←Search results

English text is being prepared.

By relevance · Total 135 results Clear search

Friday

  1. Story2 reports · 2 facts

    Krea AI launches image model Krea 3

    Krea AI has launched Krea 3, a new image model for fast, precise image editing. According to Testing Catalog, the model can merge independent references of people, clothing, and scenes into a single image while keeping faces and color grading consistent; on the real-image editing benchmark CPI-Bench, Krea 3 Ultra scored 4.81 out of 5, second only to GPT Image 2.5 and ahead of all other image models. On the same day, Krea 3 launched on ComfyUI through Partner Nodes, supporting multi-reference image input and targeted editing, where users can reference each reference image by number in upload order, specify product labels, shapes, and materials to preserve while changing the scene, lighting, or composition, and run it via Comfy credits. Krea 3 subsequently launched on OpenRouter, where it can accept 1 to 4 reference images plus a prompt and return native 2K edited images, with most edits taking under 8 seconds end to end; pricing is $0.03 per 1K image and $0.06 per 2K image, with reference images at $0.02 per 1K image and $0.07 per 2K image, thinking_mode defaults to fast with a $0.02 surcharge when set to high, and it uses the Images API shared with other image models.

    Krea AI has launched Krea 3, a new image model for fast, precise image editing. According to Testing Catalog, the model can merge independent references of people, clothing, and scenes into a single image while keeping faces and color grading consistent; on the real-image editing benchmark CPI-Bench, Krea 3 Ultra scored 4.81 out of 5, second only to GPT Image 2.5 and ahead of all other image models. On the same day, Krea 3 launched on ComfyUI through Partner Nodes, supporting multi-reference ima

    Matched fieldsSummary

Sunday

  2. Story2 reports · 1 facts

    StepFun releases the StepAudio 3 Music music generation foundation model

    On September 16, 2026, StepFun released the StepAudio 3 series of audio models, which includes the music generation foundation model StepAudio 3 Music. According to official information, the series comprises 5 audio models in total, covering real-time speech, speech recognition, speech generation, audio generation, and music. The company also disclosed the performance of the other models in the series: Realtime reached 98.9% and 99.7% on Artificial Analysis's Conversational Dynamics and Speech Reasoning respectively, ranking first in both; ASR's word error rate is 1.7%, matching the best score on the leaderboard. The company states that the series can be used to build voice agents capable of handling interruptions, reasoning while speaking, and calling tools, and it is now available through the Voice AI Lab and blog, with the API also open. There are currently no subsequent development facts.

    On September 16, 2026, StepFun released the StepAudio 3 series of audio models, which includes the music generation foundation model StepAudio 3 Music. According to official information, the series comprises 5 audio models in total, covering real-time speech, speech recognition, speech generation, audio generation, and music. The company also disclosed the performance of the other models in the series: Realtime reached 98.9% and 99.7% on Artificial Analysis's Conversational Dynamics and Speech R

    Matched fieldsSummary

  4. Story3 reports · 1 facts

    Google releases Gemini 3.5 Flash

    On May 19, 2026, Google DeepMind released the Gemini 3.5 series, debuting the Gemini 3.5 Flash model first. According to its introduction, the model scored 76.2% on Terminal-Bench 2.1, outputs at 4 times the speed of other frontier models, has been fully opened up, and has become the default model for the Gemini app and AI Mode in global Search; Gemini 3.5 Pro is planned for launch next month. On May 20, Google's Noam Shazeer said that Gemini 3.5's combination of performance and speed makes it suitable for long-horizon and agentic tasks. On the same day, separate reports said that Gemini Spark, a 24/7 personal AI agent powered by Gemini 3.5, can work across apps such as Docs, Calendar, and Slides, and keeps running after the computer is turned off, with rollout starting next week.

    On May 19, 2026, Google DeepMind released the Gemini 3.5 series, debuting the Gemini 3.5 Flash model first. According to its introduction, the model scored 76.2% on Terminal-Bench 2.1, outputs at 4 times the speed of other frontier models, has been fully opened up, and has become the default model for the Gemini app and AI Mode in global Search; Gemini 3.5 Pro is planned for launch next month. On May 20, Google's Noam Shazeer said that Gemini 3.5's combination of performance and speed makes it s

    Matched fieldsSummary

Tuesday

Saturday

  1. OpenAI: Deployment Safety and System CardSelected

    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.

