Building @mbd - AI Recommendation Engine for Web3. Ex-ML Lead @Chainlink. Ex-Sr Data Scientist @AWS.

Far(away)con insights #4 

Had the pleasure to dive deeply into web3 social feed algorithms and how @yassinelanda.eth is tackling the problem with MBD

Super excited about what they are building and how much it is needed -->

As more and more clients are launched on top of permissionless or sufficiently decentralized social networks like Farcaster, Lens, mastodon , the more developers need moderation and feed curation as a service. Most team do not have the knowledge nor the capacity to build their own ML algorithms , let alone 

Offer a menu from which the client can choose, or even the end user. 

Im mostly excited about the ability for new social apps to prioritize positive social networks behaviour over polarization, 

Which is the default outcome today when ML and AI devs are required to build algorithms that optimize the P&L of the companies they work for, with out barring with the consequences.

The consequences are hard. 

Im going to keep close attention to this space.

Happy that @socialgraphvc is an investor in MBD & can support the team in their journey to solve this fundamental problem. 

Thanks for your support, was lovely to meet and go deep!🫡