Google’s multi-agent framework keeps long-form AI video coherent
Google Research describes a unified multi-agent system that plans visual continuity across shots to reduce drift and cascading errors in long-form AI video generation.
Frontier models, research results, agents, and developer tooling.
Google Research describes a unified multi-agent system that plans visual continuity across shots to reduce drift and cascading errors in long-form AI video generation.
The new model helps developers build systems that know who spoke when in live, multi-speaker audio.
DeepMind's new Live Avatar feature pairs Gemini 3.8's live dialogue with streaming video and lip-synced speech, letting enterprise agents converse with a visible, responsive persona.
A botched firmware update disabled Samsung’s Bespoke AI fridges during the Chuseok holiday, forcing owners to throw out food.
Ringg says its OpenAI-powered agents now resolve up to 65% of customer calls and handle over 7 million calls a month.
Google DeepMind's new text-to-speech models let creators design original voices and direct performances line by line, with built-in watermarking.
A startup is applying chain-of-thought AI to biology, aiming to outpace adversaries in the race to design and defend against new genomes.
The XPRIZE Wildfire competition showed AI can detect fires within minutes, but autonomous suppression remains out of reach.
A new workflow moves MuJoCo models to GPU-accelerated parallel environments, scaling to thousands of simulated worlds.
Google's immersive video-call technology reports internal gains in connection and meeting efficiency as it launches in new markets.
A profile of NVIDIA validation engineer Sakeena Fiza reveals how AI hardware reliability depends on engineers who deliberately try to break systems before customers do.
OpenAI's expanded Academy now offers learning paths tailored to five audience groups, focusing on practical AI skill-building.
A new server-side memory layer aims to give cloud-based assistants long-term context while keeping decryption keys on users' devices.
Latent Space reports that Xiaomi's MiMo-V2.6-Pro 1T-A42B is now the leading open-weights model, trained for $3 million.
OpenAI reports that Parallel's agents using GPT-6 Astra halved both time and cost for labor-market research and synthesis.
OpenAI's improved prompt caching for GPT-6 promises higher cache hit rates, lower costs, and new tools for developers to monitor and optimize cache performance.
In a Latent Space podcast, Google researcher John Platt describes an “auto-Kaggle” system that turns scientific problems into score-maximization tasks and has already produced at least ten papers.
A new collaboration focuses on standardising evaluation practices so benchmark results can be trusted and repeated.