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In the evolution of the relationship between technology and society, humans have shown to be incredibly adaptable. What once made us breathless soon becomes a part of our
In the evolution of the relationship between technology and society, humans have shown to be incredibly adaptable. What once made us breathless soon becomes a part of our daily lives. The amazing functionality of major language models (LLMs) like ChatGPT was the epitome of advanced artificial intelligence just a few months ago. They should now become mere additions and plugins for our text editors and search engines.
We will soon be confident in their abilities and seamlessly integrate them into our routines. However, this quick acclimation leaves us with the question: What’s next? As our expectations change, we can’t help but think of the next innovation that will spark our imaginations. Humans will try to achieve all sorts of smart things with AI – and it doesn’t. Many ideas will fail, others will have a lasting impact.
Our crystal ball is not much better than yours, but we can try to think in a structured way of what will happen next. For AI to have a lasting impact, it must be not only technologically feasible, but also economically viable and normatively acceptable, that is, it must conform to the values ​​society demands of us.
Currently, there are promising artificial intelligence technologies waiting on the sidelines. We believe four of them are waiting for their time: Next-Level GPT, Humanoid Robots, AI Lawyers and AI-Driven Science. Our choices seem technologically ready, but whether they meet all three criteria is another question. We chose these four because they are the ones that we come across constantly in our research on the advancement of artificial intelligence technology.
Startup company DoNotPay claims to have created a legitimate chatbot built on LLM technology that can advise defendants in court. The company recently said that its artificial intelligence system will help two defendants combat speeding tickets in real time. Connected with a headset, the AI ​​can listen to hearings and whisper legal arguments into the defendant’s ear, which the defendant can then repeat aloud to the judge.
Following criticism and a lawsuit for practicing law without license, the startup delayed its AI courtroom debut. Thus, the potential of technology will be determined not by technological or economic constraints, but by the authority of the legal system. Lawyers are highly paid professionals and litigation costs are high, so the economic potential of automation is huge. However, the US legal system now seems to oppose robots representing humans in court.
Scientists are increasingly turning to artificial intelligence for information. Machine learning, where an AI system improves what it does over time, is used to discover patterns in data. This allows systems to propose new scientific hypotheses – to offer explanations for phenomena in nature. They can even transcend human assumptions and prejudices.
For example, researchers at the University of Liverpool used a machine learning system called a neural network to sequence chemical combinations of battery materials, guiding their experiments and saving time.
The complexity of neural networks means that there are gaps in our understanding of how they actually make decisions – the so-called black box problem. But there are techniques that can shed light on the rationale for their answers, which can lead to unexpected discoveries. While AI cannot currently formulate hypotheses on its own, it can inspire scientists to approach problems from new perspectives.
Soon we will see newer versions of artificial intelligence chatbots based on the latest LLM technology known as GPT-4. We will see artificial intelligence that can process different types of data, such as images and speech, as well as texts. These are the so-called multimodal systems.
But let’s look a little further into the future. Auto-GPT, an advanced AI tool released by Significant Gravitas, is already making waves in the tech industry. Auto-GPT takes the general goal of planning a birthday party and breaks it down into sub-tasks and completes them on its own without human intervention. This distinguishes it from ChatGPT.
Auto-GPT includes artificial intelligence agents or systems that make decisions based on predefined rules and goals. Despite installation limitations such as functionality issues when used with Windows, Auto-GPT shows great potential in a variety of applications.
Humanoid robots that look and act like us have come a long way since the first Darpa Robotics Competition in 2015, a competition where teams make robots to complete a series of challenging tasks set by the organizers. These are getting out of the car, opening the door and punching a hole in the wall. Many struggled to achieve their goals.
However, startups are now developing “humanoids” that can perform similar tasks and use them in warehouses and factories.
Advances in artificial intelligence such as computer vision and powerful batteries that provide short-term high current have enabled robots to navigate complex environments dynamically maintaining their balance in real time. Figure AI, a company that creates humanoid robots to work in warehouses, has already raised $70m (£55m) in investment funds.
The fact that other companies such as 1X, Apptronic and Tesla are also investing in humanoid robots shows that the field is growing. Humanoid robots have advantages over other robots in tasks that require navigation, maneuverability and adaptability, in part because they will operate in environments designed for human needs. Source
Source: Port Altele
As an experienced journalist and author, Mary has been reporting on the latest news and trends for over 5 years. With a passion for uncovering the stories behind the headlines, Mary has earned a reputation as a trusted voice in the world of journalism. Her writing style is insightful, engaging and thought-provoking, as she takes a deep dive into the most pressing issues of our time.
