All 2,608 AI stories, newest first · page 31 of 109
NVIDIA's new NeMo AutoModel makes customizing AI models faster and easier. It automates the fine-tuning process, which could help businesses and developers create specialized AI tools without needing deep technical expertise.
CtxGov is a new open-source tool that reveals the hidden instructions behind AI agents. It helps users understand how their AI assistants make decisions. This transparency could change how people trust and use AI tools.
AI agents often make mistakes that snowball over time, especially in tasks like persuasion. Researchers found a key reason—semantic leakage in standard RAG—and developed a method called Taxonomic Strategy Retrieval to prevent these compounding errors.
A new practitioner's reference, 'The Hitchhiker's Guide to Agentic AI,' covers the full stack of building autonomous AI systems—from transformer architecture and GPU systems to fine-tuning, model compression, and production deployment.
Researchers developed an AI technique to automatically create highlights for academic papers. This could make scientific research easier to digest for non-experts and improve literature searches.
Researchers developed Heuresis, a framework to help AI agents explore high-quality, diverse, and novel ideas in machine learning. This could speed up scientific progress by making AI research more efficient and creative.
A small group of Wikipedia editors has shown that targeted edits can influence how AI models discuss animal welfare. Their work highlights the power of curated information in shaping AI behavior.
OpenAI's research shows AI agents can now handle longer, more complex tasks, making many jobs more efficient. This could change how we work across various industries.
General Intuition raised $320 million in fresh funding—bringing its total raised to $2.3 billion—to train AI models on millions of hours of video game gameplay, aiming to teach AI something closer to human intuition.
Ford is bringing back 350 quality inspectors after AI tools failed to capture their expertise or train new employees effectively. This highlights the challenges of replacing human knowledge with automation in complex fields.
A former Databricks AI chief has unveiled Un-0, an image-generation system that could slash AI power consumption by up to 1,000 times, making AI more accessible and environmentally friendly.
Anthropic's Claude is attracting more paying users, even as ChatGPT dominates the overall AI market. This shift suggests a growing preference for Claude's features among those willing to pay for AI services.
Anthropic claims Alibaba attempted to access its AI model, Claude, through deceptive means. This highlights growing tensions in the competitive AI industry.
Researchers developed a method using large language models to automatically generate challenging test problems for AI reasoning. This could lead to better evaluations of AI's ability to apply knowledge to new, harder tasks.
AI systems are now authorized to prescribe medications independently in the U.S. This shift raises critical questions about trust, liability, and how to handle uncertainty in medical decisions. Researchers highlight gaps in current regulations that could impact patient safety.
AI is creating radio chips with unprecedented efficiency and unusual designs, potentially revolutionizing wireless communication by solving problems engineers couldn't tackle alone.
AI memory benchmarks often hide key details, making it hard to compare models fairly. This lack of transparency affects how we evaluate AI capabilities.
The Washington Post tested major AI chatbots to see if they show political bias. The results show some differences in how they respond to political topics, but none were strongly biased overall.
SpaceX has signed a massive deal with open-source AI lab Reflection AI for AI computing power. This partnership will give Reflection AI access to cutting-edge hardware for developing advanced AI models.
Researchers introduced RIFT-Bench, a dynamic red-teaming benchmark that uses a graph-based methodology to evaluate security vulnerabilities across diverse agentic AI systems. Unlike static tests, it simulates adaptive attacks to find weaknesses before real hackers do, aiming to make autonomous AI safer.
Qualcomm is buying AI startup Modular for $4 billion to strengthen its AI software capabilities. This deal highlights the growing importance of AI in mobile technology and everyday devices.
OpenAI has unveiled Jalapeño, its first custom AI chip designed specifically for inference workloads. Built in collaboration with Broadcom, the chip aims to make AI processing faster and more energy-efficient, potentially lowering costs for users.
OpenAI has launched a new initiative to help find and patch bugs in open-source software, using AI to scan code for vulnerabilities and suggest fixes. This could make widely used tools more secure for everyone.
OpenAI has launched Jalapeño, a custom chip designed to power AI models. This is a big step in making AI faster and more efficient for everyday use. The chip is made in partnership with Broadcom and is specifically designed for AI tasks.