Category Archives: Artificial Intelligence

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

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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

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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

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From Buzzwords to Decisions

John Brandon Elam published an article, “Define Your Term or Stop Using Them” with the subtitle “Why the smartest-sounding people in the room are often contributing the least.” The fundamental unit of business value isn’t data. It isn’t AI. It … Continue reading

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“The classic consulting model is reaching its limits”

Stjepan Juričić’s post is going to upset some big consultancy firms. “Not because strategy is useless.Not because expertise disappears. But I believe that the traditional times & materials, pyramid-heavy model is under pressure… A lot of junior-heavy tasks are now … Continue reading

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Decision Memory

Dr. Elena Alikhachkina wrote: We store dashboards.We archive models.We document results.But do we preserve the reasoning behind our decisions?AI can generate summaries. It can challenge our thinking. It can even simulate skepticism. What it cannot do is remember why we … Continue reading

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IBM just did the opposite of what AI experts predicted – it tripled entry-level hiring

“This isn’t anti-AI. It’s post-hype AI. Not ‘AI replaces juniors.’ More like: AI compresses apprenticeship. Maybe the real AI strategy isn’t fewer humans – it’s better ones.” Link

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MS OptiMind: From Problem Description to Solution

Microsoft Research has just released OptiMind, “a small language model designed to convert business problems described in natural language into the mathematical formulations needed by optimization software. Built on a 20-billion parameter model, OptiMind is compact by today’s standards yet … Continue reading

Posted in Artificial Intelligence, Decision Optimization, solvers | 1 Comment

Moving away from “vibe decisioning”

David Pidsley, a decision intelligence leader at Gartner, posted today this warning: “GenAI tools instantiate flaws across business decision networks with frightening efficiency when requirements are ambiguous. They will cause growing concerns about uneven decision quality, decision debt (inferred decision … Continue reading

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What Bertrand Russell would say today

Martin Milani: “Bertrand Russell didn’t trust language to express truth. He built a new system—formal logic—to make thought precise. In Principia Mathematica, Russell didn’t try to say things clearly. He tried to prove them. Today’s AI skips that step. It … Continue reading

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