AltaML Head of Ventures Joins the Hosts of the Sleeping Barber Podcast for a Conversation on AI
On episode 33 of the Sleeping Barber podcast, AltaML’s Head of Ventures, Craig Haney, and Chief Product Officer at Unbounce, Darby Sieben, joined hosts Marc Binkley and Vassilis Douros to help unravel the hype around artificial intelligence (AI), separating fact from fiction.
“If you look at AI or machine learning, the language is really important to get right,” said Haney. “AI itself is about using past and current datasets to help us predict what might happen in the future.”
“AI is fairly narrow,” added Sieben. “Narrow doesn’t mean it’s not powerful because I think what we’re seeing with large language models (LLMs) is incredibly powerful. But, as Craig said, it’s a lot about training on datasets and modeling forward. How do you then take the intelligence level of a machine and have it [on] the same level of a human with respect to reasoning, self-consciousness, and solving problems not based off a dataset? I think we’re still far from that. But I do like this notion that today AI is a narrow AI, but that doesn’t mean narrow does not equal powerful. It’s incredibly powerful.”
The evolution of ChatGPT in the last eight months has brought the use cases for LLMs to the forefront the pod discussed, noting the biggest game changer has been the overall simplicity of the product.
“This is a good example of why UX matters,” explained Haney. “It doesn’t have to be flashy, but it provides very little training or learning of how to use it. That’s the power of the adoption side of it is the user experience.”
Beyond ChatGPT not only being for the technical community, Haney and Sieben both agreed it has the power to open up the “imagination” of the end-user to AI as a whole.
“I think it’s important to separate trends from big fundamental shifts,” said Sieben. “I think right now we still are in this moment of imagination, but I do think AI is not a trend. This is [going to] permeate every single industry, every single use case in some way, shape or form.”
“It can run through millions of scenarios in the time that we can talk through a sentence,” added Haney. “Einstein once said, you can’t solve tomorrow’s problems with today’s paradigm. We’ve got to think about tomorrow’s paradigm and AI is tomorrow’s paradigm.”
Listen in on the rest of the conversation with Haney and Sieben here:
Andrea Dion, Manager, Communications