#NanchangMorningNews# This year marks the 99th anniversary of the founding of the Chinese People's Liberation Army and the Nanchang August 1st Uprising. As the Army Day approaches, red tourism sites across Nanchang have seen a surge in visitors. Reservations for the Nanchang August 1st Uprising Memorial Hall are fully booked every day. Tourists from all over the country come here to reflect on revolutionary history and carry forward the red spirit. 今年是中国人民解放军建军暨八一南昌起义99周年，随着“八一”建军节的临近，南昌多处红色景点游客激增，南昌八一起义纪念馆预约参观持续爆满，各地游客前来感悟红色历史、传承红色精神。

99% of humans have an extremely limited view of AI They are only exposed to either cheap or free models and don’t understand how capable it is today It is already 10x smarter than almost all human beings

99% of people on CT waste their time, Once you start muting/unfollow the 'larp' growth accounts, your timeline feels 10x better. Start following those who are building actual sh*t, people with real thoughts, not secret growth-hack strategists. The growth hackers teaching you to engage with bigger accounts, do 1000 replies a day, yeah they're turning you into another forgettable creator. The real alpha is being f*cking interested, having opinions, sharing real experiences and you'll see the difference. Tired of the gurus who are still struggling to lift themselves off and sharing the same recycled advice. Unfollow, mute, block, in that order.

99 @dune dbt models. Hourly. Production-grade. Here's the honest version of how we got here. ➢ The beginning was not smooth. Weekend Slack alerts firing. Models broken. Me debugging incremental window logic at 11pm. Every incident got root-caused. Every root cause became a SOP rule. Slowly, the alerts stopped. Not because I got lucky — because the system learned. The turning point wasn't a single fix. It was patience + documentation. SOP v1 → v2.43. Every weekend alert became a permanent guardrail. Now migrations are genuinely smooth. The next model starts from a baseline that has already survived every failure mode we've hit. Big thanks to the @dune team — @kdotkrisp @onchain_ben @fr0zensun — for the technical reviews. They reviewed my incremental model designs, read through a very long SOP, and helped me think through the architecture properly. That kind of support matters. ➢ A thought on web2 vs web3 data work. At my previous big tech job, I had: • A fully managed internal data platform • A dedicated data engineering team to build the tables • Tooling that abstracted away almost everything I was a good analyst. But I was operating inside a very comfortable box. In web3, none of that exists. I own the full stack: upstream event indexing → dbt models → incremental design → CI validation → dashboard cutover. It's harder. But I enjoy it more. Because now I understand the entire data supply chain — not just the last mile. And an analyst who understands the full stack is significantly harder to make obsolete. That's what I mean by antifragile. The friction was the point.