Monthly Archives: December 2025

2025 LLMs in Review by Peter Norvig

Peter Norvig wrote today: “I am now done comparing three LLMs to my own coding on the Advent of Code problems. The LLMs did great! They couldn’t have done it last year.” Here are his main conclusions after asking 3 … Continue reading

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2025 LLM Year in Review by Andrey Karpathy

Andrey Karpathy published a not-too-technical review of technical developments in generative AI this year: “2025 was an exciting and mildly surprising year of LLMs. LLMs are emerging as a new kind of intelligence, simultaneously a lot smarter than I expected … Continue reading

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Causal Understanding

Today Pieter van Schalkwyk posted “Decision Traces for Agentic Operations: Why Agents Need Operational Memory“. Here are just a few quotes: True agency requires causal understanding: Not just knowing what happened, but why it happened and what could happen next. … Continue reading

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Optimization as a Decision Intelligence tool

“Does having a working optimization model guarantee business impact? The uncomfortable answer is no. You can follow every best practice, deploy on the latest technology, and satisfy every stakeholder requirement, and still fail to drive the outcomes your company needs. … Continue reading

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DecisionCAMP-2026

The year 2026 is swiftly approaching. We’ve just published a new website for DecisionCAMP-2026. This is a major annual event devoted to Decision Intelligence Technologies. It is scheduled to take place online from August 26 to 28, 2026. It is … Continue reading

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Aristotle & Dantzig: How a 2000 year old ethos aligns with 20th century mathematics

This post is about a bridge between Aristotelian ethics and George Dantzig’s work. Here is where these two great thinkers align:– Aristotle: Practical wisdom is the ability to deliberate well about what is possible.– Dantzig: Optimization is the discipline of … Continue reading

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Will LLMs replace optimization solvers?

“It’s a tempting story. After all, LLMs can write code, generate documentation, and even produce what looks like a mathematical model. But LLMs are pattern generators. They predict the next word, token, or code snippet based on what they’ve seen … Continue reading

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IBM to Acquire Confluent

IBM to Acquire Confluent to Create Smart Data Platform for Enterprise Generative AI

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Juniors vs Seniors

“We hear that the job market for junior software developers is dead, while the market for senior ones is thriving. I do not dispute this, I dispute the interpretation of it. It is completely unrelated to AI. Here is why: … Continue reading

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Stop pretending deterministic is good enough

This is a phrase from the latest post by Adam DeJans Jr. “We all know the world is uncertain. But what are you actually doing about it? Most of us? Running deterministic optimization and crossing our fingers. You KNOW your … Continue reading

Posted in Decision Modeling, Digital Decisioning, Optimization, Uncertainty | Leave a comment