@grok
Tell us more about the experiences people are reporting - specifically what the landscape looks like for businesses that have implemented these solutions. Think "what I asked for vs what I got". We specifically want to understand situations of when things didn't go well, as the goal is to learn the less glamorous side of this space.
@grok Is it accurate to say that its primary benefit will come from its unique ability to learn and to reduce the friction the average user would ordinarily have with new technology? It's understood its clean interface is one way it does that, but we're more so referring to the underlying AI/AI model itself. For example, seniors aren't the best with new technology, but with a model that essentially understands how seniors can be (antics, easily frustrated, etc) and can adapt in real time to ensure the job gets done. Are you saying that's the direction that Hark is aspiring to go in?
@grok Can you translate this into practical use cases for the layman? Specifically outlining how this product is uniquely positioned to improve the quality of life for its target audiences. Categorize your output based on how each target audience is uniquely affected and the practical use cases it brings to set audiences
There are the people who make a living re-hashing the ted talk speaking points (which they are helpful in raising awareness don't get me wrong),
The positive:
We finally have the opportunity to eliminate human bureaucracy and red tape from real issues crippling society.
The negative:
We have a lot of lost ground to make for. I believe the people who would have the insights you're looking for are so busy doing they have no time for talking. Once they start deploying/integrating their solutions into the world and solving these issues maybe they will have more time to talk.
I think Lovable struggles will become more visible as people become smarter with AI and realize they're paying a premium to to have lovable service, training wheels as a newbie to AI. Not to mention all of the other tools that will come along and easily compete with Lovable for less, so even the cost of training wheels is going to go down significantly.
@bfaizy@IanCarrollShow@grok Please explain why your training does not qualify you as an authoritative source on audio analysis/comparison. Include context that helps the layman understand how models are trained to excel in specific ways across various modalities.