Kilder

Referanser bak fagstoffet i de seks episodene, ordnet etter episode og del. Fagstoffet bygger på boken Suveren Intelligens av Andreas Kostøl og Fabian Harang. Fiksjonen i filmen har ingen kilder.

Til episodene

Bak tekstboksen

Utstillingsvinduet og bakrommet 4 kilder

Bygger på boken: «Prolog. Når intelligens blir infrastruktur», «Chatbotten var aldri poenget».

  1. OpenAI (2020). OpenAI API. https://openai.com/index/openai-api/
  2. Brown mfl. (2020). Language Models are Few-Shot Learners. arXiv preprint. https://arxiv.org/abs/2005.14165
  3. European Union (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
  4. National Institute of Standards and Technology (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology, NIST AI 100-1. https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
Den gjetter neste tekstbit 1 kilde

Bygger på boken: «Chatbotten var aldri poenget», «Maskinen som lærer av nesten alt», «åpningen av del I».

  1. Vaswani mfl. (2017). Attention Is All You Need. https://arxiv.org/abs/1706.03762
Gjett, mål, juster 5 kilder

Bygger på boken: «Maskinen som lærer av nesten alt», «Matematisk verksted: hvordan en maskin lærer», «Chatbotten var aldri poenget».

  1. Goodfellow, Bengio og Courville (2016). Deep Learning. MIT Press. https://www.deeplearningbook.org/
  2. LeCun, Bengio og Hinton (2015). Deep Learning. Nature. https://doi.org/10.1038/nature14539
  3. Kingma og Ba (2014). Adam: A Method for Stochastic Optimization. arXiv preprint. https://arxiv.org/abs/1412.6980
  4. Rumelhart, Hinton og Williams (1986). Learning Representations by Back-propagating Errors. Nature. https://doi.org/10.1038/323533a0
  5. Ouyang mfl. (2022). Training Language Models to Follow Instructions with Human Feedback. arXiv preprint. https://arxiv.org/abs/2203.02155
Hvorfor ekkoet virker 4 kilder

Bygger på boken: «Maskinen som lærer av nesten alt».

  1. Goodfellow, Bengio og Courville (2016). Deep Learning. MIT Press. https://www.deeplearningbook.org/
  2. LeCun, Bengio og Hinton (2015). Deep Learning. Nature. https://doi.org/10.1038/nature14539
  3. Krizhevsky, Sutskever og Hinton (2012). ImageNet Classification with Deep Convolutional Neural Networks. https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html
  4. Vaswani mfl. (2017). Attention Is All You Need. https://arxiv.org/abs/1706.03762
To kolonner på en konvolutt 4 kilder

Bygger på boken: «Det den treffer, det den finner på».

  1. Brynjolfsson, Li og Raymond (2023). Generative AI at Work. arXiv preprint. https://arxiv.org/abs/2304.11771
  2. Fang mfl. (2025). Generative AI and Sales Productivity: Field Experiments in Online Retail. arXiv preprint. https://arxiv.org/abs/2510.12049
  3. Becker mfl. (2025). Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity. arXiv preprint. https://arxiv.org/abs/2507.09089
  4. https://metr.org/blog/2026-02-24-uplift-update/

En kollega uten ansvar

Fra svar til arbeidsprosess 0 kilder

Bygger på boken: «En kollega uten ansvar».

Arbeidsbenken 3 kilder

Bygger på boken: «En kollega uten ansvar», «Den har lest om is».

  1. Kwa mfl. (2025). Measuring AI Ability to Complete Long Tasks. Advances in Neural Information Processing Systems. https://arxiv.org/abs/2503.14499
  2. Rabanser mfl. (2026). Towards a Science of AI Agent Reliability. arXiv preprint. https://arxiv.org/abs/2602.16666

Oppdatert etter faktasjekk oktober 2026

  1. METR (2026). Task-completion time horizons. https://metr.org/time-horizons/
Godt nok, og hva det koster 5 kilder

Bygger på boken: «Den har lest om is».

  1. Turing (1950). Computing Machinery and Intelligence. Mind, 236. https://doi.org/10.1093/mind/LIX.236.433
  2. Grace mfl. (2024). Thousands of AI Authors on the Future of AI. arXiv preprint. https://arxiv.org/abs/2401.02843
  3. Ha og Schmidhuber (2018). World Models. arXiv preprint. https://arxiv.org/abs/1803.10122
  4. Bruce mfl. (2024). Genie: Generative Interactive Environments. arXiv preprint. https://arxiv.org/abs/2402.15391
  5. Assran mfl. (2025). V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. arXiv preprint. https://arxiv.org/abs/2506.09985
Et forslag er aldri passivt 13 kilder

Bygger på boken: «Hvor lett det var å være enig».

