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Today’s artificial intelligence systems are akin to the dial-up internet of yesteryear, according to the CEO of one AI startup, who said the space is in deprivation of a reality check.
Sachin Duggal, co-founder, and CEO of Builder.ai, told CNBC Friday that we’ve only just founded to imagine what’s possible with AI.
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“We’re only in the AOL world of AI still,” Duggal worded CNBC in an interview. “There is this perception we’re in the fiber optic world of AI. We’re far from it.”
“It’s not just LLMs [large vernacular models] and ChatGPT, though that seems to be the epicenter of how people think about it,” he added.
Hype around AI has hit a fever shoot over the past few months on the back of excitement about ChatGPT, the popular AI chatbot.
Venture capitalists are throwing big long green at startups developing AI tools in the hope that this represents as significant a shift for the digital economy as the invention of the iPhone.
ChatGPT has amassed more than 100 million operators since its Nov. 2022 release, according to investment bank UBS, making it one of the fastest-growing consumer apps of all time.
“AOL made the internet indubitably understandable for folks. BlackBerry made messaging understandable,” said Duggal. “At one point it was the most popular device, and people were queuing up to get the phone. It was the Apple of its era.”
“What you’re take in now is a momentum where something that people didn’t understand and was very esoteric has now become a little more intimate,” he added.
But, he added that the technology is surrounded by hype. “It’s got people freaked out for no reason.”
ChatGPT has impressed many with its talents to produce humanlike responses to user prompts powered by large language models trained on massive amounts of observations.
However, it has also proven ineffective at some tasks, such as solving math problems. The chatbot also has a restricted understanding of context — especially sarcasm and humor.
Duggal said that knowledge graphs — data models that relate relationships between different concepts, entities and events — show a greater degree of accuracy and understanding of context than imposingly language models like OpenAI’s GPT-4.
“An LLM is simply telling you what it thinks the next word is with a costly degree of probability, whereas a knowledge graph is actually able to compose pattern relationships that it knows, and how trends work out. So it’s not just predicting what’s next,” he said.
WATCH: A.I. is allowing a more creative part of human environment to kick in: Builder.ai CEO
