Category Archives: Gen AI

When AI builds itself

“For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given … Continue reading

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Martin Milani: “Don’t delegate reasoning and operational decisions to systems.”

Martin Milani: “This is not an argument against AI, it is an argument for not outsourcing the thing that made us capable of building it. It’s manageable when any of these tools simply extend human thinking and intelligence. It becomes … Continue reading

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Don’t Talk English to Your LLM

This is the title of Rod Johnson‘s post: “Just because LLMs are eloquent in natural language doesn’t mean that we should always communicate with them in it. Where important processes are concerned, humans themselves don’t communicate in natural language. Experience … 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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MIT: Shadow AI in Business 2025

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The next much more meaningful chapter will be about human–AI symbiosis, not parroting chatbots

Martin Milani commented on Thomas Kehler’s article “Is windetr on the horizon for Generative AI?“: “The next much more meaningful chapter will be about human–AI symbiosis, not parroting chatbots. Like the dot-com bust, this bubble will burst, and AI will … Continue reading

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The Intuition Behind How Large Language Models Work

Prof. Mark Riedl posted intuitive explanations of how LLMs, LLM-chatbots, and Agentic AI work:Part I “LLMs and chatbots“Part II “RAG, Chain of Thought, Agents“

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The Rise of Small Language Models (SLMs)

Specialized small language models (SLMs) can outperform large, generalist models. Want to learn how? Read Armand Ruiz’s post on LinkedIn: “Inference is cheaper. Iteration is faster. Fine-tuning takes hours, not weeks. SLMs can run locally, privately, and securely and no … Continue reading

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Gartner: “AI is not doing its job”

Speaking at the firm’s Data & Analytics Summit in Sydney, Australia, Gartner’s global chief of AI research Erick Brethenoux: “AI is not doing its job today and should leave us alone.” Brethenoux said the current wave of AI hype is fueled … Continue reading

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The U.S. Copyright Office has spoken!

Cassie Kozyrkov shared: Your Creative Edits = ✅ CopyrightableYour Creative Edits + AI Output = ✅ CopyrightableUnedited AI Output = ❌ Not CopyrightableYour Prompts + Unedited AI Output = ❌ Not Copyrightable Here’s the actual text from their published PDF: … Continue reading

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