My Weird Prompts

The Clipboard That Opens Any Door

20 min · 1. heinä 2026
jakson The Clipboard That Opens Any Door kansikuva

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What happens when someone gets paid to lie their way past security guards, clone access badges, and talk their way into server rooms — and getting arrested is just a budgeted expense? This episode unpacks the strange, precarious world of physical penetration testing. From TSA Red Team operators smuggling mock explosives through checkpoints 95% of the time, to testers spending hours in holding cells with a "get-out-of-jail letter" the police don't believe, we explore who does this work, who hires them, and whether the whole thing actually makes us safer or just creates better theater. Featuring clipboard-as-skeleton-key, retired UPS delivery pretexts, and safe words straight out of a Cold War thriller.

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jakson Embedding Models vs LLMs: What Actually Connects? kansikuva

Embedding Models vs LLMs: What Actually Connects?

Daniel asks two sharp questions about RAG pipelines: does your embedding model constrain which LLM you can use, and why are new embedding models still releasing if embeddings feel like a solved problem? We break down the architectural decoupling between embedding models and LLMs — they're different neural networks trained for different objectives, and any embedding works with any LLM. But that clean answer makes the second question more urgent: the real innovation in embedding models isn't about general benchmarks — it's about fixing specific failure modes like domain specialization, multilingual alignment, and silent drift that only show up at scale. We also unpack the "silent drift" problem where an auto-embedding model upgrade can quietly break retrieval without anyone noticing until support tickets spike.

4. heinä 202627 min