Where ChatGPT fits in the Internet of Things

ChatGPT’s debut last November – and the publicity it generated – has sparked a widespread interest in the generative AI technology it uses and its possible applications. The human-like text the sophisticated chatbot produces has had some worrying that a self-aware robot threatening humanity waits around the corner.

Luckily, the more fantastic fears of an approaching man vs. machine apocalypse, like the one portrayed in “The Terminator,” will not likely be brought to fruition by ChatGPT.

“ChatGPT is incredibly limited but good enough at some things to create a misleading impression of greatness,” tweeted Sam Altman, CEO of Open AI, the creator of ChatGPT. “It’s a mistake to be relying on it for anything important right now.”

However, generative AI holds promise for the Internet of Things.

Software development is among the top use cases already in effect. The large-language models (LLM) the technology uses can be used to handle some of the more repetitive and tedious parts of code development. Generative AI can’t replace the developer, but it can make their work easier.

“There’s a lot of value in automating pretty mundane and simple processes, and let’s be honest, a lot of IoT applications are fairly basic things,” said Andy Brown, Omdia practice lead, IoT. “They’re still pretty basic on/off commands, simple input-output type things, and automating code around that, I can see some interesting use cases with generative AI making some of those processes simpler, provided it can be done in a sandboxed, ring-fenced kind of way via a private cloud or private environment.”

The natural-language processing used in generative AI holds promise for a host of human-IoT applications.

“One of the great things about generative AI is that it learns,” Brown said.

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