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Friday28 items

  1. TechCrunch AIModel releases
    AI score65

    Canva launches its first image generation model, Canva Craft

    Canva has launched its first image generation model, Canva Craft, developed by its in-house research team and benchmarked against similar models from Google, OpenAI, ByteDance and Meta. The model works in two stages: it first generates a plan containing spatial relationships, relative proportions, visual hierarchy and text information, then outputs images at up to 2K resolution supporting about 30 aspect ratios, with an emphasis on accurate object details, clear text and precise local editing. The model is trained on human-designed works from Canva's template library rather than photos, and the generated results can be converted into layered designs via Canva Magic. It is now available to all users on the Dream Lab tab and will be integrated into third-party chatbots such as ChatGPT and Gemini through the Canva API and MCP.

    Same story · 4 reports

    #Model releases#Image generation#Multimodal

  2. Zhi DongxiModel releases
    AI score66

    ElevenLabs Releases Eleven Realtime Real-Time Voice Model, Hands-On Test of Voice-Built Agent

    On October 20, ElevenLabs released the Eleven Realtime series of real-time voice models, including v1 Mini for natural conversation and v1 Max for customer service and multi-step tasks, supporting more than 90 languages and 17,000 voices. According to Artificial Analysis testing, Max achieved 98.8% accuracy on the Big Bench Audio voice reasoning benchmark, ranking third, with an average first audio response time of 0.57 seconds, while Mini was 0.62 seconds. Both models can be used through the ElevenAgents platform or the Realtime API compatible with the OpenAI Realtime specification, and currently only support WebSocket connections; Zhi Dongxi's hands-on test found that its Architect building assistant can modify Agent settings by voice, but the Chinese accent is noticeable, responses tend to be long, and latency is relatively high.

    Same story · 7 reports

    #Model releases#Speech#Agents

  3. ZhidxModel releases
    AI score78

    Recursive, co-founded by Yuandong Tian, open-sources Flint, a 40B local coding model

    Recursive Superintelligence, co-founded by former Meta FAIR research director Yuandong Tian, has launched its first local coding model, Flint, with 39.8 billion total parameters and approximately 2.5 billion activated parameters per token. It has been open-sourced under the Apache 2.0 license, with weights available via Hugging Face. The model generates over 150 tokens per second on NVIDIA RTX Spark and over 125 tokens per second on a MacBook Pro with M4 Pro, and scores 54.9%, 89.7%, and 74.2% on Terminal-Bench 2.1, SWE-Bench Pro v2, and SWE-Bench Verified, respectively. Recursive says its team completed the entire training pipeline from scratch in under 4 months with the help of its automated research system Eureka Machine.

    Same story · 9 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  4. ZhidxModel releases
    AI score71

    iFlytek releases the Spark X2.6 cloud-device integrated large model, trained on fully domestic computing power

    iFlytek releases the cloud-device integrated large model iFlytek Spark X2.6, including the cloud-side 293-A30B model and the already open-sourced on-device X2.6-4B model, both of which completed capability upgrades based on fully domestic computing power. The cloud model supports a million-token context, with an input price of 0.9 yuan per million tokens and an output price of 3.6 yuan per million tokens; its input cache-miss and output prices are lower than those of DeepSeek-V4.1-Flash-1017. At the same event, it also released the speech foundation model SparkAudio 1.0, the Robot Super Brain Platform V3.0, the WinWork digital employee platform, and hardware such as the iFlytek AI recording ring.

    Same story · 7 reports

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

  5. MarkTechPostModel releases
    AI score68

    Gradium Open-Sources Phonon On-Device TTS Models, 31M Version Uses Apache 2.0

    Gradium has open-sourced the Phonon series of on-device text-to-speech models. The English version, Phonon 31m, has 31M parameters and a 64.5 MB q8 GGUF file, uses the Apache 2.0 license, and outputs 24 kHz mono audio. The model runs without a GPU on CPUs, phones, Raspberry Pi 5, and in browsers. On a MacBook Air M5 CPU, it produces the first audio segment in 6.9 ms, and on Gradium's self-tested 500-sentence hard set it achieves a WER of 1.70%, compared with 3.50% for Kokoro. The 40m version covers five languages—English, French, German, Spanish, and Portuguese—but uses the CC BY-NC 4.0 non-commercial license.

