Meta AI

Meta AI on Beyond Market Intelligence: a running collection of 7 stories we have gathered and hand-picked because they are worth your time. Every post here touches on meta ai in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around meta ai, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?
VentureBeat

Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?

Meta's entry into the real-time speech-to-text arena with Muse Voice Transcribe is generating significant buzz, particularly due to its compelling price point: just $0.18 per hour. This new audio perception model combines streaming transcription, diarization for 20+ speakers, and other key features within a single, accessible API. While not a record-breaking speaker count, Muse’s combination of high-capacity real-time diarization, low latency, and aggressive pricing offers a transformative solution for developers building meeting systems and AI-powered applications.

Meta AI’s new Mac app wants you to talk to your apps
TechCrunch

Meta AI’s new Mac app wants you to talk to your apps

Meta AI is expanding its suite of tools with a new Mac app designed to streamline your digital workflow. This innovative application allows users to interact with all their apps through voice commands, mirroring the functionality of tools like Wispr Flow and Superwhisper. It’s a future-focused approach to data management, empowering users to navigate their digital environment with unprecedented ease. For those interested in the broader impact of AI on content creation, our recent article on AI authorship provides further insight.

Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution
InfoQ

Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution

Meta AI Research has unveiled Muse Glimmer, a significant advancement in on-device AI. This 30-billion-parameter, open-weight model, released under the Apache 2.0 license, empowers autonomous agents and complex task execution directly on consumer GPUs—eliminating the need for cloud dependencies. Utilizing a multi-stage training process, Glimmer delivers efficient performance and supports multimodal inputs, streamlining coding and automation. Explore this future-focused solution, and discover how it transforms local workflows; for broader context on enterprise AI initiatives, see our related article on IBM’s partnership with OpenAI.

Mark Zuckerberg’s AI manifesto is exactly why people don’t like AI
TechCrunch

Mark Zuckerberg’s AI manifesto is exactly why people don’t like AI

Mark Zuckerberg’s recent 6,500-word manifesto outlining Meta AI’s vision for "personal superintelligence" highlights a growing disconnect between AI ambition and public perception. While ambitious, the sheer scale and focus on advanced capabilities reinforce concerns about AI's potential impact. This isn't about a lack of technological prowess; it’s about a lack of relatable utility. For a deeper look at how AI is addressing immediate challenges, explore our coverage of OpenAI’s Daybreak cybersecurity model. Ultimately, Zuckerberg’s document underscores why many remain wary of AI's trajectory.

Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents
VentureBeat

Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents

Meta enters the AI coding arena with a compelling one-two punch: Muse Code, a terminal-based AI coding agent in beta, and Muse Spark 1.2, a coding-focused update to its frontier models. This marks Meta’s most serious foray into a space dominated by Anthropic and OpenAI, offering persistent background agents and a unique audit trail for enhanced productivity.

Mark Zuckerberg predicts that billions of people will have personal AI agents in five years
TechCrunch

Mark Zuckerberg predicts that billions of people will have personal AI agents in five years

Mark Zuckerberg recently projected that within five years, billions will possess personal AI agents, signaling a significant shift in how we interact with technology. This ambitious forecast arrives as Meta invests heavily in AI infrastructure and agent development, aiming to demonstrate substantial returns on that investment. The future envisions AI seamlessly integrated into daily life, streamlining tasks and enhancing productivity.

Threads users can now chat with Meta AI in their DMs
TechCrunch

Threads users can now chat with Meta AI in their DMs

Threads users now have direct access to Meta AI within their DMs, streamlining interaction with the AI assistant. This integration offers a convenient way to leverage AI for quick questions and information retrieval within the platform. Meta’s move reflects a broader trend of AI integration across social media, as seen with Bluesky’s Attie expanding into social research tools. Explore this evolving landscape and discover how AI is transforming communication and information access.