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MULTIMODAL AI
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Automating Artificial Life Search with Vision-Language Models
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10. Automating the Search for Artificial Life with Foundation Models Uses vision-language foundation models to automatically search across ALife substrates for simulations that match prompts, sustain open-ended novelty, or maximize diversity, reducing manual trial-and-error.
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Embodied AI: From LLMs to World Models Survey
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8. Embodied AI: From LLMs to World Models This paper surveys embodied AI through the lens of LLMs and World Models (WMs).
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ATOKEN: Unified Transformer Tokenizer for Multimodal Assets
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2. ATOKEN ATOKEN introduces a single transformer tokenizer that works for images, videos, and 3D assets. https://
arxiv.org/abs/2509.14476 -

MIT Sea Grant Uses Generative AI to Explore Hidden Ocean Worlds
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Diving deep with generative AI! @MIT Sea Grant is fusing custom AI models with underwater photography to unveil marine worlds we’ve never seen before—pixel by pixel, species by species. https://
news.mit.edu/2025/lobstger-
merging-ai-underwater-photography-to-reveal-hidden-ocean-worlds-0625
… #GenerativeAI #BlueTech #OceanExploration -

Render Simulation Subset Matches Quasi-Static Manipulation
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“…turns out the ‘render’ subset of simulation is well-matched to the ‘quasi-static’ subset of manipulation.”
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ByteDance Lynx: Photo-to-Video AI Model with Identity Preservation
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🚨 ByteDance unveils Lynx, a next-gen video model that turns a single photo into smooth, lifelike clips while keeping facial identity intact.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 28 septembre 2025
Key highlights:
▪️1 photo → full video with strong identity, motion & quality scores
▪️Built on a Diffusion Transformer with two clever… pic.twitter.com/LZfwiJ65i1ByteDance unveils Lynx, a next-gen video model that turns a single photo into smooth, lifelike clips while keeping facial identity intact. Key highlights:
1 photo → full video with strong identity, motion & quality scores
Built on a Diffusion Transformer with two clever -

Veed Studio’s talking video model impresses with quality but slow generation
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Tried @veedstudio's new talking video model
— @levelsio (@levelsio) 27 septembre 2025
It's really clean and high res and I'm very impressed, and it's starting to look quite real
Great work @sab8a
Only thing is it's very slow, it took me 11 minutes to generate this 15 second video on @FAL https://t.co/n0F59dbCUC pic.twitter.com/kD8YpGqJKvTried @veedstudio
's new talking video model It's really clean and high res and I'm very impressed, and it's starting to look quite real Great work @sab8a Only thing is it's very slow, it took me 11 minutes to generate this 15 second video on @FAL -

Open-source RAG framework handles multimodal content seamlessly
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All-in-One RAG framework that can handle multimodal text, visual diagrams, tables, formulas and more in one cohesive interface. And it's 100% Opensource.