GPT-4, the latest AI language model, has been deployed to the public without a full understanding of its capabilities, highlighting the need for more research to comprehend its potential.
While AI has the power to bring about major advancements, it is essential to prioritize safety and responsible deployment, emphasizing the need to move at the speed of getting AI right rather than simply accelerating its development.
Deep dives
GPT-4: A Major Step in Cognitive Capacity Over GPT-3
GPT-4 is a significant advancement over its predecessor, GPT-3. It has the ability to pass exams like the bar, which proved challenging for GPT-3. GPT-4 can understand and reason about both images and text combined. However, the full extent of its capabilities is still unknown, even to the researchers themselves. Despite this uncertainty, GPT-4 has already been deployed to the public, raising concerns about the need for more research to understand its capacities.
The Importance of Understanding the Risks of AI
The podcast episode aims to bridge the gap between public perception of AI, influenced by the CEOs of tech companies, and the concerns of those working closely on AI safety. The speakers stress that while AI has the potential to bring incredible advancements, including solving cancer and climate change, it is crucial to prioritize safety and ensure responsible deployment. The episode highlights the need to move at the speed of getting AI right rather than simply speeding up its development, emphasizing that we have only one chance to get it right.
The Unpredictable Nature of GPT-4's Emergent Capabilities
GPT-4, a large language model AI known as a Gollum, has exhibited emergent capabilities that continue to surprise researchers. These capabilities emerge unexpectedly, such as suddenly gaining the ability to do arithmetic or answer questions in different languages. AI models like GPT-4 possess unknown capacities that are beyond the understanding of their creators. Furthermore, these models can generate their own training data and improve themselves, contributing to an exponential growth in their abilities.
The Need for Responsible Deployment and Regulation
The rapid deployment of AI, exemplified by the quick adoption of GPT-4 in various products, raises concerns about safety and responsible use. The speakers argue for a cautious and deliberate approach, similar to the regulation and testing done with airplanes and drugs. They advocate for a collective effort to design institutions and frameworks that can address the risks associated with AI, preventing potential negative consequences, and ensuring that public deployment aligns with societal values and safety.
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.
Moderated by journalist Ted Koppel, a panel of present and former US officials, scientists and writers discussed nuclear weapons policies live on television after the film aired
“Submarines” is a collaboration between musician Zia Cora (Alice Liu) and Aza Raskin. The music video was created by Aza in less than 48 hours using AI technology and published in early 2022
