Artificial Intelligence (AI) assessments indicate that these models can reason at a similar level to a 2-year-old. This idea was explored in a recent video featuring experts from Google discussing the current state of AI solutions and practical applications. The panel highlighted the youthful nature of AI, likening it to the learning trajectory of a young child. They discussed how AI learns to recognize objects, similar to how a child might learn about a zebra after seeing pictures of it. Additionally, they mentioned technologies that aim to “infantize” AI, such as building a network on ‘baby AI’ models that work together, reminiscent of Marvin Minsky’s concept of the brain being made up of interconnected computers.
The Google experts also delved into the development of a sentence simplification engine that breaks down complex narratives into simpler components. They emphasized the importance of focusing on the problem at hand and diving in to get started, offering advice to new innovators. The discussion touched on domain knowledge and adaptation, highlighting techniques like supervised fine-tuning to tailor AI systems for specific tasks. They compared fine-tuning to method acting for Large Language Models (LLMs) and discussed humanizing AI by giving it a personality, using Sherlock Holmes as an example.
The conversation then shifted to extending AI for complex workflows, with mention of asynchronous day trading and the model’s bias in classifying tasks as bullish or bearish. They noted an interesting observation where every tweet was classified as bearish, possibly due to the model’s trained assessment of the platform. The panel also discussed measures to prevent hallucinations in AI, such as integrating a language model with a database to leverage their respective strengths. They touched on topics like optimization problems, training on sensitive data, and safeguarding data privacy, whether using proprietary models or others’.
The concept of simplifying AI into manageable components was highlighted as a valuable approach for future advancements. The idea of a sentence simplification engine resonated with the notion of simplifying complex content for better understanding. The prospect of utilizing AI to streamline information consumption is an intriguing prospect moving forward. As discussions in the AI field continue, there is potential for further exploration of innovative ways to harness AI for various applications. Stay tuned for more developments in the exciting world of AI.
