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We’ve been here before. Between media buzz, overstated claims, and the work on the ground, sometimes it’s hard to distinguish fantasy from reality when dealing with Machine Learning. As neural networks mature and stand out from the pack, can the tech live up to the hype?

In the past five years, we’ve seen neural network technology really take off into its own. GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” or “what would Walter White look like if he were in Animal Crossing?”

We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid, if we can pick his brain for today’s episode. Despite the work still being very much a balancing act between what’s possible and what’s feasible, things, it appears, are just starting to scale. The tech landscape is changing, the business a

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