Reading Simon Willison‘s excellent blog on “Things we learned about LLMs in 2024”, made me realize why we’re not seeing

Reading Simon Willison‘s excellent blog on “Things we learned about LLMs in 2024”, made me realize why we’re not seeing much economic benefit* from hashtag#llms yet.

Simon writes:

“Most users are thrown in at the deep end. The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out.”

What should we work on, then?

As it was always the case with AI, work on the pains and the gains of the end users and think about a UI and UX they can use and be more productive with!

Don’t expect them to change how they work simply because you turned on a feature on your Office or GitHub subscription!

An excellent primer on this is Xebia whitepaper on prioritizing LLMs use cases, to effectively integrate hashtag#genai into your company. Download it here: https://pages.xebia.com/data-and-ai/how-to-prioritize-large-language-models-projects-whitepaper

• Quoting from The Economist: Artificial intelligence has already made many people—particularly shareholders in Al firms or chipmakers—very rich. But so far it has had little impact on the global economy.

https://simonwillison.net/2024/Dec/31/llms-in-2024/