Wyatt Benno(@wyatt_benno):What the end of 2026 looks like for zkML. - GPUs are getting more powerful. - ZKP algorithms are getting better (10,000x vs 1,000,00x). - Model inference itself is becoming more efficient. The convergence of these 3 facts enables you to build much more w/ Jolt Atlas (v2 paper inbound). If the cost gets low enough & the speed fast enough, universally people will use ZKP over TEE (disruption!!) for many adversarial & on-device use cases. Enterprise today already choose it for verifiable AI agent guardrails w/ zero trust; I expect these trends to continue. Any good reason why they would not??

2026.08.11 19:39

What the end of 2026 looks like for zkML. - GPUs are getting more powerful. - ZKP algorithms are getting better (10,000x vs 1,000,00x). - Model inference itself is becoming more efficient. The convergence of these 3 facts enables you to build much more w/ Jolt Atlas (v2 paper inbound). If the cost gets low enough & the speed fast enough, universally people will use ZKP over TEE (disruption!!) for many adversarial & on-device use cases. Enterprise today already choose it for verifiable AI agent guardrails w/ zero trust; I expect these trends to continue. Any good reason why they would not??

Justin Thaler@SuccinctJT

2025.12.11 15:42

In March I laid out performance stages for zkVMs. By the end of 2026, we should hit “Stage 2”: 10,000x prover overhead relative to native execution. And that's when things get interesting for applications beyond blockchains.