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.
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.
Reposted by Christopher
While only 5% of AI users seek companionship from a chatbot, 14% have used it for relationship or social advice, and 12% for mental health questions. Read our subscriber survey: https://thein.fo/4pg3gXx
Survey: Daily AI Use Is High, but Mostly for Simple Tasks
Four out of five readers of The Information say they use new AI tools daily, mostly as a search and information tool, according to our latest subscriber survey. The next most common use cited by subsc...
thein.fo
December 8, 2025 at 9:45 PM
While only 5% of AI users seek companionship from a chatbot, 14% have used it for relationship or social advice, and 12% for mental health questions. Read our subscriber survey: https://thein.fo/4pg3gXx
Reposted by Christopher
AI Agenda: Anthropic’s CEO Says He Doesn’t Do ‘Code Reds’
Read more from Rocket Drew 👇
https://thein.fo/3MDfkDA
Read more from Rocket Drew 👇
https://thein.fo/3MDfkDA
Anthropic’s CEO Says He Doesn’t Do ‘Code Reds’
Anthropic CEO Dario Amodei on Wednesday threw shade at archrival OpenAI, saying at The New York Times Dealbook Summit that “we don’t have to do any code reds.” It was a reference to our report Monday ...
thein.fo
December 4, 2025 at 3:22 PM
AI Agenda: Anthropic’s CEO Says He Doesn’t Do ‘Code Reds’
Read more from Rocket Drew 👇
https://thein.fo/3MDfkDA
Read more from Rocket Drew 👇
https://thein.fo/3MDfkDA
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.
Reason for skepticism about The Coasean Singularity. Well. We have recent experience with massively decentralized systems. And what has happened? Unless it really is different this time... how can it possibly be different?
November 26, 2025 at 11:55 AM
Reason for skepticism about The Coasean Singularity. Well. We have recent experience with massively decentralized systems. And what has happened? Unless it really is different this time... how can it possibly be different?
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.
It's so cool!
Verma, V., Acharya, S., Simko, S., Bhardwaj, D., Haghighat, A., Janzing, D., ... & Yang, Y. (2025). Causal AI Scientist: Facilitating Causal Data Science with Large Language Models. In NeurIPS 2025 AI for Science Workshop.
Verma, V., Acharya, S., Simko, S., Bhardwaj, D., Haghighat, A., Janzing, D., ... & Yang, Y. (2025). Causal AI Scientist: Facilitating Causal Data Science with Large Language Models. In NeurIPS 2025 AI for Science Workshop.
November 21, 2025 at 11:55 AM
It's so cool!
Verma, V., Acharya, S., Simko, S., Bhardwaj, D., Haghighat, A., Janzing, D., ... & Yang, Y. (2025). Causal AI Scientist: Facilitating Causal Data Science with Large Language Models. In NeurIPS 2025 AI for Science Workshop.
Verma, V., Acharya, S., Simko, S., Bhardwaj, D., Haghighat, A., Janzing, D., ... & Yang, Y. (2025). Causal AI Scientist: Facilitating Causal Data Science with Large Language Models. In NeurIPS 2025 AI for Science Workshop.
To personalize the effort effectively, the agent would need to estimate the capabilities of its user...
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 20, 2025 at 11:55 AM
To personalize the effort effectively, the agent would need to estimate the capabilities of its user...
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.
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.
Reposted by Christopher
Anthropic projects 80% of its revenue this year will come from selling AI models to business customers via API, contributing to its projected cost efficiency. Full story here: https://thein.fo/43kkoma
Anthropic to Outpace OpenAI in Server Efficiency, Internal Projections Show
As OpenAI and Anthropic seek to make similar breakthroughs in artificial intelligence, their financial paths may be headed in different directions. Both companies produced financial projections a few ...
thein.fo
November 14, 2025 at 7:15 PM
Anthropic projects 80% of its revenue this year will come from selling AI models to business customers via API, contributing to its projected cost efficiency. Full story here: https://thein.fo/43kkoma
Anybody else increasingly mystified?
November 14, 2025 at 11:55 AM
Anybody else increasingly mystified?
Thank you to Paul Hünermund @p-hunermund.com , Jermain Kaminski @jermainkaminski.bsky.social, Carla Schmitt, and Beyers Louw for organizing the #CDSM25 event again this year. Well facilitated, great speakers and I loved the 80 minute poster talk sprint! I learned a lot.
November 13, 2025 at 6:20 PM
Thank you to Paul Hünermund @p-hunermund.com , Jermain Kaminski @jermainkaminski.bsky.social, Carla Schmitt, and Beyers Louw for organizing the #CDSM25 event again this year. Well facilitated, great speakers and I loved the 80 minute poster talk sprint! I learned a lot.
Reposted by Christopher
So I met this guy who’s meditated 4000 conversations between Israelis and Palestinians since October 7th. And he’s building an AI powered platform for difficult conversations. Here’s what he’s learned. www.betterconflictbulletin.org/p/what-you-c...
What You Can Learn from 4,000 Conversations Between Israelis and Palestinians
Adam Becker is building an AI-powered platform for difficult conversations - BCB #171
www.betterconflictbulletin.org
November 13, 2025 at 2:47 PM
So I met this guy who’s meditated 4000 conversations between Israelis and Palestinians since October 7th. And he’s building an AI powered platform for difficult conversations. Here’s what he’s learned. www.betterconflictbulletin.org/p/what-you-c...
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
Coming up in a few hours (16h20 CET):
Generating Impact with Causal ML: Applications, Strengths, and New Opportunities w/ Stefan Feuerriegel (LMU)
www.causalscience.org
#CDSM25
Generating Impact with Causal ML: Applications, Strengths, and New Opportunities w/ Stefan Feuerriegel (LMU)
www.causalscience.org
#CDSM25
Causal Data Science Meeting - Home
Fostering a dialogue between industry and academia on causal data science.
www.causalscience.org
November 13, 2025 at 1:20 PM
Coming up in a few hours (16h20 CET):
Generating Impact with Causal ML: Applications, Strengths, and New Opportunities w/ Stefan Feuerriegel (LMU)
www.causalscience.org
#CDSM25
Generating Impact with Causal ML: Applications, Strengths, and New Opportunities w/ Stefan Feuerriegel (LMU)
www.causalscience.org
#CDSM25
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).
" If you want to show that research should be done, why not do it and add a discussion to your paper? A demonstration, no matter how small, can be done through an experiment or through some mathematical and theoretical development."
Based on a fun conversation on here, I wrote about the arXiv position paper controversy and the weird, unwritten, organic evolution of academic practice.
A position on positions
The complex evolution of academic process doesn't always lead us to better practice.
www.argmin.net
November 10, 2025 at 5:22 PM
" If you want to show that research should be done, why not do it and add a discussion to your paper? A demonstration, no matter how small, can be done through an experiment or through some mathematical and theoretical development."