Gollum AI's - What Are They?

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This is the year that all content based verification breaks. Just does not work and none of our institutions are yet able to, like they haven't thought about it. You do not know who you're talking to, whether via audio or via video. And none of that would be illegal. So I think what we're trying to show here is that when AI learns, we use transformers, treats everything as language you can move between and to. This becomes the total decoding and synthesizing of reality.

You may have heard about the arrival of GPT-4, OpenAI’s latest large language model (LLM) release. GPT-4 surpasses its predecessor in terms of reliability, creativity, and ability to process intricate instructions. It can handle more nuanced prompts compared to previous releases, and is multimodal, meaning it was trained on both images and text. We don’t yet understand its capabilities - yet it has already been deployed to the public.

At Center for Humane Technology, we want to close the gap between what the world hears publicly about AI from splashy CEO presentations and what the people who are closest to the risks and harms inside AI labs are telling us. We translated their concerns into a cohesive story and presented the resulting slides to heads of institutions and major media organizations in New York, Washington DC, and San Francisco. The talk you're about to hear is the culmination of that work, which is ongoing.

AI may help us achieve major advances like curing cancer or addressing climate change. But the point we're making is: if our dystopia is bad enough, it won't matter how good the utopia we want to create. We only get one shot, and we need to move at the speed of getting it right.

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