Ai Frontiers

Reproducing Stanford’s Mirage Paper: When Frontier AI Models Hallucinate Entire Images

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A Stanford team led by Fei-Fei Li reveals that frontier multimodal models—GPT-5, Gemini-3-Pro, Claude Opus 4.5—confidently describe images that were never provided, achieving top benchmark scores without visual input. The implications for medical AI are alarming.

Beyond the Hype: Why I Built a Local Dual-GPU Rig for Implementation-First AI Research

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Let’s cut through the hype: most AI research assumes you have a massive budget, but in my homelab, reality is measured in GPU temps and Python execution speed. I’m stripping away the fluff to see which ‘frontiers’ actually matter when you’re running on bare metal. Let’s see what’s worth our compute cycles. If you’ve spent any time reading my thoughts over at AI … Read more