AI Briefing#meta
The latest AI and developer news about #meta, with the original source and a short summary.
The latest AI and developer news about #meta, with the original source and a short summary.
The feature, previously limited to early adopters, is available to anyone on Muse's $20/month or $100/month plans.
Built by contrastively fine-tuning meta-models/Muse-Glimmer-30B, the model supports arbitrarily large candidate sets through ANN indexing.
The carrier cites risks of data exposure, unauthorized mile usage, and regulatory issues with automated check-ins.
The system uses a Resource Core Model with 6B sparse parameters to predict marginal utility, directing compute to high-impact requests across a heterogeneous fleet.
The agent reached 10 million U.S. App Store downloads within 40 days of launch, joining only 11 other apps to hit that milestone.
The system uses LLMs to validate user-stated interests and apply them responsively to ranking and delivery, balancing new content visibility with existing engagement.
The Triton Low-Level Extensions (TLX) framework enables explicit warp-group orchestration, delivering up to 2x forward speedup in GDPA kernels and reducing RecSys inference latency by up to two-thirds.
Priced at $0.10 per million input tokens, the model targets high-volume agent workloads like tool calls and coding subtasks.
The model supports text, image, and video inputs with adjustable reasoning effort and is accessible via AI SDK, Chat Completions, Responses, and Anthropic Messages APIs.
Tom Mann explains that research engineering involves building reliable infrastructure for recursive self-improvement agents, with 90% of time spent on code and 10% on ideation.
Specialized versions trained on consumer behaviors replace general-purpose variants for non-subscribers starting November 8.
Users can create interactive spaces like gift trackers or planners that auto-update from connected apps and are available everywhere Muse is.
The feature is available on mobile, web, and Mac in the US, with AI Glasses and Muse Charm support coming soon.
Conductor Cloud will go read-only on November 13 and shut down on November 20, while the local version receives updates until early 2027.
The system preserves F3's shared computation efficiency while allowing independent feature validation and rollback.
Deposition testimony reveals a former Meta researcher downloaded the pirated Books3 dataset, contradicting Meta's earlier claim that it did not obtain the data via BitTorrent.
The reconstructed document defines Muse as a personal superintelligence with a priority hierarchy placing corrigibility above fiduciary duties to users.
The system achieved a 60% true-positive rate and engaged 589 engineers through a human-on-the-loop workflow.
Meta has released the RecIR compiler in alpha version, enabling PyTorch recommendation models to be trained on both GPUs and TPUs.
The new architecture uses a Mixture-of-Experts model and fused GPU kernels to deliver near-ranking-level performance at 300x fewer FLOPs than the 2024 system.
The app, launched on iOS and Android in the Philippines, lets users hatch a virtual pet that listens to voice or text entries and writes journal notes with doodles.
The open-source repository includes a closed-loop simulator with 44 environments and a 120-task benchmark that evaluates models based on final world state rather than text.
The library separates system integration from privacy modules, reducing new requirement implementation from months to days while supporting AI agent controls.
Nvidia and Meta are expanding their partnership to deploy Vera Rubin infrastructure for next-generation AI agents.