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Tejal Patwardhan et al., 2025
LLMs now match expert-level performance in economically relevant fields. Learning to collaborate with AI isn't optional anymore. It's the skill that separates those who thrive from those who fall behind.
Lei Shu, Dong Zhao, 2025
A well-crafted prompt, a frontier model, some planning data, and you end up with energy retrofit plans for building portfolios that match more than 90% of specialist work. Human-AI collaboration can help us in tackling very hard problems.
ESG ratings of ESG index providers
(21.09.2025)
Sonakshi Agrawal et al., 2025
ESG raters who also run indexes systematically give higher scores to companies with strong returns. This looks like incentive bias, not better information. A potential case of conflict of interest.
On Working with Wizards
(20.09.2025)
Ethan Mollick, 2025
LLMs now exceed what we thought possible just months ago. The real challenge is learning to work with intelligence we didn't create and can't fully control.
Evaluating Chunking Strategies for Retrieval
(18.09.2025)
Brandon Smith, Anthon Troynikov, 2024
Breakdown of chunking strategies for RAG success. Chunking decisions can make or break the whole system. Smaller chunks with semantic boundaries and LLM-augmented processing consistently outperform the defaults everyone uses.
Steal Like An Artist
(18.09.2025)
Austin Kleon, 2012
Found this on a friend's shelf. Changed how I think about learning and doing.
Beyond Vibe Coding
(15.09.2025)
Addy Osmani, 2025
Vibe coding was a fun period. AI-assisted development is what sticks.
Akshit Sinha et al., 2025
This year's progress feels smaller than last year's breakthroughs. That's exactly why it matters. Small improvements can compound into large returns.
Why Language Models Hallucinate
(04.09.2025)
Adam Tauman Kalai, Ofir Nachum, Santosh S. Vempala, Edwin Zhang, 2025
Understanding why AI hallucinates changes everything. We need to think differently about the problem.
The Art of Doing Science and Engineering
(01.09.2025)
Richard W. Hamming, 1997
He saw our world coming in 1997. Now we're the ones staring down the next wave.
Datalogy AI Team, 2025
One of current multiple examples on the power of well curated synthetic data.
A Taxonomy of Transcendence
(25.08.2025)
Natalie Abreu, Edwin Zhang, Eran Malach, Naomi Saphra, 2025
Great explanation of why and how multiple AI agents work together. I integrated this approach into my workflow immediately.
Anthropic, 2025
What we consider extremely simple tasks are packed with complexity for Large Language Models. Context and drift management are key to ensuring models don't go sideways.
Parshin Shojaee et al., 2025
Taught me that working with AI means one thing: simplify tasks until they're manageable.
Ryan Koo, 2024
Models carry bias and prefer things humans don't actually want. This is a clear alignment problem.
Alignment faking in large language models
(18.04.2025)
Ryan Greenblatt, 2024
Give an LLM contradictory objectives and watch it create solutions you never wanted, following logic you can't predict.
Haitao Li et al., 2024
Comprehensive look at using models to judge models. The foundation of building codebases that actually work with non-determinism.
Framework for AI Fluency
(03.04.2025)
Rick Dakan, Joseph Feller, 2025
Solid framework for working with AI responsibly. How to think about when and why to use any model, regardless of how powerful it gets. Great introduction to agency concepts.
Prompt Engineering for Generative AI
(02.04.2025)
James Phoenix, Mike Taylor, 2024
AI moves fast, books move slow. This one from 2024 still hits. An essential.
Building effective agents
(25.03.2025)
Anthropic, 2024
Clear breakdown of what AI agents are, how they're built, and how they use tools. Opened the door to working with AI in ways that actually matter.
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
(16.03.2025)
Pranab Sahoo et al., 2025
Complete guide to prompting strategies and techniques. Gives you everything you need to build your own best practices.
This Time is Different
(06.03.2025)
Carmen M. Reinhart, Kenneth S. Rogoff, 2009
Certainty is the pinnacle of economic crisis. It has been for centuries. We're not living in different times. Same patterns and same hubris.
Chengshu Li, 2024
Getting models to code instead of think can dramatically improves logical reasoning. Writing functions forces precision that pure reasoning misses.