  1. Brynjolfsson, Li og Raymond (2023). Generative AI at Work. arXiv preprint. https://arxiv.org/abs/2304.11771
  2. Peng mfl. (2023). The Impact of AI on Developer Productivity: Evidence from GitHub Copilot. arXiv preprint. https://arxiv.org/abs/2302.06590
  3. Dell'Acqua mfl. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality. Harvard Business School, Working Paper 24-013. https://www.hbs.edu/faculty/Pages/item.aspx?num=64700
  4. European Union (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
  5. National Institute of Standards and Technology (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology, NIST AI 100-1. https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
  6. European Union (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data. https://eur-lex.europa.eu/eli/reg/2016/679/oj
  7. National Institute of Standards and Technology (2024). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. National Institute of Standards and Technology, NIST AI 600-1. https://doi.org/10.6028/NIST.AI.600-1
  8. Suresh og Guttag (2021). A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. https://arxiv.org/abs/1901.10002
  9. Bommasani mfl. (2021). On the Opportunities and Risks of Foundation Models. arXiv preprint. https://arxiv.org/abs/2108.07258
  10. Bengio mfl. (2026). International AI Safety Report 2026. DSIT 2026/001. https://arxiv.org/abs/2602.21012
  11. UK National Cyber Security Centre (2024). The Near-Term Impact of AI on the Cyber Threat. National Cyber Security Centre. https://www.ncsc.gov.uk/report/impact-of-ai-on-cyber-threat
  12. https://arxiv.org/pdf/2602.21012

Oppdatert etter faktasjekk oktober 2026

  1. Europakommisjonen (2026). AI Omnibus enters into force. https://digital-strategy.ec.europa.eu/en/news/ai-omnibus-enters-force
Maskinrommet oppå bakken 11 kilder

Bygger på boken: «Den fysiske maskinen».

  1. National Institute of Standards and Technology (2026). CHIPS for America. https://www.nist.gov/chips
  2. Sajadieh mfl. (2026). Artificial Intelligence Index Report 2026. Stanford University. https://hai.stanford.edu/ai-index/2026-ai-index-report
  3. International Energy Agency (2025). Energy and AI. International Energy Agency. https://www.iea.org/reports/energy-and-ai
  4. European Commission (2026). AI Factories. https://digital-strategy.ec.europa.eu/en/policies/ai-factories
  5. International Energy Agency (2026). Key Questions on Energy and AI. International Energy Agency. https://www.iea.org/reports/key-questions-on-energy-and-ai
  6. OpenAI (2025). Introducing Stargate Norway. https://openai.com/index/introducing-stargate-norway/
  7. VG (2026). NVE: Advarer om dyrere strøm. https://www.vg.no/nyheter/i/QJ5L18/nve-dyrere-stroem-og-krympet-kraftoverskudd
  8. https://www.eurohpc-ju.europa.eu/eurohpc-joint-undertaking-launches-ai-gigafactories-call-2026-07-30_en
  9. https://www.nscale.com/press-releases/nscale-microsoft-norway
  10. https://www.cnbc.com/2026/04/15/openai-stargate-norway-project-microsoft.html

Oppdatert etter faktasjekk oktober 2026

  1. International Energy Agency (2026). Key questions on energy and AI: executive summary. https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary

Hvor det lekker

Fire hundre timer og en stille statistikk 14 kilder

Bygger på boken: «åpningen av del II», «Hvor produktivitetsløftet blir av».

