I pose a better question to pose.
Why can't we invent a method to consume carbs that is healthy. Everyone in the health community tells me carbs are unhealthy, and they spike blood sugar and make you gain weight. Its shocking despite how bad obesity is, we have very limited options of treatment. I'm following some second stage clinical trials for medication in hopes they get approved, because research shows that the major difficulty is not only losing weight but keeping it off.
An acquaintance of mine has a fairly expensive Sage brand toaster that has an LED bar graph showing remaining time and an 'a bit more' button. Overall it is a nice toaster, but the linear variable resistor for the slide control that sets the toasting time has become noisy so the LEDs light up unexpectedly now and again. We are hesitant to spray aerosol switch cleaner into a food appliance, sliding the time control end to end a few times clears it for a few days.
The problem is that toasting is too deterministic. Users have gotten used to adjusting their toaster to suit the toast they want, when in reality they should be open to radical suggestion from an agent knowledgeable on the topic of toast. A copilot, if you will.
What the industry desperately needs; no, what every kitchen needs; is a private and safe integration with a next-generation machine learning platform. I want you to think, "ChatGPT of bread" here. There's a huge amount of capital being invested in both toaster innovation and LLM technology, which is the perfect opportunity to capitalize on some underbaked synergy.
Obviously, we'll need a sort of "Core Toaster Fee" to ensure users don't accidentally use the toaster for something other than branded bread. Perhaps a bread-DRM could be invented to avoid these sorts of toast crimes, so our bread manufacturers could better protect their IP and prevent users from poisoning themselves on such follies as homemade bread.