The long-awaited showdown between the Archons and the Fatui Harbingers is here... as a DANCE-OFF💃🕺!? Watch Genshin characters hit the streets with electrifying dance styles in this fan animation! Mavuika voiced by Angel Aijia Tang Capitano voiced by Raphael Corkhill Music by 饭卡, JZlee And don’t miss out on the newly released Genshin 5.4! #GenshinDanceOff# #GenshinImpact# #原神#

AI coding agents are powerful… but chaotic. Archon + Agent Skills turn them into deterministic PR machines. Parallel agents. Zero merge conflicts. Running locally on my M4 Pro.

NEW RESEARCH: You can play soccer with your Unitree G1 Humanoid! This project involves @PeterYChong, @YuhangLu2000, @sephy_li, and others. It is a collaboration between OpenDriveLab, the University of Hong Kong, the Chinese University of Hong Kong and Archon Robotics. Called RoboNaldo, it is a reinforcement-learning policy that makes a Unitree G1 humanoid (29 DoF, 35 kg) shoot a soccer ball, both stationary free-kicks and one-touch shots on a moving ball. It is trained by a three-stage motion-guided curriculum in Isaac Lab (4096 parallel environments): - Stage 1 imitates a single human-kick reference (retargeted from a human video via GVHMR and GMR) with no ball or task reward - Stage 2 adds the ball, a target and shooting rewards while randomizing the ball spawn - Stage 3 adds a high-level locomotion command and a kick trigger so it can walk up and volley Perception is onboard and egocentric: a head-mounted Livox MID-360 LiDAR and a chest RealSense D435 track a retro-reflective ball (Kalman-fused), and an AprilTag (or a fixed coordinate) marks the target, all at 50 Hz with no motion capture. What is interesting imho: if you remove Stage 1 (imitating one retargeted human-kick video), the alive rate collapses to 1.2 percent, it topples on nearly every attempt. The human prior's real job is whole-body stability through a violent, high-impulse motion, not style; the hard part of a robot kick is not aiming but not tipping over from your own swing The onboard, no motion capture perception still needs a retro-reflective ball and an AprilTag goal. Ball localization is a head Livox MID-360 LiDAR plus a chest RealSense IR camera tracking a retro-reflective ball, fused by a Kalman filter. The target is read from an AprilTag or hardcoded as a fixed coordinate. It shoots hard but sub-human and only roughly accurate. Peak ball velocity is 13.10 m/s, which it reports as 59 to 71 percent of a professional open-play shot (about two-thirds of a real Ronaldo, fitting the pun). Stationary accuracy is 0.73 m average error from 3 m, with 31.5 percent of shots inside 0.5 m and 80.6 percent inside 1.0 m. The entire motion prior is one human video. There is no kick dataset and no mocap suit: a single human-kick clip retargeted to the 29-DoF G1 via GVHMR and GMR, then curriculum RL across 4096 Isaac Lab environments deviates from it for aim, contact and timing. It is the same one-demonstration-plus-sim-compute recipe as LadderMan and the perceptive-parkour projects I talked about previously. Also fun fact: it is an autonomous-driving lab pivoting to humanoid soccer. RoboNaldo comes from OpenDriveLab (the HKU end-to-end self-driving / UniAD group) with CUHK and the startup Archon Robotics, all Hong Kong based.

Twelve months of building the full stack for markets and machines. One report. @TokenRelations recently published the Aptos Annual Report, covering April 2025 through May 2026. What happened: +2.95B transactions processed. 532% increase year-over-year. Stablecoin market cap grew 91% to an all-time high of $1.95B. Monthly stablecoin volume peaked at $68.13B in July. RWA value on Aptos rose 58.5% to $869.9M — with BlackRock's BUIDL, Franklin Templeton's FOBXX, Ondo's USDY, and more tokenized products now live on the network. Three governance proposals toward performance-driven tokenomics: a 2.1B hard supply cap, staking rewards cut from 5.19% to 2.6%, and a 10x gas fee increase — with all fees permanently burned. Aptos Foundation will permanently lock 210M APT, roughly 18% of the circulating supply. On the infrastructure side, block times dropped to under 50ms, and again to under 25ms. Confidential APT launched to mainnet. Encrypted mempool is pending governance approval. And Archon will push block times toward 10ms — closing the gap with centralized exchanges. @DecibelTrade went live in February. @shelbyserves is in early access. @useTria, @yellowcard_app, @Bitso, @coinsph, and @sphere_labs connected users from across Africa, Latin America, Southeast Asia, and beyond to Aptos. Aptos Foundation and @AptosLabs are committing over $50 million to make Aptos the full stack for markets and machines, spanning funding for first-party products, research, protocol infrastructure, and a strategic fund for trading and AI partners. The full report: