Asked what a “Verifiable Internet” means, Jens explained it through the lens of computation. Imagine sending a program to the cloud and not only getting back a result, but also a proof that guarantees the computation was correct.
That, he said, is the foundation of a Verifiable Internet: every piece of data should come with the ability to check its integrity.
While zero-knowledge proofs are computationally expensive today, Nexus is pushing the frontier with its zkVM and Prover Network, making verifiable computation practical and scalable.
Lowering barriers for developers and users
Daniel highlighted Nexus’s focus on user experience. For developers, building with Nexus is designed to feel familiar by leveraging existing languages and tooling through RISC-V compatibility. For users, joining the network is as simple as clicking “connect” at app.nexus.xyz. As he put it, “The faster you can abstract away the difficulty to use the product and get started, the better off the experience is for everyone.”
Why open source builds trust
On the question of why Nexus chose to build openly, Jens was direct: transparency is essential for trust. “It’s very hard to convince somebody to run a secret protocol and say now you have a hundred percent guarantee everything is great. It just doesn’t work. Open source makes the evidence visible.”
The intersection of AI and verifiability
Both speakers agreed that the rise of AI makes verifiability even more urgent. As Jens noted, AI changes the trust landscape — from deepfakes to autonomous agents generating data with unfamiliar motivations. Verifiable computation can serve as a defense mechanism, offering proof of authenticity in an era where what we see can no longer be taken at face value.
Daniel expanded on the synergy: combining agentic AI with verifiable systems could unlock unprecedented efficiency across domains like finance and healthcare, where clean, trusted data leads to better outcomes.
Scaling the prover network
One technical challenge raised was whether zk proofs can scale without sacrificing efficiency. Jens described Nexus’s approach: a Prover Network designed for parallelization, distributing proofs across millions of diverse devices, including devices ranging from servers to smartphones. This architecture reduces latency and ensures resilience while maintaining verifiability.
Community and testnet momentum
Daniel shared updates on Testnet III, which unlike earlier short-lived testnets, runs persistently to stress-test the network under sustained load. Community members can already participate by connecting through the app, running nodes, and earning testnet points.
Quests and leaderboards add gamified layers of engagement, while feedback from the community continues to shape the network ahead of mainnet launch.
What comes next
When asked what success will look like in the next 6 to 12 months, Jens pointed to key milestones: launching the L1 blockchain, refining the Nexus network experience, delivering another 10x efficiency gain in the zkVM, and expanding documentation and tooling. Ultimately, the real metric of success will be developer adoption— seeing applications emerge that make verifiability tangible.
