Why Bluesky's Explosion May Shift a Shift Toward More Decentralized AI

Why Bluesky's Explosion May Shift a Shift Toward More Decentralized AI

The Great Twitter Exodus

The decline of Twitter, now known as X, has been a prominent topic recently. The platform has seen a significant drop in usage due to several factors, including:

  • Waning content moderation
  • The re-platforming of previously banned users
  • Aggressive use of algorithms that promote certain content without transparency

A recent policy change that became the last straw for many users was the decision to show posts to users they had previously blocked.

Enter Bluesky

Amidst the Twitter exodus, a new platform has emerged as a potential successor: Bluesky. With over 22 million signups and 10,000 new users joining every 15 minutes, Bluesky has surpassed Threads as the go-to place for those seeking an alternative social media experience.

Why Bluesky is Different

Several key features distinguish Bluesky from Twitter:

  • It operates on the AT Protocol, a decentralized network that gives users more autonomy and privacy
  • No single entity controls the platform
  • Users can set up custom domains
  • Users can host their own content
  • Users have flexibility over what they see and share by tuning the default algorithm or creating their own feeds

In contrast, Twitter stores all data centrally, employs an opaque algorithm, and offers no feed tuning capability.

The Parallel with AI Adoption

The shift toward decentralized social media platforms like Bluesky mirrors a growing trend in the AI landscape: a preference for open-source AI ecosystems.

Many organizations are uncomfortable sharing private data with public AI models and losing control over their most powerful tool. We here at BlueTeam AI have heard this, and now offer a private AI inferencing platform we call "BlueChat" using transparent open-source models, addressing concerns around data ownership, privacy, and control.

What This Means for Enterprise AI

Decentralized, Private AI platforms offer several advantages:

  • Data Privacy: Organizations can store their data where and how they want, preventing unauthorized access and use.
  • Tunability: Control over model parameters allows for balancing cost, performance, and other factors.
  • Cost Predictability: Permissively licensed models enable organizations to provision only the compute capacity they need.
  • Vendor Neutrality: Organizations can choose the best model provider for their use case and switch over time as needed.

We think the rise of Bluesky and the increasing appeal of open-source AI signal a shift toward decentralized approaches which prioritize user autonomy, privacy, and control.