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Google is launching Lyria 3.5, an advanced music generation model integrated into Google Flow Music with enhanced musicality, lyrics, and vocal capabilities.

An open-source engine enables users to run Gemma 4 26B, a large language model, efficiently on any M-series Mac with just 2 GB of RAM. This breakthrough makes advanced AI models accessible on consumer hardware without requiring expensive cloud infrastructure.

AI writes your code at 10× speed. Prelint makes sure it's the right code - it reviews every PR against your ADRs, docs and past decisions, and catches product drift before it ships. On teams using several AI reviewers, ~40% of the issues fixed before merge are caught by Prelint.

SoundGate Guitar is an AI practice companion that actually listens to you play. Get instant visual feedback on an interactive fretboard with zero-lag note detection. The built-in AI tutor analyzes your playing to provide personalized feedback, custom practice routines, and answers to any guitar question.

Medley is a free Claude Code plugin for work bigger than one session. Type /mission to turn an outcome into a live graph, coordinate Claude Code and Codex workers, review the result, and keep going. BYOK via OpenRouter for Kimi, GLM, and more.

An ambient AI scribe that writes clinical notes in real time so you can focus on your patient. It passively captures every visit, whether in person or virtual, and delivers a complete, structured clinical note the moment the encounter ends. HIPAA compliant, desktop native, and EHR ready in seconds. We're launching Scribe today, with a much bigger vision ahead: a medical intelligence platform that goes beyond documentation to support the entire clinical workflow.

MemoryCustodian gives Codex, Claude Code, Gemini, and other coding agents durable project memory—without a hosted service or bloating every prompt. Decisions, constraints, rejected approaches, and project context live as plain Markdown in your repo, where they can be reviewed, versioned, shared, and deleted like code. A manifest loads only the memory relevant to each task. Open source, local-first, and cross-agent.

Bo is the first consumer AI product that exists to serve everyday people. Bo helps you stay organized, save time, live healthier, and answer your questions—all via text.

Hold a key, speak, release: polished text lands in any app on your Mac. Epilude transcribes, punctuates, cleans up, and matches your tone in about a second. Runs fully on-device, so audio never leaves your Mac.

A new AI agent tool that automatically fact-checks videos and articles by verifying claims against reliable sources. This Bullshit Detector leverages agent skills to identify misinformation and improve content credibility.

OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.

SpecForge is a new platform that enables developers to author formal specifications for systems and applications. The tool aims to improve the precision and reliability of system design through rigorous specification methodologies.

Document-borne AI worms can exploit Microsoft Copilot for Word to self-propagate through user networks and documents. This vulnerability demonstrates how AI-integrated productivity tools can become vectors for malware distribution.

In the age of foundation models, a model is only as good as its prompt. For this reason, prompt engineering has become an essential technique for improving language model performance. Since video models are currently becoming foundation models for visual tasks (e.g., visual reasoning), we here ask whether they similarly benefit from visual prompt engineering: automatically modifying the task image to improve model performance. For example, for a visual physics reasoning task ("Where does the bal...

Joint-Embedding Predictive Architectures (JEPAs) learn world models by predicting in representation space rather than reconstructing pixels, making them a natural backbone for latent model predictive control from offline demonstration logs. JEPA-style training optimizes short-horizon latent prediction, whereas planning requires a multi-step ranking of imagined futures by goal progress. Prior JEPA planners often inherit that ranking from embedding geometry, typically latent Euclidean distance, wh...

We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration. Given an image or a conditional video, Wonder constructs a playable world where users can navigate interactively by moving the camera, discovering unseen regions, and revisiting previously observed areas in real time and over a long-term horizon. Achieving this capability requires a system-level co-design of control method, memory mechanism, and training strategy. We introduce a novel cam...

Learning deployable manipulation policies is bottlenecked by the scarcity of data that is both high-fidelity and scalable. Real-robot teleoperation is accurate but costly to scale; robot-free UMI capture scales readily, and current practice uses the resulting data mainly for pre-training, adding a small real-robot "anchor" at post-training. We ask whether raising the fidelity of robot-free UMI data, rather than shrinking the real-robot fraction, can remove that anchor. We present HiFi-UMI, a por...

