MarkTechPostPerplexity releases open-source decision-making model Decider v1.3 and its lightweight version pplx-decider-flash-v1.3, adding a Locate feature to extract precise text segments.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI has released the Duo 1.2 causal-base model, a full-duplex multimodal world model for real-time audio-video interaction, featuring improved generation quality, and model weights can be downloaded from Hugging Face.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI releases Duo-1.0-distill, a full-duplex multimodal world model for real-time audio-video interaction, including Realization weights with four-step distillation, which needs to be used in conjunction with the causal-base suite.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI releases Duo 1.0 causal-base model, a full-duplex multimodal world model for real-time audio-video interaction, including implementation weights and backbones, intent models and adapters, audio-video encoders, speech recognizers, and forced aligners. The model weights are based on MiniMax H3 initialization and are open-sourced.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI releases the Duo 1.0 Realization weights for FP8-quantized four-step distillation, used for its causal base model, supporting full-duplex real-time audio-video interaction, and needs to be overlaid with the causal base model weights.
Gemini 4 Hydrogen has been released, boosting the Artificial Analysis Intelligence Index score to 51 at the default high reasoning level (Argon is 50, with a maximum of 54), and typically outperforming similar models in task execution speed.
Google DeepMindFeaturedSame story · 2 outlets8787Google 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
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.
Latent SpaceSame story · 2 outlets
The DecoderFeaturedSame story · 2 outlets7878Google DeepMind launches Gemini Decisions API, targeting yes/no, multiple choice, and scale scoring for closed-form judgments. The underlying model, Gemini Decision 1, can handle up to 1000 independent questions at once, covering text, images, audio, video, and PDF.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI/ZoomGain-4B-GGUF is a 175B parameter multimodal model supporting image input, using FP16, Q8_0, and Q4_K_M precision quantization. The model includes a language model and mmproj visual encoder/projector, converted to GGUF format via llama.cpp. It provides llama-mtmd-cli for command-line inference and llama-server for network chat functionality.
Ant Group inclusionAI · Hugging Face new modelsThe GGUF format weights for inclusionAI/ZoomGain-9B have been released, converted using llama.cpp, with the language model in FP16, Q8_0, Q4_K_M. The visual encoder and projector (mmproj) also adopt this quantization scheme. Both the language model and mmproj files need to be provided for image input, supporting CLI inference (llama-mtmd-cli) and Web Chat (llama-server) deployment.
Ant Group inclusionAI · Hugging Face new modelsSing VL S1 is a multimodal decision-making model based on Qwen3.5, capable of answering named entity questions with text or JSON and up to four images, scoring options for each question using a single Transformers forward pass, performing excellently on 43 text datasets and 11 visual datasets, supporting Python 3.12 and PyTorch inference.
Google launches VLA robot model Gemini Robotics 2.5, achieving leaps in dexterity, reliability, and safety, with a success rate of 96% on the Mercedes production line. The model has tested 200 tasks, with a success rate 30%-100% higher than the baseline, a speed increase of 20%-30%, and is compatible with robots like Apptronik Apollo 2, adopting ASIMOV-Jailbreak benchmark to enhance jailbreak resistance to 99.5%.
Meta launches Muse Ember, its smallest and most efficient model designed for complex reasoning tasks, outperforming Claude Haiku 5.5 and GPT-6 Luna in smartness-to-cost ratio, with a cost of 0.10 USD per million input tokens and 0.50 USD per million output tokens, supporting a 1M context window and 512K output tokens.
Simon WillisonMeta AI releases Muse Ember model, designed for complex reasoning execution and intelligent agent daily tasks such as tool use, coding subtasks, routing, extraction, and long document parsing.
MarkTechPostSame story · 3 outletsMeta releases Muse Ember, its smallest and most efficient model, designed for repetitive steps in agents. Muse Ember scores 36 on the AA Intelligence Index, matching Claude Haiku 5.5 (max effort), with a cost of about 0.14 USD per task.
Muse Ember is Meta's smallest and most efficient AI model, performing comparably to Claude Haiku 5.5 on the Artificial Analysis rankings, but with a single-task cost of only 1/3 and surpassing GPT-6 Luna.
Google Developers Blog5858Google Cloud releases MaxText v0.2.4, supporting long-context training on TPUs, achieving 70% MFU for sequences of 4 million tokens with the Llama 3.1 8B model on TPU 5p using MaxText Context Parallelism technology, seamlessly scalable to 14 million tokens on TPU 5p and TPU 7
Claude · YouTubeSame event7575Anthropic released Claude Fable 5.2, stating that it has improved in coding, reasoning, and vision, targeting the most complex and open-ended technical work. The official recommendation is to start most coding and knowledge tasks from Opus 5.5, and Fable 5.2 has been launched in the Pro, Max, Team, and Enterprise packages.
