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Sam Altman: Two Years of College Is Enough, Elite Path Is Dead in AI Era
WiseTech says AI lifted productivity as it plans nearly 30% workforce cut
Hyperliquid Founder Jeff Yan Says Hard Work Should Come Before Smart Work
Sam Altman says AI industry has failed to clearly explain its benefits
Artificial In
2026-08-20 23:54:00

Tencent Research Institute article outlines five paradoxes of artificial intelligence

A commentary by Tencent Research Institute senior expert Yan Deli argues that artificial intelligence is advancing through a set of unresolved paradoxes rather than along a clean, linear path. The piece identifies five of them: forecasting, quantifying AI’s effect on jobs, the productivity puzzle, the mismatch between data’s strategic importance and its balance-sheet value, and the tendency to label each new wave of technology as the start of a new industrial revolution. The article revisits well-known AI forecasts from figures including Marvin Minsky, Geoffrey Hinton and Demis Hassabis, noting how predictions have repeatedly proved either premature or impossible to verify in real time. It also compares labor-market studies from institutions such as the OECD, IMF, World Economic Forum, World Bank, Goldman Sachs, McKinsey and Pew, saying their estimates vary so widely that they are hard to compare directly. Yan also points to weak productivity readings in the European Union after the launch of ChatGPT, contrasting them with stronger but still historically average U.S. figures, and argues that data remains difficult to price or monetize despite its central role in AI systems. The final section questions the repeated use of “the Fourth Industrial Revolution” to describe technologies ranging from microelectronics and the internet to blockchain, quantum computing and AI.

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Tencent Research Institute article outlines five paradoxes of artificial intelligence
Goolsbee says CPI data is encouraging, backs July rate hold
AI
2026-08-14 05:36:33

Foresight outlines five habits it says matter most in the AI era

Foresight has published a commentary titled "The 5 Most Important Habits for the Future in the AI Era," written by SanTi Li, Nahida and Yinyue, arguing that the main scarcity in an AI-heavy environment is shifting away from information and toward inspiration, attention, judgment and independent thinking. The piece says the central risk is no longer simply failing to use AI tools, but leaning on them so heavily that people hand over their own judgment and control over decision-making. The article lays out five habits. First, it urges readers to disconnect from screens at fixed times, exercise and return to physical environments such as parks or sports fields, arguing that the body is part of cognition rather than a drag on productivity. Second, it recommends building a stable Human-AI Operating System, with AI handling research, drafting, formatting and repetitive work, while humans retain responsibility for strategy, values, risk, ethics and final decisions. Third, the authors warn against getting stuck in endless prompt revisions when mental clarity is fading. Fourth, they advocate interrupting AI outputs early and steering interactions step by step rather than passively reading long responses. Fifth, they argue that as execution becomes cheaper, the real premium will sit with idea selection, question framing and taste. The article closes by saying that even if AI keeps getting stronger, defining what kind of world people want should remain a human task.

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Foresight outlines five habits it says matter most in the AI era
Cathie Wood: US Pretax Corporate Margins Hit Multi-Decade High; AI Could Widen Gap