Monthly Archives: March 2026

LLM-Solve 2026

The workshop “LLMs meet Constraint Solving (LLM-Solve)” aims to bring together researchers exploring the intersection of Large Language Models (LLMs) and Constraint Solving (CP, SAT, SMT, MIP, and related paradigms). This workshop provides a platform to discuss recent advances, challenges, and opportunities … Continue reading

Posted in Constraint Programming, LLM, Optimization | Leave a comment

AI Mirages

Derek Bridge wrote today: “You’ve heard about hallucinations. Now hear about mirages. Multimodal models may reason and answer questions about images that are not supplied.” He refers to this article, which states: “In summary, we show that multimodal AI systems can … Continue reading

Posted in Artificial Intelligence | Leave a comment

The Society of Decision Professionals (SDP)

The Society of Decision Professionals (SDP) is dedicated to the practice of decision analysis and decision quality. SDP is currently the only certifying body for decision professionals. Here is what Warren Powell wrote about it: “This was such a contrast … Continue reading

Posted in Decision Making | Leave a comment

AI Agents are Going Beyond Chatbots

Bart Peetermans posted: “We are rapidly moving past the ‘Chatbot’ phase and into the ‘Autonomous Agent’ phase… LLMs are not Calculators! LLM-based agents are NOT a replacement for optimization. Linear and non-linear scenario analysis go beyond the abilities of an … Continue reading

Posted in Agents, Artificial Intelligence, Optimization | Leave a comment

Enterprise AI is moving toward Decision Systems

Adam DeJans Jr describes how to think about decision systems through the lens of sequential decision problems. “Most operational environments are not one-time optimization problems. They are ongoing processes where decisions must be made repeatedly as the state of the … Continue reading

Posted in Architecture, Decision Modeling, Decision Optimization, Decision Tracing, Uncertainty | Leave a comment

Bigger Models or Smarter Teams?

Philippe Kahn posted today at LinkedIn: The focus on creating larger AI models has been prevalent, but what if the key to achieving AGI lies in collaboration among AI systems? It’s clear that relying on a single “God Model” may … Continue reading

Posted in Agents, Artificial Intelligence, Human Intelligence, Human-Machine Interaction | Leave a comment

Peter Norvig about LLMs

In December 2009, Peter Norvig—then Director of Research at Google—delivered his lecture “The Unreasonable Effectiveness of Data,” at University College Cork. The alternative title was “Billions of Trivial Data Points Can Lead to Understanding.” I was fortunate not only to … Continue reading

Posted in LLM | Leave a comment

New Tools and Skills Shift

Read the LinkedIn article written by Jacob Feldman

Posted in Digital Transformation, Human-Machine Interaction, Trends | Leave a comment

Meaning-Driven Architecture

Jack Jansonius published an article, “When Data Doesn’t Know What It Means.” Many enterprise data systems suffer from a hidden problem: the data no longer “knows” what it means. Over decades, business meaning has been fragmented across processes, rules and … Continue reading

Posted in Architecture, Decision Intelligence, Decision Modeling, Knowledge Representation, Semantic Web | Leave a comment

Rules as Code 2026 Conference started in The Hague

https://rules-as-code.yellenge.nl/

Posted in Events | Leave a comment