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Model releases and improvements across AI agents, AI evaluation, text-to-speech, audio, and video. Explore local models, GitHub projects, and cloud services—with concise summaries and links to the original source.
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Track model capabilities, quality improvements, and agent workflows, evaluation methods, and new ways to create with voice, audio, and video.
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. - We propose CocoRNA, a cooperative multi-agent reinforcement learning framework for RNA inverse design.
Interactive models increasingly hand complex reasoning and tool use to a slow brain in the background, leaving a realtime front model free to sustain full-duplex dialogue. - Yet the user may refine, cancel or replace a request while its task runs, so a plan or result that made sense a moment ago goes stale.
Video world models that generate and explore environments at scale need a persistent 3D memory of what they have produced. - Plane primitives offer a natural candidate: a compact set of oriented planes captures the dominant structural elements (e.g., walls, floors, facades) of indoor and outdoor scenes, while requiring only 7 parameters per...
Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. - Here we introduce DrugHarness, an evolvable agent harness coupling composable scientific execution with conditional skill induction.
Speculative decoding has become a mainstream technique for accelerating large language model (LLM) inference by using a lightweight draft model to generate candidate tokens that are subsequently... - However, agentic workloads introduce long and continuously evolving contexts and frequent multi-turn interactions.
Reasoning is central to ReAct-based programming agents, yet whether and how they reason about code remains unclear. - We study 7,955 issue-resolution trajectories from six single- and multi-agent scaffolds across four programming languages on SWE-bench-Verified, SWE-bench-Pro, and SWE-bench-Lite.
Video diffusion models (VDMs) trained on internet-scale data encode a rich prior on appearance, motion, and physics that is difficult to replicate with explicit 3D rendering and costly 3D data... - We introduce Video Diffusion Avatars (VDAs), a method that creates photo-realistic, multi-view consistent avatars from a single image by fine-tuning a VDM for precise control over camera viewpoint, facial expression,...
At Meta, we’ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks, while specialized... - We’re sharing our own [...] Read More...
Recent large audio language models (LALMs) have extended their capabilities beyond lexical speech understanding to tasks requiring paralinguistic and non-linguistic audio understanding, such as... - However, these models still struggle to reliably utilize acoustic information, particularly when it co-occurs with spoken linguistic content.
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. - We propose CocoRNA, a cooperative multi-agent reinforcement learning framework for RNA inverse design.
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Sep 24, 2026
Claude discovers a novel enzyme system with CRISPR-like repeats
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Sep 23, 2026
Gemini 3.8 text-to-speech says hello
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Oct 19, 2026
The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do
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Oct 7, 2026
Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
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Sep 29, 2026
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
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Oct 1, 2026
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Optimizing product listings for generative search requires language agents not only to rewrite effectively but also to continually self-improve by retaining successful strategies across diverse... - However, existing approaches often treat structured listings as free-form text, leaving effective strategies implicit in prompts, search trajectories, or rewritten outputs rather than accumulating them as a reusable...
Interactive models increasingly hand complex reasoning and tool use to a slow brain in the background, leaving a realtime front model free to sustain full-duplex dialogue. - Yet the user may refine, cancel or replace a request while its task runs, so a plan or result that made sense a moment ago goes stale.
A multi-step agent task fails when a single tool it needs is missing, yet the tools an agent may need are too many to list: the roughly 8,200 tools on the platform we study have definitions that... - We present Tool Recommendation, a deployed system that gives an agent all of them, hundreds of times more than a typical MCP server exposes, through a fixed interface of three tools.
Video world models that generate and explore environments at scale need a persistent 3D memory of what they have produced. - Plane primitives offer a natural candidate: a compact set of oriented planes captures the dominant structural elements (e.g., walls, floors, facades) of indoor and outdoor scenes, while requiring only 7 parameters per...
Speculative decoding has become a mainstream technique for accelerating large language model (LLM) inference by using a lightweight draft model to generate candidate tokens that are subsequently... - However, agentic workloads introduce long and continuously evolving contexts and frequent multi-turn interactions.
Reasoning is central to ReAct-based programming agents, yet whether and how they reason about code remains unclear. - We study 7,955 issue-resolution trajectories from six single- and multi-agent scaffolds across four programming languages on SWE-bench-Verified, SWE-bench-Pro, and SWE-bench-Lite.
Video diffusion models (VDMs) trained on internet-scale data encode a rich prior on appearance, motion, and physics that is difficult to replicate with explicit 3D rendering and costly 3D data... - We introduce Video Diffusion Avatars (VDAs), a method that creates photo-realistic, multi-view consistent avatars from a single image by fine-tuning a VDM for precise control over camera viewpoint, facial expression,...
Recent large audio language models (LALMs) have extended their capabilities beyond lexical speech understanding to tasks requiring paralinguistic and non-linguistic audio understanding, such as... - However, these models still struggle to reliably utilize acoustic information, particularly when it co-occurs with spoken linguistic content.
Optimizing product listings for generative search requires language agents not only to rewrite effectively but also to continually self-improve by retaining successful strategies across diverse... - However, existing approaches often treat structured listings as free-form text, leaving effective strategies implicit in prompts, search trajectories, or rewritten outputs rather than accumulating them as a reusable...
