A new version of Friction Curve (for application delivery) – circa 2015-2016. Probably still very imprecise, but better at conveying the point. https://t.co/iMidSkrs3M

@daffodilsw I’ve *never* met an organization that has adopted #automation and achieved any form of #NoOps. And in the last 15 years, I’ve met in the hundreds.

Maybe because NoOps is a pipe dream? https://t.co/gI7RBY2nVJ

I’d love to talk to somebody in the statistical sample you mention.

“Truth emerges more readily from error than from confusion.” – Francis Bacon

https://t.co/g9j4kFJINS

#venturecapital allocation across continents. This slide would merit further elaboration.

From a great @CBinsights deck: https://t.co/w2abiioxsQ https://t.co/3xwwIjn2sw

Cost to launch a tech startup vs allocated venture capital.

From a great @CBinsights deck: https://t.co/w2abiioxsQ https://t.co/ye9rXH4lb8

RT @SpaceX: Gateway to Mars https://t.co/cej13QdyJP

@Summer_hxp176 In reality, there are more, and spread across multiple years. I put together a more structured table for the startups I consider worth watching: https://t.co/UrwnYib8d3

@rationalpsyche Very different problem. It exists and it’s amply debated. The one I’m interested in is barely discussed. #AI as a killer of #diversity (assuming it’s a correct hypothesis, which I don’t know) is not something you read very often.

I’d be interested in exploring a problem I call “The convergence towards a single taste”. Today #AI optimizes for content that is appealing to most. Peer pressure pushes the ones that are more edgy to converge as well. The same algorithms then effectively silence non-conformance.

In other words, it seems to me that the way deploy #AI (at least on social media) kills cultural diversity while we are so busy to promote it in the real world.

Am I missing something?