Deep Learning is Already Dead: Towards Artificial Life with Olaf Witkowski

Deep Learning is Already Dead: Towards Artificial Life with Olaf Witkowski

In this interview, we talk to Witkowski about his work in artificial life, how it will advance technology, and why he thinks deep learning is already dead.

Olaf Witkowski is the Chief Scientist at Cross Labs, which aims to bridge the divide between intelligence science and AI technology. A researcher of artificial life, Witkowski started in artificial intelligence by exploring the replication of human speech through machines. He founded Commentag in 2007, and in 2009 moved to Japan to continue research, where he first became interested in artificial life.

In his own words, Witkowski says, “artificial intelligence means that you are trying to copy human intelligence as best as possible.** Artificial life says, okay, that’s good, but let’s try to understand human intelligence** and recreate it from the fundamental knowledge we have acquired. It’s more constructive. It’s a bit like the Richard Feynman quote: what I cannot create, I do not understand.”

In this interview, we talk to Witkowski about his work in artificial life, how it will advance technology, and why he thinks deep learning is already dead.

I know your focus is on artificial life, but can you tell us to what extent you work within the field of AI?

I work with an AI company called Cross Compass as part of Cross Labs. I’ve talked with a lot of AI companies over the last three years in Japan. I wanted to do more research into artificial life, and Cross Compass founded a research center which I direct.

At Cross Labs we cover three main areas: the neuroscience of intelligence, the theory of agency and learning, and collective AI.

ai machine-learning metalearning data-science deep-learning

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