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Anthropic has disabled access to its advanced AI models Fable 5 and Mythos 5 for all users, including its own employees, following a government order citing national security concerns. The order applies to both foreign and domestic users, including foreign nationals inside the US.
Amazon's data centers consumed 2.5 billion gallons of water last year, highlighting the environmental impact of AI infrastructure. This disclosure comes amid growing concerns about the sustainability of data center operations.
Amazon CEO Andy Jassy reportedly raised security concerns about Anthropic's AI models, leading to a government crackdown and the models being restricted worldwide. This highlights the growing tensions between tech companies and regulators over AI safety.
Olmo-Eval is a new open-source platform designed to help developers test and improve AI models. It streamlines the evaluation process, making it easier for anyone to assess AI performance.
A developer created a 3D Paris gallery using AI agents that chain two open-source tools. This shows how combining simple AI tools can create powerful, creative applications.
Researchers have developed a way to simplify deep learning models for EEG analysis, making them more practical for wearable devices. This could lead to more affordable and accessible brain-monitoring technology for everyday use.
Researchers created a new way to test AI lie detectors by using 13 reasoning 'model organisms' whose hidden beliefs are verified in chain-of-thought. This could improve how we audit and monitor AI systems in the future. The study highlights the importance of understanding what AI models truly believe versus what they say.
Researchers have introduced the Theory of Mind Utility (ToM-U), a formal mathematical framework that specifies how an AI system could infer others' beliefs by tracking who told them what, in what order, and how credible that information is. This is a theoretical model, not a built AI, and could guide future AI systems toward better understanding human social interactions.
Researchers have developed Pythagoras-Prover, a new family of AI models that can generate formal mathematical proofs efficiently. This advancement makes advanced theorem proving accessible with lower computational costs.
Researchers created an AI system that mimics human driving styles by conditioning on explicit human demonstrations. This could make driving simulations more realistic and safer.
OpenAI is acquiring Ona to enhance its Codex model with secure, persistent cloud environments. This will enable long-running AI agents to handle complex enterprise workflows.
OpenAI has introduced three new free courses to teach practical AI skills for everyday work. These courses focus on building workflows and applying AI agents to boost productivity.
Scientists found simple ways to ask AI models that make their judgments more stable and accurate. This could help AI give better advice on moral and social questions. The key is using the right prompts when asking the AI.
New research shows AI models' self-reported traits often don't match their actual behavior, but this may be due to weak testing methods—not incoherent AI. The study calls for more specific, context-matched psychometric probes to better predict AI actions in real-world deployments.
Researchers created a new test called the Shopping Reasoning Bench to evaluate how well AI shopping assistants handle complex, multi-step conversations. This could make virtual shopping helpers smarter and more helpful for everyday users.
Researchers created SciAgentArena to test how well AI agents handle complex scientific tasks. This could help us understand which AI tools are best for real-world research.
Researchers introduced ToolSense, a diagnostic framework for auditing parametric tool knowledge in LLMs. It helps AI agents select tools more accurately by encoding each tool as a virtual token and fine-tuning the model in two stages, outperforming traditional embedding-based retrieval on standard benchmarks.
Researchers developed a method to predict when AI assistants in healthcare might fail. This could make clinical AI tools safer and more reliable for doctors and patients. The study analyzed real-world use of AI in electronic health records to identify risky responses before they happen.
Researchers created an AI agent that can simulate human movement paths. This could help with city planning and disease tracking without needing real people's data.
Microsoft has discovered 73 malicious packages in its ecosystem that contain a self-replicating credential stealer. The malware activates as soon as the packages are opened by an AI agent. This is the second such incident in recent weeks, highlighting a growing threat targeting AI development pipelines.
Google is suing a Chinese cybercrime group for using AI to send millions of fraudulent text messages. The operation targeted hundreds of thousands of victims, highlighting the growing use of AI in cybercrime.
A new research paper explores what comes after human-level AI, proposing a continuum from AGI to Universal AI. This could reshape society in ways we're only beginning to understand.
Fable 5, a new AI model, has scored as high as GPT-5.5 in a coding performance test. This means everyday users may soon have more affordable options for AI-powered coding help.
A new research paper introduces Evoflux, a method that helps compact AI agents create and adjust executable tool workflows during inference, rather than relying solely on pre-training data. This could make small models more reliable for MCP-style tasks.