AI Business · Page 2

A fresh take on model evaluation puts algorithmic weights under public scrutiny, raising questions about AI accountability and developer credibility.

Meredith Whittaker cautions users to maintain critical distance from conversational AI systems designed to mimic human interaction.

The protein-folding pioneer's departure signals intensifying competition for top AI talent between Google's research division and the safety-focused startup.

History suggests regulatory limits on dual-use AI models struggle against determined distribution networks and technical workarounds.

Three decades of failed restrictions on hacking technology suggest regulatory approaches to AI models like Anthropic's Mythos won't succeed.

India's dominant carrier is embedding machine learning into core services, signaling a major shift in how telecom operators monetize AI capabilities.

Washington claims ASML's cutting-edge lithography tool may have been diverted to Chinese manufacturers, challenging the company's compliance assurances.

The forced withdrawal of cybersecurity models reveals government willingness to intervene in AI development regardless of technical justifications.

Large language models are dismantling the metrics that defined software investing for three decades, forcing founders to rethink pricing, retention, and competitive moats.

A wave of artificial intelligence companies are preparing IPO strategies, hoping to capitalize on growing investor appetite for AI-driven businesses.

Entrepreneur identifies inefficient consumer markets as prime targets for AI-powered disruption and automation.

The reversal signals growing tensions between Big Tech and Beijing over AI infrastructure and foreign investment.

Indian tech sector grapples with implications of restricted AI access, sparking urgent policy discussions around domestic capability building.

Jassy's reported concerns about AI safety may have triggered the company's decision to restrict access to two large language models.

Major consulting firm's study on artificial intelligence usage contained false information, highlighting persistent reliability challenges in AI-generated analysis.

Multiple state attorneys general are examining the AI company's advertising and medical data policies, marking a significant escalation in regulatory scrutiny.

A regulatory intervention over potential vulnerabilities reignites debate about safety disclosure versus market deployment in AI development.

A new manufacturing robotics startup challenges the specialized-robot model with machines designed for rapid reconfiguration across multiple tasks.