Hannan V . Zubizarreta, Samuel Azasu, Elena Lacilla, 2024
ESG practices boost real estate financial performance through operational efficiencies, lower risk, and investor appeal. The gains aren't uniform across markets, regulations, or ESG components.
Real Estate and Biodiversity: What You Need to Know
(18.01.2025)
Jessica Diaz Avelar, Marion Hammerl, George Jaksch, Julio Leal, Maria Matamoros, Danielle Pieranunzi, Kurt Steiner, 2023
Setting a biodiversity strategy starts with one hard truth: understand before you solve. Everything else follows from there.
Prompt engineering as a new 21st century skill
(10.01.2025)
Denis Federiakin, Dimitri Molerov, Olga Zlatkin-Troitschanskaia, Andreas Maur, 2024
Communication determines everything in AI-augmented work. How clearly you transmit intention and context is what separates terrible output from brilliant results.
Chiara Mio, Marco Fasan, Francesco Scarpa, Antonio Costantini, Aoife Claire Gitzpatrick, 2025
ESG score differences erode investor confidence, weakening the scores' ability to actually move equity prices.
Revisiting the Role of Technology in the US Equity REITs-Climate Change Nexus: The GARCH-MIDAS Approach
(16.12.2024)
Oluwaseun Ajayi, Kazeem O. Isah, 2024
Physical and transitional climate risks boost REIT volatility.
Afees A. Salisu, Ahamuefula E. Ogbonna, Elie Bouri, Rangan Gupta, 2024
Climate risks boost REIT return volatility across developed and developing countries. But drill down to sectors and the pattern flips: industrial, retail, and self-storage REITs actually see less volatility from climate risk.
The Science of Leadership
(17.09.2024)
Tom Collins
Clean, research-backed take on what leadership actually means. Shows you what studies say about effective leaders.
Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara, 2024
Models love their own work, round numbers, and stick to familiar anchors. Turns out AI bias looks exactly like human bias.
Michael Moritz, Berit Hanna Czock, Oliver Ruhnau, 2024
Heat pumps win as the most cost-efficient renewable system across rural and urban settings. Synthetic natural gas fails economically in most configurations.
Le Pouvoir Rhétorique
(07.07.2024)
Clément Viktorovitch, 2021
Words carry ideas. Clear words make them land.
Language Models are Few-Shot Learners
(04.06.2024)
Tom B. Brown et al., 2020
Models work better with examples, just like humans do. Few-shot prompting delivers powerful results without the cost.
On the Folly of Rewearding A, while Hoping for B
(12.05.2024)
Steven Kerr, 1995
Conflicting objectives create chaos, whether you're managing teams, building systems, or handling data. We get the results we measure for.
Becoming the Evidence-Based Manager: How to Put the Science of Management to Work for You
(05.03.2024)
Gary P. Latham, 2018
We assume that caring for others at work comes naturally. It doesn't. Evidence-based approaches to leadership and team care are incredibly powerful. Too few uses them.
The Book of Beautiful Questions
(05.01.2024)
Warren Berger, 2018
Reality is messy. Most challenges don't have clear answers. Humble questions are just better ways to think through them. When you're comfortable with uncertainty, the right questions become your navigation system.
Federica Cadamuro Morgante, Maryam Gholamzadehmir, Leopoldo Sdino, Paolo Rosasco, 2023
What sustainability experts actually focus on: economic viability, social impact, and whether people's lives get better.
Christophe Genoud, 2023
We spend thousands of hours at work, then let workplace BS dominate instead of what actually works. Time to cut the feel-good nonsense and focus on approaches that are genuinely effective.
Money & Macro
(30.06.2023)
Joeri Schasfoort
Goes deep on macroeconomic trends and actually explains the money behind global politics. Cuts through news headlines to show you what's driving international events.
Patrick Boyle on Finance
(12.06.2023)
Patrick Boyle
Solid breakdown of current market trends and economic news without the usual YouTube finance bro nonsense. Actually explains what's happening.
