# multimodal AI insights

Rangoon Insights reporting and guides tagged multimodal AI.

Canonical: https://rangoon.ai/insights/tags/multimodal-ai/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [MedGemma 1.5 expanded a 4B model toward volumes, slides and longitudinal imaging inputs](https://rangoon.ai/insights/archive-google-medgemma-1-5-imaging-january-2026/)
  Google released MedGemma 1.5 4B on January 13, 2026, adding stated support for CT and MRI volumes, histopathology patches, chest X-ray comparison and lab-report extraction.
- [Ai2 released Molmo 2 with open video-grounding models, data and checkpoints](https://rangoon.ai/insights/archive-ai2-molmo2-video-grounding-december-2025/)
  Ai2 released Molmo 2 on December 11, 2025, adding 4B, 8B and fully open 7B video-language variants with pointing and tracking artifacts.
- [Liquid AI released LFM2-Audio as one compact audio-and-text foundation model](https://rangoon.ai/insights/archive-liquid-lfm2-audio-october-2025/)
  Liquid AI released LFM2-Audio-1.5B on October 1, 2025, combining audio and text inputs and outputs in a 1.5B-parameter model.
- [Liquid AI released LFM2-VL as compact vision-language models for edge deployment](https://rangoon.ai/insights/archive-liquid-lfm2-vl-edge-august-2025/)
  Liquid AI released LFM2-VL on August 12, 2025, introducing 450M and 1.6B vision-language models with conditional open-license terms.
- [Baidu opened ERNIE 4.5 as a model family, making artifact and license selection part of deployment](https://rangoon.ai/insights/archive-baidu-ernie-4-5-open-model-family-june-2025/)
  Baidu opened ten ERNIE 4.5 variants on June 30, 2025, with Apache 2.0 terms, public artifacts and development tooling.
- [Microsoft brought Copilot Vision to mobile and announced a staged Windows rollout](https://rangoon.ai/insights/archive-microsoft-copilot-vision-april-2025/)
  Microsoft announced Copilot Vision on April 4, 2025 for mobile camera and photo use, with Windows Vision first planned for Insiders.
- [Cohere released Aya Vision as an open-weight multilingual vision-language family](https://rangoon.ai/insights/archive-cohere-aya-vision-multilingual-march-2025/)
  Cohere Labs released Aya Vision on March 4, 2025, pairing 8B and 32B open-weight vision-language models with evaluation across 23 languages.
- [Hugging Face released SmolVLM2 as a compact family for image and video understanding](https://rangoon.ai/insights/archive-hugging-face-smolvlm2-video-february-2025/)
  Hugging Face released SmolVLM2 on February 20, 2025, adding 2.2B, 500M and 256M vision-language models for small-device video workflows.
- [Cohere’s Command A Vision added image inputs with explicit request and tool-use limits](https://rangoon.ai/insights/archive-cohere-command-a-vision-july-2025/)
  Cohere released Command A Vision on July 31, 2025, adding image and text processing with a 128K-token context window and image-request limits.
- [Gemma 3n framed on-device multimodality as an artifact-provenance problem](https://rangoon.ai/insights/archive-google-gemma-3n-may-2025/)
  Google introduced Gemma 3n on May 20, 2025, describing an open multimodal model designed for phones, laptops, and tablets.
- [Phi-4-multimodal joined text, image and speech in one model route](https://rangoon.ai/insights/archive-microsoft-phi-4-multimodal-february-2025/)
  Microsoft introduced Phi-4-multimodal on February 26, 2025 as a 5.6B-parameter model that accepts text, images and audio, changing how multimodal input paths can be tested.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)