Benny Cheung wrote: “I keep running into the same pattern: every fundamental AI problem I hit, some philosopher already diagnosed it centuries ago.” Link

Benny Cheung wrote: “I keep running into the same pattern: every fundamental AI problem I hit, some philosopher already diagnosed it centuries ago.” Link

DecisionCAMP-2026 is honored to welcome Philippe Kahn, a distinguished mathematician, inventor, and scientist, as its keynote speaker. Link
Dr. Roger Mozer: “Despite AI advances, many companies are not seeing meaningful improvements in overall performance. Strategy execution remains uneven. Cross-functional alignment is fragile. Decision-making is often faster in parts of the organisation, but no more coherent across it.
This disconnect is not a failure of AI. It is a misunderstanding of what AI actually changes.
AI does not simply improve tasks. It reshapes how decisions are made, how those decisions connect across workflows, and ultimately how organisations themselves are structured. When these three layers are misaligned, even the most advanced AI produces only local gains. When they are aligned, the result is not just better performance, but a different kind of enterprise.” Link
Prof. Warren Powell: “There are a LOT of drivers who have no idea how a car works, but they get to where they need to go. The challenge faced by AI developers is to create tools that work like cars, since that is the only way these tools can scale to the market needed to cover the investment in computing infrastructure.” Link
Ron Ross: “GenAI has demonstrated something that should have been obvious all along: Text is how humans communicate knowledge. GenAI answers your prompts in sentences. That shouldn’t surprise you – it’s simply how humans communicate.” Link
This April-2026 Challenge aims to explore how LLMs orchestrate rule-based decision services. It describes three loosely coupled medical services:
Your LLM should use these three services (instead of its own general “knowledge”) to determine a therapy for a patient with Acute Sinusitis. Here is a possible request: “I have a patient diagnosed with Acute Sinusitis. He is 58 years old, weighs 78 kg, and has a creatinine level of 1.85. Keep in mind that he is Penicillin-allergic and takes Coumadin.” Link
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 in combining LLMs and constraint solving.
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 appear to see when they do not, reason about images that were never provided, and achieve high benchmark scores without genuine
visual access.” Link
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 from my decades of attending the Informs meetings, which consist almost exclusively of academics (professors and Ph.D. students) presenting mathematical models and algorithms, all dreaming of real-world applications.
SDP consists entirely of business professionals who are directly involved in the process of making decisions within their companies. I spent a career making trips to observe real-world problems in the field. I was immediately struck that I was sitting in a room full of people who actually make decisions rather than just talk about it.” Link
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 LLM and are much better catered for by true sourcing optimization tools. Use the LLM for the qualitative heavy lifting; let the optimization engines handle the math.” Link
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