A friend told me today that his teammates believe that AI is a solved problem and there is no risk to using AI to build their apps and indeed using AI in the app itself. And most people I know see many potential perils and pitfalls in GenAI/LLM tools and assistants. And, the teams I have been working with the last few years are not using any AI tools at all. I believe AI is here to stay and we all need to learn how to make it an effective part of our toolbox. But I’m concerned that there’s a perception out there that this is a done deal, we can safely use AI tools. What are other people seeing, thinking?
How are teams perceiving GenAI/LLM today?
+6Hunt the bugs, ensure the hugs. Quality is everything.
A friend told me today that his teammates believe that AI is a solved problem and there is no risk to using AI to build their apps and indeed using AI in the app itself. And most people I know see many potential perils and pitfalls in GenAI/LLM tools and assistants. And, the teams I have been working with the last few years are not using any AI tools at all. I believe AI is here to stay and we all need to learn how to make it an effective part of our toolbox. But I’m concerned that there’s a perception out there that this is a done deal, we can safely use AI tools. What are other people seeing, thinking?
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Risks like bias, misuse, lack of explainability, and overreliance are still very real. Some teams may rush in, assuming it's plug-and-play, but cautious adoption with awareness of limitations is the smarter path. Others are still hesitant, which also risks falling behind. Balance and critical thinking are key.
yes
+6A friend told me today that his teammates believe that AI is a solved problem and there is no risk to using AI to build their apps and indeed using AI in the app itself. And most people I know see many potential perils and pitfalls in GenAI/LLM tools and assistants. And, the teams I have been working with the last few years are not using any AI tools at all. I believe AI is here to stay and we all need to learn how to make it an effective part of our toolbox. But I’m concerned that there’s a perception out there that this is a done deal, we can safely use AI tools. What are other people seeing, thinking?
​
Risks like bias, misuse, lack of explainability, and overreliance are still very real. Some teams may rush in, assuming it's plug-and-play, but cautious adoption with awareness of limitations is the smarter path. Others are still hesitant, which also risks falling behind. Balance and critical thinking are key.
yes, absolutely.
Hunt the bugs, ensure the hugs. Quality is everything.
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