Category: LLM
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“Personality” in a Machine: What Do We Mean?
LLM coding personalities: recognize archetypes, biases, and failure modes—calibrate prompts and reviews to harness strengths.
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Small Models, Big Brains: Why Less Might Be the Future of AI Reasoning
Tiny Recursive Model (TRM) outperforms huge LLMs on reasoning tasks — efficient, sustainable AI for mobile and resource‑limited devices.
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Two Protocols, Two Futures: OpenAI’s ACP vs. Anthropic’s MCP
Protocol wars: OpenAI’s commerce-focused ACP vs Anthropic’s integration-first MCP — will AI become buyer, connector, or a hybrid?
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An LLM Made of Redstone Bricks: What CraftGPT Really Teaches Us
CraftGPT: an LLM built from Minecraft Redstone — a physical, mind-bending demo of latency, quantization, and engineering tradeoffs.
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From Prompt Packs to Purpose-Built Models: When a Generalist Becomes a Specialist—and When It Still Doesn’t
Prompt Packs turn general LLMs into near-specialists: start with prompts, add retrieval, then fine-tune for accuracy and governance.