That’s the problem with humans. They just sit around hoping that someone will fix things.
But no one will. No one cares. The universe is…infinite and chaotic and cold.
And there has never been a plan.
At least not till now. (“/” from PoI)
İspanya şampiyonluğa yol alırken bir an..
Dünya sinemasının büyük yıldızı İspanyol asıllı Javier Bardem'e de sonsuz alkışlar..👏👏👏👏👏
(Video @aximedya hesabından alınmıştır..)
🇪🇸Certain victories remind us that freedom can still prevail.
Thank you Spain and to all those who continue to stand with courage and dignity on the side of justice.
#HastaLaVictoria
Japanese researchers created a system that simulates an entire city by generating up to 1 million virtual residents who behave like humans using LLMs.
And it predicted real-world with terrifying accuracy.
They created an urban simulator called "CitySim" that populates a digital twin of Tokyo with up to 1 million autonomous AI agents.
Each resident is powered by an LLM, complete with:
• Personal memories
• Long-term goals
• Human-like desires (hunger, fatigue, social connection)
• Spatial awareness and navigation
Most urban simulations rely on rigid, hand-crafted rules, if A happens, B follows.
CitySim is different. It’s "value-driven." The agents have agency. They generate their own schedules based on their personal habits, situational needs, and changing environments.
When researchers ran the simulation in Tokyo, the output was chillingly accurate.
Weekday commuting patterns, weekend leisure activities, and shopping habits matched Japanese government statistical data with near-perfect precision.
It even successfully predicted crowd distributions in Shibuya and identified which stores would actually become popular, months before the real-world data caught up.
The implications for urban planning are massive.
We can now safely and cost-effectively test disaster preparedness, commercial site planning, and public infrastructure upgrades without moving a single physical person.
But it’s not just about planning.
The researchers are already looking at implementing high-level human drives, like "self-actualization," into these agents to see how they evolve.
The paper went up on arXiv in June 2025 and almost nobody outside computational social science has read it.
Muğla Akyarlar'da iki küçük kızın bahçelerinden topladıkları domatesleri satmak için terazi başında beklediği o sevimli anlar izleyenlerin içini ısıttı.
#VamosEspaña
İspanya hükümeti ve başbakanının uluslararası hukuk ve insan haklarına önem veren duruşu,Filistine desteği Türkiyede de haklı bir sempati kazandı,milli takımı da hak ederek dünya kupasını aldı.
Hukuku kaybeden Ülkemiz ise sadece futbolda değil her alanda kaybediyor.
Ahbap soruşturulsun, gönüllü bağışımızın hesabını bilelim. Ama asıl zorunlu ödediğimiz vergiler nereye gidiyor? Ne kadarı cemaat-tarikatlara aktarılıyor, ne kadarı dıj güçlere pardon yabancı fonlara faiz olarak ödeniyor? Ahbap’a kendi rızamla bağış yaptım ama devlete vergiyi zorunlu ödüyorum. Öncelikli hesap budur.