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Can Donald Trump’s bullying goad Canada out of its complacency? Briefing, page 19. Middle powers face a new threat, page 53  \nWill AI take over science?  \nThe machines are inside the laboratory: leader, page 12 . In aseven-page Science & technology section, we look at why the model-makers train their AIs for research, page 69 . Breakthroughsin biology, page 72. The fears of mathematicians, page 70. And scientific paperwork, page 74  \nMysteries of the Musk Foundation Elon Musk’s charitable giving is opaque, miserly and self-serving, page 57. A new film about the tycoon, page 79. Looking back at DOGE, page 80  \nOur interview with the AfP’s Alice Weidel Why she insists that Germany must abandon Ukraine, page 47  \nMillennials are on Easy Street at last Don’t feel sorry for them. They are living it up, page 63. A tech-powered millennial revival is powering the biggest nostalgia boom yet, page 76  \n→ Download The Economist’sapp for articles, podcasts, videos and more, published throughout the week.  \n\n| The world this week\u003Cbr>6 A summary of political and business news |\n| --- |\n| Leaders\u003Cbr>11 Canada’s lessons\u003Cbr>Not sorry\u003Cbr>12 Science and AI\u003Cbr>EurekAI!\u003Cbr>13 Trump backs Russia\u003Cbr>Hardly his finest hour\u003Cbr>13 Cuba\u003Cbr>America makes waves\u003Cbr>14 Millennials\u003Cbr>The comeback cohort |\n| Letters\u003Cbr>15 On America’s city mayors, Britain before Thatcher, sleep deprivation, Singapore, mistakes at AI labs |\n| By Invitation\u003Cbr>18 Lawrence Lessig and Yoshua Bengio on how to reduce AI risks without losing the AI race |\n| Briefing\u003Cbr>19 Reviving Canada\u003Cbr>Anew leaf\u003Cbr>\u003Cbr>Schumpeter\u003Cbr>The AI boom is threatened by an epidemic of unreliable numbers, page 62 |\n| |\n\n\n| United States\u003Cbr>22 Protecting the midterms\u003Cbr>23 Politics in Ohio\u003Cbr>24 Data-centre discontent\u003Cbr>25 Sumo comes to America\u003Cbr>25 A slippery diesel deal\u003Cbr>26 The Jon Ossoff playbook\u003Cbr>27 Lexington The Biden trap | |\n| --- | --- |\n| The Americas\u003Cbr>28 Cuba’s entrepreneurs\u003Cbr>29 Inside Venezuela’s prisons\u003Cbr>30 Gambling wars in Brazil | |\n| Asia\u003Cbr>31 El Niño hits Asia\u003Cbr>32 India’s cockroach protests\u003Cbr>33 Depopulation in Japan\u003Cbr>33 Myanmar’s charm offensive\u003Cbr>34 Ashoka Non-resident Indians | |\n| China\u003Cbr>35 The recycling giant\u003Cbr>36 3D-printing muscle\u003Cbr>37 Channelling more money\u003Cbr>to development causes\u003Cbr>38 Chaguan Taxation risks | |\n| Middle East & Africa\u003Cbr>39 War comes to Saudi\u003Cbr>40 Kingmakers in Israel\u003Cbr>41 Israel’s ex-pat voters\u003Cbr>42 Africa’s green travails\u003Cbr>43 Gen-Z voters in Kenya | |\n\n⏩ Contents continues overleaf  \n4 The Economist ctober 17th 2026  \nContents  \n\n| Europe\u003Cbr>44 Dieseling Ukraine down\u003Cbr>45 Dodging Russia’s draft\u003Cbr>46 Iberian immigration\u003Cbr>46 Art-theft boom\u003Cbr>47 The AfD’s Alice Weidel\u003Cbr>48 Charlemagne Bright lights, small cities | |\n| --- | --- |\n| Britain\u003Cbr>49 Preparing for crisis\u003Cbr>50 Clay-pigeon shooting\u003Cbr>51 British-Israeli relations\u003Cbr>51 Ceremony in the City\u003Cbr>52 Bagehot Exploiting\u003Cbr>suicide | |\n| International\u003Cbr>53 Middle powers in a\u003Cbr>predatory world | |\n\nBusiness  \n57 Musk’s miserly foundation  \n58 SpaceX’s mobile ambitions  \n59 The neolab era  \n60 Chip-stock jitters  \n61 Bartleby AI emails  \n62 Schumpeter Bad beancounting  \n| Finance & economics\u003Cbr>63 Millennials on top\u003Cbr>64 China’s reluctant lenders\u003Cbr>65 Gunfire and brimstone\u003Cbr>66 Banking in a war zone\u003Cbr>67 Buttonwood French bond lessons\u003Cbr>68 Free Exchange ANew Keynesian Nobel | |\n| --- | --- |\n| Science & technology\u003Cbr>69 Why build AI scientists?