- Sachin Dev Duggal, CEO of artificial intelligence startup Builder.ai, said we’re just beginning to see what’s possible with AI and that space needs a reality check.
- “We’re still just in the AOL world of AI,” he told CNBC in an interview. “There’s this perception that we’re in the fiber optic world of AI. We are far from it.”
- The hype surrounding AI has peaked amid the excitement surrounding ChatGPT, the popular AI chatbot.
Lionel Bonaventure | AFP | Getty Images
Today’s artificial intelligence systems are a lot like yesterday’s dial-up Internet, according to the CEO of an AI startup, who said the space needed a reality check.
Sachin Duggal, co-founder and CEO of Builder.ai, told CNBC on Friday that we’ve only just begun to envision what’s possible with AI.
“We’re still just in the AOL world of AI,” Duggal said in an interview with CNBC. “There’s this perception that we’re in the fiber optic world of AI. We are far from it.”
“It’s not just LLMs [large language models] and ChatGPT, although that seems to be the epicenter of how people feel about it,” he added.
The hype surrounding AI has peaked in recent months due to the excitement surrounding ChatGPT, the popular AI chatbot.
Venture capitalists are throwing big bucks at startups developing AI tools, hoping it will be as significant a shift for the digital economy as the invention of the iPhone.
According to investment bank UBS, ChatGPT has amassed more than 100 million users since its release 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 has made messaging understandable,” said Duggal. “At one point it was the most popular device and people were queuing to get the phone. It was the Apple of its time.”
“What you’re seeing now is a dynamic where something that people didn’t understand and that was very esoteric has now become a little bit more personal,” he added.
But he added that the technology is surrounded by hype. “It freaked people out for no reason.”
ChatGPT has impressed many with its ability to provide human-like responses to user input based on large language models trained on vast amounts of data.
However, it has also proven ineffective for some tasks, e.g. B. solving math problems. The chatbot also has a limited understanding of context – specifically sarcasm and humor.
Duggal said that knowledge graphs — data models that connect relationships between different concepts, entities, and events — have a higher level of accuracy and contextual understanding than large language models like OpenAI’s GPT-4.
“An LLM simply tells you what it thinks the next word with a high probability is, whereas a knowledge graph is actually able to create pattern relationships it knows about and how things work. So it’s not just predicting what’s coming next,” he said.
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