Learn how to apply LLMs across industries in 7 weekly editions of our new free newsletter. For years, our newsroom has explored AI’s limitations and potential dangers, as well as its growing energy ...

Experts have made progress in LLM security. But some doubt AI assistants are ready for prime time. AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes ...

Should you use AI for financial advice? Andrew Lo, a finance professor at the Massachusetts Institute of Technology’s Sloan School of Management, says not yet. Large language models like Copilot or ...

MIT estimated the computing power for 809 large language models. Total compute affected AI accuracy more than any algorithmic tricks. Computing power will continue to dominate AI development. It's ...

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

I’m just starting out in the job market, and while it’s an exciting time, it also feels like we’re facing something unprecedented. With AI growing so quickly, it sometimes feels like entry-level jobs ...

NEW HAVEN — As artificial intelligence continues to develop and improve, Stanford University President Jon Levin said one of his biggest worries is that people will stop reading as a result. From what ...

Jeffrey Epstein’s network of money and influence often intersected with scientific and academic communities. The disgraced financier spent years cultivating relationships with researchers at elite ...

For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – writing grant proposals, summarizing dense papers, or debugging Python scripts.