269 summarised stories about Meta, each linking back to the original source. Browse all topics →
MarkTechPost 23 hours ago 46 ● 12 sources
Meta launched Muse Wonder and Muse Wonder Full as its most capable models for long-running personal and professional AI agent work, available via its API and Muse Code.
TechCrunch 1 day ago 10 ● 2 sources
Meta launched “Your Algorithm” on October 13, 2026, giving Facebook users more direct control over the posts shown in Feed and Reels. The feature lets users describe what they want more or less of in their own words and receive real-time changes to recommendations. Meta also updated the three-dot post menu to add “Your Algorithm,” plus “Interested” and “Not interested” options with possible follow-up questions.
The Verge 1 day ago 32
The author describes using Ray-Ban Meta Audio glasses in daily life and relying on the built-in voice assistant instead of having a camera. The assistant offered to connect the author’s Google Calendar and then played Kendrick Lamar’s "Not Like Us" after they asked for an upbeat song. As a result, the glasses’ no-camera setup still supports tasks like calendar prompts and music playback the author regularly uses.
The Verge 1 day ago 43 ● 2 sources
Facebook is rolling out its “Your Algorithm” feature so users can add and manage the topics they want in their News Feed and Reels using AI-driven recommendations. Updates take effect immediately after you mark topics as “interested” or “not interested.” Meta is expanding a feature it previously launched on Instagram and rolling out a similar control on Facebook.
Ben's Bites 1 day ago 39
Ben’s Bites argues that personal AI agents help people replace many SaaS tools and treat software creation as customising tasks that bots handle headlessly. It cites a saved $6k/year by using Grok Bot to review and cancel subscriptions. The story shifts focus from debates about whether software is dead to more AI subscriptions and agent tooling, including Meta’s Wonder and Wonder Full models and other agent product updates.
Cheeky Pint 1 day ago 22 ● 2 sources
Meta’s Mark Zuckerberg and Alexandr Wang discussed Meta’s Muse Wonder launch and the future of personal AI agents in a podcast interview. They described a $100B+ CapEx commitment made before knowing whether the model would work. As a result, Meta created Meta Superintelligence Labs, did a talent reboot, and built an end-to-end focus on multimodal, agentic systems for use cases like agentic commerce and smart-glasses-style hardware.
TLDR 1 day ago 7 ● 12 sources
Meta launched Muse Wonder and Muse Wonder Full as AI agent models in its product lineup. Muse Wonder Full is available only to Muse Code subscribers. Meta’s offerings add Active Memory to carry personal context and Active Focus to stay on task by trying alternatives, handling blockers, and requesting clarification.
DEV Community 1 day ago 10
Meta’s Muse Wonder agent ran Pokémon Red on launch day and failed to beat Brock, getting stuck in Viridian Forest after beginning the forest on turn 208. The run cost $96.06 after about 792 turns (roughly 6 hours) without clearing the first gym. The result shifts attention from benchmark wins to real-world reliability and highlights pricing gaps versus smaller, cheaper model runs that completed the gym.
Meta AI Research 1 day ago 33 ● 12 sources
Meta introduced the Muse Wonder model series—Muse Wonder and Muse Wonder Full—combining Active Memory and Active Focus for agent-style personal and professional tasks. The company says Muse Wonder and Muse Wonder Full were trained at its gigawatt-scale Prometheus data center and are available through the Meta Model API today. The rollout adds new capabilities for memory-, focus-, and coding-heavy agent workflows, plus artifact generation and subscriber-first access to Muse-powered experiences.
Latent Space 1 day ago 20 ● 12 sources
Meta’s Superintelligence Labs shipped the Muse Wonder model family, including Muse Wonder and the higher-tier Muse Wonder Full. Muse Wonder Full is priced at $4 per 1M input tokens and is available to Muse Code subscribers. Muse Code’s quotas were temporarily drained due to a usage-limit bug (fixed the same day with a reset), and third-party evaluations report Wonder Full outperforming the prior Muse Spark model on multiple benchmarks.
Trending Topics 1 day ago 34 ● 12 sources
Artificial Analysis benchmarked Meta’s Muse Wonder and Muse Wonder Full against other top models and found Muse Wonder Full slightly ahead of Anthropic’s Claude Fable 5.1 on the Intelligence Index. Muse Wonder Full scored 56 points, while Muse Wonder scored 52. Meta’s models are positioned as better at agent-style tasks and have lower hallucination rates, but Muse Wonder’s higher per-token pricing (including a higher cost than its predecessor) offsets some of the value.
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14 October 2026
AI is getting stress-tested in the places where outcomes are hard to ignore. Anthropic updated Claude’s election safeguards ahead of the 2026 US midterms after analyzing 250,000 US Claude.ai conversations over one week: elections or voting surfaced in about 0.51% of chats, while direct “whom or what to vote for” requests showed up in roughly 0.01%. Claude will now pull state-specific official voting details from Democracy Works and surface up-to-date results on election night, while Anthropic tightens bias testing and misuse classifiers to curb political abuse.
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