Discussion on the current state and future implications of generative AI, including its ability to outperform humans in complex tasks. Exploring AI capabilities in listening, speaking, and personal interaction, and its usefulness as it gains context and connections. The evolution and convergence of generative AI from GPT 3.5 to GPT 4 and its impact on public conversation and developer responsibilities.
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Quick takeaways
The first phase of generative AI, initiated by ChatGPT, is nearing its end, as seen with the upcoming launch of Google's Gemini that is expected to surpass OpenAI's GPT-4 in terms of AI capabilities.
Combining AI's large language models with image recognition enhances their interaction with the world, allowing them to perform complex tasks like deciphering handwritten texts, coaching photography, making medical diagnoses, and piloting robots.
Deep dives
Shape of the shadow of the thing
According to Dr. Ethan Molick, we are reaching the culmination of the first phase of the AI era, which started with the launch of chat GPT 10 months ago. The upcoming launch of Google's Gemini, expected to surpass OpenAI's GPT-4, signifies the progress made in AI capabilities. Although AI continues to improve, the actual implications for work and education remain unknown, even to the developers. While the current models have their flaws, they have the potential to outperform humans in complex tasks and assist in various domains such as medicine and image creation.
Expanding Capabilities with Vision
Combining image recognition with AI's large language models (LLMs) enhances their interaction with the world. These vision capabilities enable AI to decipher handwritten texts, coach photography, perform medical diagnoses, and even pilot robots. However, AI's facial recognition abilities raise concerns about privacy and misuse. Nevertheless, the ability of LLMs to generate their own images indicates a shift towards self-improvement and more sophisticated creativity.
Voice and Connection: New Interactions and Context
AI's gaining the ability to listen and speak, combined with the LLM's capabilities, opens up new possibilities. Students pitching their startups to AI-powered seed stage venture capitalists achieved positive results, demonstrating realistic feedback. Conversing with AI feels personal, generating an illusion of human interaction. Furthermore, connecting AI's to the internet and personal data enhances their usefulness, offering context and connections that improve performance and potential applications. However, the implications of AI making complex inferences about individuals remain unclear.
A reading and exploration of Prof. Ethan Mollick's The shape of the shadow of The Thing https://www.oneusefulthing.org/p/the-shape-of-the-shadow-of-the-thing
The piece argues that a vision of artificial intelligence is coming into view, if haltingly, and that we're near to the end of the first phase of generative AI, which was kicked off by ChatGPT.
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