    #Model releases#Open-source ecosystem#Speech

  6. Testing CatalogModel releases
    AI score69

    Ideogram Releases Vector Model Vector 1.0, Capable of Generating Editable SVGs and Vectorizing Images

    Ideogram has released its first vector model, Vector 1.0, which can generate SVGs with smooth gradients and sharp typography from text prompts, and can also convert any image into a scalable vector graphic. The generated SVGs are editable, with each component as an independent layer that users can rotate and move. The model is now live in Ideogram and the API.

    Quoted postIdeogram · @ideogram_ai

    Today, we’re introducing Ideogram's first vector model. Generate clean, editable SVGs with smooth gradients and sharp typography from a text prompt, or turn any image into a detailed, scalable vector. Live in Ideogram and the API: https://t.co/Cou2mo5p37 https://t.co/TWBuLiJ31a

    #Model releases#Image generation#Multimodal

  7. Ai2 BlogFirst-partyModel releases
    AI score59

    Ai2 Releases OlmoEarth v1.3 Satellite Embedding Model and Global Embedding Data

    Ai2 has released the OlmoEarth v1.3 satellite embedding model, which generates 128-dimensional vectors for every 10-meter pixel worldwide, with the first 64 dimensions usable on their own, and has made public the model weights, pretraining data, and code. In 27 evaluations covering six continents, the 128-dimensional version scored highest on 20, and the 64-dimensional version led on 18, compared against AlphaEarth Foundations and Tessera v2. At the same time, the login-free OlmoEarth Embeddings Explorer has launched, allowing users to browse global embeddings by year, find similar locations, and train small classifiers on the spot with a few labeled points; data for 2025, 2024, and 2023 has global coverage, while 2017 to 2022 covers only some countries.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

Thursday37 items

  1. Ant LingModel releases
    AI score58

    Ant Ling Open-Sources Medical-Enhanced Model Ling-3.0-flash-Sante

    Ant Ling announced the official open-sourcing of Ling-3.0-flash-Sante, a medical-enhanced MoE model with 124B total parameters that activates only 5.1B parameters per token; the company claims it leads models of the same scale in performance on professional medical tasks and complex medical reasoning. Beyond medical question answering, the model has also been strengthened for deep research, multi-agent collaboration, and tool calling, and its model weights are now available for download.

    #Model releases#Open-source ecosystem#Reasoning

  2. Unite.AIModel releases
    AI score50

    Ai2 Releases OlmoEarth v1.3, Offering Global 10-Meter Resolution Satellite Embeddings

    The Allen Institute for AI released OlmoEarth v1.3 on October 22, 2026, including the OlmoEarth v1.3 Base model, 128-dimensional and 64-dimensional global precomputed annual embeddings, the login-free browser-based OlmoEarth Embeddings Explorer, and a technical report, all under the OlmoEarth Artifact License. The model is a 128-million-parameter ViT-Base foundation model that processes Sentinel-1, Sentinel-2, and Landsat image time series, outputting a 128-dimensional vector for every 10-meter pixel worldwide. Ai2 states that across 27 evaluations covering six continents, the 128-dimensional embeddings scored highest on 20 of them, while the 64-dimensional version led on 18; it also introduced PLANTEUR, a benchmark for crop types in tropical farmland, where the 128-dimensional embeddings achieved 24.9 mIoU in the benchmark's leave-one-island-out test, higher than Tessera v2's 19.1 and AlphaEarth Foundations' 15.8.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  3. SiliconANGLEModel releases
    AI score60

    Ai2 Releases OlmoEarth v1.3 Satellite Embedding Model and Global Annual Embedding Data

    Ai2 has released the satellite map embedding model OlmoEarth v1.3 and precomputed annual embedding data for the globe at multiple resolutions, while also launching the browser-based mapping tool OlmoEarth Embeddings Explorer, which can be used without logging in. The model compresses a year of satellite observations into a numerical fingerprint for each 10×10-meter patch of ground, and at the finest resolution it also offers two additional tiers of 64 square meters and 128 meters, which can be used to distinguish land cover such as farmland, forest, and mining areas. Ai2 says v1.3's training compute time is only 53% of v1.2's and 18% of v1's, with carbon emissions at 50% and 22% of the two, respectively.

