When Openai introduced a Chatgpt for the world in 2022, it brought liberal artificial intelligence to the mainstream and began a snowball effect, which led to rapid integration in everyday life of people using industry, scientific research, health care and technology.
What comes next for this powerful but imperfect tool?
Keeping in mind that question, hundreds of researchers, business leaders, teachers and students gathered in MIT’s Crase Auditorium, which is for the inaugural MIT generative AI Impact Consortium (MGAIC) seminar on 17 September.
To kick this first seminar of MGIC, Mito said, “This is a decisive moment – generic AI is moving fast. It is our job to ensure that, as technology continues to move, our collective knowledge increases.”
Underlining the important requirement for this collaborative effort, MIT President Sally Cornblling said that world technology is relying on faculty, researchers and business leaders in MGAic to deal with the technical and moral challenges of AI generated as advances.
“A part of the responsibility of MIT is to bring these advances to the world. … How can we manage magic [of generative AI] So that we can all confidently rely on it for important applications in the real world? Kornbluth said.
The main speaker Yan Lake, Meta, the main AI scientist in Meta, the most exciting and significant progress in generic AI is most likely that the continuous improvement or detail of large language models such as Lama, GPT and Cloud will not come in. Through training, these giant generic models learn patterns in giant datasets to produce new outputs.
Instead, the development of Lukun and other “world models” is working in the same way as an infant does – by looking and interacting with the world around them through sensory input.
“A 4-year-old person has seen more data through vision as the largest LLM. … The world model is going to be the major component of the future AI system,” he said.
A robot with this type of world model can learn to complete a new task on its own without any training. Lecun sees the model of the world as the best approach to companies to make the robot smart, which is usually useful in the real world.
But even though the future generous AI system meets the world model through the incorporation of the world model and more human-like, Lakeun does not worry about the robot that avoids human control.
He said that scientists and engineers would need to design a guardril to keep the future AI system on track, but as a society, we are already doing so for millennia by designing rules to align human behavior for millennium, he said.
“We are going to design these railings, but by construction, the system will not be able to avoid those railings,” Lakeun said.
Tye Brady, the chief speaker, the chief technology of Amazon robotics, also discussed how the tribal AI could affect the future of robotics.
For example, Amazon has already incorporated generic AI technology in many of its warehouses to transform the material to streamline robot travel and order processing.
He hopes that by creating several future innovation machines, all the focus will focus on the use of generative AIs in collaborative robotics that allow humans to become more efficient.
“Jenai is probably the most influential technology that I have seen during my entire robotics career,” he said.
Other presenter and panelists discussed the effects of generic AIs from startups to analog devices ranging from Coca-Cola and Analogue devices such as Largscale Enterprises to Health Care Ai Company Abiz.
Many MIT faculty members also talked about their latest research projects, including the use of AI to reduce noise in ecological image data, designing new AI systems that reduce prejudice and hallucinations, and enable LLM to learn more about the visual world.
After a day, after discovering the new generative AI technology and discussing its implications for the future, Vivek Farias, co-Leide of MGAIC Faculty, Patrick J, MIT Slone School of Management. McGawn Professor, he said that he left the attendees “a sense of probability, and immediately to make this possibility real.”
