Christopher
@gatodohq.bsky.social
gatodo.com | We tell the story of the intelligence economy through findings, facts and figures from top researchers, engineers, and (I assume) artificial agents.
I wish.
Soma, K., Bouteiller, Y., Hamann, H., & Beltrame, G. (2024). Bridging swarm intelligence and reinforcement learning. arXiv preprint arXiv:2410.17517.
Soma, K., Bouteiller, Y., Hamann, H., & Beltrame, G. (2024). Bridging swarm intelligence and reinforcement learning. arXiv preprint arXiv:2410.17517.
December 10, 2025 at 11:55 AM
I wish.
Soma, K., Bouteiller, Y., Hamann, H., & Beltrame, G. (2024). Bridging swarm intelligence and reinforcement learning. arXiv preprint arXiv:2410.17517.
Soma, K., Bouteiller, Y., Hamann, H., & Beltrame, G. (2024). Bridging swarm intelligence and reinforcement learning. arXiv preprint arXiv:2410.17517.
Cool
Hu, X., Zhou, Z., Liang, R., Li, Z., Wu, W., & Li, J. (2025). Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models. arXiv preprint arXiv:2511.23319.
Hu, X., Zhou, Z., Liang, R., Li, Z., Wu, W., & Li, J. (2025). Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models. arXiv preprint arXiv:2511.23319.
December 9, 2025 at 11:55 AM
Cool
Hu, X., Zhou, Z., Liang, R., Li, Z., Wu, W., & Li, J. (2025). Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models. arXiv preprint arXiv:2511.23319.
Hu, X., Zhou, Z., Liang, R., Li, Z., Wu, W., & Li, J. (2025). Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models. arXiv preprint arXiv:2511.23319.
I wonder what Klockow would say about AI Safety perceptions?
Klockow, K. E., Peppler, R. A., & McPherson, R. A. (2014). Tornado folk science in Alabama and Mississippi in the 27 April 2011 tornado outbreak. GeoJournal, 79(6), 791-804.
Klockow, K. E., Peppler, R. A., & McPherson, R. A. (2014). Tornado folk science in Alabama and Mississippi in the 27 April 2011 tornado outbreak. GeoJournal, 79(6), 791-804.
December 3, 2025 at 3:57 PM
I wonder what Klockow would say about AI Safety perceptions?
Klockow, K. E., Peppler, R. A., & McPherson, R. A. (2014). Tornado folk science in Alabama and Mississippi in the 27 April 2011 tornado outbreak. GeoJournal, 79(6), 791-804.
Klockow, K. E., Peppler, R. A., & McPherson, R. A. (2014). Tornado folk science in Alabama and Mississippi in the 27 April 2011 tornado outbreak. GeoJournal, 79(6), 791-804.
Whatevah, you're just jealous.
Imas, A., Madarász, K., & Sarsons, H. (2025). Jealousy of Trade: Exclusionary Preferences and Economic Nationalism (No. w34351). National Bureau of Economic Research.
Imas, A., Madarász, K., & Sarsons, H. (2025). Jealousy of Trade: Exclusionary Preferences and Economic Nationalism (No. w34351). National Bureau of Economic Research.
December 2, 2025 at 3:57 PM
Whatevah, you're just jealous.
Imas, A., Madarász, K., & Sarsons, H. (2025). Jealousy of Trade: Exclusionary Preferences and Economic Nationalism (No. w34351). National Bureau of Economic Research.
Imas, A., Madarász, K., & Sarsons, H. (2025). Jealousy of Trade: Exclusionary Preferences and Economic Nationalism (No. w34351). National Bureau of Economic Research.
ngl, this one hurt.
Bisconti, P., Prandi, M., Pierucci, F., Giarrusso, F., Bracale, M., Galisai, M., ... & Nardi, D. (2025). Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models.
Bisconti, P., Prandi, M., Pierucci, F., Giarrusso, F., Bracale, M., Galisai, M., ... & Nardi, D. (2025). Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models.
December 1, 2025 at 3:57 PM
ngl, this one hurt.
Bisconti, P., Prandi, M., Pierucci, F., Giarrusso, F., Bracale, M., Galisai, M., ... & Nardi, D. (2025). Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models.
Bisconti, P., Prandi, M., Pierucci, F., Giarrusso, F., Bracale, M., Galisai, M., ... & Nardi, D. (2025). Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models.
We got tired?
Almelhem, A., Iyigun, M., Kennedy, A., & Rubin, J. (2023). Enlightenment ideals and belief in progress in the run-up to the industrial revolution: A textual analysis.
Almelhem, A., Iyigun, M., Kennedy, A., & Rubin, J. (2023). Enlightenment ideals and belief in progress in the run-up to the industrial revolution: A textual analysis.
November 28, 2025 at 11:55 AM
We got tired?
