Meta plans to manufacture Iris AI chip in September, doubling compute capacity by 2027

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 announced an update to its AI glasses that will disable the camera if the recording-indicator LED light is tampered with, a move the company described as an industry-leading safety measure. Meta acknowledged the update was prompted by users attempting to conceal or damage the LED in order to record without detection, following earlier adjustments […]

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.

SK Hynix's US listing could significantly boost foreign investment in tech, impacting global semiconductor market dynamics and AI advancements. The post SK Hynix prices US listing at $149 per ADR in what could be one of the largest foreign offerings ever appeared first on Crypto Briefing.