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Many folks were suprised by how fast I decided to leave my PhD program at Harvard and join MegaETH two months ago. To be honest it was such an easy choice. Any systems researcher would do the same after reading @yilongl_megaeth's analysis of Etheruem performance and chatting with @yangl1996.
我看最近大家都在玩oppo 心力球,也买了一个。
但这东西居然要求买oppo手机,且数据是被oppo管理的。
下面是一份帮你自主管理心力球数据的sdk,你可以随意让agent写应用来帮你管理硬件。没有任何限制,不需要oppo手机,不需要下载应用。
github.com/kiyoakii/xinliqiu…
Been running deepswe with deepseek v4.1 flash for fun. Interestingly it recognizes deepswe question format and always tries to guess what hidden tests would be instead of programming as an expert. In its thinkings, keyword "hidden tests" just comes out of nowhere. RL I guess.
OK, enough. I'm tired of wondering whether GPT quietly got worse on me and just isn't saying so. To find out if it's my paranoia, I built is-gpt-nerfed: a nerf detector for Codex.
Nerfing can happen at three levels, and it checks all three:
- Account level: your whole account has been degraded. Every new session gets the worse model. Caught by probing a brand-new session.
- Session level: only some of your sessions are degraded. Caught by forking the session ephemerally and fingerprinting the answers, so nothing shows up in Codex.
- Request level: only some of your requests are degraded. A single turn quietly sent to a smaller model or a lower reasoning effort. Codex's own records give this away, so this check costs zero tokens. If those records lied, this would be the hardest level to catch. It's also the least likely: switching models mid-session throws away multiple layers of cache, which costs them more compute.
It also tells you when you've been quietly moved up to a canary model, like the 5.6 Sol → 6 Sol switch people have been reporting on X.
🤖 Made with AI
A friend ran it and found his gpt-6-astra sessions answered by 5.6 Luna. He'd never have known.
github.com/kiyoakii/is-gpt-n…







