与「Mood」相关的搜索结果

I used Grok 4.6 to build a 2D agent simulation of The Office. Here are notes and observations on 4.6: It is a huge step up from 4.5 - both in the quality of visual outputs and in the breadth of work: personality, features, and finding usable assets for this project. The editorial content and writing were good - I like the "feel" of this model. One of the biggest wins for 4.6 is speed. The throughput (~80 tok/s) and latency are so good that it feels Composer-adjacent - something @ericzakariasson called out in his writeup. That speed + cost + performance makes for a true "workhorse" model that's practical for both personal and work use. My goal was to simulate The Office through "agents" that behaved like the characters - including all of the neuroticism and idiosyncrasies that made the show so funny. I knew what I wanted artistically - I've built similar 2D apps with pixel art. I asked Grok 4.6 to research psychological modeling, pull character descriptions, find references for the cast, and assemble 2D sprites with the Universal LPC sprite sheet generator and some RPG tilesets I grabbed online. I rattled a brief into the @cursor_ai mobile app late one night at the Cursor office and woke up to an MVP. Then I spent a day or so spamming cloud agents until the simulation worked how I liked. The cool part is that Grok did the simulation, art, and research on its own: - Every couple of minutes, each person scores a few possible actions and picks one. They pathfind around desks, work, grab coffee, talk at the cooler, hide in the annex, or end up in a meeting. - Click someone and you can inspect traits, needs, mood, relationships, and whatever they're doing right now. You can also speed time up, force Michael to call a meeting, or roll a random office event. - Each character has Big Five scores that bias what they tend to do. Needs like work, social, caffeine, status, and comfort rise over time and fall when they do something about them. - Grok reconstructed the layout from Dunderpedia (Office Wiki) and online sources - Michael's office and the conference room on the north glass, Pam at reception, sales and accounting in the bullpen, the annex to the east, restrooms and the warehouse down the stairs. - Grok helped me find a few sprite sheet packs to implement. I was surprised at how accurate some of the character sprites were - from hair color to clothing. The combination of a performant model, cloud workspaces, and high throughput made for a really fun devex - the amazing folks at @cursor_ai and @SpaceXAI make my job easier everyday. A huge shout-out to @_Brian_Zhang, whose Notion hackathon project inspired this exploration.

Meme币叙事周期：热度越来越短，唯独AI持续两年 模因币每一轮牛市都会轮换全新主题，但有一个现象很值得琢磨。 - 狗狗主题（2013‑至今）：DOGE、SHIB、FLOKI、BONK、WIF、BABYDOGE、$MYRO，横跨整整十年。 - 青蛙卡通IP（2023）：PEPE、BRETT、APU、WOJAK、CHILLGUY、GIGA，一轮行情几个月。 - 猫咪叙事（2024）：POPCAT、MEW、MICHI、TOSHI、$CASHCAT，热度只有数月。 - 真实动物热点（2024年底）：PNUT、MOODENG、$NEIRO，靠现实事件爆火，转瞬冷却。 - 政治叙事（2025年初）：TRUMP、MELANIA、$MAGA，以周为单位燃烧，来得快去得飞快。 - AI叙事（2024至今，还在延续）：GOAT、FARTCOIN、AI16Z、AIXBT、VIRTUAL、TURBO、ZEREBRO、OGI。 能明显看到一条规律：绝大多数Meme主题的生命周期，一轮比一轮更短。 狗狗IP沉淀十年；猫咪行情只有几个月；政治热点仅仅几周就落幕。 只有AI赛道，已经连续活跃两年没有彻底熄火。 核心区别： 其他全部是纯粹网络梗、纯模因，热度退潮之后一无所有。 但AI是真实在向前演进的实体行业。就算Meme炒作的那部分情绪退潮，底层产业还在持续迭代发展，源源不断输出新故事、新事件，持续给币圈输送新叙事素材。 所以市场普遍判断：下一轮大主线，很大概率依然会从AI这条大赛道里面孵化出来。 那么你觉得，下一个引爆全场的Meme大主题，会是什么？ 市场圈内几个猜想方向 1、RWA现实资产模因：股票、大宗商品结合Meme，RH链正在重点跑这个方向； 2、AI智能体Agent深度叙事：不再只是贴AI标签，链上AI自主运行、自动发币、自动交易； 3、现实社会大事件、体育赛事，靠外部现实流量破圈； 4、全新原生爆款IP，无行业背景，纯粹互联网文化爆火。