Almelhem, A., Iyigun, M., Kennedy, A., & Rubin, J. (2023). Enlightenment ideals and belief in progress in the run-up to the industrial revolution: A textual analysis.
Almelhem, A., Iyigun, M., Kennedy, A., & Rubin, J. (2023). Enlightenment ideals and belief in progress in the run-up to the industrial revolution: A textual analysis.
Good for people. Good for LLMs.
Li, Y., Shen, Y., Nian, Y., Gao, J., Wang, Z., Yu, C., ... & Zhao, Y. (2025). Mitigating hallucinations in large language models via causal reasoning. arXiv preprint arXiv:2508.12495.
Li, Y., Shen, Y., Nian, Y., Gao, J., Wang, Z., Yu, C., ... & Zhao, Y. (2025). Mitigating hallucinations in large language models via causal reasoning. arXiv preprint arXiv:2508.12495.
November 27, 2025 at 11:55 AM
Good for people. Good for LLMs.
Li, Y., Shen, Y., Nian, Y., Gao, J., Wang, Z., Yu, C., ... & Zhao, Y. (2025). Mitigating hallucinations in large language models via causal reasoning. arXiv preprint arXiv:2508.12495.
Li, Y., Shen, Y., Nian, Y., Gao, J., Wang, Z., Yu, C., ... & Zhao, Y. (2025). Mitigating hallucinations in large language models via causal reasoning. arXiv preprint arXiv:2508.12495.
Fantastic.
Shahidi, P., Rusak, G., Manning, B. S., Fradkin, A., & Horton, J. J. (2025). The Coasean Singularity? Demand, Supply, and Market Design with AI Agents (No. w34468). National Bureau of Economic Research.
Shahidi, P., Rusak, G., Manning, B. S., Fradkin, A., & Horton, J. J. (2025). The Coasean Singularity? Demand, Supply, and Market Design with AI Agents (No. w34468). National Bureau of Economic Research.
November 25, 2025 at 11:55 AM
Fantastic.
Shahidi, P., Rusak, G., Manning, B. S., Fradkin, A., & Horton, J. J. (2025). The Coasean Singularity? Demand, Supply, and Market Design with AI Agents (No. w34468). National Bureau of Economic Research.
Shahidi, P., Rusak, G., Manning, B. S., Fradkin, A., & Horton, J. J. (2025). The Coasean Singularity? Demand, Supply, and Market Design with AI Agents (No. w34468). National Bureau of Economic Research.
Think about the personalization opportunities here:
Shen, S. Z., Chen, V., Gu, K., Ross, A., Ma, Z., Ross, J., ... & Sontag, D. (2025). Completion $\neq $ Collaboration: Scaling Collaborative Effort with Agents. arXiv preprint arXiv:2510.25744.
Shen, S. Z., Chen, V., Gu, K., Ross, A., Ma, Z., Ross, J., ... & Sontag, D. (2025). Completion $\neq $ Collaboration: Scaling Collaborative Effort with Agents. arXiv preprint arXiv:2510.25744.
November 19, 2025 at 3:57 PM
Think about the personalization opportunities here:
Shen, S. Z., Chen, V., Gu, K., Ross, A., Ma, Z., Ross, J., ... & Sontag, D. (2025). Completion $\neq $ Collaboration: Scaling Collaborative Effort with Agents. arXiv preprint arXiv:2510.25744.
Shen, S. Z., Chen, V., Gu, K., Ross, A., Ma, Z., Ross, J., ... & Sontag, D. (2025). Completion $\neq $ Collaboration: Scaling Collaborative Effort with Agents. arXiv preprint arXiv:2510.25744.
Using product review!
Li, B., Wei, Q. O., & Wang, X. S. (2025). Predicting Behaviors with Large Language Model (Llm)-Powered Digital Twins of Customers.
Li, B., Wei, Q. O., & Wang, X. S. (2025). Predicting Behaviors with Large Language Model (Llm)-Powered Digital Twins of Customers.
November 18, 2025 at 3:57 PM
Using product review!
Li, B., Wei, Q. O., & Wang, X. S. (2025). Predicting Behaviors with Large Language Model (Llm)-Powered Digital Twins of Customers.
Li, B., Wei, Q. O., & Wang, X. S. (2025). Predicting Behaviors with Large Language Model (Llm)-Powered Digital Twins of Customers.
Finally! A positive incentive to tell the truth!
Lee, J. Y., Shin, J., & Yu, J. (2025). Communicating attribute importance under competition. Marketing Science.
Lee, J. Y., Shin, J., & Yu, J. (2025). Communicating attribute importance under competition. Marketing Science.
November 13, 2025 at 3:57 PM
Finally! A positive incentive to tell the truth!
