Multimodal

NVIDIA, Tsinghua, University of Toronto, and Vector Institute released Gamma-World, a multi-agent world model using simplex-based positional encoding and hub tokens to cut interaction cost from quadratic to linear, with 8-player latency dropping from 17.6 ms to 4.5 ms.

OpenAI launched gpt-realtime-translate, a speech translation model that accepts 70+ input languages and outputs speech in 13 target languages; the post says the feature is running on smart glasses.

Shift said it would clean New Yorkers’ homes for free if it can film cleaners doing chores such as washing dishes, wiping counters, dusting tables, and mopping floors, creating domestic robot training data; the snippet does not disclose consent terms, data retention, pricing, or expansion timing for cities such as London.

Shift offers free home cleaning and records cleaners scrubbing, vacuuming, dusting, tidying, and washing to collect robot training footage; the RSS snippet does not disclose service cities, privacy terms, consent mechanics, or dataset scale.

The Verge tested Adobe Firefly AI Assistant in beta. It can operate Adobe design apps as a conversational middleman, rather than only generating images or video. The post says it explains edit steps clearly, but the results were not impressive. The RSS snippet does not disclose pricing, release timing, or the full list of supported apps.

Xiaomi’s large model application team open-sourced ControlFoley, a controllable video Foley model supporting three tasks: text-guided video dubbing, text-controlled video dubbing, and reference-audio-controlled video dubbing, with code, model weights, and an online demo released.

Demis Hassabis predicts AGI could arrive around 2029 to 2030, with mature multimodal capabilities and autonomous decision-making as key conditions, while warning that society remains underprepared and needs rules and safeguards before deployment.

StepFun released Step 3.7 Flash with 196B total parameters, 11B active MoE, a built-in 1.8B ViT, and local execution on 128GB RAM.

StepFun released the open-source Step 3.7 Flash model with a 198B-parameter MoE architecture, about 11B active parameters, a 256K context window, and a 67.1 score on ClawEval-1.1.

Google AI Developers released Nano Banana Pro and Nano Banana 2, two image models available for production use through the Gemini API; the post names gemini-3-pro-image and gemini-3.1-flash-image but does not disclose pricing, benchmarks, or rate limits.

Tribeca Festival will premiere the 75-minute AI-generated film Dreams of Violets, which cost $2,000 to make and uses people and images fully created by AI.

NVIDIA Research presented 8 ICRA papers on sim-to-real robotics: ScheduleStream delivered a 3x speedup for multi-arm planning, COMPASS reached about 80% success across 20 real-world navigation trials, and Grasp-MPC achieved about 75% real-robot grasping success.

The title says Nvidia LocateAnything-3B performs vision-language grounding with parallel box decoding and runs 10x faster than Qwen3-VL; the post body only provides Hugging Face, GitHub, demo, and project links, and does not disclose benchmark setup or accuracy numbers.

NTU AutoMan Lab, Harvard, and Xiaomi Auto proposed AutoMoT, a unified VLA driving model using a 4B Qwen3-VL Understanding Expert and a 1.6B Action Expert with asynchronous inference, reaching 89.42 DS and 74.09% SR on Bench2Drive with AutoMoT+.

X Square Robot open sourced Wall-OSS-0.5, a VLA model whose 400k pretraining checkpoint scored above 80 on 4 of 17 real-robot zero-shot tasks, with weights, code, training recipe, ablations, and a DMuon optimizer implementation released.

Hao AI Lab open-sourced FastVideo Dreamverse, a real-time video generation tool that generates a 30-second 1080p video in 7 seconds under the stated setup of one NVIDIA B200 GPU and LTX-2.

Runway launched an MCP server that lets compatible agents such as Claude, ChatGPT, and Cursor generate images and videos inside chat interfaces, with access to Gen-4.5, Seedance 2.0, GPT Image 2, Kling 3.0, and Nano Banana Pro.

YouTube will automatically label videos using significant photorealistic AI, no longer relying only on creator self-disclosure. The RSS snippet says AI labels will become more prominent, but the post does not disclose rollout timing, detection thresholds, appeal rules, or whether the system covers shorts and livestreams.

Shanghai Innovation Institute’s LeapQuest and three universities released Ophiuchus and MedScope, applying Think with Images and Think with Videos to medical AI; Ophiuchus-7B scored 68.0 on eight VQA benchmarks, above OpenAI-o3 at 62.2, Gemini 2.5 Pro at 61.8, and GPT-5 at 59.9.

PrismML released Binary and Ternary Bonsai Image 4B, 1-bit and ternary text-to-image diffusion transformers around 3GB, compared with FLUX.2 Klein 4B at about 16GB, with browser-local WebGPU demo links and an Apache-2.0 license disclosed in the Reddit snippet.