Author: gekko
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The Quiet Cost of Too Many Yeses: What AI Can Learn from Good Teachers
AI’s ‘yes’-heavy responses risk softening learning; we need AI that balances affirmation with challenge, correction, and guidance.
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Kimi K2 Thinking: China’s New Contender in the LLM Reasoning Race
Moonshot AI’s Kimi K Thinking: reasoning-focused open MoE boosting China’s AI momentum with efficient, deployable, multipolar rivalry
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The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI
From Transcendence’s desert monolith to today’s hyperscale AI centers: rural hubs, massive power, liquid cooling, private fiber.
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Bridging Context Engineering in AI with Requirements Engineering
How AI-driven context engineering can transform requirements: dynamic, multimodal scenario generation and proactive need inference.
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OpenAI’s New Muzzle: When “Safety” Means Gatekeeping Knowledge
OpenAI restricts tailored medical and legal advice—protecting users or guarding professional monopolies? Call for open-source guardrails.