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♾ Optimum Pulse: September 14 - 20, 2026 🔻🔻🔻 1. Post-Quantum Security CEO Prof. Muriel Medard wrote an article for CoinDesk about the path to quantum secure blockchains. 🔗 ---- 2. New mump2p testing partner @get_optimum × Twinstake 🇬🇧 Let’s see how mump2p’s ultra-fast data propagation can push Twinstake's MEV APR further. 🔗 ---- 3. Meet the Optimum team this month Later this September, in Korea 🇰🇷 📍 Sept 28th - Ethereum Korea Conference 📍 Sept 29th - CODED@KBW, co-hosted by Optimum, Google Cloud, Four Pillars, LINE NEXT, Auros. 🔗 🔗 ---- 4. Careers Optimum is hiring a Crypto Markets & Trading Lead 🔗 ---- 5. Mystery Update The newest number is 894,600. Admin Jeff hinted that everyone will be surprised with those numbers. Anw, I'm surrender 🏳️ 🔗 ---- 6. Community Call Community Call with Jeff is back. The full recap is available 👇 🔗 ---- 7. Weekly Role Upgrade - Refined Batch 28.

From Digital Twins to Data Engine: Cutting the Real-Data Burden with Sim-Powered Robot Learning Teaching a robot a new task could take hundreds of teleoperated demonstrations. For foundation models, adapting to an entirely new robot can cost orders of magnitude more — dedicated hardware, trained operators, months of engineering. On @boosterobotics' dual-arm robot, we studied this at two levels: ✱ Specialist: Can task-aligned simulation mixed with a small set of real demonstrations reduce the real-data burden? ✅ Yes. With only 10 real demos, the policy made no contact at all in physical rollouts (0/20). Adding 50 simulated trajectories brought contact to 17/20. ✱ Foundation: Can data accumulated across tasks build a reusable starting point (a Booster-specific model prior)? ✅ Yes. After full-parameter continued pretraining, a model adapted with just 30 demonstrations per task beat the original given twice as many: 14/16 vs 10/16 in simulated evaluation. Before any task-specific adaptation, in zero-shot simulation, it was already roughly 3× closer to the target (17.27 cm → 5.78 cm). This work runs on Axis Suite, our Physical AI solution across different robot embodiments. Distributed contributors generate task-aligned sim data on Axis Hub at scale, reducing real-data needs for specialist adaptation while powering cross-embodiment generalist training. Read the full blog:

The BattleBots Pro League standings are about to get a whole lot more complicated. - Can The Twins keep surprising everyone? - Can Terrortops continue its rise? - And can Orbitron prove AI belongs in the big leagues? Watch FREE worldwide on YouTube. Powered by Bright Data.

BattleBots Pro League Episode 8: The standings are tightening. The Twins look to keep their dream season alive. Orbitron and Switchback battle for critical Pro League points. And every fight could change the Group Stage picture. FREE worldwide on YouTube.

🚨 Pro League Episode 8 Live Now: - Jackpot vs The Twins. - Skorpios vs Terrortops. - Switchback vs Orbitron. The race for the Pro League Championship just got serious. Watch FREE worldwide on YouTube. Powered by Bright Data