We’re Only at the ‘AOL’ Phase of AI, CEO Says


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Artificial intelligence systems today are akin to the dial-up internet of yesteryear, according to the CEO of an artificial intelligence startup, who says the space needs a verification of the reality.

Sachin Duggal, co-founder and CEO of Builder.ai, told CNBC Friday that we’re just beginning to imagine what’s possible with AI.

“We’re still just in the AOL world of AI,” Duggal told CNBC in an interview. “There’s this perception that we’re in the fiber optic world of AI. We’re a long way from that.”

“It’s not just the LLMs [large language models] and ChatGPT, although that seems to be the epicenter of how people think about it,” he added.

The AI ​​hype has peaked over the past few months due to the excitement around ChatGPT, the popular AI chatbot.

Venture capitalists are pumping big money into startups developing AI tools in the hope that it will represent as big a change for the digital economy as the invention of the iPhone.

ChatGPT has amassed over 100 million users since its release in November 2022, according to the investment bank UBSmaking it one of the fastest growing consumer apps of all time.

“AOL made the Internet easily understandable for people. BlackBerry made email understandable,” Duggal said. “At one point it was the most popular device and people were lining up to get the phone. It was the Apple of its time.”

“What you’re seeing now is a momentum where something that people didn’t understand that was very esoteric has now become a bit more personal,” he added.

But, he added, the technology is shrouded in hype. “It freaks people out for no reason.”

ChatGPT has impressed many with its ability to produce human responses to user prompts, powered by large language models trained on massive amounts of data.

However, it was also found to be ineffective for certain tasks, such as solving math problems. The chatbot also has a limited understanding of context, especially sarcasm and humor.

Duggal said knowledge graphs — data models that relate relationships between different concepts, entities, and events — show a greater degree of accuracy and understanding of context than large language models like GPT-4. OpenAI.

“An LLM simply tells you what it thinks the next word is with a high degree of probability, whereas a knowledge graph is actually able to compose pattern relationships that it knows and how things work. So it’s not just about predicting what’s next,” he said.

SHOW: AI allows a more creative part of human nature to come into play: Builder.ai CEO

AI allows a more creative part of human nature to come into play: Builder.ai CEO

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