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The agentic web is here

MIT Technology Review ↗ · 3d ago Cached

MIT Technology Review 深度报道探讨 LLM 驱动的自主智能体如何将 Tim Berners-Lee 二十年前的语义网愿景变为现实,并正在深刻重塑人类使用的互联网生态。

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The Download: testing six tech promises and biotech’s blind spots

MIT Technology Review ↗ · 2026-10-23 Cached

MIT Technology Review's The Download newsletter features progress reports on six long-promised transformative technologies and reflects on biotech's blind spots following a documentary about Elizabeth Holmes and Theranos.

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We can do impossible things

MIT Technology Review ↗ · 2026-10-21 Cached

MIT Technology Review 新任杂志编辑发表主编寄语,介绍本期以'不可能的想法'为主题的特刊,呼吁在AI、气候等挑战面前保持大胆尝试的精神。

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Love is infrastructure

MIT Technology Review ↗ · 2026-10-16 Cached

MIT Technology Review publishes Charlie Jane Anders' fiction piece "Love is infrastructure," a whimsical story personifying cities (Mainspring and St. Barnabas) as romantic rivals to explore themes of technology, civic systems, and human connection.

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Here’s how our climate team picked 10 promising companies to watch

MIT Technology Review ↗ · 2026-10-06 Cached

MIT Technology Review explains how its climate team selected 10 promising climate tech companies to watch in 2026, highlighting a shift toward non-US firms, Chinese innovators like WeLion and Envision Energy, and energy storage companies such as Energy Dome driven by AI data center power demand.

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2026 Climate Tech Companies to Watch

MIT Technology Review ↗ · 2026-10-06 Cached

MIT Technology Review发布2026年值得关注的气候科技公司榜单,聚焦将技术与可持续发展结合的新兴企业。

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Connecting AI agents to enterprise knowledge

MIT Technology Review ↗ · 2026-10-05 Cached

A survey of 300 tech and AI executives finds that only about 34% of agentic AI projects reach production, with data fragmentation and missing organizational context as key bottlenecks — pointing to knowledge layers, RAG, and knowledge graphs as the priority investments to connect agents to enterprise data.

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Meet the under-35s shaping the future of biotech

MIT Technology Review ↗ · 2026-09-11 Cached

MIT Technology Review features five young innovators under 35 working on groundbreaking biotech projects, including a postpartum hemorrhage device, advanced brain electrodes, personalized gene-editing therapy, age-reversal eye treatment, and AI-designed viruses.

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@samuelhking: I am honored to have been selected as one of MIT Technology Review's Innovators Under 35 this year. https://ter.li/05p3…

X AI KOLs Following ↗ · 2026-09-09 Cached

Samuel King, a Stanford PhD student, is honored as an MIT Technology Review Innovator Under 35 for his work using the AI model Evo to design functional bacteriophages, advancing AI applications in biological design.

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Mother tongue

MIT Technology Review ↗ · 2026-08-21 Cached

A narrative story from MIT Technology Review explores themes of language, mortality, and AI assistance in a speculative future, where an agentic system called Tingsu causes global uncertainty.

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How we picked 35 of the world’s top young scientists and engineers

MIT Technology Review ↗ · 2026-08-12 Cached

MIT Technology Review explains how it selected the 2026 Innovators Under 35 list, from 550 nominations through judging and final picks across biotech, AI, computing, robotics, and climate/energy.

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EmTech AI 2026: The Rise of the AI Platform

MIT Technology Review ↗ · 2026-07-08 Cached

MIT Technology Review announces EmTech AI 2026, a conference focused on the rise of AI platforms and their impact on business and society.

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Exclusive eBook: How AI is becoming the next military advisor

MIT Technology Review ↗ · 2026-06-16 Cached

MIT Technology Review offers a subscriber-exclusive eBook compiling six stories on how militaries use AI models for decision-making, originally published between 2025 and 2026.

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The Download: soccer’s data renaissance and China’s big nuclear plans

MIT Technology Review ↗ · 2026-06-11 Cached

This MIT Technology Review newsletter covers the rise of AI and data analytics in soccer, China's rapid construction of large nuclear reactors, and reports that autonomous drones may have killed soldiers for the first time.

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Roundtables: Can AI Learn to Understand the World?

MIT Technology Review ↗ · 2026-05-21 Cached

A subscriber-only roundtable discussion from MIT Technology Review exploring how AI might develop world models to understand the physical world, featuring editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins.

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Roundtables: Inside the Musk v. Altman Trial

MIT Technology Review ↗ · 2026-05-19 Cached

A subscriber-only roundtable discussion featuring AI reporter Michelle Kim and editor in chief Mat Honan explores the inside story of the Musk v. Altman trial and its implications for the AI race.

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