Christopher
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gatodohq.bsky.social
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.
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
Anybody else increasingly mystified?
November 14, 2025 at 11:55 AM
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
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
Finally! A positive incentive to tell the truth!

Lee, J. Y., Shin, J., & Yu, J. (2025). Communicating attribute importance under competition. Marketing Science.
November 13, 2025 at 3:57 PM
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
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
November 12, 2025 at 2:58 PM
"Check yourself"
November 12, 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).
November 11, 2025 at 11:55 AM
" 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
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
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.
November 7, 2025 at 3:57 PM
Reposted by Christopher
Shares of Duolingo vs. the S&P.

See if you can spot the day Apple announced real-time language translation. 👀

$DUOL
November 6, 2025 at 4:16 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.
November 6, 2025 at 3:57 PM
Hard interviews signal greatness to great people.

Ash, Shukla, Sockin (2025) Interviews
November 5, 2025 at 11:55 AM
AgentFold treats memory as clay, not tape.
It folds, condenses, and abstracts — a glimpse of long-horizon cognition.
AgentFold: Long-Horizon Web Agents with Proactive Context Management
LLM-based web agents show immense promise for information seeking, yet their effectiveness on long-horizon tasks is hindered by a fundamental trade-off in context management. Prevailing ReAct-based…
arxiv.org
November 4, 2025 at 3:57 PM
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
"Frightening away demons is the reason for the season!"
In The Know: Has Halloween Become Overcommercialized?
Subscribe to The Onion on YouTube: http://bit.ly/xzrBUA Panelists discuss whether Halloween candy and costumes have distracted us from placating demons to ensure a bountiful harvest. Like The Onion…
www.youtube.com
October 31, 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.
October 30, 2025 at 11:55 AM
More from Peng et al.

So cool.
October 29, 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.
October 28, 2025 at 11:55 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.
October 24, 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.
October 23, 2025 at 10:55 AM