How to stop Meta’s AI image generator from using your Instagram photos
Meta's new AI image generator is using your public Instagram photos unless you opt out. Here's how to do that.
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Meta's new AI image generator is using your public Instagram photos unless you opt out. Here's how to do that.
In its bid to spend less on GPUs from providers like Nvidia, Meta is on track to start making its the latest versions of its AI-specific chips in September.
Meta releases Muse Spark 1.1 with API access and improved agentic tool calling and computer use capabilities.
llm-meta-ai 0.1 released, enabling CLI access to Meta's muse-spark-1.1 model via Simon Willison's llm tool.
After reentering the AI race with its first in-house Muse Spark model in April, Meta is now opening up the doors to developers with a new model that can plug into AI coding software with the new Meta Model API. Meta says that Muse Spark 1.1 is a "step-change" from the first…
Stratechery analysis: verifiable data infrastructure emerging as competitive differentiator across Meta, Grok, and frontier AI labs.
Meta releases Muse Spark 1.1, an update to its text-to-image generation model with unspecified improvements.
Meta is adding a new safeguard to stop people from secretly recording others with its AI glasses. But the update comes as the company continues to expand how much personal data its AI products collect and use.
Lilian Weng summarizes 35 papers on harness engineering for RSI; meta-analysis of recent research without new findings.
The new image-generating model has numerous use cases, including advertising, decorating and creator-based opportunities.
Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, Instagram, and WhatsApp, and it's coming soon to Facebook and Messenger, according to an…
Proposes native meta-architecture embedding application-layer cognitive protocols via structural tension loss function for stateful LLM behavior.
The AirGo A6 are available in multiple designs including several transparent color options. | Image: Solos Solos announced a new version of its AirGo smart glasses, one that forgoes cameras for a sleeker design and an AI assistant that relies on voice interactions. Last year's…
Canopy heterogeneous graph foundation model integrating 6.9M biotech nodes for metabolic engineering strain design.
Stratechery proposes talking points for Zuckerberg's earnings call; commentary on Meta's AI and metaverse strategy.
Meta releases Muse Image and Muse Video, generative models for instruction-following image creation, editing, and video synthesis with native audio.
HeRo enables selective disclosure watermarking in LLMs, allowing verification of watermark subsets without exposing full embedded metadata.
MetaSkill-Evolve enables recursive self-improvement of LLM agents; agents rewrite and evolve their own improvement procedures from execution traces.
I’m just doing my job, but turns out, it feels lousy holding other people’s privacy in your hands. I've long argued that Hollywood has simultaneously set and ruined our expectations for smart glasses. But after binge-watching two seasons of Netflix's A Man on the Inside, this…
At an internal meeting, the Meta CEO reportedly said that AI development efforts were not moving as quickly as anticipated.
Meta has quietly launched Pocket, an experimental AI app that lets users generate and share interactive mini games using text prompts.
Constraint programming and scheduling method optimizes resource utilization in autonomous labs for metal-organic framework synthesis experiments.
DiscoPER framework enables open-ended autonomous scientific discovery via iterative meta-reflection and cross-finding synthesis in LLM agents.
Meta is developing plans for a cloud infrastructure business, selling access to AI compute power and models. The move would pit it against the big cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure.
Proposes GMHF framework combining meta-learning with human feedback to guide synthetic data generation for domain adaptation.
RL with metacognitive feedback trains LLMs to accurately express uncertainty and improve performance through self-monitoring.
Prediction-error surprise signal for plasticity and metacognition in continual learning; 17.7-point retention gain on frozen encoders.
Field order in serialized structured metadata silently impacts retrieval quality; proposes permutation-invariant fine-tuning to decouple field order from embeddings.
UKRI metascience project compares GPT-4o, Mistral, and DSIT-Taxonomies for research entity extraction from 42 funding proposal abstracts.
Current multimodal fusion approaches, particularly those based on static Mixture-of-Experts (MoE) architectures, often struggle to provide the adaptive and efficient collaborative reasoning required by complex real-world applications. We introduce the Dynamic Agent-based…