Lee, J. Y., Shin, J., & Yu, J. (2025). Communicating attribute importance under competition. Marketing Science.
Lee, J. Y., Shin, J., & Yu, J. (2025). Communicating attribute importance under competition. Marketing Science.
November 13, 2025 at 2:59 PM
November 12, 2025 at 2:58 PM
King, J., et al (2025, October). User Privacy and Large Language Models: An Analysis of Frontier Developers’ Privacy Policies. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (Vol. 8, No. 2, pp. 1465-1477).
November 11, 2025 at 11:55 AM
King, J., et al (2025, October). User Privacy and Large Language Models: An Analysis of Frontier Developers’ Privacy Policies. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (Vol. 8, No. 2, pp. 1465-1477).
Tomorrow's newsletter: Looped Language Models, less superhuman, privacy, attribute importance, political connections, musky drama, economic lit search
November 10, 2025 at 11:55 AM
Tomorrow's newsletter: Looped Language Models, less superhuman, privacy, attribute importance, political connections, musky drama, economic lit search
Love this paper.
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
November 7, 2025 at 3:57 PM
Love this paper.
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
November 6, 2025 at 3:57 PM
Bak-Coleman, J., O'Connor, C., Bergstrom, C., & West, J. (2025). The Risks of Industry Influence in Tech Research. arXiv preprint arXiv:2510.19894.
Hard interviews signal greatness to great people.
Ash, Shukla, Sockin (2025) Interviews
Ash, Shukla, Sockin (2025) Interviews
November 5, 2025 at 11:55 AM
Hard interviews signal greatness to great people.
Ash, Shukla, Sockin (2025) Interviews
Ash, Shukla, Sockin (2025) Interviews
In tomorrow's newsletter: Inside the Fold. How agents sculpt memory, maps reveal bias, and industries shape their own evidence.
November 3, 2025 at 11:55 AM
In tomorrow's newsletter: Inside the Fold. How agents sculpt memory, maps reveal bias, and industries shape their own evidence.
Another cool one!
Hewitt, L., Ashokkumar, A., Ghezae, I., & Willer, R. (2024). Predicting results of social science experiments using large language models. Preprint.
Hewitt, L., Ashokkumar, A., Ghezae, I., & Willer, R. (2024). Predicting results of social science experiments using large language models. Preprint.
October 30, 2025 at 11:55 AM
Another cool one!
Hewitt, L., Ashokkumar, A., Ghezae, I., & Willer, R. (2024). Predicting results of social science experiments using large language models. Preprint.
Hewitt, L., Ashokkumar, A., Ghezae, I., & Willer, R. (2024). Predicting results of social science experiments using large language models. Preprint.
More from Peng et al.
So cool.
So cool.
October 29, 2025 at 11:55 AM
More from Peng et al.
So cool.
So cool.
Peng, T., Gui, G., Merlau, D. J., Fan, G. J., Sliman, M. B., Brucks, M., ... & Toubia, O. (2025). A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement. arXiv preprint arXiv:2509.19088.
October 28, 2025 at 11:55 AM
Peng, T., Gui, G., Merlau, D. J., Fan, G. J., Sliman, M. B., Brucks, M., ... & Toubia, O. (2025). A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement. arXiv preprint arXiv:2509.19088.
Signal.
Brand, J., Israeli, A., & Ngwe, D. (2023). Using LLMs for Market Research (Harvard Business School Marketing Unit Working Paper No. 23-062). Social Science Research Network. doi. org/10.2139/ssrn, 4395751.
Brand, J., Israeli, A., & Ngwe, D. (2023). Using LLMs for Market Research (Harvard Business School Marketing Unit Working Paper No. 23-062). Social Science Research Network. doi. org/10.2139/ssrn, 4395751.
October 24, 2025 at 10:55 AM
Signal.
Brand, J., Israeli, A., & Ngwe, D. (2023). Using LLMs for Market Research (Harvard Business School Marketing Unit Working Paper No. 23-062). Social Science Research Network. doi. org/10.2139/ssrn, 4395751.
Brand, J., Israeli, A., & Ngwe, D. (2023). Using LLMs for Market Research (Harvard Business School Marketing Unit Working Paper No. 23-062). Social Science Research Network. doi. org/10.2139/ssrn, 4395751.
A better way to bandit. Old trick. New arms.
Weaver, I. N., Kumar, V., & Jain, L. (2025). Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve. Marketing Science.
Weaver, I. N., Kumar, V., & Jain, L. (2025). Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve. Marketing Science.
October 23, 2025 at 10:55 AM
A better way to bandit. Old trick. New arms.
Weaver, I. N., Kumar, V., & Jain, L. (2025). Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve. Marketing Science.
Weaver, I. N., Kumar, V., & Jain, L. (2025). Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve. Marketing Science.