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LLMs are a solution in search of a problem.

The first problem they have gained traction on is programming auto complete, and it is useful.

Generating summaries, pretty marginal benefit (personally I find it useless). Writing emails, quicker just to type "FYI" and press send than instruct the ai. More problems that needed solving will emerge, but it will take time.




This is a bad take to have, because it blinds you to the reality that is happening. LLM's are auto complete for pros, but full on programmers for non-tech folk. Like when GUI's first came out, the pros laughed and balked because of how much more powerful the CLI was. But look were the world is today.

At my non-tech job, I can show you three programs written entirely by LLMs that have allowed us to forgo paid software solutions. There is still a moat, IDE's are not consumer friendly, but that is pretty solvable. It will not be long before one of the big AI houses is doing a direct code to offline desktop app IDE that your grandma could use.


Deep research has saved me weeks worth of man hours in the last couple of months…


Out of curiosity, which vendor? The deep research is somewhat new to me but I am open minded.


OpenAI on o3 and Gemini 2.5. Like the user below I use multiple providers.


I use two or three at a time and then have another LLM merge and synthesize the output


How did you measure this?




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