Thin Layers of AI, Thick Layers of Personality
I think PMs and product leaders are under-investing in generative AI fluency & building the hard skills necessary to future proof their careers.
Sure folks can mumble about semantic search or "agents" or chat as an interface, but could they sit down and really spec a great AI… Show more
For me, when it comes to AI product design, this means personalization. We all like things that we help mold—including our copilots and agents and chatbots. More tools should be customized with personal preferences and styles, rather than monolithic feature sets. Maybe an email agent lets me customize it before I let it run loose in my inbox. And s... See more
Rex Woodbury • How Consumer Psychology Informs AI Product Design
A lot of the focus on AI use, especially in the corporate world, has been stuck in what I call the “automation mindset” - viewing AI primarily as a tool for speeding up existing workflows like email management and meeting transcription. This perspective made sense for earlier AI models, but it's like evaluating a smartphone solely on its ability to... See more
Ethan Mollick • A new generation of AIs: Claude 3.7 and Grok 3
Personified AI" for brands
"Personified AI" for brands is a central theme emerging from the provided sources, particularly within Accenture's "AI: A Declaration of Autonomy" and its related discussions. It represents a strategic imperative for businesses in an era where AI is becoming increasingly prevalent in customer interactions. At its core, Pe
... See moreAs the LLM market structure stabilizes, the next frontier is now emerging. The focus is shifting to the development and scaling of the reasoning layer, where “System 2” thinking takes precedence. Inspired by models like AlphaGo, this layer aims to endow AI systems with deliberate reasoning, problem-solving and cognitive operations at inference time... See more
Sonya Huang • Generative AI’s Act O1
