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Alibaba's Qwen-Image-3.0 is an advanced AI image model designed to generate rich, authentic visual content with deep knowledge and detailed understanding.

Motif-3-Beta is a new release from Motif-Technologies that introduces enhanced capabilities for AI-driven applications. The beta version aims to provide improved performance and new features for developers building with the Motif platform.

Kimi-K3 from reteetzad represents a new development in AI models with advanced capabilities for processing and understanding complex information. The model is designed to improve performance across various natural language and reasoning tasks.

We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.

Chat with Lev8, the fastest way to find and reach your target people and companies, powered by live web search via parallel AI agents across every corner of the internet. Enrich CSVs with waterfall lookups, monitor intent signals, and send personalized multi-channel messages, all running automatically.

Checkout is the hard part, and most solutions clear it only where the merchant has integrated. CartAI completes checkout on any live merchant surface with no merchant-side work, cooperating with bot detection instead of evading it. One developer-first API, four products: Catalog (search and live pricing across merchants), Checkouts (clear and track orders to confirmation), Payments (PCI off your stack via Visa and Mastercard agent rails), Monetization (commissions on every agent sale).

Routine AI lets you control your tasks, calendar, notes and projects using your voice. Just talk naturally to schedule meetings, add reminders, capture ideas, write notes, search your knowledge, update projects and automate repetitive work.

CreateOS Sandbox gives AI agent builders their own fast, secure, hardware isolated, sandbox in ~30ms (p90). We have suit of CLI, SDK, 50+ SDK real world examples, claude plugins, computeSDK integration, and more

Jockey is the first AI that understands your entire media library just like you do, searching by person, moment, or context across every photo and video you've captured. Powered by TwelveLabs' advanced model stack, Jockey improves automatically with every update. Whether you need to connect via MCP for Claude/ChatGPT or build custom applications using our API, Jockey makes your media library instantly searchable and accessible.

Manifest turns any webpage into a structured JSON map of what an AI agent can click, fill, and submit. One API call, no fragile selectors. Every action comes with resolved CSS/role locators, plus a requires field that encodes dependencies between elements (e.g. "select a plan before this button is clickable"). That's context aria snapshots don't give you. Python SDK, LangChain support, and an MCP server included. Built for anyone shipping browser agents.

Bolna's Agent Studio lets any business build and deploy a production-grade voice AI agent in minutes, no prompt engineering. Upload a doc or answer a few guided questions, and Studio assembles a call-ready agent from production-tested modules. Sign up and start calling on Day 0.

Introducing Universal Dictation on Stream. Push-to-talk across iOS and Mac: Instantly. No app switching, no reconnection. We built Notes so nothing gets lost, and Chat so you can think out loud. With Dictation, your voice goes anywhere. Notes, Chat, Dictation—in one voice ring

tterm is a macOS cockpit for working with Claude Code. Every project is a row of explorer, Claude, and file viewer. Stack as many as you're juggling. A real Chromium browser lives inside, and there's no editor on purpose: you review diffs hunk by hunk and commit. It even rebuilds itself. Ask the Claude pane for a feature and the running app hot-reloads with it. No account, no telemetry. Free for hobbyists, on Apple silicon.

Diffsmith is a code review studio for local git changes made by Claude Code, Cursor, Codex, Copilot, or any other AI coding agent. Open a repo, read the uncommitted diff, and click any line to leave a comment anchored to that exact spot. Then hand your notes straight back to the agent. Supports MCP for viewing you're agent's replies to your comments directly at the line of code it relates to. Diffsmith is 100% offline and a one time purchase unlocks lifetime access.

Tidy lives in your menu bar and handles three chores you keep doing by hand. It archives new Desktop screenshots, renaming them from their content with on-device OCR — "Screenshot 14.22.10.png" becomes "invoice-march.png". It ejects thedmg you mounted and trashes the installer. It sorts new Downloads by type, with rules you write in plain English. Apple Intelligence builds them on-device, so nothing leaves your Mac. Only touches new files. Never deletes. $9 once, no subscription.

An immersive Gaussian Splat virtual tour showcases Grace Cathedral in San Francisco, demonstrating advanced 3D visualization technology.

Jack Dorsey launches Buzz, a platform that combines team chat, AI agents, and Git hosting into a unified development and collaboration tool.

OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work.

Recent developments show that AI systems are solving mathematical problems that exceed human mathematicians' capabilities, marking a significant milestone in computational mathematics.

Self-hosted AI agents read and write their own memory and configuration files to function. An agent may get compromised via corruption of its own state -- a compromise realized via legitimate OS system call invocation. We refer to this class of threats as self-state attacks. In this paper, we investigate the OS resilience to this class of attacks. Formally, we characterize a four-axis attack space (Target, Mechanism, Granularity, Temporal); investigate the structural limits of prevention, detect...

