The surprising rise of ChatGPT has left people wondering what the next big technological advancements will be. As society continues to adapt to new technologies, it’s crucial to consider innovations that are not only technologically feasible but also economically viable and socially acceptable.
Among the AI technologies on the horizon, four stand out: next-level GPT, humanoid robots, AI lawyers, and AI-driven science. These technologies have the potential to make significant impacts, but they must meet all three criteria to ensure widespread adoption.
One notable example is the legal chatbot developed by startup company DoNotPay. Built on large language model (LLM) technology, this chatbot can provide legal advice to defendants in court. However, its deployment has faced resistance due to concerns about practicing law without a license. While the economic potential for automation in the legal field is immense, the acceptance of robots representing humans in court remains an ongoing debate.
AI-driven science is also gaining momentum. Machine learning allows AI systems to identify patterns in data and propose novel scientific hypotheses. For instance, researchers at the University of Liverpool used a neural network to rank chemical combinations for battery materials, saving time and leading to unexpected discoveries. Although there are limitations to our understanding of how neural networks make decisions, they can inspire scientists to approach problems from new perspectives.
In the near future, we can expect to see more advanced versions of AI chatbots like GPT-4. These multimodal systems will be capable of handling various types of data, including text, images, and speech. Another breakthrough is Auto-GPT, a tool that can autonomously complete tasks based on predetermined rules and goals. While Auto-GPT currently faces installation limitations, it shows great promise in various applications.
Advancements in AI and power-dense batteries have significantly improved humanoid robots’ capabilities. Startups like Figure AI are developing humanoid robots for tasks that require navigation, maneuverability, and adaptability. These robots have potential applications in warehouses and factories. However, their long-term success will depend on factors such as production and maintenance costs.
Finding the right balance between cost-effectiveness and societal values is crucial for ensuring the widespread adoption and success of these technologies. While computation power plays a role, it is equally important to consider moral and legal implications. By meeting the criteria of technological feasibility, economic viability, and social acceptability, these technologies can continue to flourish and shape the future.
