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Building Trustworthy AI Agents - Schneier on Security
Building Trustworthy AI Agents - Schneier on Security
The promise of personal AI assistants rests on a dangerous assumption: that we can trust systems we haven’t made trustworthy. We can’t. And today’s versions are failing us in predictable ways: pushing us to do things against our own best interests, gaslighting us with doubt about things we are or that we know, and being unable to distinguish between who we are and who we have been. They struggle with incomplete, inaccurate, and partial context: with no standard way to move toward accuracy, no mechanism to correct sources of error, and no accountability when wrong information leads to bad decisions...
·schneier.com·
Building Trustworthy AI Agents - Schneier on Security
awwaiid/gremllm
awwaiid/gremllm
Delightfully cursed Python library by Brock Wilcox, built on top of LLM: from gremllm import Gremllm counter = Gremllm("counter") counter.value = 5 counter.increment() print(counter.value) # 6? print(counter.to_roman_numerals()) # VI? You …
·simonwillison.net·
awwaiid/gremllm