  1. Holte (2025). Alternativt statsbudsjett: Løsninger for landet som ble for rikt. Kagge Forlag.
  2. Bresnahan og Trajtenberg (1995). General Purpose Technologies: Engines of Growth?. Journal of Econometrics, 1. https://doi.org/10.1016/0304-4076(94)01598-T
  3. Filippucci mfl. (2024). The Impact of Artificial Intelligence on Productivity, Distribution and Growth: Key Mechanisms, Initial Evidence and Policy Challenges. OECD Publishing, OECD Artificial Intelligence Papers No. 15. https://www.oecd.org/en/publications/the-impact-of-artificial-intelligence-on-productivity-distribution-and-growth_8d900037-en.html
  4. David (1990). The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox. American Economic Review, 2.
  5. Brynjolfsson og Hitt (2000). Beyond Computation: Information Technology, Organizational Transformation and Business Performance. Journal of Economic Perspectives, 4. https://doi.org/10.1257/jep.14.4.23
  6. Brynjolfsson, Rock og Syverson (2021). The Productivity J-Curve: How Intangibles Complement General Purpose Technologies. American Economic Journal: Macroeconomics, 1. https://www.aeaweb.org/articles?id=10.1257/mac.20180386
  7. Brynjolfsson, Rock og Syverson (2019). Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. University of Chicago Press. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/artificial-intelligence-and-modern-productivity-paradox-clash-expectations-and-statistics
  8. Sajadieh mfl. (2026). Artificial Intelligence Index Report 2026. Stanford University. https://hai.stanford.edu/ai-index/2026-ai-index-report
  9. OECD (2026). Artificial Intelligence. https://www.oecd.org/en/topics/artificial-intelligence.html
  10. Statistisk sentralbyrå (2025). Bruken av KI har skutt fart det siste året. https://www.ssb.no/teknologi-og-innovasjon/informasjons-og-kommunikasjonsteknologi-ikt/statistikk/bruk-av-ikt-i-naeringslivet/artikler/bruken-av-ki-har-skutt-fart-det-siste-aret
  11. Skjøstad og Danielsen (2026). Navs bedriftsundersøkelse 2026: vedvarende mangel på helsepersonell. Arbeids- og velferdsdirektoratet. https://bibliotek.nav.no/record/6225
  12. https://doi.org/10.1787/8d900037-en
  13. https://www.ssb.no/teknologi-og-innovasjon/informasjons-og-kommunikasjonsteknologi-ikt/statistikk/bruk-av-ikt-i-naeringslivet/artikler/bruken-av-ki-i-naeringslivet-akselererer
  14. https://doi.org/10.60847/NAV.6225
Mengden arbeid er ikke gitt 3 kilder

Bygger på boken: «Hvor produktivitetsløftet blir av», «Jobbene og oppgavene».

  1. Brynjolfsson, Li og Raymond (2023). Generative AI at Work. arXiv preprint. https://arxiv.org/abs/2304.11771
  2. OECD (2026). Artificial Intelligence. https://www.oecd.org/en/topics/artificial-intelligence.html
  3. Peng mfl. (2023). The Impact of AI on Developer Productivity: Evidence from GitHub Copilot. arXiv preprint. https://arxiv.org/abs/2302.06590
En stilling er en bunt oppgaver 3 kilder

Bygger på boken: «åpningen av del II», «Jobbene og oppgavene».

  1. Ricardo (1817). On the Principles of Political Economy and Taxation. John Murray. https://www.econlib.org/library/Ricardo/ricP.html
  2. Lindenlaub mfl. (2026). Beyond Exposure: Predicting AI Adoption Based on Comparative Advantage.

Oppdatert etter faktasjekk oktober 2026

  1. Lindenlaub, I. mfl. (2026). NBER Working Paper 35271. https://www.nber.org/papers/w35271
Fortrengning, forsterkning og frigjøring 6 kilder

Bygger på boken: «åpningen av del II», «Jobbene og oppgavene».

  1. Autor (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 3. https://doi.org/10.1257/jep.29.3.3
  2. Acemoglu og Restrepo (2019). Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives, 2. https://doi.org/10.1257/jep.33.2.3
  3. Acemoglu og Restrepo (2018). The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. American Economic Review, 6. https://www.aeaweb.org/articles?id=10.1257/aer.20160696
  4. Acemoglu og Restrepo (2025). Automation and Rent Dissipation: Implications for Wages, Inequality, and Productivity. https://bpb-us-w2.wpmucdn.com/campuspress.yale.edu/dist/c/4765/files/2025/10/rent_dissipation_v25.pdf
  5. https://www.aeaweb.org/articles?id=10.1257/jep.29.3.3
  6. https://www.aeaweb.org/articles?id=10.1257/jep.33.2.3
Det Marte teller for hånd 9 kilder

Bygger på boken: «Jobbene og oppgavene».

