Introducing Bonsai, an Optimistic L3 scaling solution, that will process transactions at hyper-scale, and is designed to support the next generation of web3 social users.
Available for Lens devs in closed beta today.
Data availability layers are utilized to prevent storing information on-chain. While content on Lens may include an on-chain transaction, the content data is linked to a data availability location, like Bonsai.
Bonsai serves as a scaling solution that processes Polygon transactions off-chain, achieving hyperscale and reducing costs. Unlike L2 solutions, Bonsai doesn't compress transactions into L1, it sends and stores them on a data availability layer.
The main challenge for decentralized social networks is to ensure that users have control over their content, while still being just as user-friendly as traditional social networks.
Bonsai makes the future of decentralized social possible.
We've worked relentlessly with the @bundlr-network.lens work and Arweave teams to ensure scalability by providing Data Availability (DA) guarantees, allowing the use of Ethereum Virtual Machine (EVM)-supported wallets to save DA logic and facilitating the rapid publishing of data.
Permissionless innovation is at the core of everything we do on Lens. As we approach one year on mainnet (still in beta), we have been blown away by the talent and passion in our dev community but we realize in order to scale to the masses, we need to build new solutions.
Bonsai is currently only being beta tested on @lensterxyz.
We look forward to seeing more applications roll out Bonsai.
Dive into the dev docs here: docs.lens.xyz/docs/data-availability-post
Explore: bonsai.lens.xyz
Read our latest blog here: mirror.xyz/lensprotocol.eth/3Hcl0dGE8AOYmnFolzqO6hJuueDHdsaCs3ols2ruc9E
I published a new post - Supercharge Your GPT Model: Custom Data Fine-Tuning using Node.js ✨
GPT is limited in that the training data isn't up to date + missing info on niche topics.
In this tutorial learn how to fine-tune GPT with custom data from scratch.