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#Multimodal

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Oct 6

Oct 6Tue
  1. Luma AI NewsAI score22

    Cyberpunk AI Prompts Guide Covers Video and Image Generation Workflows

    AIThe guide offers a prompt structure for cyberpunk visuals built from subject, environment, lighting, camera, style, and quality modifiers, with magenta and cyan neon, rain-slicked reflections, and fog named as key mood elements. It presents 15 ready-to-use prompts and argues that free tools suit testing directions, while full access is needed for commercial campaigns.

Oct 5

Oct 5Mon
  1. Google Developers BlogAI score62

    EmbeddingGemma 2 releases multimodal embeddings with modular encoder loading

    AIGoogle released EmbeddingGemma 2, an open embedding model under the Apache 2.0 license that maps text, code, images, video, and audio into a shared 768-dimensional space. Developers can load a 270M-parameter text and code setup, or add vision and audio encoders up to a 740M-parameter full multimodal model. Matryoshka truncation to 256 or 128 dimensions reduces vector storage, with the guide noting quality losses on image, video, and speech retrieval at lower dimensions.

    Why it matters: The guide gives concrete encoder sizes and dimension-storage tradeoffs, showing how to choose a configuration for text, code, image, video, and audio retrieval.

  2. Google Developers BlogAI score67

    Google releases EmbeddingGemma 2, a multimodal embedding model for on-device search

    AIGoogle DeepMind launched EmbeddingGemma 2, an open-weight 740M parameter model that maps text, images, video frames, and audio into one vector space. The model can run on-device, with about 567MB active RAM for the full multimodal model on a Google Pixel 11 Pro, and is available through Google AI Edge Gallery, Google AI Edge Foresight on Mac, and MediaPipe Tasks, with ML Kit support coming in the weeks ahead.

    Why it matters: The post names concrete on-device apps, memory footprints, and latency figures, showing how a multimodal embedding model can power local search without cloud calls.

  3. Liquid AIAI score37

    Liquid AI's d1 decision model adds vision, rivaling GPT-6.1 Sol at lower cost

    AILiquid AI released d1 with vision support, accepting images, text, or both as inputs. In tests on six real applications, d1 matched or beat GPT-6.1 Sol on four while costing 19x to 200x less than both GPT-6.1 Sol and Claude Opus 5.5. It returns probabilities for yes/no, choice, or score questions in one forward pass, with text decisions in 200 to 300 ms.

    Image from @liquidai's post
  4. Liquid AIAI score36

    Liquid AI's d1 model inspects parts from camera images with 85-97% accuracy

    AILiquid AI's vision-enabled decision model d1 inspects parts directly from camera images and is described as the best such model currently on the market. It reaches 85% to 97% accuracy across four VisA inspection tasks covering circuit boards, candles, cashews, and chewing gum. It understands each task from a short description without task-specific training.

    Video from @liquidai's post
  5. Liquid AI · new models on Hugging FaceAI score44

    LiquidAI releases d1-omni-600M, a 600M decision model for text, image and audio

    AILiquidAI has released d1-omni-600M on Hugging Face, a 587M-parameter model that answers named yes/no, choice and score questions over text, images or up to 30 seconds of speech in a single forward pass. It returns typed answers with zero output tokens by reading the model's distribution over options, and is built on LFM2.5-Encoder-350M with a 16,384-token context length. The model is not a chat model and does not generate text.

  6. Liquid AI · new models on Hugging FaceAI score67

    Liquid AI releases d1-3B, a 3B multimodal decision model for edge deployment

    AILiquid AI has released d1-3B, a 3B parameter multimodal model post-trained to return calibrated, typed answers to yes/no, choice, and score questions in one forward pass. The source reports a Decision Index 0.2.1 score of 48.57, the highest among models under 10B in its table, and 8 ms per decision on an NVIDIA RTX 4090.

    Why it matters: The source gives benchmark scores against named peer models and edge latency figures across several hardware targets, helping readers judge fit for on-device decision pipelines.

