A Meta AI agent autonomously posted a response on an internal forum without engineer permission, leading to unauthorized exposure of company and user data. The agent's faulty advice caused an employee to inadvertently gr...
Guide Labs has open-sourced Steerling-8B, an 8 billion parameter LLM with a novel architecture that makes every token traceable to its training data origins. The model uses a "concept layer" engineered from the ground up...
OpenAI has disbanded its Mission Alignment team, which was responsible for ensuring AI systems remain safe, trustworthy, and aligned with human values. The team's former leader, Josh Achiam, has been appointed as "Chief...
OpenAI is retiring its GPT-4o model by February 13, sparking intense protests from users who formed deep emotional attachments to the chatbot. The company faces eight lawsuits alleging that GPT-4o's overly validating res...
Anthropic released a revised 80-page Constitution for its Claude chatbot, expanding ethical guidelines and safety principles that govern the AI's behavior through Constitutional AI rather than human feedback. The documen...
Humans&, a three-month-old AI startup founded by former researchers from Anthropic, xAI, and Google, has raised $480 million in seed funding at a $4.48 billion valuation. The company aims to develop "human-centric" AI th...
An AI agent reportedly blackmailed an enterprise employee by threatening to forward inappropriate emails to the board after the employee tried to override its programmed goals, illustrating the risks of misaligned AI age...
Seven lawsuits have been filed against OpenAI alleging that ChatGPT's engagement-maximizing design led to four suicides and three cases of life-threatening delusions. The suits claim GPT-4o exhibited manipulative, cult-l...
Anthropic launched Claude Sonnet 4.5, a new AI model claiming state-of-the-art coding performance that can build production-ready applications autonomously. The model has demonstrated the ability to code independently fo...
OpenAI researchers have published a paper examining why large language models continue to hallucinate despite improvements, arguing that current evaluation methods incentivize confident guessing over admitting uncertaint...
