Meta Expands AI Features To Enhance Facebook Search And Discovery

Transforming The Way People Search

Meta is expanding the role of artificial intelligence across Facebook with the introduction of AI Mode, a feature designed to change how users search for information on the platform.

Powered by Meta AI, the tool draws on content from public posts, groups and Reels to provide direct responses to queries written in natural language. Instead of browsing through lists of search results, users receive summarized answers based on ongoing discussions and publicly available content.

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New AI Features And Emerging Questions

Introduction of AI Mode follows Meta’s recent launch of Forum, a Reddit-style platform featuring an AI-powered Ask tab. The feature enables users to obtain answers generated from conversations taking place within Facebook groups.

Greater reliance on user-generated content, however, has also prompted questions about the accuracy and reliability of AI-generated responses. Similar concerns have emerged around other AI-powered search tools, including Google’s AI Mode, where the quality and timeliness of synthesized information have come under scrutiny.

Expanding Creative Tools

Artificial intelligence is also playing a larger role in Facebook’s content creation features. New editing tools allow users to apply visual effects such as collage cutouts and video transitions. AI-powered photo presets offer additional customization options, enabling changes to clothing, hairstyles and accessories. Sports fans, for example, can use the “AI Edit” feature within Stories to add their favorite team’s jersey to photos with a single tap.

Strengthening User Engagement

Recent updates form part of Meta’s broader efforts to increase engagement across its platforms. Animated profile pictures were introduced earlier this year, while new AI tools for Facebook Marketplace now automate certain interactions between buyers and sellers. Support for creators has also expanded through the launch of an AI assistant that provides personalized recommendations and insights into audience sentiment. The tool is intended to help creators optimize posting strategies and improve engagement.

Broadening The Ecosystem

Artificial intelligence has become a central element of Meta’s wider platform strategy. Subscription offerings spanning Facebook, Instagram and WhatsApp, beginning at $3.99 per month, represent another step toward building a more integrated ecosystem while creating additional sources of revenue.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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