Category Archives: Artificial Intelligence

Submissions Review for Apr-2026 Challenge “Agentic Medical Services”

We received five submissions for the Apr-2026 Challenge and asked Jeremiah Connelly of Novus-Forge to provide a comparative analysis. He wrote: “The April 2026 challenge sits at an intersection that is increasingly relevant to anyone building production systems with AI: … Continue reading

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Major uses of Agentic AI within the Decisioning Context

This topic is posted in our Q&A forum: Read more and share your experience with the current use of Agentic AI in real-world decision-making systems.

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What does ‘AI’ mean to you?

This question was asked by John Brandon Elam. Here is Adam DeJans Jr’s answer: “AI means the cost of clerical intelligence is going to zero. The email, the report, the dashboard commentary, the SQL query, the first draft of code, … Continue reading

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ChatGPT has solved a 60-year-old math problem

Artificial intelligence has recently made headlines for solving a number of “Erdős problems,” conjectures left behind by the prolific mathematician. Now, a 23-year-old with no advanced training in mathematics but a ChatGPT Pro subscription has solved one such problem #1196. “He received … Continue reading

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Genealogy of AI

Martin Milani: “Every day, a new AI infographic shows up. More layers. More terms. More boxes and arrows. Architectures stacked on top of architectures. Term salad put through a blender. But almost none of them start with the one fundamental … Continue reading

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Philosophy is the most underrated engineering skill

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

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Using AI like Driving Cars

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, … Continue reading

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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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