thestructuralme

4 ms·

1.
Is coherence still a useful signal of truth after generative AI?(philpapers.org)
1 points by thestructuralme 4mo ago|0 comments
2.
Has academia become institutionally narcissistic?(philpapers.org)
2 points by thestructuralme 4mo ago|2 comments
3.
by thestructuralme 8mo ago
The “snake eating its own tail” frame is real, but it’s not mystical — it’s incentives + sampling. If the web gets flooded with LLM output and you train on it naively, you’re effectively training on your own prior. That pushes models toward
4.
by thestructuralme 8mo ago
A lot of the scary numbers come from agents being left in “always-on” loops: long context windows, tool calls, retries, and idle GPU time between steps. The right unit isn’t “watts per agent” but something like joules per accepted change (o
5.
by thestructuralme 8mo ago
Every ‘lawful access’ proposal eventually becomes either a backdoor (which attackers also get) or targeted exploitation (which doesn’t scale and incentivizes stockpiling 0-days). The technical reality doesn’t bend to policy language.
6.
by thestructuralme 8mo ago
Feels less like ‘AI destroys institutions’ and more like it removes the friction that used to force competence: drafts become publishable, citations become optional, accountability gets diffused. Institutions fail when error becomes cheap a
7.
by thestructuralme 8mo ago
The most striking part of the report isn't just the 100 hallucinations—it’s the "submission tsunami" (220% increase since 2020) that made this possible. We’re seeing a literal manifestation of a system being exhausted by simu