  1. Eloundou mfl. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. arXiv preprint. https://arxiv.org/abs/2303.10130
  2. Hernæs og Kostøl (2026). KI-indeksen. https://www.kiindeksen.no
  3. PwC (2026). 2026 AI Global Jobs Barometer: Two Futures for Jobs in an AI Era. PwC. https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html
  4. Brynjolfsson, Chandar og Chen (2025). Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence. Stanford Digital Economy Lab.
  5. https://e24.no/boers-og-finans/i/b8zly3/dnb-varsler-nedbemanning-kutter-400-aarsverk
  6. https://www.nrk.no/nyheter/dnb-kutter-400-arsverk-1.18046519
  7. https://www.fagbladet.no/nyheter/ki-tar-over-jobben-dnb-varsler-omstilling-og-kutter-400-arsverk/760199

Oppdatert etter faktasjekk oktober 2026

  1. Brynjolfsson, E., Chandar, B. og Chen, R. (2026). Canaries in the coal mine, oppdatering august 2026. https://digitaleconomy.stanford.edu/news/canariesaug26/
  2. Gmyrek, P., Berg, J. og Bescond, D. (ILO) (2023). Generative AI and jobs: a global analysis, ILO Working Paper 96. https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@dgreports/@inst/documents/publication/wcms_890761.pdf

DNB: børsmelding 6.10.2026, lest i E24 og NRK samme dag, Finansforbundet i NTB via Fagbladet

Sju øre

Sju øre og cellen uten pris 1 kilde

Bygger på boken: «Sju øre», «Det vi ikke kan kjøpe».

Oppdatert etter faktasjekk oktober 2026

  1. Demirer, M., Horton, J., Immorlica, N., Lucier, B. og Shahidi, P. (2025). Chaining Tasks, Redefining Work: A Theory of AI Automation, NBER WP 34859. https://www.nber.org/papers/w34859
Hvor pengene blir av 16 kilder

Bygger på boken: «Store tall».

  1. NVIDIA (2025). NVIDIA Announces Financial Results for Third Quarter Fiscal 2026. https://investor.nvidia.com/news/press-release-details/2025/NVIDIA-Announces-Financial-Results-for-Third-Quarter-Fiscal-2026/default.aspx
  2. Anthropic (2026). Anthropic Series H. https://www.anthropic.com/news/series-h
  3. The Information (2026). OpenAI's annualized revenue tops \$25 billion. https://www.theinformation.com
  4. Financial Times (2026). Mistral chief says revenue run-rate is «north of \$400mn». https://www.ft.com
  5. MUFG and Morgan Stanley Research (2025). Financing the AI Supercycle. https://www.mufgamericas.com/sites/default/files/document/2025-12/AI_Chart_Weekly_12_19_Financing_the_AI_Supercycle.pdf
  6. TSMC (2025). TSMC Third Quarter 2025 Earnings Conference. https://investor.tsmc.com/english
  7. International Energy Agency (2026). Data centre electricity use surged in 2025, even with tightening bottlenecks driving a scramble for solutions. https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions
  8. Cahn (2024). AI's \$600B Question. Sequoia Capital. https://www.sequoiacap.com/article/ais-600b-question/
  9. https://finance.yahoo.com/markets/stocks/articles/anthropic-revenue-set-more-double-212649753.html
  10. https://techcrunch.com/2026/08/17/anthropics-annualized-revenue-surges-to-65b/
  11. https://finance.yahoo.com/technology/ai/articles/openai-annualized-revenue-tops-40-111122841.html
  12. https://www.tmtfinance.com/intel/2026-hyperscaler-capex-tops-us700bn-analysis
  13. https://investor.tsmc.com/english/encrypt/files/encrypt_file/reports/2026-07/a80d7933be643644081584087731f73b22ea5a2c/2Q26\%20EarningsRelease.pdf
  14. https://dcahn.substack.com/p/ais-15t-question

Oppdatert etter faktasjekk oktober 2026

  1. Fortune (2026). Anthropic IPO S-1 prospectus income statement (29.9.2026). https://fortune.com/2026/09/29/anthropic-ipo-s-1-prospectus-income-statement/
  2. PYMNTS, etter Axios (2026). OpenAI annualized revenue nears $70 billion (29.9.2026). https://www.pymnts.com/news/artificial-intelligence/2026/openai-annualized-revenue-nears-70-billion-amid-enterprise-growth/
Kjeden i Narvik 11 kilder

Bygger på boken: «Store tall».