    #Model releases#Open-source ecosystem#English text is being prepared.

  4. The DecoderModel releases
    AI score75

    Recursive Releases Its First Model Flint, Developed with Participation from Eureka Machine

    AI startup Recursive has released its first language model, Flint, with its Eureka Machine system involved in almost every step of the R&D process, as the system itself proposed ideas, implemented them, tested them, and planned subsequent experiments. Flint is a MoE model for agentic coding on local hardware, with 40B total parameters and 2.5B activated per token. It was completed in four months, and its weights are released on Hugging Face under the Apache 2.0 license, supporting llama.cpp, Ollama, LM Studio, vLLM, and SGLang. Recursive claims that it leads MoE models with fewer than 50B parameters on SWE-Bench Pro v2, Terminal-Bench 2.1, and SWE-Bench Verified, but the results have not yet been independently verified.

    Same story · 9 reports

    #Model releases#Open-source ecosystem#Agents

  5. LeitechModel releases
    AI score62

    iFlytek releases the Spark X2.6 series models and open-sources the 4B on-device version

    At the 2026 Global 1024 Developer Festival, iFlytek released the device-cloud integrated Spark X2.6 series models and open-sourced the Spark X2.6-4B on-device large model, raising device-cloud collaboration efficiency to 96.1%. Spark X2.6 is now available for trial on the iFlytek Spark official website, with input priced at a limited-time 0.9 yuan per million tokens and output at a limited-time 3.6 yuan per million tokens. The same event also saw the release of the SparkAudio 1.0 speech foundation large model, the Spark Smart Cockpit SparkAuto Space 3.0, and the Xingfan WinWork digital employee platform.

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

  6. Clément DelangueModel releases
    AI score59

    Hugging Face open-sources DNA model Carbon-X, mid-trained on Qwen3-14B

    Hugging Face co-founder Clément Delangue announced the open-source DNA model Carbon-X, obtained by mid-training Qwen3-14B on 300B tokens of DNA, English, and interleaved data, using a hybrid tokenizer with BPE for English and a 6-mer tokenizer for DNA. The model surpasses all open-source language models it evaluated on five DNA understanding and generation benchmarks, improving on Qwen3-14B by 27 points, with API costs 1,800 times lower than GPT 6.1 Sol. The model is released on Hugging Face under the Apache 2.0 license.

    Same story · 9 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  7. LeiphoneModel releases
    AI score58

    Ant Group Digital Technologies releases decision model LingDT-Decision-1.0, offering two versions: 4B and 27B

    Ant Group Digital Technologies has released the decision model LingDT-Decision-1.0, offering two versions, 4B and 27B. It is now live on the Ant Group Digital Technologies DTMaaS platform with a limited-time free trial. According to the company, in scenarios such as customer service, risk control, and finance, it can reduce Token consumption by over 90% and improve response time by 10x compared with large language models. The model supports native multiple-choice and sequential decision-making (DAG), and its overall score on 23 open-source evaluation benchmarks surpasses decision models such as Microsoft-Decision-1 and Jev 1.13.0; the 27B version has the highest accuracy among models of the same parameter size.

    Same story · 3 reports

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

  8. Phoenix TechnologyModel releases
    AI score70

    iFlytek releases the iFlytek Spark X2.6 cloud-device integrated large model

    iFlytek releases the iFlytek Spark X2.6 cloud-device integrated large model, completing a capability upgrade based on fully domestic computing power. It includes the cloud-side 293-A30B model and the on-device X2.6-4B model, the latter of which has been open-sourced. The cloud model supports a one-million-token context, with an input price of 0.9 yuan per million tokens and an output price of 3.6 yuan per million tokens. iFlytek says its cloud-device routing accuracy has risen from 81.2% to 96.1%, and the inference efficiency of the domestic Feixing-2 chip has reached 4.5 times that before optimization.

