August 1 & 2, 2026 (can sell together or separately)
MetLife Stadium
Face value: $300 each
Serious buyers only. Transfer via official Ticketmaster
DM me with questions!#BTS#ARIRANGTour#BTSTickets
🚨 Anthony Gordon takes his first photo as new Barcelona player 🔵🔴
Here just landed with agents Adam Dugdale and Will Salthouse from Unique Sports Group.
Next steps: medical and contract signing. ✍🏼
🚨🔵🔴 Barcelona are preparing first official bid for Julián Álvarez, to be sent soon — and without any players included.
Julián informed Atléti of desire to leave after rejecting a new deal months ago.
❗️ After direct meeting with agent & intermediaries, Barça will send a bid.
🎩 | That's a lot of hat-trick heroes
There have now been eight hat-tricks in LaLiga this season, with half of them coming from Barcelona players:
• Robert Lewandowski v Celta
• Ferran Torres v Betis
• Lamine Yamal v Villarreal
• Raphinha v Sevilla 🆕
This is the first time in the 21st century that four different players from one team scored a hat-trick in a single LaLiga campaign 🤯
Ever wondered how Sentient thinks faster and smarter than most AI?
Come with me, let’s unpack it.
☆ Parallel execution in Sentient’s ROMA is a game-changer for AI reasoning
Traditional AI often solves tasks step by step. That works, but it’s slow, resource-heavy, and limits what a single agent can handle. ROMA does it differently: it breaks big problems into smaller tasks and runs them at the same time across multiple agents.
☆ Each mini-task runs independently but feeds back seamlessly into the main solution. This means agents can explore multiple strategies or angles simultaneously.
Benefits: • Speed – tasks finish in a fraction of the usual time • Efficiency – shared intermediate results reduce redundant computation • Depth – multiple reasoning paths improve accuracy and robustness
☆Combined with recursive decomposition, ROMA breaks tasks into subtasks, processes them in parallel, then merges results into a coherent solution.
Think of a puzzle: instead of one person handling every piece, a team tackles sections simultaneously. The final solution is faster, smarter, and often more creative.
☆ Layer GEPA reflective optimization on top, and each mini-task doesn’t just execute....it reflects, evaluates, and iterates independently.
This means collective intelligence grows continuously, faster, and more reliably than traditional reinforcement learning. Complex models, ambitious experiments, and meaningful results now require less compute.
☆ Parallel execution is the backbone of ROMA: scalable, multi-agent, reflective, and human-like reasoning.
Every query isn’t just answered.. it’s analyzed, optimized, and learned from in real time. This is how open-source AGI like Sentient can outpace closed systems and innovate faster.