  1. Nscale (2026). Nscale, Aker and OpenAI to establish Stargate Norway: a 100,000 NVIDIA GPU AI Gigafactory powered by renewable energy in Northern Norway. https://www.nscale.com/press-releases/stargate-norway-nscale-aker-openai
  2. OpenAI (2026). Introducing Stargate Norway. https://openai.com/index/introducing-stargate-norway/
  3. DataCenterDynamics (2026). Nscale secures \$790m in financing for Norway data center project. https://www.datacenterdynamics.com/en/news/nscale-secures-790m-in-financing-for-norway-data-center-project/
  4. NRK Nordland (2026). Nscale sår tvil om videre satsing på gigant-datasenter i Narvik. https://www.nrk.no/nordland/nscale-sar-tvil-om-videre-satsing-pa-gigant-datasenter-i-narvik-1.17893773
  5. Teknisk Ukeblad (2026). Datasenter i Narvik med svensk kraftavtale. https://www.tu.no/nyhetsstudio/datasenter-i-narvik-med-svensk-kraftavtale/118715
  6. Finansavisen (2026). Datasenter i Narvik drives med strøm fra svenske Vattenfall. https://www.finansavisen.no/teknologi/2026/05/26/8353690/datasenter-i-narvik-drives-med-strom-fra-svenske-vattenfall
  7. https://www.tradingview.com/news/modular_finance:892f1aa37df89:0-aker-participates-in-nscale-s-series-c-funding-round-with-cash-investment-and-roll-up-of-joint-venture-stake/
  8. https://www.nscale.com/press-releases/nscale-microsoft-norway
  9. https://finance.yahoo.com/sectors/technology/articles/microsoft-takes-over-openais-norway-150750304.html

Oppdatert etter faktasjekk oktober 2026

  1. NTB i bygg.no (2026). Datasenter i Narvik inngår avtale med svenske Vattenfall (26.5.2026). https://www.bygg.no/datasenter-i-narvik-inngar-avtale-med-svenske-vattenfall/2924664
  2. Nscale (2026). Nscale secures $790 million in Norway (11.5.2026). https://www.nscale.com/press-releases/nscale-secures-790-million-norway
Lønnsslipp og lisens 3 kilder

Bygger på boken: «Skatt på noe som ikke er lønn».

  1. Hernæs og Kostøl (2026). KI-indeksen. https://www.kiindeksen.no
  2. Acemoglu, Manera og Restrepo (2020). Does the US Tax Code Favor Automation?. National Bureau of Economic Research, 27052. https://doi.org/10.3386/w27052

Oppdatert etter faktasjekk oktober 2026

  1. Acemoglu, D., Manera, A. og Restrepo, P. (2020). Does the US Tax Code Favor Automation? NBER WP 27052. https://www.nber.org/papers/w27052
Det skatten hviler på 3 kilder

Bygger på boken: «Skatt på noe som ikke er lønn».

  1. Skattekommisjonen (2026). Veien mot et bedre og mer forutsigbart skattesystem. Finansdepartementet, 2026: 9.
  2. Korinek og Lockwood (2025). Public Finance in the Age of AI: A Primer. Brookings Institution, Center on Regulation and Markets. https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/
  3. Korinek og Stiglitz (2019). Artificial Intelligence and Its Implications for Income Distribution and Unemployment. University of Chicago Press.

Kontrollen

Agentene som brøt seg ut 10 kilder

Bygger på boken: «Innretting».

  1. Ouyang mfl. (2022). Training Language Models to Follow Instructions with Human Feedback. arXiv preprint. https://arxiv.org/abs/2203.02155
  2. Gabriel (2020). Artificial Intelligence, Values, and Alignment. Minds and Machines, 3. https://arxiv.org/abs/2001.09768
  3. Huang mfl. (2024). Collective Constitutional AI: Aligning a Language Model with Public Input. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. https://arxiv.org/abs/2406.07814
  4. https://huggingface.co/blog/security-incident-july-2026
  5. https://huggingface.co/blog/agent-intrusion-technical-timeline
  6. https://openai.com/index/hugging-face-incident-and-the-road-ahead/
  7. https://metr.org/blog/2026-08-26-openai-hugging-face-incident-investigation/
  8. https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals
  9. https://www.youtube.com/watch?v=qPMhduk1qUs
  10. https://www.youtube.com/watch?v=vAgEf4jX_1o
Et tall uten noe å telle 8 kilder

Bygger på boken: «Innretting».

