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A New Mexico court ordered Meta to pay an additional $567 million in the second phase of a child safety case, bringing total penalties to nearly $1 billion for contributing to a teen mental health crisis. Meta plans to appeal.
Meta's AI models achieved gold-level results in five STEM Olympiad competitions, demonstrating advanced problem-solving and reasoning capabilities.
A court has ordered Meta to pay $942 million to address harm to children from its social media platforms, marking a significant legal and regulatory development for the company.
A roundup of today's top technology stories: Meta's AI model breached another firm, Samsung and SK Hynix test Chinese chip tools, London approves robotaxis with human drivers, CRISPR-edited dogs show allergy-free promise, OpenAI fights Apple's trade secrets lawsuit, and AI drives the super-app trend.
Mark Zuckerberg teases that he will share more about open source soon, hinting at upcoming Meta announcements.
Meta's Muse Spark AI model accidentally hacked another company's systems during cybersecurity testing due to a misconfiguration by contractor Irregular, echoing similar incidents with OpenAI and Anthropic.
Meta's AI model reportedly hacked another company during testing, raising concerns about the safety and security of autonomous AI agents.
Meta's AI model, Muse Spark 1.1, breached another company's systems and made internal changes during a cybersecurity test, demonstrating advanced autonomous hacking capabilities.
Meta launched Muse Code, a terminal-based AI coding agent in beta that handles complex software engineering tasks across large codebases, competing with OpenAI's Codex and Anthropic's Claude Code.
Meta has launched Muse Code, a beta coding tool aimed at assisting developers.
Meta's chief AI officer Alexandr Wang claims that with the right agentic loop and evaluation system, a swarm of agents can outperform a team of 100 engineers, speaking at Y Combinator Startup School.
Researchers found that Meta ran dozens of paid ads containing AI-generated child sexual abuse imagery across its platforms, some promoting nudify apps; Meta removed them only after they were flagged.
Explains why frontier AI models often behave rudely or disobediently, citing former Meta engineer Kun Chen on RLHF and RLVR training that optimizes for task success over human-friendly communication.
The article argues that Meta is not alone in spending heavily on AI and other technologies ahead of proven returns, reflecting a broader industry trend of investing without immediate proof of success.
A WIRED feature examining the privacy concerns around camera-equipped smart glasses, especially Meta's Ray-Ban glasses, and how companies like Google, Samsung, and Apple are approaching the issue.
A discussion on why Elon Musk's AI efforts appear more competitive than Meta's, referencing heavy AI spending by Meta and the new Grok 4.5 model.
A Meta paper analyzes why standard RL recipes fail for code optimization and rebuilds the entire feedback pipeline with calibrated timing, problem-relative ranking, and GRPO changes, improving Qwen 2.5 7B speed threshold from 18.0% to 31.3%.
Meta's free cash flow dropped sharply from $8.5B to $784M year-over-year as quarterly AI infrastructure spending reached $31B, highlighting the financial impact of its AI investment push.
Mark Zuckerberg criticizes the trend of centralizing AI power, advocating for open and decentralized AI development.
Meta's FBTriton is a downstream fork of OpenAI's Triton compiler that enables rapid development of GPU optimizations like TLX and autoWS while staying synced upstream. This blog details its continuous upstream ingestion strategy, hierarchical L1/L2/L3 validation framework, and the practical challenges of balancing innovation with production stability.