Meta's $14.3 billion acquisition of Scale AI 🆚

Following the Story and A16z, 15 million has been invested to incubate Poseidon.

Superficially similar, but fundamentally different.

➤ What is it for?

- Scale AI
The largest data annotation company in the AI industry at present. In simple terms, it is a processing factory that prepares training data for large model companies like OpenAI and Meta.
For example, labeling objects in images; breaking down videos frame by frame for analysis; converting speech into text; processing vehicle sensor data, etc.
The fact that it is Meta's second largest external investment ever shows how important it is, focusing on human annotation, enterprise delivery, and contract-based supply.

- Poseidon @psdnai
Turn data into an asset that is ownable, traceable, and revenue-sharing.
For example, first-person footage taken with a mobile phone; extreme driving scenes recorded by a dashcam; speech sounds, voice samples with accents, etc. are all valuable assets, focusing on distributed collection, traceable IP, and programmable licensing.

➤ Who is the founder

Scale AI founder Alexandr Wang is a dropout from MIT, who started his business at the age of 19. By recognizing the explosive potential of this data supply chain, he became the youngest tech billionaire in the United States.
Poseidon was co-founded by Sandeep Chinchali (Stanford PhD, Assistant Professor at the University of Texas) and Sarick Shah (AI Engineer), both of whom have been deeply involved in AI technology and its practical deployment for many years. The project is incubated and led by Story Protocol @storysylee, a former executive at Kakao Entertainment and founder of Radish.

➤ How to make money

The business model of Scale is also very simple.
The client provides the original data → Scale helps with annotation, cleaning, and packaging → Enterprises pay by volume or sign long-term contracts such as with the government or defense.
This is also why Scale has been referred to as a sweatshop before.

Poseidon is here to change this.
Allow everyone to participate in data contributions (for example, uploading POV perspective videos using a mobile phone)
Each piece of data will be cleaned and labeled, and rights will be secured on-chain through @StoryProtocol. The data has copyright and authorization records.
When the model uses this data, it will trigger authorization and revenue sharing, allowing data contributors to earn income (similar to "royalties" for digital content).

The Web2 model of Scale AI is controlled by a few giants who manage data and distribution rights.
The Web3 model of Poseidon allows everyone to contribute, verify rights, and earn, making data a part of public assets.