added by Darren LI · updated 1y ago
The Give-to-Get Model for AI Startups
- With AI/ML technologies making the leap in recent years, the seductive illusion of data has only grown. More Founders are falling prey to the idea we had at Tickle: the phantom value and defensibility of data. Collecting data is easy now, but turning that exhaust into value is not trivial. Further, a world of abundant data, it’s getting harder to d... See more
from What Makes Data Valuable: The Truth About Data Network Effects by NFX
Sixian added
- There is no AI Strategy without a Data Strategy
Training AI models requires data. Whether you’re training existing models, developing models from scratch, or simply testing theories, high-quality data is crucial.
Incumbents have the data because they have the customers. They can immediately leverage customers’ data to train models and tune algorithm... See morefrom AI startups require new strategies: This time it's actually different by Jason Cohen
Nicolay Gerold added
I would differentiate between data for existing behaviors vs new behaviors. The world and our tools are constantly changing. I think AI is one of those drivers. I think the startups who can either facilitate new behaviors the best (e.g. Cursor for AI-assisted coding) or who can create entirely new behaviors have a great way to generate unique training data.
Taking existing data and making it workable with AI is a lot of work and takes skilled labor (AI + domain expertise). I wouldn’t say incumbents have the complete edge. They have the edge in certain applications and behaviors under the assumptions these behaviors are not changing to render their applications useless. - Come for the robots, stay for the humans
from Come for the robots, stay for the humans by Joey DeBruin
sari added
interesting take from Joey on how AI can help new products overcome the cold start problem