Saved by Darren LI
The Give-to-Get Model for AI Startups
The more reliant a task is on a large and private dataset, the more likely it is that a workflow application will be dominant instead of a model. The best software companies function as a system of record, a repository for the most important data (customer IDs, product analytics, or credit card numbers), and they’ll be able to offer superior produc
... See moreStrange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data
Scott Belskyimplications.com
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
NFX • What Makes Data Valuable: The Truth About Data Network Effects
Successful data businesses are all built around a unique or proprietary data asset. There are a few ways to build such an asset:- Brute force License and transformCore business outputPayment in kindInbound network effectsGive to get Data exhaust
Abraham Thomas • The Economics of Data Businesses
if your job is legible enough that people can make a dataset clearly pointing out what is right and what is wrong, you are at the highest risk for an AI model being “superhuman” at your job. It is even more risky if it is possible to articulate your thought process in a way that is verifiable.
Looking at this perspective, it makes more sense that c... See more
Looking at this perspective, it makes more sense that c... See more
How to have a career even when OpenAI's o3 drops
In a world rapidly accelerating toward automation and measurement, data is a commodity. Filtered, labeled, and processed data is the most valuable asset. Thus, information processing is the most important force of our reality. It’s critical that this power is decentralized.