Meta Adds Camera Safeguard to AI Glasses Amid Ongoing Privacy Concerns Over AI Data Practices

The post Meta (META) Stock Surges $50 Following Neocloud Strategy Announcement appeared on BitcoinEthereumNews.com. Key Takeaways Meta Platforms is launching a neocloud initiative to commercialize computing capacity and generate revenue from its extensive data center infrastructure. Shares have climbed approximately $50 following the neocloud strategy reveal. Wolfe Research maintains an Outperform rating with an $800 price objective; META shares currently sit at roughly $605.72. Wolfe Research has increased its fiscal 2027 capital expenditure projection for Meta to $220 billion, significantly exceeding Street estimates of $160 billion and above. The company anticipates 2026 capex ranging from $125 billion to $145 billion; Meta has also commenced construction on an AI-focused data center facility in Canada. Meta Platforms (META) shares are hovering around $605.72, gaining $2.60 in Thursday’s session, as two positive developments spotlight the tech giant’s aggressive artificial intellige

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's AI advancements could reshape developer tools, challenging competitors to innovate and potentially altering market dynamics globally. The post Meta debuts Muse Spark 1.1 with developer preview access, intensifying AI race with OpenAI and Anthropic appeared first on Crypto Briefing.

Meta's AI focus may strain tech resources, impact crypto markets, and intensify competition with AI leaders, reshaping tech investment dynamics. The post Mark Zuckerberg returns to X after 3 years to unveil Meta’s new coding AI model appeared first on Crypto Briefing.

The post Meta sets September start for in-house Iris AI chip production appeared on BitcoinEthereumNews.com. Meta appears set to start the assembly line for its own in-house chip production by September of this year. News of the AI chip code-named Iris first broke after Reuters reported having reviewed an internal company memo on Thursday.  The same report claimed that it only took six weeks to declare the design bug-free as the chip aced testing without turning up any major faults.  Iris is reportedly the first of four chip generations that the Zuckerberg-led firm has lined up in its Meta Training and Inference Accelerators (MTIA) program. Meta first shared plans for the chip in March.  With that, Meta has played its next hand in justifying the roughly $145 billion it has poured into AI infrastructure this year alone. The firm has not publicly reacted to the news. Why Meta is building its own chip? For a company that leans heavily on processors to run AI across its flagship Facebook a

Meta's low-cost AI strategy could disrupt the market, leveraging its vast user base and infrastructure to challenge premium-priced competitors. The post Meta wants to win the AI tools war by being the cheapest option in the room appeared first on Crypto Briefing.

Meta's shift to a proprietary AI model with paid access could reshape industry norms, impacting open-source innovation and developer ecosystems. The post Meta unveils Muse Spark AI model with paid developer tier, marking a sharp pivot from open-source roots appeared first on Crypto Briefing.

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 generation, with improvements based on feedback from developers. The company says it's capable of more advanced coding, including detection and fixing of complex bugs; better supports end-to-end agentic workflows across a range of apps, including multi-agent systems; and has native multimodal perception across images, videos, and documents. The Muse Spark 1.1 launch fol … Read the full story at The Verge.