- Sachin Dev Duggal, CEO of artificial intelligence startup Builder.ai, says we’re just beginning to see what’s possible with AI and need to see the reality of the space.
- “We are still only in the AOL world of AI,” he told CNBC in an interview. ”
- The hype around AI is heating up in a frenzy amid the excitement over ChatGPT, the popular AI chatbot.
Lionel Bonaventure | AFP | Getty Images
According to the CEO of an AI startup, today’s artificial intelligence systems are akin to the dial-up internet of yesteryear, and the field needs a reality check.
Builder.ai co-founder and CEO Sachin Duggal told CNBC on Friday that we’re just beginning to imagine what’s possible with AI.
“We’re still just in the AOL world of AI,” Duggal said in an interview with CNBC. “There is a perception that we are in the fiber optic world of AI. We are far from it.”
“Not just LLM [large language models] and ChatGPT, but that seems to be the epicenter of how people think,” he added.
AI hype has exploded over the past few months with excitement over ChatGPT, a popular AI chatbot.
Venture capitalists are investing heavily in startups that develop AI tools. We expect this to bring about as significant a change to the digital economy as the invention of the iPhone.
According to investment bank UBS, ChatGPT has amassed more than 100 million users since its launch in November 2022, making it one of the fastest growing consumer apps of all time.
“AOL made the Internet easy for people to understand. BlackBerry made messaging understandable,” said Duggal. “For a time it was the most popular device and people were queuing to get a phone. It was Apple of its time.”
“What you’re seeing now is the momentum that what used to be very esoteric and incomprehensible to people is now a little more personal,” he added.
But the technology is surrounded by hype, he added.
ChatGPT has impressed many with its ability to generate human-like responses to user prompts by leveraging large language models trained on large amounts of data.
However, it has also proven ineffective for some tasks, such as solving math problems.Chatbots also have limited understanding of context, especially when it comes to sarcasm and humor.
Dougal said knowledge graphs — data models that connect relationships between different concepts, entities, and events — show greater accuracy and contextual understanding than large language models like OpenAI’s GPT-4. says.
“The LLM simply tells us what the next word is likely to be, whereas the knowledge graph actually constructs the pattern relationships it knows and how things work out. So you can not just predict the next word, ”he said.
clock: AI activates a more creative part of human nature: Builder.ai CEO
