GTM14 - Preparing for the Future, with Steve Brown, Futurist, Author and previous Evangelist at Intel
Intel futurist Steve Brown delivers a provocative take on how the pandemic permanently reshaped work and technology adoption, predicting massive turnover as companies force return-to-office mandates. He makes the case that we're entering an era of 'work-life fusion' while exploring how advances in natural language processing and three-nanometer computing will make AI a collaborative ingredient in everything from creative design to smart cities.
Key takeaways
- •Expect up to 30% employee turnover as companies demanding office returns face mass resignations from workers who've proven their remote productivity.
- •Natural language processing breakthroughs like Lambda and GPT-3 are moving beyond simple voice commands to enable genuine computer conversations that produce human-readable insights.
- •Work-life balance is dead—the future belongs to 'work-life fusion' where professional and personal boundaries blend according to employee preferences rather than corporate mandates.
- •Generative AI will emerge as collaborative design partner, enhancing rather than replacing creative professionals from engineers to architects.
- •Three-nanometer chip technology makes computing cheap enough to embed thinking capabilities into virtually everything, reviving smart city concepts despite past failures.
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Best moment
Natural language processing is starting to get much more capable. Looking at the demos that they showed with Lambda, for example, and the stuff that's coming out of OpenAI with GPT three. Not just being able to speak to a computer, but have a conversation with a computer and creating a summary that an average normal human being could understand.
Natural language processing is starting to get much more capable. If you saw Google IO recently, I know this is going out in August so it's not that recently. But, you know, looking at the demos that they showed with Lambda, for example, and the stuff that's coming out of OpenAI with GPT three, Not just being able to speak to a computer, but have a conversation with a computer and have language models that allow us to start doing things like summarizing a complex technical research paper and creating a summary that an average normal human being could understand.
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