https://www.technologyreview.com/topic/artificial-intelligence/ · Editorial weight 9/10
MIT Technology Review examines how roboticists have historically pursued humanoid ambitions while delivering narrow industrial solutions, tracing the gap between sci-fi aspirations and practical robotic systems deployed today.
MIT Technology Review examines how small language models can help government agencies deploy AI while navigating strict security, governance, and operational constraints that differ from private sector environments.
MIT Technology Review argues that enterprise AI's competitive advantage lies not in model capabilities but in controlling the operational infrastructure where AI is deployed, governed, and refined—a structural shift often overlooked in the benchmark-focused public debate.
Anthropic is in a legal dispute with the Pentagon over AI deployment in warfare, with artificial intelligence now actively making decisions—not just analyzing intelligence—in the ongoing Iran conflict, raising questions about meaningful human oversight.
MIT Technology Review examines a potential third major shift in software engineering, following open source and DevOps adoption, likely centered on AI's role in development practices and tooling.
MIT Technology Review examines why public and expert opinion on AI remains deeply fragmented, using Stanford's annual AI Index as a lens to assess the field's actual progress versus polarized narratives.
Stanford's 2026 AI Index report launched today, offering data-driven perspective on AI's current state amid conflicting narratives about the technology's impact on jobs, capabilities, and market dynamics.