\u003Cbr>70 Maths and machines\u003Cbr>72 Synthetic biology\u003Cbr>74 Can AI speed up science?\u003Cbr>75 Well Informed How\u003Cbr>much to walk? | |\n| Culture","cbCaiqlTxxEtrJit","https://ap.wps.com/l/cbCaiqlTxxEtrJit","pdf",11808075,84,"English","# Leaders\n## Canada’s lessons\n## Not sorry\n## Science and AI\n## EurekAI!\n## Trump backs Russia\n## Cuba\n## Millennials\n## The comeback cohort\n# Letters\n## On America’s city mayors\n# By Invitation\n## Lawrence Lessig and Yoshua Bengio on reducing AI risks\n# Briefing\n## Reviving Canada\n# Schumpeter\n## The AI boom is threatened by unreliable numbers\n# United States\n## Protecting the midterms\n## Politics in Ohio\n## Data-centre discontent\n## Sumo comes to America\n## A slippery diesel deal\n## The Jon Ossoff playbook\n## The Biden trap\n# The Americas\n## Cuba’s entrepreneurs\n## Inside Venezuela’s prisons\n## Gambling wars in Brazil\n# Asia\n## El Niño hits Asia\n## India’s cockroach protests\n## Depopulation in Japan\n## Myanmar’s charm offensive\n## Ashoka Non-resident Indians\n# China\n## The recycling giant\n## 3D-printing muscle\n## Channelling more money to development causes\n## Chaguan Taxation risks\n# Middle East & Africa\n## War comes to Saudi\n## Kingmakers in Israel\n## Israel’s ex-pat voters\n## Africa’s green travails\n## Gen-Z voters in Kenya\n# Business\n## Musk’s miserly foundation\n## SpaceX’s mobile ambitions\n## The neolab era\n## Chip-stock jitters\n## Bartleby AI emails\n## Bad beancounting\n# Finance & economics\n## Millennials on top\n## China’s reluctant lenders\n## Gunfire and brimstone\n## Banking in a war zone\n## French bond lessons\n## ANew Keynesian Nobel\n# Science & technology\n## Why build AI scientists?\n## Maths and machines\n## Synthetic biology\n## Can AI speed up science?\n## How much to walk?\n# Culture\n## Millennial nostalgia\n## Miniatures\n## Ben Macintyre’s “Redwood”\n## Elizabeth Holmes\n## The trouble with “Musk”\n## DOGE","[{\"question\":\"What is the main theme of the October 17th-23rd 2026 issue?\",\"answer\":\"The issue centers on leaders and reporting on science and AI, including how AI is trained for research and what it means for scientific work. It also spans politics, business, finance, and culture.\"},{\"question\":\"Which sections and topics are included in the contents?\",\"answer\":\"Contents include Leaders, Letters, By Invitation, Briefing, Schumpeter, regional coverage (United States, the Americas, Asia, China, Middle East \\u0026 Africa, Europe, Britain, International), Business, Finance \\u0026 economics, Science \\u0026 technology, and Culture.\"},{\"question\":\"What science and technology features are highlighted?\",\"answer\":\"Science \\u0026 technology highlights include “Why build AI scientists?”, “Maths and machines,” “Synthetic biology,” and “Can AI speed up science?”. It also includes a “Well Informed” piece on how much to walk.\"}]","The Economist - October 17th-23rd 2026 | PDF",1792358528,212]