I do a little bit of a lot of things. Some of those things are code. I enjoy thinking about how the world and technology interact, and how technology affects the way people interact with each other.
From my perspective, I think AI tools will continue to integrate into the workflow of tech and the solutions presented to end users. The Changelog podcast has an episode out discussing this and I think their take on things was spot in without being alarmist. Check it out here if you are interested
The good part of AI is that it will help developers focus more on the problems and less on the code, paving the way for faster iteration and better solutions over time. I don't think it will replace Stack Overflow altogether which I've seen mentioned often because Stack serves a niche as the way to source and share information in a more community based approach and still make it persistent. That said, I think AI will push communities like Stack, Reddit, etc. to be a bit more forgiving of newer users, or they will start to see declines in usage. Also I think there will still be a place for Google and Stack, simply because it's generally better to google an error code than run it through an AI.
The bad part is that a tool like ChatGPT will give you one answer to a question when you ask. People will invariably use that one answer they are presented, and much of that code will make it back into the discoverable data that the AI is training on. The result will be an amplification of the answers it is giving creating a feedback loop in the model, so the common answers will become more common, whether or not they are correct. This will also serve to marginalize newer approaches and better ideas in favor of the status quo. So one thing that will need to be approached sooner or later is addressing bias in the models as they train.
Regarding learning, from what I've seen the industry has been expanding it's understanding of how people learn and what personality types bring value to technology companies. I think this will continue, and more people from more walks of life will find their way into tech roles organically. This is very good, as the added scope of domain knowledge from other sectors will broaden the thinking of tech in general and facilitate more creative solutions.
There's definitely a huge impact on learning and education that we need to better understand and work with. I love the idea of thinking about AI like automation. It can create more time for us to do things that matter. I hope part of that includes better understanding and relating to people.
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From my perspective, I think AI tools will continue to integrate into the workflow of tech and the solutions presented to end users. The Changelog podcast has an episode out discussing this and I think their take on things was spot in without being alarmist. Check it out here if you are interested
The good part of AI is that it will help developers focus more on the problems and less on the code, paving the way for faster iteration and better solutions over time. I don't think it will replace Stack Overflow altogether which I've seen mentioned often because Stack serves a niche as the way to source and share information in a more community based approach and still make it persistent. That said, I think AI will push communities like Stack, Reddit, etc. to be a bit more forgiving of newer users, or they will start to see declines in usage. Also I think there will still be a place for Google and Stack, simply because it's generally better to google an error code than run it through an AI.
The bad part is that a tool like ChatGPT will give you one answer to a question when you ask. People will invariably use that one answer they are presented, and much of that code will make it back into the discoverable data that the AI is training on. The result will be an amplification of the answers it is giving creating a feedback loop in the model, so the common answers will become more common, whether or not they are correct. This will also serve to marginalize newer approaches and better ideas in favor of the status quo. So one thing that will need to be approached sooner or later is addressing bias in the models as they train.
Regarding learning, from what I've seen the industry has been expanding it's understanding of how people learn and what personality types bring value to technology companies. I think this will continue, and more people from more walks of life will find their way into tech roles organically. This is very good, as the added scope of domain knowledge from other sectors will broaden the thinking of tech in general and facilitate more creative solutions.
There's definitely a huge impact on learning and education that we need to better understand and work with. I love the idea of thinking about AI like automation. It can create more time for us to do things that matter. I hope part of that includes better understanding and relating to people.