The General AI model is not that efficiency as it handles stupid problems and complex problems with totally different pattern, there should be a huge amount of parameters try fit these different patterns in one model, There should be huge waster of time and energy
How to approach this kind of "AI apps", make the users accept this kind of probabilistic results, or try our best to mitigate the impact of probability?
There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years.
Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work.
Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.
@Mlondon83 the speed of developing AI model is similar like log function. There is no secret about the algorithms, and the data can be distilled ruthlessly.
@haha_girrrl It is hard to rein one's attention in this vibe coding surreal era, and focus to yourself other than those fancy `projects` from AIs, not to explore these fancy capacity of these Models, it will easily eat you out.