# UniNight: Programable Privacy to Accelerate Ethereum Decentralization @Bangkok 11.11.2024

**URL:** https://collective.flashbots.net/t/uninight-programable-privacy-to-accelerate-ethereum-decentralization-bangkok-11-11-2024/4078
**Category:** Events
**Tags:** brainstorming, trusted-execution
**Created:** [November 11, 2024, 11:30am UTC](https://collective.flashbots.net/t/uninight-programable-privacy-to-accelerate-ethereum-decentralization-bangkok-11-11-2024/4078 "2024-11-11T11:30:17Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![Tina](https://collective.flashbots.net/letter_avatar_proxy/v4/letter/t/48db29/32.png) [@Tina](https://collective.flashbots.net/u/Tina)
#### Post date: [November 11, 2024, 11:30am UTC](https://collective.flashbots.net/t/uninight-programable-privacy-to-accelerate-ethereum-decentralization-bangkok-11-11-2024/4078/1 "2024-11-11T11:30:17Z")

</div>

## The Infinite Garden Stage

`18:30-19:00` Our Ethereum Journey with Jinglan Wang, Karl Fleurbach, Ben Jones, Phil Daian and Vitamin, navigated by TINA

`19:00-19:15` Live Musical Performance by Georgios K and Ben Jones

## The Sidecars Stage

_Turbocharge Ethereum Decentralization with Programmable Privacy_

`19:30-21:30`

⚡ Speedruning the Ethereum roadmap towards decentralization… with Vitalik, Barnabe, Alex Stokes, Julian Ma, Christoph Schlegel

🔐 State of Programmable Privacy: TEE x ZK x FHE x MPC reconciliation, with Mikerah

🪄 What if we have trustless TEEs and magic cryptography today, what type of applications can we unlock?

`21:30-22:00`

🧩 _Panel | Contradictions All the Way Down with Michelle Lai (privacy advocate), Quintus Kilbourn (Flashbots), Julio Linares (Poetic Technologies), Phil Daian (Flashbots), Christopher Goes (Anoma)_

- In recent times, technologies promising decentralisation and freedom have been co-opted by existing power structures. How can we learn from history and avoid repeating the same mistakes again? How can we ensure that building the future of confidential computation and privacy-preserving communication remains genuinely in the hands of the communities it aims to serve?  
In this panel, we examine the contradictions in proprietary confidential computation technology and explore how mechanism design can ensure community graph data is computed efficiently and privately by design.