与「RPG」相关的搜索结果

🏀 Week 15 Players of the Week 🏀 Eastern Conference: Angel Reese | @AtlantaDream 19.3 PPG, 9.0 RPG, 1.5 BPG Western Conference: A'ja Wilson | @LVAces 27.8 PPG, 8.8 RPG, 3.8 APG #WNBASeason30#

They’ve done it again ✨ A’ja Wilson (PPG), Alyssa Thomas (APG) and Angel Reese (RPG) are the 2026 Peak Performers! The trio also finished as the leagues Peak Performers a season ago and continued their dominance this year 👏 #WNBASeason30#

早期阿尔法： @trysuperfluid Robinhood 链上 NFT @Casberiapp HL (Hyperliquid) 代币 @BALDonBaseStonk AI 智能体 / Agent 项目 @NibblinsHQ Base 生态项目 @zeoul_dex Robinhood 链上 NFT @MediciFDN 去中心化交易所 (DEX) @Holditonrh 基金会官方账号 @EclipseFinance_ 去中心化金融 (DeFi) @getlotusxyz Robinhood 生态借贷协议 @aestrodom 预测市场底层协议 @Hyperliquid_OS Robinhood 生态 DeFi @venomhl_ 真实世界资产 (RWA) 去中心化交易所 @thmbio HL (Hyperliquid) 生态项目 @FishermenNFTs 博彩 / Casino 项目 @signaldotfamily Robinhood 链上 NFT @larvastocks HL (Hyperliquid) 生态 SocialFi @Liq_Hunt Robinhood 链上 NFT @StonkersApp 预测市场 @InkCrocs Ink 网络 NFT @OnchainHarvest Ink 网络 NFT @ChimponsRH 链游 (GameFi) @Omakase_rh Robinhood 链上 NFT @RpgOnchain Robinhood 生态项目 @sporefolks Robinhood 生态 RPG 游戏

早期阿尔法： @trysuperfluid Robinhood 链上 NFT @Casberiapp HL (Hyperliquid) 代币 @BALDonBaseStonk AI 智能体 / Agent 项目 @NibblinsHQ Base 生态项目 @zeoul_dex Robinhood 链上 NFT @MediciFDN 去中心化交易所 (DEX) @Holditonrh 基金会官方账号 @EclipseFinance_ 去中心化金融 (DeFi) @getlotusxyz Robinhood 生态借贷协议 @aestrodom 预测市场底层协议 @Hyperliquid_OS Robinhood 生态 DeFi @venomhl_ 真实世界资产 (RWA) 去中心化交易所 @thmbio HL (Hyperliquid) 生态项目 @FishermenNFTs 博彩 / Casino 项目 @signaldotfamily Robinhood 链上 NFT @larvastocks HL (Hyperliquid) 生态 SocialFi @Liq_Hunt Robinhood 链上 NFT @StonkersApp 预测市场 @InkCrocs Ink 网络 NFT @OnchainHarvest Ink 网络 NFT @ChimponsRH 链游 (GameFi) @Omakase_rh Robinhood 链上 NFT @RpgOnchain Robinhood 生态项目 @sporefolks Robinhood 生态 RPG 游戏

VJ Edgecombe helped the Bahamas clinch a spot in Round 2 of the FIBA World Cup qualifiers! 🇧🇸 22.5 PPG 🇧🇸 7.0 RPG 🇧🇸 4.5 SPG 🇧🇸 55.0 3P% 🇧🇸 2-0 record (via @FIBAWC)

🏀 Week 12 Players of the Week 🏀 Eastern Conference: @CaitlinClark22 | @IndianaFever 25.7 PPG, 3.3 RPG, 9.7 APG Western Conference: @oliviamiles06 | @minnesotalynx 18.0 PPG, 4.5 RPG, 7.5 APG #WNBASeason30#

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.