One of the most challenging forms of customer validation is when you can see the pain and the need, but both you and the customer struggle to figure out the right shape of the solution within the constraints of what’s possible.
My general view on a partner with a challenging quality is that to make peace with it, two things need to be true: 1. They have enough wonderful qualities you value to compensate for it, and 2. They don't make you feel alone or lonely in dealing with the runoff of said challenging quality.
There's an illusion here though that anyone will make it, which I've never portrayed to be true, entrepreneurship is one of the most challenging endeavours, kinda like pro sports
have to abide by this rule that was written before LLMs were even a thing. And that shows how challenging sort of the the the situation is if you try to set the line too firm to begin with.
Now maybe this isn't completely out of the question but this would be quite challenging uh to do and that's because the calculus is a little bit different. We're not just running compute to optimize for a use case. We're actually running the robot in the real world and using the hardware and attempting the task in the real world.
ChatGPT, in particular, seemed to just want to validate me, tell me how great I was, reinforce any bad beliefs I might have had, and avoid saying anything uncomfortable.
A collection of short essays and aphorisms on crafting a life of autonomy, creativity, and intentional leisure—challenging hustle culture with elegance and philosophical depth.
The definite book about giving good and candid feedback - and a very useful read for new(ish) managers. The book is a list of ideas around the theme of caring personally and challenging directly.
One pattern is that for simple prompts, weak models can do (nearly) as well as strong models. For more challenging prompts, however, users are much more likely to prefer stronger models.
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