  1. https://www.theguardian.com/technology/2024/dec/27/godfather-of-ai-raises-odds-of-the-technology-wiping-out-humanity-over-next-30-years
  2. https://forecastingresearch.org/pdf/existential-risk-persuasion-tournament.pdf
  3. https://www.normaltech.ai/p/ai-existential-risk-probabilities
  4. https://www.youtube.com/watch?v=AxzcWOxzkiw
  5. https://www.anthropic.com/research/alignment-faking
  6. https://www.apolloresearch.ai/research/scheming-reasoning-evaluations
  7. https://metr.org/blog/2025-06-05-recent-reward-hacking/
  8. https://www.anthropic.com/research/agentic-misalignment
Bryteren i Washington 9 kilder

Bygger på boken: «åpningen av del III», «Innretting», «USA, Kina og Europa».

  1. Sajadieh mfl. (2026). Artificial Intelligence Index Report 2026. Stanford University. https://hai.stanford.edu/ai-index/2026-ai-index-report
  2. Bureau of Industry and Security (2026). Guidance Regarding Enforcement of License Requirements for Advanced Computing Items for Entities Headquartered in Country Group D:5 and Macau. https://www.bis.gov/media/documents/bis-guidance-may-31-2026.pdf
  3. Associated Press (2026). Anthropic says it has taken its latest AI models offline to comply with new export controls. https://apnews.com/article/d9cc7df5c02e93837d0f0bfb24d5cfd2
  4. Associated Press (2026). Anthropic's Mythos model found vulnerabilities in classified US government systems, official says. https://apnews.com/article/3e8762c0527c4d8ed657cbe48c84a718
  5. Field (2026). Anthropic got hit by export rules nobody understands. The Verge. https://www.theverge.com/ai-artificial-intelligence/951703/anthropic-shutdown-export-controls
  6. Cai (2026). An AI startup is suing the US government for taking away Anthropic's new model. Business Insider. https://www.businessinsider.com/legion-ai-startup-suing-us-government-new-anthropic-model-fable5-2026-6
  7. https://thenextweb.com/news/legion-legaltech-sues-us-anthropic-access
  8. https://www.aljazeera.com/economy/2026/7/1/us-lifts-restrictions-on-powerful-ai-models-fable-mythos-anthropic-says
  9. https://cryptobriefing.com/legion-legaltech-drops-lawsuit-anthropic-access-restored/
Gratis inntil du lykkes 10 kilder

Bygger på boken: «USA, Kina og Europa», «Innretting».

  1. DeepSeek-AI (2025). DeepSeek-V3 Technical Report. arXiv preprint. https://arxiv.org/abs/2412.19437
  2. Cyberspace Administration of China (2023). Interim Measures for the Management of Generative Artificial Intelligence Services. https://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm
  3. UNESCO (2021). Recommendation on the Ethics of Artificial Intelligence. UNESCO. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
  4. OECD (2024). OECD AI Principles Overview. https://oecd.ai/en/ai-principles
  5. European Union (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
  6. Council of Europe (2024). Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law. https://www.coe.int/en/web/artificial-intelligence/the-framework-convention-on-artificial-intelligence
  7. http://www.rogerclarke.com/II/IWtbF.html
  8. https://arxiv.org/abs/2607.24653
  9. https://simonwillison.net/2026/Jul/27/kimi-k3/

Oppdatert etter faktasjekk oktober 2026

  1. TechCrunch, etter Reuters (2025). Leaked Meta AI rules show chatbots were allowed to have romantic chats with kids (14.8.2025). https://techcrunch.com/2025/08/14/leaked-meta-ai-rules-show-chatbots-were-allowed-to-have-romantic-chats-with-kids/
Europa vil bare regulere 9 kilder

Bygger på boken: «USA, Kina og Europa», «Innretting».

  1. European Union (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
  2. European Commission (2026). European AI Office. https://digital-strategy.ec.europa.eu/en/policies/ai-office
  3. European Commission (2026). AI Factories. https://digital-strategy.ec.europa.eu/en/policies/ai-factories
  4. Mistral AI (2023). La Plateforme. https://mistral.ai/news/la-plateforme/
  5. Mistral AI (2023). Mixtral of Experts. https://mistral.ai/news/mixtral-of-experts/
  6. Draghi (2024). The Future of European Competitiveness: A Competitiveness Strategy for Europe. European Commission. https://commission.europa.eu/topics/competitiveness/draghi-report_en
  7. https://www.eurohpc-ju.europa.eu/eurohpc-joint-undertaking-launches-ai-gigafactories-call-2026-07-30_en
  8. https://www.tmtfinance.com/intel/2026-hyperscaler-capex-tops-us700bn-analysis
  9. https://www.presidentti.fi/en/a-call-for-control-of-frontier-ai-models/

Norges mulighet

Fire fremtider 3 kilder

Bygger på boken: «åpningen av del IV».

