The author discusses the growing skepticism towards online content that touches upon current hot topics, due to the possibility of it being partially or fully machine-generated. They mention the recent emergence of large language models (LLMs) such as OpenAI’s GPT-4 model and how it has made people question their understanding of computer capabilities. The author reflects on their own experiences with these AI capabilities and discusses the potential impact they could have on their business, specifically in the realm of low-code application platforms and Microsoft tools.
This text was written by a human being, not AI – even if some of the images are AI generated.
Adding such a disclaimer would have sounded ridiculous only a few months ago. Today, many of us are starting to be rightfully sceptical towards online content we come across that touches upon any current hot topic. Is it organic or at least partially machine produced?
LLMs, large language models, struck earth like a meteorite in the end of 2022 and made some of us question what we really understand about the current capabilities of computers. If you’ve logged in to ChatGPT or signed up for the New Bing version now running on top of OpenAI’s GPT-4 model, you will have certainly experienced a “WTF?!?” moment or a few when seeing the kind of answers they can come up with.
In this blog post I’ll reflect on the experiences I’ve had with this latest wave of AI capabilities and how I think they potentially will change the business I operate in. Meaning low-code application platforms (LCAP) and in my case the Microsoft stack of tools.
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7 days ago — In today's A.I. newsletter, the last in our five-part series, I look at where artificial intelligence may be headed in the years to come.