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178 articles
Learn how addictive design practices in apps like Facebook and Instagram are being called illegal by the EU, and why this matters for users and tech companies.
Learn how AI content detection works and why Meta removed its controversial Instagram feature after user backlash. Understand the balance between helpful technology and user privacy.
Meta's Muse Spark 1.1 API launches at a steep discount, challenging OpenAI and Anthropic's pricing strategies in the rapidly evolving AI API market.
Meta has unveiled Muse Spark 1.1, its upgraded AI coding model designed to compete with industry leaders like GitHub Copilot and OpenAI's Codex. The new model features significant improvements over its predecessor and integrates with existing AI coding tools through a new Meta Model API.
This article explains AI cloud computing, a specialized form of cloud infrastructure designed for artificial intelligence workloads, and why Meta's entry into this market matters for the future of AI development.
Meta Superintelligence Labs introduces Muse Spark 1.1, a multimodal reasoning model for agentic tasks, featuring a 1,000,000-token context window and multi-agent delegation capabilities.
Meta enters the AI coding battle with Muse Spark 1.1, targeting enterprise-scale automation and complex development workflows. The new tool aims to compete with established players like GitHub Copilot and ChatGPT-4 in the rapidly growing AI development space.
Meta's new Muse Image feature allows AI generation from public Instagram posts, raising privacy concerns. Users can opt out by adjusting their privacy settings.
This article explains the concept of AI chips, their architecture, and why Meta's custom MTIA chip is a strategic move to scale computing capacity and reduce dependency on external suppliers.
Meta is investing $13 billion to build its first data centre in Canada, a 1-gigawatt campus in Alberta. The facility will support Meta’s AI ambitions and mark its 33rd global data centre.
Meta is testing AI-powered glasses that continuously record a user's day, raising significant privacy concerns while showcasing the company's push into wearable AI technology.
Meta introduces privacy safeguards for its AI glasses while simultaneously expanding data collection across its AI ecosystem, creating a contradiction in its approach.
