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Interesting points. In December, it was hard to imagine what a dumb AI could do and we were trying hard to make it smarter and more useful. Today, I can see t

Interesting points. In December, it was hard to imagine what a dumb AI could do and we were trying hard to make it smarter and more useful. Today, I can see the concern. Not that it is intelligent and thinking, but that a runaway command could cause the AI to make something smarter. (Although, I still can barely use any GPT4 code, so I'm not going to panic)

TeMPOraL 3y ago
> (Although, I still can barely use any GPT4 code, so I'm not going to panic) It's hit or miss for me, but I feel mostly because I don't have much time/opportunity to try and truly explore its capabilities. A single-shot GPT-4 ain't gonna do anything nefarious, but it isn't clear to me that a cleverly constructed ensemble of 10 or 20 or 50 of "agents" running in parallel, each with a different role and all talking amongst themselves, isn't going to add up to something potentially smart and powerful. Sure, right now such setup would burn through your wallet real fast. But it's not that expensive - especially not for companies. The real limit won't be the money, but... rate limiting OpenAI and Microsoft impose on their model deployments. But that rate limiting is negotiable, especially for a large customer - and then Open Source community is working hard to create open models of similar power, thus reducing the costs down to raw compute bill.
- hospitalJail 3y ago
  Not to mention, you could use the various offline models.