Generative AI is rapidly undermining the reliability of traditional hiring signals, making it easier for candidates to manufacture polished résumés and perform convincingly in remote interviews with real-time assistance tools. Interviews with 120 talent-acquisition leaders and an analysis of more than 6,000 screening sessions show that companies now risk selecting for candidates who are best at navigating the hiring process rather than best equipped to do the job. To adapt, organizations must redesign early-stage hiring around authentic reasoning, judgment, and adaptability instead of static credentials and scripted interviews.

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guestlist returns tier ratings (green/yellow/orange/red) for whether AI agents and computer-use agents can access any website. Free Python library + API.

Fujifilm X-mount lens database. 169 lenses across 10 brands. Normalized specs, cross-brand comparison.

20 multi-hour SWE tasks spanning library reproductions, full-stack product clones, and ML engineering. 1,300 logged trials; frontier configs stay below 19% task resolution.

Veris comes up with realistic scenarios you wouldn't, runs them in parallel, and surfaces the failures you don't know to look for.

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XWiki and OpenProject deliver digital sovereignty, clear cost predictability, and compliance-ready deployments. The stack is open source, auditable, and supported by experienced teams. We’ll show battle-tested migration paths (including large instances and high user counts), feature mapping for parity, and how to keep your identity model intact with SSO or LDAP.

I am the sort of spaced repetition enthusiast who likes what I'll call the "purist's model" of spaced repetition, where: You learn something and write a goo...

on amateurs and launch disasters and turning mistakes into opportunities