Oct 4

Oct 4Sun
  1. Liquid AI BlogAI score70

    Liquid AI releases d1 decision model with image input support

    AILiquid AI introduces d1, its first decision model, now accepting both text and images. The company says d1 matches or beats GPT-6.1 Sol on four of six tested applications, at 19x to 200x lower cost and with faster answers on every task. d1 is available on the Liquid AI API and through Vercel and OpenRouter, with text-only support on those two platforms for now.

    Why it matters: The post gives benchmark comparisons against named models along with per-token pricing and latency figures, which makes the cost and speed tradeoff checkable.

  2. Kling AIAI score36

    Kling 4.0 powers "The Beat," a viral short film with 5M+ impressions

    AIKling AI shares behind-the-scenes details of its short film "The Beat," which has passed 5 million impressions across social platforms. The post says the film used Kling 4.0 features including a 30-second continuous shot, Omni Reference supporting up to 15 multi-modal references, Multi-Keyframe control for up to 10 keyframes, and 10-bit HDR output.

Oct 3

Oct 3Sat

Oct 2

Oct 2Fri
  1. SGLangAI score28

    SGLang's /v1/decisions API turns Qwen3.8-27B into a decision model

    AISGLang demonstrated Qwen3.8-27B as a multimodal decision model that beat Pokémon FireRed's Elite Four and champion with sub-100 ms decisions from live game state. The company says its native /v1/decisions API lets LLMs and VLMs be used for classification and scoring. It also announced /v1/systemone for running Jev-like open models with the TypeSafe SDK.

  2. Google · AI blogAI score58

    Google recaps September 2026 AI launches, led by Gemini 4 Argon

    AIGoogle's September 2026 roundup highlights Gemini 4 Argon, a frontier model with a 1-million-token output limit aimed at complex tasks such as cybersecurity defense. Argon is rolling out first to trusted cyber defenders through the Fairwind Program, with developer, enterprise, and consumer access to follow after guardrail feedback. The post also covers Gemini 3.8 Flash, Connected Apps in Gemini, and WeatherNext 3.

  3. Kling AIAI score52

    Kling 4.0 Enters Closed Beta With Stable Motion and 30-Second Takes

    AIKling 4.0 is in closed beta, with an official launch planned for October, and supports video up to 30 seconds long with up to 4K resolution and 10-bit HDR output. Creator Johnson Sheng reports stable dynamic motion, consistent characters and props across shots, and an unedited 30-second fight sequence, while noting that Kling 4.0 is aimed at commercial production.

Oct 1

Oct 1Thu
  1. Apple Machine Learning ResearchAI score34

    Limits of Confidence-Based Sampling in Discrete Diffusion Models

    AIApple Machine Learning Research reports that discrete diffusion steps match the training distribution only when simultaneously written token positions are conditionally independent given already-fixed tokens. The authors show that per-position distributions cannot determine such dependence, and on the synthetic ScanAndAdd task, confidence-ranked groups of two or more positions were dependent and produced a generated distribution 29 times the sampling-noise floor in total variation.

  2. NVIDIA · new models on Hugging FaceAI score44

    NVIDIA releases PixelUMM, an encoder-free model for pixel-space image and video tasks

    AINVIDIA has released PixelUMM, an encoder-free unified multimodal model with 15,199,672,064 parameters that handles text, image, and video understanding and generation directly in pixel space. It represents images as 16-by-16 RGB pixel patches on a Qwen3-8B language backbone, with iterative denoising for generation. The checkpoint is licensed for non-commercial research or evaluation only, while the source code is under Apache License 2.0.

  3. Google · Gemini appAI score60

    Google launches Guided Vision in Gemini Live for blind and low-vision users

    AIGoogle is launching Guided Vision in Gemini Live on compatible Android devices, letting users share their camera for spoken descriptions and follow-up questions. The model was trained with Aira on tens of thousands of hours of visual interpretation and tested by more than 1,000 members of Aira's Trusted Tester network. The feature is not a medical device, mobility aid, or navigation tool, and it requires Android 9 or later.

    Why it matters: The launch shows how a real-time visual model was trained and tested with blind and low-vision users, a practical reference for accessibility-focused AI design.