2 min readfrom Machine Learning

software trying to catch software is officially a dead en [D]

I feel like we've crossed a weird threshold in the generative AI space where the arms race against botnets is just over. and the bots won

I was reading that interview recently where the Reddit CEO was floating the idea of using Face ID and Touch ID just to verify that commenters are actual humans. it honestly hit me how absurd things have gotten. standard heuristics and behavioral analysis are completely useless now against modern LLMs, and vision models solve captchas faster than I can. the dead internet theory is basically just our daily engineering reality at this point

we are at a stage where the only reliable way to prove you aren't an automated script is to literally anchor your digital presence to your physical biology. From a purely technical standpoint, it’s fascinating seeing the shift toward hardware verification. like looking at the engineering behind that Orb device the idea of doing local biometric iris hashing on custom hardware just to output a zero-knowledge proof of personhood. It's wild that we actually need dedicated physical devices now just to enforce the concept of "one human, one account"

it makes total sense why platforms are pushing for this, beacuse trying to build software firewalls against infinitely scalable AI agents is a losing battle. but it just feels like such a massive, permanent shift for how the internet works. idk, is anyone else working on sybil resistance right now? are we just collectively accepting that biometric hardware gates are the only way to save the web from being 99% synthetic noise?

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