    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% (

    Matched fieldsBody

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

Friday

  1. MarkTechPost

    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%.

    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 beh

    Matched fieldsBody

    #ai-vertical#Model releases#Speech#Open-source ecosystem
  2. TMTPost · AGI

    Google releases Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index with 59 points

    Google has released its new-generation flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing Claude Opus 5.5 and GPT-6 Astra. On Terminal-Bench 4.0, the model improved from Argon's 57.1% to 65.2%, and on the GraphWalks long-context test it rose from 84.2% to 96.2%, but developers report that its generation speed is about 2 to 4 times slower than Argon. This week Google first opened it to a small number of cybersecurity defense organizations, then expanded it to trusted partners through the Fairwind program; the opening time for general users has not yet been announced.

    Google has released its new-generation flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing Claude Opus 5.5 and GPT-6 Astra. On Terminal-Bench 4.0, the model improved from Argon's 57.1% to 65.2%, and on the GraphWalks long-context test it rose from 84.2% to 96.2%, but developers report that its generation speed is about 2 to 4 times slower than Argon. This week Google first opened it to a small number of cybersecurity defense organ

    Matched fieldsBody

    #hot-signal#Model releases#Google#Reasoning

Thursday

  1. ZhidongxiSelected

    Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available

    Matched fieldsBody

    #hot-signal#Model releases#Agents#English text is being prepared.
  2. Zhidongxi

    Chaoyan Intelligence Open-Sources 35B Model Apex-35B-V1.0, with AI Participating in Its Own R&D

    Beijing-based large model startup Chaoyan Intelligence has released and open-sourced its first large model, Apex-35B-V1.0, with 35 billion total parameters, approximately 3 billion parameters activated per token, and support for a 262,000-token context window, optimized through mid-training and post-training based on Qwen3.6-35B-A3B. The model scored 60.9 and 40.0 on the paper reproduction test PaperBench and the scientific research challenge test FrontierScience, respectively, higher than GLM-5.3's 42.5 and 30.7; it scored 84.0 on the tool-calling test BFCL V4, higher than DeepSeek-V4.1-Flash-1017's 75.0. The model has been released with open weights under the Apache 2.0 license, and the official release provides approximately 72GB of BF16 weights and GGUF quantized versions at various precisions.

    Beijing-based large model startup Chaoyan Intelligence has released and open-sourced its first large model, Apex-35B-V1.0, with 35 billion total parameters, approximately 3 billion parameters activated per token, and support for a 262,000-token context window, optimized through mid-training and post-training based on Qwen3.6-35B-A3B. The model scored 60.9 and 40.0 on the paper reproduction test PaperBench and the scientific research challenge test FrontierScience, respectively, higher than GLM-5

    Matched fieldsBody

    #hot-signal#Model releases#Open-source ecosystem#Agents
  3. gihyo.jpSelected

    Google releases Gemini 4 Carbon, strengthening long-duration development and vulnerability discovery and remediation capabilities

    On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the model was first made available to some cybersecurity defenders and gradually expanded through the Fairwind Program, before later being opened to developers, enterprises, and general users. Announced pricing is $2 per million tokens for input and $10 per million tokens for output.

    On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the mo

    Matched fieldsBody

    #hot-signal#Model releases#Agents#English text is being prepared.
  4. gihyo.jp

    NVIDIA Releases Speech Transcription and Translation Model Nemotron 3.5 Transcribe

    On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English translation. The weights are released on Hugging Face as NVIDIA-Nemotron-3.5-Transcribe-30B-A4B under the OpenMDW-1.1 license, with BF16, FP8, and NVFP4 versions and NeMo Speech fine-tuning tools provided.

    On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English

    Matched fieldsBody

    #hot-signal#Model releases#Speech#Open-source ecosystem
  5. SiliconANGLESelected

    Mistral Opens the Weights of Mistral Large 4, a 1-Trillion-Parameter Natively Multimodal Model

    Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardware and behind their firewalls, and the model offers three reasoning modes: low, medium, and high.

    Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardwar

    Matched fieldsBody

    #hot-signal#Model releases#Open-source ecosystem#Multimodal

Wednesday

  1. The New Stack

    Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time st

    Matched fieldsBody

    #hot-signal#Model releases#Speech#Open-source ecosystem