@Simon

Let me show you how you can win $2.5M to fund your dream film. I originally made this trailer for the XPRIZE competition. Making this actually led to my film 'Nexus' being funded! You can steal my entire playbook to get your optimistic sci-fi film greenlit via XPRIZE 👇🧵 https://t.co/Ram8L7Zlk2

Saylor has repeatedly compared STRC to a high-yield money market. STRC is currently under $92. I can't remember the last time I've seen a High Yield Savings Account return negative 8% in a single month. This is chart from the weekend is already outdated since STRC dropped another 3.5% today even though BTC only dropped 1%. Somehow this supposedly-stable, bank-like STRC has been behaving more volatile than BTC lately. Cracks are showing. submitted by /u/HSuke [link] [Kommentare]

AB 2015 Department of Transportation: third-party navigation applications: study and report.

🦁 The lions are building empires on-chain. Loaded Lions: Mane City is the flagship Web3 game from cryptocom a tycoon simulation built natively on Cronos chain. Design cities. Build mansions. Own everything. This is GameFi done right. Think SimCity meets FarmVille but your assets are truly yours. In Mane City, players: 🔶 Build & customize cities and mansions 🔶 Generate Gold & Diamonds from Land NFTs 🔶 Run businesses — gyms, banks, music stores 🔶 Compete on leaderboards for real prize pools Strategy. Ownership. On-chain. Mane City didn’t land on cronoschain by accident. ✅ \~$0.001 avg transaction cost ✅ Carbon neutral & energy efficient ✅ EVM-compatible — Ethereum & Cosmos ready ✅ 150M+ addressable users via cryptocom Fast. Cheap. Built for mass adoption. Mane City is just the beginning. The Loaded Lions ecosystem is leveling up: 📱 Mobile version — lower barrier, bigger reach 🤖 AI NPCs for dynamic in-game interaction ⚔️ New seasons, guild systems & PVP missions $CRO powered GameFi isn’t slowing down. The lions don’t sleep — and neither should you. 🦁👑 🔥 Get your Land NFT. Build your city. Stake your claim. The next wave of Web3 gaming is already here — are you in or are you watching from the sidelines? submitted by /u/AkoSiDagS002 [link] [Kommentare]

I wanted to share an ICML 2026 spotlight position paper on a failure mode in image-generation alignment: aesthetic preference optimization may override explicit user intent when the requested output is anti-aesthetic or outside mainstream visual taste. The paper frames this as **reversed alignment**. Instead of the model aligning to the user's stated preference, the output is pulled back toward the model's learned aesthetic prior. We test generation and reward models on prompts asking for blurry, distorted, low-fidelity, negative-emotion, and other anti-aesthetic images. GitHub repo: https://github.com/weathon/icml2026_position Paper: https://arxiv.org/abs/2512.11883 OpenReview: https://openreview.net/forum?id=1gQ4zc1Q8I I would be interested in feedback on the framing and on evaluation designs for separating prompt understanding from preference override. submitted by /u/Striking-Warning9533 [link] [Kommentare]