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I like the approach. Indeed what matters is to have visibility, don't weaponize measurement otherwise the trust will falter.
It's indeed a vicious circle. Also it seems easy to fall into this particular trap, I see it in many places.
Having a bootstrappable build is definitely not an easy feat! It is something necessary to do though for trust and for longevity reasons.
Interesting finding. Looks like the trust is not very high in the general public towards products with AI.
Good summary of all the "fake agile" practice one can see. Without enough trust it's not possible to put in place an agile organization.
There's definitely a problem here. The lack of transparency from the involved companies doesn't help. It's also a chance for local and self-hostable models, let's hope their use increases.
Shows why it's important to go for a blameless culture, also outside of postmortem. This is definitely not easy but worth it.
Good piece, this is indeed essential in managing others. If they can't trust you then fear will ensue.
Interesting advices. As usual with this kind of topics it's probably easier said than done though.
I was indeed thinking this looks awfully similar to some things we've seen in the past... It needs to be fought as well.
This trend around critiquing code reviews on the argument of "trust" should be challenged indeed. This is just the wrong way to approach it.
A few compelling arguments for the impact of the latest strain of generative neural networks. The consequences for the eroded trust about online content are clear. I'm less convinced about some of the longer term predictions this piece proposes though.