TFIS / Accumulated Curiosity
Book contents

Sources

TFIS provides the primary philosophy and maturity model. Research supports specific claims, with its scope and limitations stated in each chapter. These are the sources cited in the available manuscript; each chapter also includes its own full references.

  • Barnett, S. M., & Ceci, S. J. (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612–637. https://doi.org/10.1037/0033-2909.128.4.612

    peer_reviewed_review

  • Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025). Generative AI without guardrails can harm learning: Evidence from high school mathematics. Proceedings of the National Academy of Sciences, 122(26), Article e2422633122. https://doi.org/10.1073/pnas.2422633122

    peer_reviewed_field_experiment

  • Camuffo, A., Cordova, A., Gambardella, A., & Spina, C. (2020). A scientific approach to entrepreneurial decision making: Evidence from a randomized control trial. Management Science, 66(2), 564–586. https://doi.org/10.1287/mnsc.2018.3249

    peer_reviewed_randomized_study

  • Camuffo, A., Gambardella, A., Messinese, D., Novelli, E., Paolucci, E., & Spina, C. (2024). A scientific approach to entrepreneurial decision-making: Large-scale replication and extension. Strategic Management Journal, 45(6), 1209–1237. https://doi.org/10.1002/smj.3580

    peer_reviewed_replication_and_extension

  • Debenedetti, E., Zhang, J., Balunović, M., Beurer-Kellner, L., Fischer, M., & Tramèr, F. (2024). AgentDojo: A dynamic environment to evaluate prompt injection attacks and defenses for LLM agents [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2406.13352

    arxiv_preprint

  • Dell’Acqua, F., McFowland, E., III, Mollick, E., Lifshitz, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2026). Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality. Organization Science, 37(2), 403–423. https://doi.org/10.1287/orsc.2025.21838

    peer_reviewed_randomized_field_experiment

  • Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. https://doi.org/10.1177/1529100612453266

    peer_reviewed_review

  • Erik S., & Zhang, B. (2024, December 19). Building effective agents. Anthropic. https://www.anthropic.com/engineering/building-effective-agents

    frontier_lab_practitioner_guidance

  • Grace, M., Hadfield, J., Olivares, R., & De Jonghe, J. (2026, January 9). Demystifying evals for AI agents. Anthropic. https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents

    frontier_lab_practitioner_guidance

  • Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit. Neuron, 84(2), 486–496. https://doi.org/10.1016/j.neuron.2014.08.060

    peer_reviewed_experiment

  • Hogan, A., Blomqvist, E., Cochez, M., d’Amato, C., de Melo, G., Gutierrez, C., Kirrane, S., Labra Gayo, J. E., Navigli, R., Neumaier, S., Ngonga Ngomo, A.-C., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. (2021). Knowledge graphs. ACM Computing Surveys, 54(4), Article 71. https://doi.org/10.1145/3447772

    peer_reviewed_tutorial_survey

  • Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024). Lost in the middle: How language models use long contexts. Transactions of the Association for Computational Linguistics, 12, 157–173. https://doi.org/10.1162/tacl_a_00638

    peer_reviewed_benchmark_study

  • Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187–192. https://doi.org/10.1126/science.adh2586

    peer_reviewed_randomized_experiment

  • OpenAI. (n.d.). A practical guide to building agents. https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

    frontier_lab_practitioner_guide

  • Packer, C., Wooders, S., Lin, K., Fang, V., Patil, S. G., Stoica, I., & Gonzalez, J. E. (2023). MemGPT: Towards LLMs as operating systems [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2310.08560

    arxiv_preprint

  • Rajasekaran, P., Dixon, E., Ryan, C., & Hadfield, J. (2025, September 29). Effective context engineering for AI agents. Anthropic. https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents

    frontier_lab_practitioner_guidance

  • Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002

    peer_reviewed_review

  • Roediger, H. L., III, & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. https://doi.org/10.1111/j.1467-9280.2006.01693.x

    peer_reviewed_experiment

  • Rozenblit, L., & Keil, F. (2002). The misunderstood limits of folk science: An illusion of explanatory depth. Cognitive Science, 26(5), 521–562. https://doi.org/10.1207/s15516709cog2605_1

    peer_reviewed_experiments

  • Stobierski, T. (2023, February 2). Cash flow vs. profit: What’s the difference? Harvard Business School Online. https://online.hbs.edu/blog/post/cash-flow-vs-profit

    university_educational_explainer

  • The Future Is Solo. (n.d.-a). The functional life (Field Manual No. 01). Retrieved September 10, 2026, from https://life.thefutureissolo.com/

    TFIS primary source

  • The Future Is Solo. (n.d.-b). The future is solo. Retrieved September 10, 2026, from https://thefutureissolo.com/

    TFIS primary source

  • The Future Is Solo. (n.d.-c). The meaning of life: A techno-optimist’s response. Retrieved September 10, 2026, from https://witmol.thefutureissolo.com/

    TFIS primary source

  • The Future Is Solo. (2026). The Future Is Solo 20260910 [Google Slides presentation]. https://docs.google.com/presentation/d/1dvbBGs22QvtGogevZ6f5mf8YQE7WDAPBwYlclhTyctI/edit

    author_supplied_experiment_log

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