Category: LLM
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“Personality” in a Machine: What Do We Mean?
When we say an LLM has a personality in coding, we don’t mean it’s conscious or has opinions — rather, that given the same prompt or scenario, different models tend to adopt different coding strategies, emphases, risk tolerances, and failure modes. One might favor readability over brevity; another might lean into fancy abstractions even when…
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Small Models, Big Brains: Why Less Might Be the Future of AI Reasoning
In the race to build smarter AI, the mantra has often been “go big or go home.” Massive models with billions of parameters, trained on datasets the size of small libraries, have dominated the scene. But a new paper suggests that when it comes to solving tricky reasoning tasks, smaller might just be smarter. Titled…
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Two Protocols, Two Futures: OpenAI’s ACP vs. Anthropic’s MCP
Imagine this: It’s a Tuesday evening, and you’re buried in work. Your AI assistant notices your flight to New York got canceled due to a storm. Without missing a beat, it scans alternatives, books a new one on your credit card, coordinates a rideshare to the airport, and even reschedules your hotel— all while you…
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An LLM Made of Redstone Bricks: What CraftGPT Really Teaches Us
A few times a decade, someone takes an idea that sounds like a joke and executes it with surgical patience. CraftGPT is one of those moments: a small language model that runs inside Minecraft, wired up from Redstone like a cathedral of logic gates. The project comes from sammyuri, who released the world and code…
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From Prompt Packs to Purpose-Built Models: When a Generalist Becomes a Specialist—and When It Still Doesn’t
OpenAI’s Academy has begun to systematize something many power users discovered by trial and error: with the right scaffolding, a general-purpose model can deliver specialist-level work. The “Prompt Packs” series—role-based collections for sales, product, engineers, HR, managers, executives, and public-sector roles—codifies prompts that structure tasks, inject domain context, and specify deliverables. In effect, they turn…