Same story — showing the featured version《Anthropic released Claude Fable 5.2》
Claude · YouTubeFeatured7575Anthropic releases Claude Fable 5.2, designed for the most challenging technical challenges, with improvements in coding, reasoning, and vision, suitable for the most ambitious open-ended technical work. The official recommendation is to use Opus 5.5 for most coding and knowledge tasks, and Fable 5.2 is now available in the Pro, Max, Team, and Enterprise packages.
Why it matters: The official statement explains the positioning and applicable scenarios of Fable 5.2, and provides a choice suggestion between Opus 5.5, making it easier to decide which model to use.
The DecoderFeatured7171Why it matters: The original text lists three capabilities: multi-round editing stability, native RGBA output, and text rendering, which can be used to determine its position in the design production process.
TechCrunch · AIFeatured7272Meta 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.
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.
MIT News · AI3838The FLEX platform developed by researchers from MIT and New York University enables robots to infer deep meaning from natural language instructions, enhancing their motion planning capabilities. The platform uses GPT-4o to analyze instruction patterns, allowing robots to avoid electronic devices such as laptops and phones in virtual scenarios without explicit instructions. The entire process takes about five seconds, aiming to help robots understand the underlying intent behind human instructions.
The DecoderFeaturedSame story · 2 outlets7373Thinking 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.
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.
ByteDance Seed · Hugging Face new modelsCola2 is a continuous latent language model that combines dynamic compression VAE, block causal diffusion Transformer (DiT), and cross-segment causal token decoder, dynamically grouping text into semantic segments, representing each segment with a compact continuous latent, generating latent blocks and implementing them as discrete tokens.
MarkTechPostFeaturedSame story · 2 outlets7171Thinking 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.
MarkTechPostFeaturedSame story · 3 outlets7272Google releases video generation and editing model Gemini Omni 1.2 Flash, natively supporting up to 15-second clips, with 720p video pricing at $0.07 per second, a reduction of about 30% compared to Omni 1.1 Flash
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.
MarkTechPostSame story · 2 outlets6262Baidu released ERNIE 5.5 Flash Base, a 280B parameter sparse MoE base model, activating 14B parameters per token, supporting 128K training context and 1M inference context.
Hugging Face BlogFeatured7171NVIDIA has added four new open-source weight checkpoints for Cosmos 3 under the Cosmos World Model platform, all of which are post-trained versions of Cosmos 3 Nano, containing 16B trainable parameters, using the OpenMDW1.1 license, allowing commercial and non-commercial use.
Why it matters: The original text provides four open-source weight checkpoints and a four-stage training recipe, allowing readers to judge how to adapt the world model to their own sensors and robot bodies.
The DecoderSame story · 2 outlets
Google AI BlogFeaturedSame story · 3 outlets7878Google has released Gemini Omni 1.2 Flash and has officially opened it through the Gemini API and Gemini for business. The duration of native video generation has increased from 10 seconds in Omni 1.1 to 15 seconds, with a step length of 1 second specified from 3 to 15 seconds. The price of 720p has been reduced to 0.07 US dollars per second, a decrease of 30% from 1.1.
Google DeepMindFeaturedSame story · 3 outlets7878Google DeepMind has released Gemini Omni 1.2 Flash, increasing the native video generation duration from 10 seconds in Omni 1.1 to 15 seconds, and it has been fully opened in the Gemini API and Gemini for business.
Why it matters: The original text lists specific changes in duration, price, and reference consistency, allowing readers to judge how the cost and workflow of video generation will change.
The DecoderFeatured7070Tencent 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.
NVIDIA Newsroom3838NVIDIA enhances memory efficiency through full-stack co-design, optimizing memory usage across layers of GPU, CPU, network, storage, and software. The Blackwell Ultra GPU increases HBM capacity by about 3% per GPU, while the SemiAnalysis AgentX reduces agent inference cost by 30x.
ByteDance Seed · Hugging Face new modelsByteDance-Seed/Qwen3-30B-A3B-MoE-SAE is released, containing TopK sparse autoencoders (k=100, 2^20 latent variables) trained on layers 4, 30, and 46 of the Qwen3-30B-A3B model. Each SAE is approximately 17.2 GB, with reconstruction variance unexplained scores of 12.6%, 25.1%, and 7.6% respectively.
Hugging Face Daily Papers5959Apriel Voice 27B Preview is an open-source speech language model that integrates speech understanding, reasoning, and tool use through a two-stage training process (including online distillation) and performs excellently in audio benchmark tests.
