Generative AI systems like ChatGPT, DALL-E, and Midjourney are poised to revolutionize countless industries. Artificial intelligence expert Pascal Kaufmann said these new AIs are so good at generating text and images that it’s easy to overestimate their abilities.
Kaufmann, founder of Starmind.ai and the Mindfire Group explained that true intelligence is loosely defined as the ability to solve completely new problems. While it’s easy to be impressed by AI’s ability to perform tasks like natural language processing, Kaufman argued that big language models like GPT-3 simply mimic intelligence without really own it. In particular, they lack the ability to meet challenges that they have not encountered before.
For example, these systems can generate poetry and write code because they were trained on existing content. But they can’t perform abstract tasks, like understanding humor or feeling empathy.
“Some people treat the term ‘AI’ as if it (just means) ‘incredible innovation.’ So whenever something is amazing, it’s called AI,” Kaufmann said. “But when you look at science and perspective, you can actually measure and define intelligence. Intelligence would be measured as your ability to deal with unseen problems, unseen problems. Can you solve something completely new? And big language models like ChatGPT can’t tackle anything it hasn’t encountered before, so its (intelligence) sucks.”
Despite this limitation, Kaufman acknowledged that new generative models are a significant advance in AI capability and could revolutionize a number of industries. He highlighted their ability to efficiently produce creative and visual work, dramatically reducing costs and turnaround times. He also suggested that models can generate more creative solutions to unique problems than humans, thanks to their access to a vast reservoir of information.
Kaufman pointed to the value of AI in industries such as illustration and film, where virtual humans can be generated and controlled more cost-effectively than their real counterparts. He also commented on the potential displacement of creative jobs by AI technologies.
Digging deeper into measuring intelligence, he noted that Mindfire hit a world record by solving more than 30% of the puzzles in an AI IQ test, a significant increase from the previous record of 20%.
He also mentioned that the GPT-4 upgrade being multimodal is another important step forward. Kaufman ultimately called the rise of AI models like GPT-3 and GPT-4 a “utility revolution” that will accelerate technological developments.
“It’s really a game-changer, and it will accelerate developments towards AI at the human level,” Kaufmann said.
However, he clarified that these models are not a direct path to achieving artificial general intelligence (AGI) – AI with human-level intelligence.