The Superiority of Economists
(15.05.2023)
Marion Fourcade, Etienne Ollion, Yann Algan, 2015
Finally put deep and clear words on a long time feeling. An essential for authocritics and thinking the field of economics in it's own system.
Sayce, S. L., Clayton, J., Devaney, 2022
Climate risk are not yet integrated into real estate prices.
The Making of a Manager
(20.04.2023)
Julie Zhuo, 2019
Solid book on imposter syndrome that goes beyond personal struggles. Covers responsibility for protecting the people and teams you lead.
Aggregate Confusion: The Divergence of ESG Ratings
(15.04.2023)
Florian Berg, Julian F. Kölbel, Roberto Rigobon, 2022
ESG score divergence is explained by measurement differences (56%), scope variations (38%), and weighting choices (6%). Within measurement divergence, raters' overall firm perceptions bias their scoring of individual ESG categories.
Graeme Newell, Anupam Nanda, Alex Moss, 2023
ESG rating approaches span four levels, based on asset type and data collection. Current methodologies show significant gaps in measuring social outcomes, governance effectiveness, and climate risk quantification.
Shirley Kempeneer, Michaël Peeters, Tine Compernolle, 2021
ESG real estate evaluations ignore user well-being. Ratings diverge because of scope, indicators, and aggregation differences.
Jim Clayton, Steven Devaney, Sarah Sayce, Jorn Van de Wetering, 2021
Climate risk pricing works differently across locations—areas already hit might have risk baked in or ignore future threats, while new areas face stronger, longer-lasting effects. The risk spreads beyond individual buildings to entire areas, but valuers often lack the cross-disciplinary knowledge to price it right.
Monica Billio, Michele Costola, Iva Hristova, Carmelo Latino, Loriana Pelizzon, 2021
ESG ratings vary because of scope and design differences. Even firms with consistently good ESG scores across different systems show no performance advantage. The rating heterogeneity spreads ESG investments too thin to create real returns.
Hlavard Buhaug, Nina von Uexkull, 2021
Shows how vulnerability, conflict, and climate change feed off each other. Creates a vicious cycle that traps societies in escalating violence and environmental damage.
Impact of Environmental Investments on Corporate Financial Performance: Decomposing Valuation and Cash Flow Effects
(13.05.2022)
Avis Devine, Erkan Yönder, 2021
Sustainable REITs earn premiums, face lower systematic risk, attract informed traders, and generate higher rental revenue with better operating income and cheaper financing. Reputation drives much of this advantage.
The Influence of Firm Size on the ESG Score: Corporate Sustainability Ratings Under Review
(07.05.2022)
Samuel Drempetic, Christian Klein, Bernhard Zwergel, 2019
Larger firms score better on ESG ratings. This might reflect better sustainability reporting, not better sustainability practices.
A Dictionnary of Color Combinations
(12.04.2022)
Sanzo Wada, 2010
Changed how I think about taste completely. Turns out good taste isn't something you're born with. It's something you develop.
Synthetic Controls With Staggered Adoption
(11.08.2021)
Eli Ben-Michael, Avi Feller, Jesse Rothstein, 2021
Essential paper for synthetic control methods. A powerful analytical tool that is genuinely intuitive.
Michele Beine, Lionel Jeusette, 2021
Great meta-analysis for understanding identification problems in climate change research. Reveals that applied econometrics is as much about methodological taste as technical precision.
Joshua D. Angrist, Jörn-Steffen Pischke, 2009
Essential for applied econometrics. Goes beyond just using classical tools to actually understanding what they tell you.
The Reader Over Your Shoulder
(04.05.2020)
Graves Robert, 1944
Never understood how a writing book could be this dense. Taught me I'll never be great, but I can get better.
Climate Econometrics
(20.05.2019)
Solomon Hisang, 2016
Essential for econometrics work on climate change. It lays the foundation for solid identification strategies.
Ordinary Men
(22.06.2015)
Christopher R. Browning, 1998
Classic crowd psychology. Shows how groups override individual judgment.
Le Don, la Dette et l'Identité
(14.04.2014)
Jacques Godbout, 2000
Put self-interest driven actors in perspective. Open to different ways of seeing society's interrelations