Immediate-mode UI renderer for Unity. You call the drawing API each frame and flush — no GameObject hierarchy, no retained UI tree. This approach allows for more efficient rendering and better performance.
Key points
• Immediate-mode UI rendering eliminates the need for a GameObject hierarchy and retained UI tree.
• The drawing API is called each frame, allowing for more efficient rendering.
• This approach improves performance and reduces overhead.
Sources
Original post - Immediate-mode UI renderer for Unity
Run DeepSeek v4 Flash Vision Exp on your 2x @NVIDIAAI DGX Sparks - Native image support! - Same robust production-ready repo - 1M context - 2,331,430 KV cache - Same decode speeds as before
Key points
• DeepSeek v4 Flash Vision Exp supports native image processing.
• The tool uses a robust production-ready repository.
• It achieves 1M context and 2,331,430 KV cache.
• Decode speeds remain the same as before.
We added a new metric to privacy protocol pages on L2BEAT: Active Relayers It counts the unique relayer addresses observed in relayed withdrawals over the past 30 days. Live now for @TornadoCash and @0xprivacypools , with @RAILGUN_Project coming soon.
Key points
• L2BEAT introduces a new metric: Active Relayers.
• The metric counts unique relayer addresses in relayed withdrawals.
• It covers the past 30 days.
• The metric is live for @TornadoCash and @0xprivacypools.
Some people on the Internet said.. that Unseen - Chorus protocol is like #IronLung and #IronNest have a VR baby? I wish to have a fraction of they visibility You can now experience UNSEEN for FREE with Meta’s Try Before You Buy feature!
Key points
• Unseen VR Experience is now available for free.
• The experience uses Meta’s Try Before You Buy feature.
• It allows users to try Unseen for free.
Over 70 years ago today, the term “artificial intelligence” was coined in a conference proposal: https://stanford.io/2WJJJGN
Key points
• The term "artificial intelligence" was coined 70 years ago.
• It was proposed in a conference proposal.
• The proposal is available at https://stanford.io/2WJJJGN.
Sources
Original post - Coined Term "Artificial Intelligence"
- Coined Term "Artificial Intelligence"
Tools - Task SAR
Task SAR, receive imagery, classify targets at a forward position. Full loop in minutes. Proven by tactical operators at military exercises like NATO Cold Response and ORION 2026. Also operates as a redundant ground segment node.
Key points
• Task SAR receives imagery and classifies targets.
• It operates at a forward position.
• The full loop takes minutes.
• It has been proven by tactical operators.
DeepSeek-V4-Flash-Vision-Exp is live on 2x @NVIDIAAI DGX Sparks Native image support, vLLM TP2, DSpark speculative decode + nvfp4_ds_mla KV. On just 2 Sparks: 1M-token context 2.79M-token KV pool 80 tok/s peak decode (counting), ~52 code, ~33 prose single
Key points
• DeepSeek-V4-Flash-Vision-Exp is live on 2x @NVIDIAAI DGX Sparks.
• It supports native image processing.
• The tool uses vLLM TP2 and DSpark speculative decode.
• It achieves 1M-token context and 2.79M-token KV pool.
56 hours of Final Fantasy XVI. Still thinking about the characters, the story, the mechanics, the epicness. One hour of God of War Ragnarök and I was checked out by minute 5. Just me?
Key points
• The author has spent 56 hours playing Final Fantasy XVI.
• They are still thinking about the game.
• They compare it to God of War Ragnarök.
