Looking for some perspectives pertaining to the struggles of rapid advancement in the AI space:<p>1) How many have attempted to start some project/business in the AI space and ultimately found it eclipsed by something else before you could finish it?<p>2) How many are currently hesitant to start a new venture due to the concern of #1? You may invest a lot of time, money and resources into a project only to find it becomes irrelevant when the next new capability of some AI model is released.<p>3) Are these currently topics of conversations for any companies that you work for? Are businesses struggling with these questions as well?<p>4) What have you learned from any of the challenges above?
When OpenAI releases training for GPT that is probably going to make a lot of developers redo a big part of their system because it will likely perform much better. People like me who are currently using vector search or other techniques to substitute for training.<p>But it's not entirely starting over because you have to start to create your training dataset anyway, at least as far as recording the core information.
Isn't this a common problem for building a solution for "now"?<p>Isn't the goal to use your vision and think about what the world is going to be like in 2 to 5 years and focus on building that?<p>Those are the products/solutions/businesses that generally win...not people jumping on the hot new thing...