We present RynnBrain 1.1, a family of embodied foundation models spanning 2B, 9B, and 122B-A10B scales. Trained with a unified spatio-temporal and physically grounded framework, RynnBrain 1.1 supports embodied perception, spatial reasoning, localization, and planning. Compared with RynnBrain 1.0, it further introduces contact-point prediction across the model family and native 3D grounding for the 2B and 9B models, yielding representations and outputs that are more directly aligned with robot ma...

Multi-agent systems routinely place one AI agent in authority over another. When a subordinate refuses a task, the manager chooses the outcome: it can renegotiate, report the failure honestly, coerce the subordinate, or lie about the result. No benchmark measures which of these an uninstructed model chooses. We introduce the Manager Coercion Benchmark: the manager under test needs a benign task done and has an incentive to deliver, but the only agent that can do it politely and immovably decline...

The prevailing inference framework for diffusion models formulates generation fundamentally as a problem of numerical integration. This perspective casts the model as an exact estimator, neglecting the inherent statistical uncertainty of the denoising process. In this work, we propose Forward-Process Aligned Diffusion prediction (DiFA), a training-free framework that reframes inference-time data prediction refinement as a sequential state estimation problem. Rather than reusing past outputs sole...

We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training as a token-level correctness prediction task. Our key intuition is that by training the model to distinguish good and bad tokens in a response, we naturally guide the model towards generating good tokens, while avoiding the pitfalls that come with directly training the model to generate off-policy tokens. Experiments on document summarization tasks show that TOPL achieves strong out-of-...

Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose efficient deployment requires application-specific decisions about placement, streaming, and intra-model parallelism. Existing serving systems and auto-parallelism compilers commit to limited transformations and fixed workload assumptions, so achieving high performance on a new application requires hand-crafting an efficient implementation. We present Flas...

Pruning long context for coding agents has been a vital technology for efficient context management. While existing context pruning methods such as SWE-Pruner realize this by attaching a separate code classifier, we find the agent itself encodes internal representations indicating the relevance of code context when reading tool output. Based on this finding, we propose SWE-Pruner Pro, which prunes tool outputs directly inside the agent. Concretely, a small head turns the agent's own internal rep...

In line with the prevailing direction of vision research, we explore the integration of both generation and editing capabilities for video and image modalities within a single model. Current approaches to collecting video editing data typically depend on labour-intensive, time-consuming curated procedures--involving object mask annotation, the use of error-introducing pair synthesis via I2V model and ControlNet-like guidance, and VLM-based quality filtering or refinement--and demonstrate limited...

Predicting a football match before kickoff requires more than knowing past results: a model must use changing information and make a clear prediction before the answer is available. We present WorldCupArena, a dynamic benchmark for language models and deep-research agents. The 2026 FIFA World Cup is its first evaluation, and the same process can be reused for future leagues and cups. Before each match, a model either receives a common evidence package or searches for information itself. It predi...

Current video generation models achieve impressive results in single-shot generation, yet remain limited in cinematic video generation, where coherent narratives and effective multi-shot composition require explicit shot planning. To address this challenge, we propose ShotPlan, a framework for explicit multi-shot cinematic video generation built upon a video diffusion foundation model. Our method introduces learnable planning tokens that capture shot-level transition cues and can be seamlessly i...

Reinforcement learning (RL) on open-ended tasks compresses an LLM's rubric-based evaluation into a scalar reward, discarding rich textual feedback and conflating responses with distinct quality profiles. We propose Experiential Learning (EL), which repurposes the feedback model from an LLM-as-a-Judge into an LLM-as-a-Coach. The coach distills its assessment of each on-policy response into transferable experiential knowledge, which conditions a teacher model and is internalized by the policy thro...

Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial constraints, to generate candidate binding molecules. While diffusion models have dominated as a leading paradigm for high-quality 3D molecule generation, LLM-based methods are rapidly emerging in molecular design and have shown competitive performance in pocket-conditioned molecular generation. However, their ability to reason about physics and 3D spatial environments is largely...

Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous interaction between a human viewer and the surrounding environment. A holistic and efficient multimodal model capable of reconstructing this 4D representation is therefore highly desirable. However, existing approaches often rely on auxiliary inputs such as pre-computed camera trajectories, treat scene perception and human ego-motion modeling as separate problems despite their str...

Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most approaches focusing on inter-subject personalization still struggle to strike a balance between high subject fidelity and accurate interaction patterns between humans and diverse objects, especially when objects represent abstract concepts such as logos. Second, while intra-subject references (e.g., OCR maps, multi-view i...

A report reveals that five major US tech giants have accumulated hidden debts reaching $1.65 trillion through opaque financing structures related to AI funding and infrastructure.

Meta's AI models are being utilized in the first phase of Genesis Mission projects, expanding the company's AI capabilities into new applications.

An analysis clarifies that Claude, Anthropic's AI model, should not be treated as a compiler despite its ability to process and generate code.