2025-01-09

Researchers from UC Berkeley, Saudi Arabia's King Abdullah City for Science and Technology, and the University of Washington took a close look at how large language models (LLMs) create questions. Their findings show some clear differences between AI and human questioning patterns.
2025-11-13
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
2025-11-26
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]
2025-10-16
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]
2025-10-12
Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]
2025-11-08
A new international study highlights major problems with large language model (LLM) benchmarks, showing that most current evaluation methods have serious flaws.<br /> The article Most LLM benchm [...]
2025-06-29
The ERGO Innovation Lab and ECODYNAMICS teamed up to analyze how insurance content shows up in AI-powered search.<br /> The article LLM search optimization seems to mirror strategies used in cla [...]
2025-11-17
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
2025-09-07
While scientists are still working to understand the effects an extended trip to space can have on the human body, research in recent years has suggested that astronauts may experience some pretty dra [...]
2025-09-26
AI-generated "workslop" is quietly draining millions from companies and damaging team morale, according to a new study from BetterUp Labs and the Stanford Social Media Lab.<br /> The a [...]