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Meta releases Muse Spark open-source model with Apple partnership enabling local inference.

Newton-based bilevel optimization methods for hyperparameter tuning and meta-learning without lower-level strong convexity assumptions.

ProteinGeoBench reveals frontier agents retrieve protein metadata reliably but fail at geometric reasoning on 131 structural-biology tasks.

SOMA uses System One models as metacognitive monitors for reasoning tasks, enabling real-time intervention without fine-tuning.

Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach. 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 agents do the domain reasoning. We’re sharing our own [...] Read More... The post The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do appeared first on Engineering at Meta.

A Meta spokesperson insisted that the updated terms did not reflect a change in the way Meta crawls the web.

Meta-post anticipating API usage quota reset.

MetaSkill framework enables composable agent skills by formalizing coordination at skill boundaries while keeping task logic in natural language, using DAG execution.

Autonomous agents are the hottest thing in AI. OpenAI, Meta, Google, Instinct, and others promise their agents can scour the internet on your behalf, doing anything from booking a dinner reservation and cleaning out your inbox to buying new shoes. But what happens when the rest of the internet won't play nice? In recent weeks, users of services like Meta's Muse, xAI's Grok, OpenAI's Dots, and Instinct have reported blocks preventing their AI agents from performing tasks across top websites. Yelp told TechCrunch that it only allows AI agents that pay for its data licensing program, while Delta...

Meta-discussion of API usage complaints on social media during product update.

Meta “streamlined” its commercial TOS. Legal experts warn it’s an AI power grab.

Meta's new terms appear to give it permission to crawl and scrape websites "associated" with the businesses that use its platforms - including online publishers, according to a report from Nieman Lab. The new terms, which go into effect on October 30th, say Meta can use this outside content to "develop, improve, research," and "train" its AI products. The new policy applies to business accounts that promote their content across Facebook, Instagram, WhatsApp, and Messenger. As pointed out by Nieman Lab, these terms seem to allow Meta to bypass a licensing agreement and train its AI models on c...

The new Muse Spark Open AI model can work on M5 Ultra Mac Studios. | Photo: Amelia Holowaty Krales / The Verge Meta announced the Muse Spark Open AI model today, claiming that it's the "most capable US open-weight model to date." But the company also says that it's the "the first model in its class" that can "run on your desktop using two Apple M5 Ultra Mac Studios with the latest MLX framework." Meta and Apple, typically rivals, worked together on the launch and are publicly supporting each other. "Muse Spark Open - weights releasing today - runs great on new Mac Studios thanks to work with ...

Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on... Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on NVIDIA GB300 NVL72 Blackwell Ultra specifically for agentic coding workflows, it delivers higher first attempt accuracy, reliable tool calling, and deep codebase understanding across repositories. The 1M token context window holds an entire… Source

Meta details hardware-model co-design principles for optimizing AI training on AMD GPUs and MTIA accelerators versus NVIDIA baseline.

There's a growing trend in the consumer tech world: gadgets designed to spy on everything and everyone around you, regardless of whether or not anyone else actually consented to it. Now, with the advent of "AI personal assistants" like Meta's Muse, you're being cheerfully asked not just to give up your own data, but also the information of your friends, family, the person you went on a Hinge date with five years ago - and virtually anyone else you've ever come in contact with. Since Muse was released last month, the agent has already been downloaded millions of times and hit No. 1 on Apple's ...

Proposes pairwise difference learning variant for classification with uncertainty quantification and meta-learning technique.

MetaExp enables LLM agents to learn transferable experience across tasks via scalable cross-task environment feedback.

is now available on AI Gateway. The open-weight reasoning model is designed for coding and agentic workflows, including multi-file refactoring, debugging, and understanding large codebases.Muse Spark Open from Meta Muse Spark Open supports text and image input with a 1M-token context window, allowing agents to work with code and screenshots in the same request. It is available with and no training, without creating separate provider accounts.ZDR Use as the model name across all API formats and coding agents. The model is available across the , the OpenAI-compatible and APIs, the , and connect...

Last week, Anthropic and OpenAI looked like they had the AI race to themselves, pulling ahead with increasingly powerful models that left their rivals in the dust. Google seemed hopelessly far behind, while Meta, despite spending billions to revive its floundering AI ambitions, had yet to establish itself as a serious contender. Even the latest models coming out of China, impressive as they were, appeared to be playing catch-up. Then, in the space of a few days, everything changed. Google and Meta both unveiled frontier models they claim can go toe to toe with the best from OpenAI and Anthrop...

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. For the past 100 days or so, my mornings have had a new rhythm. When I wake up, the first thing I have to do is feed my digital twin. It consumes my metabolic data, and its first "meal" of the day is my body composition data, sent straight from a smart scale. Once that's logged in the app, I scoot over to the kitchen to fill an Owala with lemon water to take my medications with. T...

LAGO meta-agent framework treats specialized agents as reusable options; resolves 58.6% of SWE-bench tasks with frozen Qwen3.5-35B.

Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in their feeds. Meta announced the launch of its new AI-powered feature, “Your Algorithm,” on Tuesday, a feature it first launched on Instagram. The new tool allows Facebook users to influence the content they see in […]

The other day I whizzed past several people while running in the park, my playlist blasting at full volume. The next morning, I smiled at a barista while ordering a caramel apple-flavored matcha latte. Afterward, I sat on a park bench reading a book, called up a pal to chat about her recent trip to Prague, and then asked my Ray-Ban Meta Audio glasses what meetings were coming up on my calendar. The chipper AI voice said I hadn't connected my Google Calendar yet (I had) and asked if I would like help connecting. I sighed and then asked it to play an upbeat song. It picked Kendrick Lamar's "Not...

Physical Recursive Self-Improvement framework enables robots to autonomously update capabilities and meta-level strategies across tasks despite noisy observations.

Facebook's new "Your Algorithm" feature will let you directly add and manage topics you want to see in your feed and Facebook Reels. Meta says your recommendations "respond right away" after you make updates using the new feature by hitting "interested" or "not interested" for different topics. Your Algorithm previously launched on Instagram earlier this year, and Meta also launched a similar "Dear Algo" feature on Threads. Facebook users will be able to access Your Algorithm or select "interested" or "not interested" from the three dots menu on individual posts. The "interested" and "not int...

LLM agents fail to load relevant skills at scale: implicit routing over skill metadata causes skill-load recall to collapse from 73.6% to 27.4% with 1,000 irrelevant skills.

Graph Metanetworks extends weight-space learning to transformers by accounting for attention-induced continuous symmetries beyond neuron permutations.