How to lose at Generative AI!
Sonya Huang • Generative AI’s Act Two
Darren LI added
Sobriety source #2: AI as the next platform shift. Every wave of new companies that transforms their respective industries is fueled by a major platform or technology shift. The advent of the web did this. The smartphone and mobile applications did this. And there is no doubt that AI is our next wave. But does every new wave always necessarily favo... See more
The Great Sobriety for Venture Investing, Where To Start with AI, & Undeniable Data
Abie Cohen added
AI notes
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
Darren LI and added
- AI will drive extreme consolidation.
- The companies that win will be in the sweet spot between owning workflows and building great products. Ramp is in the sweet spot.
- Of all of the workflows to own, finance is the most lucrative.
Ramp and the AI Opportunity
Max Beauroyre added
Disruption Theory & risk-aversion don’t apply
Incumbents typically cede market space to startups wherever there’s new, unproven technology or a new, unproven market, especially in spaces where they can’t use past data to predict the future. But in AI, they’re rushing to embrace new technology and uncertain markets, spending historic amounts of ... See more
Incumbents typically cede market space to startups wherever there’s new, unproven technology or a new, unproven market, especially in spaces where they can’t use past data to predict the future. But in AI, they’re rushing to embrace new technology and uncertain markets, spending historic amounts of ... See more
Jason Cohen • AI startups require new strategies: This time it's actually different
Nicolay Gerold added
In a pre-AI world, in order to build an application, you needed to reduce your idea to a process—a set of rules by which your software would operate to accomplish the goal you set. Sometimes this was easy; for example, a customer relationship manager like Salesforce is naturally reducible to rules.
In a post-AI world, you can build applications for ... See more
In a post-AI world, you can build applications for ... See more
Dan Shipper • Five New Thinking Styles for Working With Thinking Machines
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