AIT Featured Posts

For decades, the pre-eminent concern of artificial intelligence research was a straightforward but profound question: What happens when machines learn…

For most of the last decade, the prevailing vision of artificial intelligence was built on a borderless cloud. The assumption was straightforward:…

You no longer have one AI system. You have customer support models, coding copilots, document agents, finance assistants, HR search tools, and…

Big models are useful for broad exploration, open-ended prompts, and creative experiments. Within enterprises, the real value often comes from smaller…

Anthropic’s confidential initial public offering (IPO) application is an important achievement for the company as well as a great turning point for…

You trained on data you should have excluded. Now the question is harder than deletion because the model may have absorbed patterns, phrases, private…

Across industries, the uptake of artificial intelligence is accelerating as more organizations turn to intelligent technologies to automate…

For decades, global markets have largely operated on a reactive basis. Businesses, financial institutions and governments used historical analysis,…

Standard language models suffer from sudden amnesia the exact moment you close the active chat window. You spend hours feeding specific project…

The 2008 financial crisis taught regulators and risk managers a lesson that has defined financial oversight ever since: by the time systemic risk is…