I think this boils the problem down solely to the individual. What if companies realised this issue and made a period of time during the day devoted solely to learning, knowledge management and innovation. If their developers only use AI to be more productive, then the potential degradation of intellect could stifle innovation and make the company less competitive in the market. It would be interesting if we start seeing a resurgence of Google's mythical 10% rule with companies more inclined to let any employee create side projects using AI (like Cursor) that could benefit the company.
Should there be a better way of reporting and displaying bugs?
For displaying the bugs, I'm thinking of something like what invision was - showing the interface of for example the desktop and showing the number of bugs associated with different elements of the desktop.
By displaying bugs as posts on a forum, I feel that we lose track of how degraded the performance of the system actually is.
I would imagine that having a camera videoing your preparation of ingredients and cooking would give enough data to classify the ingredients and the used volumes. From the video it should be easier to track the weight of everything... and perhaps depending on how the ingredients are used, determine/predict how the macronutrients are altered during the process.
If the definition of the meter is still wrong disallowing π² = g, how might this affect other calculations like for example thrust and in aerospace engineering?
It's ironic that Sony as a media producer and TV maker could be streaming copyrighted images for an algorithm to use.
Could this be used as an example from AI companies on the use of copyrighted images for training data?