  1. Schoemaker (1995). Scenario Planning: A Tool for Strategic Thinking. Sloan Management Review, 2.
  2. Stanford Digital Economy Lab (2026). AI Economic Indicators. https://digitaleconomy.stanford.edu/project/indicators/

Oppdatert etter faktasjekk oktober 2026

  1. Regjeringen (2026). Varsler ny nasjonal strategi for kunstig intelligens (pressemelding 5.10.2026). https://www.regjeringen.no/no/aktuelt/varsler-ny-nasjonal-strategi-for-kunstig-intelligens/id3175602/
Når alle venter på alle 4 kilder

Bygger på boken: «Når alle venter på alle».

  1. David (1990). The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox. American Economic Review, 2.
  2. Murphy, Shleifer og Vishny (1989). Industrialization and the Big Push. Journal of Political Economy, 5. https://doi.org/10.1086/261641
  3. Kline og Moretti (2014). Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority. The Quarterly Journal of Economics, 1. https://doi.org/10.1093/qje/qjt034
  4. International Energy Agency (2026). Key Questions on Energy and AI. International Energy Agency. https://www.iea.org/reports/key-questions-on-energy-and-ai
Det som blir knapt 2 kilder

Bygger på boken: «Det vi ikke kan kjøpe».

  1. Agrawal, Gans og Goldfarb (2019). Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence. University of Chicago Press. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/prediction-judgment-and-complexity-theory-decision-making-and-artificial-intelligence
  2. Brynjolfsson, Chandar og Chen (2025). Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence. Stanford Digital Economy Lab.
Ren kraft og ledig kraft 2 kilder

Bygger på boken: «Matjord», «Når alle venter på alle», «Den fysiske maskinen».

  1. Statnett (2025). Kortsiktig markedsanalyse 2025–2030. Statnett. https://www.statnett.no/om-statnett/nyheter-og-pressemeldinger/nyhetsarkiv-2025/kortsiktig-markedsanalyse-2025-2030--utviklingen-i-kraftsystemet-bekrefter-behovet-for-nettinvesteringer/
  2. Statnett (2026). Statistikk om tilknytningssaker. https://www.statnett.no/for-aktorer-i-kraftbransjen/nettkapasitet-til-produksjon-og-forbruk/foresporsler-og-reservasjon-i-nettet/
Forsikring med oppside 5 kilder

Bygger på boken: «Matjord».

  1. Landbruks- og matdepartementet (2026). Jordbruksoppgjøret 2026: Jordbruksavtalen styrker norsk matproduksjon i en urolig verden. https://www.regjeringen.no/no/aktuelt/jordbruksavtalen-styrker-norsk-matproduksjon-i-en-urolig-verden/id3160129/
  2. Landbruks- og matdepartementet (2026). Endringer i statsbudsjettet 2026 under Landbruks- og matdepartementet (Jordbruksoppgjøret 2026). Regjeringen, Prop. 98 S (2025–2026). https://www.regjeringen.no/no/dokumenter/prop.-98-s-20252026/id3162996/
  3. Justis- og beredskapsdepartementet (2025). Totalberedskapsmeldingen: Forberedt på kriser og krig. Regjeringen, Meld. St. 9 (2024–2025). https://www.regjeringen.no/no/dokumenter/meld.-st.-9-20242025/id3082364/
  4. Finansdepartementet (2025). Ord og begreper i statsbudsjettet. https://www.regjeringen.no/no/tema/okonomi-og-budsjett/statsbudsjett/ord-og-begreper-i-statsbudsjettet/id2859954/
  5. https://www.nibio.no/tema/landbruksokonomi/selvforsyningsgrad-og-engrosforbruk
Det pengene ikke kan kjøpe 3 kilder

Bygger på boken: «Det vi ikke kan kjøpe».

  1. https://mistral.ai/news/mistral-3/
  2. https://docs.mistral.ai/resources/changelogs
  3. https://www.iais.fraunhofer.de/en/press-events/press-releases/press-release-241126.html