A Big Story investigation from MIT Technology Review, done with Type Investigations, examines how pastor Eli Regalado and his wife launched INDXcoin after claiming divine instruction, raising over $3 million from more than 500 people before the project collapsed within a year with investors losing everything. Separately, the nonprofit Reflective has published a detailed plan outlining the experiments and infrastructure needed to better understand solar geoengineering before any real-world deployment decisions are made.
technologyreview.com
· 2026-09-10
MIT Technology Review has released its annual list of 35 young innovators, chosen from 550 nominations with help from 44 expert judges. Honorees span biotechnology, AI, computing and robotics, and climate and energy, each showing measurable progress toward their goals. A separate feature in the same issue explores how spiderwebs, rich in trapped environmental DNA, are becoming a valuable tool for tracking biodiversity.
technologyreview.com
· 2026-09-08
An MIT Technology Review Insights webcast produced with NiCE examines how companies are moving AI agents from small pilots to enterprise-wide use. Chandra argues that agents need consistent access to data, context and back-end systems, and warns that scaling without integration can create new silos across teams.
technologyreview.com
· 2026-09-03
MIT Technology Review has published its annual Kids issue, exploring how children are experiencing and adapting to a world saturated with AI and technology, including topics like AI companionship, monitoring apps, and schools' use of AI. Separately, in an interview featured in the same roundup, Bill Gates told MIT Technology Review's Mat Honan that he believes society has already crossed certain safety thresholds with artificial intelligence, expressing concern about risks ranging from economic disruption to loss of control over AI systems.
technologyreview.com
· 2026-08-26
MIT Technology Review spoke with cognitive scientists comparing how babies and large language models acquire language, finding that infants learn to speak proficiently after hearing only 10 to 30 million words, while LLMs require vastly more data to approach similar fluency. Stanford's Michael C. Frank noted that training a model like GPT-2 on the same word count a toddler hears produces a 'nonsense generator,' not coherent speech.
futurism.com
· 2026-08-25
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