down goals into steps and verifying frame by frame.

    Same story · 2 outlets

    How the accounts differ:The Verge states the model supports up to two minutes of scenes, while Ars Technica and TechCrunch mention improvements in physics and character simulation but do not specify the scene duration.

    Why it matters: The official disclosure of three capabilities—native audio, real-time text control, and Gemini-guided reasoning—can be used to judge the position of the world model in robotics and content preview.

Oct 27Tue
  2. MarkTechPost82

    OpenAI Launches GPT-6.1 Terra, API Price Half of GPT-6.1 Sol

    OpenAI Launches GPT-6.1 Terra, a Fast Model for Visual Reasoning, Computer Use, and Writing, API Launched as gpt-6.1-terra with Standard Pricing of 1 USD per Million Input Tokens and 5 USD for Output, Half the Price of GPT-6.1 Sol

    Same story · 2 outlets