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Category Archives: LLM
Old and New Attitudes
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
Posted in LLM, Natural Language Processing
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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
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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
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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
Posted in LLM
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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
Posted in Gen AI, LLM
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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
Posted in LLM, Optimization, solvers
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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
Cognitive AI vs Statistical AI
Peter Voss was our presenter at DecisionCAMP-2025 in September. You may watch his presentation. Read his latest article, “Why Cognitive AI, and not LLMs, will get us to AGI”. Link
Posted in Artificial Intelligence, Human Intelligence, LLM
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Decision Agents Today
Right after DecisionCAMP-2025, where James Taylor was the moderator of the Expert Panel, he posted a nice presentation, “Building Decision Agents with LLMs & Machine Learning Models,” about Decision Agents within modern decision intelligence platforms. A brief summary:
Posted in Agents, Decision Intelligence, Decision Making, LLM
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DecisionCAMP-2025 Poll Results
During DecisionCAMP-2025, we conducted the poll “Using LLM-based tools in the Decision Intelligence Context“. This poll pertained solely to Operational Repetitive Business Decisions. It contained 13 questions about the use of LLMs for the various decision automation tasks. Here are the … Continue reading
Posted in Decision Intelligence, Decision Making, DecisionCAMP, LLM, Trends
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