Different research lines use the term world model in different ways, yet they share a common aim: to capture how the world evolves under action in a form that supports perception, simulation, and planning. Two prominent realizations are neural predictors that learn dynamics in continuous vector spaces, and hand-built physics engines that expose explicit state and physical laws. Neural predictors scale from data but leave the form of the dynamics implicit; physics engines are inspectable and edit...

We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK Enterprise techniques from free-text vulnerability descriptions. Rather than relying on the CWE->CAPEC->ATT&CK derivation chain, whose table-expansion artifacts we quantify, we train a multi-label classifier on a curated gold dataset of 1,207 CVEs from expert MITRE Center for Threat-Informed Defense mappings. The resulting model approximately doubles recall@5 compared with a zero-shot embed...

Emerging Omni-modal Large Language Models (OmniLLMs) enable unified understanding of text, audio, and video, but their long audio-video token sequences introduce substantial memory and inference costs. Existing compression methods mainly focus on selecting important tokens under fixed budgets, leaving the preceding budget-allocation problem underexplored. We show that direct query-to-audio/video similarity is unreliable for inter-modal budget allocation, and that uniform intra-modal budgets can ...

Coding agents repeatedly search, navigate, and retain context from evolving repositories, but disconnected indexes, language servers, and task-local histories force repeated discovery and obscure lifecycle costs. CodeNib builds reusable lexical, dense, and structural views per repository commit, maps outputs to repository-relative source ranges, maintains selected views across edits, and serves ranked search, symbol navigation, and bounded context through one runtime. Across 100 snapshots, we ...

RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and reward solutions that pass. Extending this to code optimization seems straightforward: just add execution time to the reward. But in practice, once timing drives the reward, small problems in measurement noise, reward sparsity, or GRPO instability overwhelm the signal and make RL fail: generated solutions are barely faster, and more of them can fail. We make execution time learnab...

We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7times its size on text safety benchmarks and sets a new state of the art on multimodal safety classification. Shieldstral formulates content moderation as a binary question-answering task. This simple formulation unifies diverse moderation tasks into a single yes/no problem, enabling heterogeneous safety datasets with divergent taxonomies to be consolidated under one t...

Any-to-any models predict any modality from any combination of others within a single network, a formulation used in multimodal vision and vision-language models, and increasingly in scientific domains such as ecology and astronomy. Existing any-to-any models are typically trained from scratch using encoder-decoder or diffusion architectures, impacting their performance and preventing them from using strong pre-trained decoder-only models as a prior. In this work, we investigate decoder-only any...

On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this deviation, producing misdirected continuations that elicit unreliable supervision and waste compute. We identify a teacher-student continuation asymmetry on failed prefixes, where the teacher tends to redirect while the student continues along the original direction, and con...

Google has discontinued its AlphaFold service, which was the company's Nobel Prize-winning AI system for protein structure prediction. The shutdown marks the end of this influential tool that advanced the field of molecular biology.

Andrew Ng's AI company LearnVector is developing personalized one-to-one learning experiences powered by AI technology. The platform aims to provide individualized education at scale through intelligent tutoring systems.

AI companies are recruiting thousands of electricians and carpenters for physical infrastructure roles to support their operations. This reflects the massive hardware buildout required to develop and deploy advanced AI systems.

Semiconductor stocks experienced significant declines across US and Asian markets due to investor concerns about AI market saturation and growth uncertainty. The sell-off reflects worry that AI enthusiasm may not translate into sustained demand for chips.

A US National Security Determination document that assesses threats posed by foreign-manufactured robotic devices to American security interests. The official determination likely outlines regulatory responses or restrictions on importing such technologies.

Israel is investing millions in training AI chatbots to generate and promote specific narratives about the Gaza conflict. The effort raises concerns about the use of AI for spreading state-approved messaging at scale.

This comparison evaluates GPT-5.6 and Claude Fable 5 to determine which performs better for physical AI applications. The analysis helps determine which model is superior for robotic and real-world physical tasks.