Diana Stepner

@dianas

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Sell an Identity Rather Than a (Supplement) Product

Nick Bare and the Hybrid Athlete Cinematic Universe

Prototypes are the new PRD. We’re at the point now where it almost takes as much time to get to a prototype as it does to write a good PRD.

The AI Eval Process for Figma's AI Product

Upwork research identifies a significant shift: Over 25% of highly skilled professionals now operate independently, and more than a third of full-time employees are considering freelancing for the opportunities it provides. At the same time, Gallup’s report highlights a troubling global decline in employee engagement, driven largely by middle manag... See more

The End of Legacy Work Models: How AI and Independent Talent Will Drive What’s Next

Thinking in Interfaces

In the AI era, the interface is no longer just a surface, it's becoming a participant. We often think about AI as a tool, but it's increasingly a collaboration. The conceptual shift looks something like this:

From: UI = buttons and screens To: UI = presence + affordance + context-awareness

Twenty Twenty Vibe

The future of leadership is about curating the best insights, talent, and ideas, not dictating the direction. The best leaders will be those who act as architects of collaboration, assembling diverse perspectives and fostering an environment where expansive thinking thrives.

fastcompany.com

Transcript: 'How to Predict the Future Like Kevin Kelly'

every.to

In his belief that intelligence is not a single unified force but a compound made up of different elements, Kelly draws from early AI pioneer Marvin Minsky, who proposed that the mind is composed of many smaller “agents” working together. He sees a modern echo of this in the Mixture of Experts architecture used in some LLMs. These are systems where there are multiple specialized models—each focused on a particular type of task or reasoning—and when the system receives an input, it dynamically selects which of these experts to use, assembling different cognitive strategies on the fly.

Taking this modular approach further, Kelly also argues that human intelligence is not a universal standard, but a highly specific and peculiar compound—one that evolved to suit our particular needs as a species. “We’re an edge species,” he says, occupying just one point in the vast “possibility space of all possible minds.” As we build AI, we won’t just replicate ourselves—we’ll populate that space with many kinds of intelligence, some of which may be so unfamiliar that we won’t even recognize them as intelligent at first.

Hi! Really interesting quotes in this podcast re: thinking about how to build for the future. For example...

When you're talking about databases, I bet the database you used this year is probably 5% better than the database you used two years ago, but that's not true at all with AI. It's like every two months computers can do something the

We can use LLMs to be more creative, not by replacing our own intuition or taste, but by sharpening our ability to recognize and cultivate those senses—making creativity something we can reliably nurture, rather than merely await.

https://every.to/learning-curve/a-science-based-guide-to-thinking-creatively-with-llms

However, Cuban cautioned the crowd not to overly rely on AI. “AI is never the answer. AI is the tool. Whatever skills you have, you can use AI to amplify them,” he said.

“Whatever skills you have, AI can amplify them. But not using it means somebody else is going to be amplifying their skills — and that could be the difference between getting ahead