Trabzonsporlu olmak… Formayı gördüğün an, daha önce ne kadar samimi olduğunun hiçbir önemi kalmaz. Bilirsin ki büyüğün sana abilik, küçüğün de kardeşlik yapacaktır. Gün gelecek yüzlerimiz değişecek ama biz hep var olacağız. Biz ve bizim gibiler. Dünyanın her yerinde.
📍İrlanda
@steipete Also searching the web for React's latest version feels like the long way around when curl https://t.co/JJ6kY96zv0 would nail it instantly. Web search tools usually the first choice by models when a simple curl is actually all you need.
@Cloudflare AI crawlers have used creators' content without compensation for too long. The web needs a fair model.
@X 's creator revenue sharing is a solid example of valuing content properly.
@G4brym@aninibread@G4brym loving the AutoRAG updates! Any plans for an API to create AutoRAG instances programmatically instead of manually via the dashboard? Would make automation so much easier for scaling workflows.
@BraydenWilmoth@CloudflareDev I also noticed in the docs that location hints are possible, so we can influence where a DO instance is created (though it’s not available in every Cloudflare data center yet). That’s a nice touch for optimizing latency if needed.
@BraydenWilmoth@CloudflareDev Thanks for the clarification! With this and the docs, my understanding is that each DO instance is created on the nearest available server to where it’s first invoked. After that, all Workers around the globe route requests to that specific instance using its globally-unique name
@BraydenWilmoth@CloudflareDev Since Workers on edge servers route the initial request, I’m not sure if the DO’s location impacts this stickiness or how CF handles global distribution to keep all users on the same instance. I couldn’t find a clear answer in the docs and would love to understand this better.
@BraydenWilmoth@BraydenWilmoth (thanks for the post!) @CloudflareDev I’m curious about sticky WebSockets in this setup: with users from different regions, how does Cloudflare ensure their WebSocket connections remain pinned to the same DO instance for real-time messaging?
@BLCNYY@OpenAI we are working to make it much more efficient and then will offer much higher usage limits
in the meantime, please send me your email address
I just built the same thing using Gemini 2.0 Flash with Pair Agent - took a few iterations (just like OpenAI's demo surely did)
https://t.co/LShfW6FFlm
What makes this impressive:
• Collision detection with rotating boundaries
• Vector math for accurate physics
• Handling edge cases (balls staying contained)
• Translating natural language to mathematical implementation
This is far beyond what AI could do 5 years ago.
I just built the same thing using Gemini 2.0 Flash with Pair Agent - took a few iterations (just like OpenAI's demo surely did)
https://t.co/LShfW6FFlm
It's not *exactly* the same animation as OpenAI's demo, but the point is the same.
The goal here is demonstrating how LLMs can handle complex edge cases and follow detailed technical instructions - even for physics-based animations.