As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems. Why observability secures the future of enterprise AI The enterprise race to deploy...

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run.  Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different...

Hello, dear readers. Happy belated Thanksgiving and Black Friday! This year has felt like living inside a permanent DevDay. Every week, some lab drops a new model, a new agent framework, or a new “this changes everything” demo. It’s overwhelming. But it’s also the first year I’ve...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What we still don’t know about weight-loss drugs Weight-loss drugs have been back in the news this week. First, we heard that Eli Lilly, the...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks beyond well-defined problems such as math and coding.  Their framework, Agent-R1, is...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. This year’s UN climate talks avoided fossil fuels, again Over the past few weeks in Belem, Brazil, attendees of this year’s UN climate talks dealt...

Today’s IT leaders face competing mandates to do more (“make us an ‘AI-first’ enterprise—yesterday”) with less (“no new hires for at least the next six months”). VMware has become a focal point of these dueling directives. It remains central to enterprise IT, with 80% of...

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 accompanied by a committee of artificial intelligences, each offering its own perspective,...