    Same story · 7 reports

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

  9. WallstreetcnModel releases
    AI score68

    First hands-on results of Google Gemini 4 Carbon surface: 3D generation stronger than Argon but 2 to 4 times slower

    Google's next-generation model Gemini 4 Carbon has begun blind testing on LMArena under the name gemini-4-argon, and partners have also received test versions. Testers say its 3D scene generation quality is noticeably higher than Argon's, but the same task takes 2 to 4 times longer, while SVG and front-end design performance remains mediocre. Business Insider previously reported that Google employees who tried it internally felt that its coding felt very much like Opus 5.5.

    #Model releases#Google#Evaluations / benchmarks

  10. 36Kr · AIModel releases
    AI score80

    Recursive open-sources 40B MoE coding model Flint, runnable on MacBook Pro

    Recursive, founded by Tian Yuandong, has open-sourced its first model Flint, focused on local Agent coding, with 40 billion total parameters, 2.5 billion activated per token, and support for a 512k token context window. The company says that paired with its self-developed inference engine rec, Flint can reach at least 125 tokens/s on a MacBook Pro and over 150 tokens/s on RTX Spark, roughly 1.4–2.6 times higher throughput than llama.cpp. Flint scores 74.2% on SWE-bench Verified, 89.7% on SWE-bench Pro v2, and 54.9% on Terminal-Bench 2.1; rec currently supports M4 Pro, M5 Pro, and M5 Max, requiring at least 48GB of unified memory and about 30GB of free disk space.

    Same story · 9 reports

    #Model releases#Open-source ecosystem#Agents

  11. Shanghai ObserverModel releases
    AI score65

    iFlytek Releases Spark X2.6 Large Model, Focusing on Cloud-Device Collaboration

    At the main forum of the 2026 Global 1024 Developer Festival, iFlytek released Spark X2.6. Built on a fully domestic, self-reliant technology stack, it uses cloud-device collaboration to let on-device devices handle some tasks while complex problems are handed to the cloud, reducing Token costs and protecting sensitive data. Spark X2.6 is the first to achieve breakthroughs in coding and Agent capabilities based on fully domestic computing power, with the on-device Spark X2.6-4B reaching 41.9% coverage of Agent tasks. iFlytek says dynamic parallel training for long-horizon tasks improves ultra-long-context training efficiency by about 4x and inference efficiency on domestic clusters by 4.5x, and it has already been deployed in education, healthcare, legal and other fields.

    Same story · 7 reports

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

  12. WallstreetcnModel releases
    AI score69

    iFlytek releases cloud-device integrated Spark X2.6 and on-device Spark X2.6-4B

    On October 22, iFlytek released the cloud-device integrated iFlytek Spark X2.6 at the 1024 Developer Festival, and simultaneously launched the on-device model Spark X2.6-4B; the system routes tasks to pure on-device, pure cloud, or cloud-device collaborative execution. Spark X2.6 uses a MoE architecture with 293B total parameters and 30B activated parameters, with the context window expanded to 1 million Tokens. The official website shows X2.6 at a limited-time 40% discount, with input and output prices of 0.9 yuan and 3.6 yuan per million Tokens, respectively. Liu Qingfeng expects that in the future about 60% of scenarios can be completed on-device, 30% will use cloud-device collaboration, and 10% will require cloud large models. The company says the share of tasks that can be completed independently on-device has risen from 12.8% to more than 40%.

    Same story · 7 reports

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

  13. Wired AIModel releases
    AI score71

    Hugging Face Releases Open-Source DNA Model Carbon-X, Runs Locally on a Laptop

    Hugging Face on Thursday released the open-source DNA understanding model Carbon-X, which can run locally on a laptop, letting users ask in natural language how DNA changes affect gene activity and health. The model was developed in collaboration with researchers at Zhongguancun Academy and the University of Naples Federico II; it extends the vocabulary of an existing language model to read DNA in six-letter units and was further trained on 300 billion tokens of DNA sequences, English text, and samples pairing DNA with biological descriptions. The model has 14B parameters and can process sequences of about 50,000 base pairs at a time; it cannot upload a complete human genome. The developers also note that the prediction accuracy has not yet been validated through wet-lab experiments.

    Same story · 9 reports

    #Model releases#Open-source ecosystem#Hugging Face