All 3,125 AI stories, newest first · page 69 of 131
A new position paper argues that AI models should be studied as evolving processes, not just fixed products. The paper calls for a science of AI that focuses on training dynamics to better understand why model behaviors emerge, rather than relying on post-hoc fixes.
Researchers introduced SafeGene, a reusable safety-adapter module that helps AI models maintain safety alignment during fine-tuning. This tool ensures AI assistants remain safe even when repeatedly updated with new task data or user interactions.
Researchers developed OpenSkill, a system that lets AI agents learn and improve on their own in the real world. This could make AI tools more adaptable and useful without constant human input.
OpenAI has introduced the Economic Research Exchange to explore how AI affects jobs, productivity, and the economy. Researchers can now apply to participate in selected projects.
A study found that AI personalization works poorly with real people. Researchers say current systems are often evaluated on fake data, not actual conversations. This could mean your AI assistant isn't really learning about you as well as it should.
Researchers developed a new method to detect AI hallucinations by analyzing relationships between evidence and answers. This approach could make AI responses more reliable for everyday users.
Scientists have discovered a new way to fine-tune AI models by separating the direction and strength of their internal signals. This could lead to more precise and reliable AI behavior. The research challenges the common assumption that only the direction of these signals matters, not their intensity.
Researchers developed a system that helps AI models save effort by quickly deciding whether a problem needs deep thought. This could make AI tools faster and more efficient for everyday users.
![ReARM: Governing AI Coding Agents Demo [video]](/images/articles/thumbs/2026-06-08-new-ai-system-rearm-demonstrates-how-to-govern-ai-coding-agents.webp?dpl=dpl_D53qRMk1EDFKSNfuVHZvHwUbtv5q)
A new system called ReARM demonstrates how to govern AI coding agents, ensuring they follow rules and perform tasks safely. Watch the demo video to see it in action.
Researchers have developed a new method to reduce bias in AI systems by treating fairness as a symmetry operation. Tested on four synthetic datasets, the framework achieved upwards of 90% violation reduction, significantly improving fairness in high-stakes socioeconomic decisions like hiring or lending.
Researchers created a multilingual dataset to improve AI's ability to share facts across languages. This could make AI assistants more reliable worldwide.
Researchers developed a new memory system for AI that helps it learn from failures and improve over time. This could make AI assistants much better at complex, multi-step tasks.
Researchers introduced DiBS, a new AI method that merges diffusion models with traditional logic to solve Sudoku more efficiently. This hybrid approach aims to overcome the limitations of pure learning-based or symbolic solvers.
Microsoft's AI CEO Mustafa Suleyman believes superintelligent AI is approaching but reassures that it won't replace human jobs. He emphasizes AI as a tool to augment human capabilities rather than replace them.
Terry Tao, a Fields Medal-winning mathematician, has become a leading advocate for integrating AI into mathematical research. He argues that AI can assist in discovering new patterns and solving problems that have long resisted human effort, potentially transforming how mathematics is done.
Researchers introduced Lean4Agent, a new method to make AI agents more reliable by using formal verification. This approach helps ensure AI agents follow correct steps in complex tasks, reducing errors in multi-step workflows.
Researchers created CrowdMath, a dataset of 164 expert-annotated math discussions showing how experts collaborate to solve open problems. This could help AI models learn from human reasoning processes, not just final answers.
Cerebrium launched Thalamus, a distributed router that ensures AI services run smoothly worldwide. This could make AI tools faster and more reliable for everyone.
Researchers introduced AEGIS, a system that uses a lightweight probe on a robot's activations to detect high-risk steps and switch to a stronger policy only when needed, preventing gradual failure in long-horizon manipulation tasks.
Sriram Krishnan, a key figure in shaping Trump's AI policy, is stepping down from his role. He plans to launch a new institution focused on continuing his work in AI policy. This move could significantly impact how AI regulations develop in the coming years.
Researchers discovered a new tracking method that analyzes SSD activity through JavaScript. This could let websites gather even more personal data without your knowledge.
The US government has invested heavily in quantum computing, but legal experts question the legality of the deal. This could impact the future of the quantum industry and research funding.
A popular USB-connected speaker can be hacked over the air to infect connected computers. The manufacturer doesn't consider this a security flaw.
The Trump administration is exploring deals to take an equity stake in OpenAI, aiming to benefit the American public from AI advancements. This move could significantly impact the AI industry and its global competition.