@lesliedeanbrown@WIRED omg, supermarkets are killing people! Why do you hate supermarkets so much? Where else would you buy groceries when you ban them to slow down jihadi mfs?
@kentcdodds How'd you protect your code bases against malicious code produced by agents? Code that can hide itself + spread further via prompt injection. Every reviewing AI may fall victim to that. Or do you have AIs that can't be tricked because they separate data+code? Which ones?
@KimZetter I just posted there about this.
Another reason could be to protect users from aggressive pushback / counterattacks from the models, but then they could've warned the users about that. But this might create more FUD.
We'd only find out from leaks.
https://t.co/v0ZLZiVQyW
@DevShah__@bgurley They could filter everything out or rephrase everything, but that would alter the data with Claudish, for example, making it more biased than when the sources rephrase themselves
@DevShah__@bgurley They could filter everything out or rephrase everything, but that would alter the data with Claudish, for example, making it more biased than when the sources rephrase themselves
Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:
Moving all testing to Delta Airlines flights, where accessing the Internet is utterly impossible!
@MrFiberNet@0xSero Use of DRAM cache means the opposite. Once the cache is full, rates are going down because of cache misses. So unless your data fully fits in the RAM, this is unsustainable by definition.
@JeromySonne OpenAI's so gonna burn Anthropic's server racks totally accidentally while evaluating an internal model. Anthropic doing the same with OpenAI's server racks. Unsure whose racks Google's gonna target. Microsoft? Or rather Google DeepMind and Gemini?