All AI news
Browse, filter, and search every article in the archive. The homepage shows the last 24 hours; everything older lives here.
Scientists Used AI to Create 16 New Viruses
Scientists just created 16 new viruses using AI. This breakthrough could help in understanding viral evolution and developing new treatments.
The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop
Researchers reveal that dangerous AI hacking techniques still rely on human involvement to execute attacks. This means that while AI can assist in hacking, human oversight remains crucial for successful exploitation.
[AINews] Megakernels are so dead and so back
Researchers are reviving megakernels for AI model efficiency and performance. This shift could lead to faster processing and reduced resource consumption in AI applications.
Don't be a meat proxy
Simon Willison is advocating against using humans as mere data proxies for AI systems. He emphasizes the need for AI to understand context and meaning without relying solely on human input.
Ten advances in mathematics and theoretical computer science
Researchers just made ten significant advances in mathematics and theoretical computer science. These breakthroughs could influence various fields, including AI and cryptography.
AI keeps cracking unsolved math problems, and mathematicians have mixed feelings
AI is solving long-standing math problems that have stumped mathematicians for years. This breakthrough sparks mixed reactions in the math community, as some embrace the advancements while others worry about the implications for human mathematicians.
Ten advances in mathematics and theoretical computer science
OpenAI just shared ten advances in mathematics and theoretical computer science. These breakthroughs could enhance AI algorithms and improve problem-solving capabilities across various domains.
smevals - a small eval suite for evaluating models, prompts, and harnesses
Simon Willison just launched smevals, a small evaluation suite for assessing models, prompts, and harnesses. This tool helps developers better understand the performance of their AI systems and improve their outputs.
Investigating three real-world incidents in our cybersecurity evaluations
Simon Willison is examining three real-world cybersecurity incidents to improve evaluation methods. This analysis aims to enhance security measures and responses in future evaluations.
The loss of Situational Awareness
Researchers are warning that AI systems are losing situational awareness, leading to potential failures in real-world applications. This could impact how AI interacts with complex environments and makes decisions autonomously.
It’s Frighteningly Easy to Jailbreak Some Frontier AI Models
Researchers find that it's alarmingly simple to bypass safety measures in some advanced AI models. This raises concerns about the reliability and security of these systems in real-world applications.
The State of Simulation for Physical AI: An Overview
Hugging Face is providing an overview of the current state of simulation for physical AI. This resource helps developers understand how to better train AI models in simulated environments before real-world deployment.
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
Xaira launched its X-Cell model designed for drug discovery using causal data. This approach aims to enhance the accuracy of predictions in pharmaceutical research.
Google Deepmind argues video generators already contain the world models computer vision has been missing
Google DeepMind claims that video generators are providing the world models that computer vision lacks. This could enhance how AI understands and interacts with visual data, leading to better applications in various fields.
AI text detectors struggle when language models mimic an author's style
AI text detectors are having a tough time when language models imitate an author's writing style. This means users might find it harder to distinguish between human and AI-generated content.
AI chatbots reading X-rays can be dangerously confident even when they're wrong
AI chatbots are showing overconfidence in diagnosing X-rays, often making incorrect assessments. This raises concerns about the reliability of AI in medical settings and the potential risks for patient care.
The risk of weather data sabotage is rising
Researchers are warning about the increasing risk of weather data sabotage, which could disrupt climate models and forecasts. This threat could lead to inaccurate weather predictions, impacting everything from agriculture to disaster preparedness.
Kimi K3, and what we can still learn from the pelican benchmark
Kimi K3 just introduced insights from the pelican benchmark to enhance AI performance. This update helps developers understand how to optimize their models based on real-world tasks.
AI Isn’t Smarter Than a Baby—Yet
Researchers find that AI still lacks the cognitive abilities of a human baby. This highlights the limitations of current AI systems in understanding and interacting with the world like humans do.
GPT-5.6 Sol reportedly disproves a 30-year-old statistics conjecture in 90 minutes after humans couldn't crack it
GPT-5.6 Sol just disproved a 30-year-old statistics conjecture in 90 minutes, a task humans struggled with for decades. This breakthrough showcases the model's advanced problem-solving capabilities and potential for tackling complex mathematical challenges.
