Thin Layers of AI, Thick Layers of Personality
Regardless of your GTM approach and the type of users teams end up choosing, my core view on building AI-first companies in 2022 is that outside of the core team dynamics above, pace and conviction will be what dictates success.
The pace of innovation means having the time to see validating data will be nearly impossible, and thus teams must build a... See more
The pace of innovation means having the time to see validating data will be nearly impossible, and thus teams must build a... See more
Michael Dempsey • Company Building in the Curiosity Phase of AI
Joey DeBruin added
Interface > Data > Models
While media still focuses on the “next best model” rat race, increasingly believe that the “interface” and “data” layers will further distinguish market leaders while the “models” layer becomes increasingly commoditized and pushed to the edge (becoming increasingly obvious as mobile chips get better and OSes g... See more
While media still focuses on the “next best model” rat race, increasingly believe that the “interface” and “data” layers will further distinguish market leaders while the “models” layer becomes increasingly commoditized and pushed to the edge (becoming increasingly obvious as mobile chips get better and OSes g... See more
scott belsky • Tweet
alex added
moats in an AI world
My thinking goes to – what new product experiences are uniquely enabled by generative AI or LLMs as a form factor? Or which existing products that solve a need can be made 100x better? I’m reminded of just *how* mobile-native Uber, Snapchat, and Instagram were – they simply couldn’t exist in a previous paradigm.
Aashay Sanghvi • 4 questions on AI
sari and added
sari added
The first step is to understand the fundamental difference between humans and AIs. We are analog, chemical beings, with emotions and feelings. Compared with machines, we think slowly—and we act too fast, failing to consider the long-term consequences of our behavior (which AI can help predict). So we should not compete with AI; we should use it. At... See more
Esther Dyson • Don’t Fuss About Training AIs. Train Our Kids
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
- Cloud companies targeted the software profit pool. AI companies target the services profit pool.
- Cloud compa
Pat Grady • Generative AI’s Act O1
Customer empathy makes a comeback. Companies will move beyond the “best gen AI model” rat race by radically transforming everyday consumer and enterprise workflows with a rich and deep pipeline of category-specific capabilities for the long-tail of professional needs. I like how my friend Aaron Levie, founder of Box, recently described these layers... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Nicolay Gerold added
Interface > Data > Model: The “interface” and “data” layers will further distinguish market leaders while the “models” layer becomes increasingly commoditized and pushed to the edge. As a growing number of our everyday use-cases of powerful GenerativeAI models fall below the frontier of “the best models,” they will be enabled by cheaper commoditize... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Nicolay Gerold added