# $PUMP Social Sentiment & Intelligence — 2026-07-24 15:20 UTC > **Asset:** $PUMP > **Momentum Status:** Stable > **Timestamp:** 2026-07-24 15:20 UTC (2026-07-24T15:20:00Z) > **Canonical URL:** https://cryptitalk.com/2026-07-24-15-20/crypto/PUMP > **Overview Brief:** https://cryptitalk.com/2026-07-24-15-20/crypto.md --- ## 10-Minute Social Metrics - **Posts Analyzed:** 1 - **Total Impressions:** 77 - **Likes:** 3 - **Retweets:** 0 - **Comments:** 0 --- ## Momentum & Sentiment Analysis Total Engagement - Comments: 0, Retweets: 0, Likes: 3, Impressions: 77 --- ## Cited Community Posts & Evidence ### Post #1 by @boundless_xyz > **Author:** [@boundless_xyz](https://x.com/boundless_xyz) > **Metrics:** 1 likes · 1 retweets · 0 comments · 1.5K views > **Source Link:** [https://x.com/boundless_xyz/status/2080659212875464865](https://x.com/boundless_xyz/status/2080659212875464865) > > "A week ago, our CEO @sshankar made a statement that "ZK is a sibling to AI." Here's what that actually means ↓ [Spoken audio]: When ZK systems started getting designed, GPUs were already available. One of the key things that a lot of key researchers in the field of ZK started looking into is how do they run all of these workloads on GPUs from day one? Take advantage of NVIDIA kernels, CUDA, to run these workloads really quickly. The performance boost, of course, happened over a period of time. I think it's fair to say in the last two to three years, there's been 100x improvement in how ZK systems run because they made the earlier choice of using GPUs. But consequently, a side effect of that was also seeing how efficient AI models were becoming and how cheaply they were running on GPUs as well. And we started running experiments locally on our GPU machines that represent the machines on the network. So not like super specialized liquid cooled machines but off the shelf in medium machines and we realized that they have such a similar cost and pattern and how they run and how they're aggregated, we realized they're basically siblings." --- ## Contributing Accounts - `@Artilect2600` (https://x.com/Artilect2600)