🤖 Technical - Immediate-Mode UI Renderer for Unity
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.
🔗 Resources:
• Original post ↗ - Immediate-mode UI renderer for Unity
• NowUI ↗ - Immediate-mode UI renderer for Unity
🚀 Tools - DeepSeek v4 Flash Vision Exp
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.
🔗 Resources:
• Original post ↗ - DeepSeek v4 Flash Vision Exp
• DeepSeek v4 Flash Vision Exp ↗ - DeepSeek v4 Flash Vision Exp
🚀 Tools - Active Relayers Metric
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.
🔗 Resources:
• Original post ↗ - Active Relayers Metric
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🚀 Tools - Unseen VR Experience
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.
🔗 Resources:
• Original post ↗ - Unseen VR Experience
• Unseen VR Experience ↗ - Unseen VR Experience
🚀 Tools - Building Cloud-Native GIS Workflows
Zoom Webinar 'Building Cloud-Native GIS Workflows with GeoLibre' Time: Sep 3, 2026 04:00 PM Amsterdam
Key Points:
• The webinar focuses on building cloud-native GIS workflows.
• It uses GeoLibre.
• The webinar takes place on Sep 3, 2026, at 04:00 PM Amsterdam.
🔗 Resources:
• Original post ↗ - Building Cloud-Native GIS Workflows
• GeoLibre ↗ - GeoLibre
🚀 Tools - Portolan CLI Release
Release v0.8 of Portolan CLI - A CLI tool for managing cloud-native geospatial data https://cli.portolan-sdi.org ↗ https://github.com/portolan-sdi/portolan-cli/releases/tag/v0.8.0… ↗
Key Points:
• Portolan CLI has released version 0.8.
• The tool manages cloud-native geospatial data.
• It is available at https://cli.portolan-sdi.org ↗.
🔗 Resources:
• Original post ↗ - Portolan CLI Release
• Portolan CLI ↗ - Portolan CLI
🤖 History - Coined Term "Artificial Intelligence"
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 ↗.
🔗 Resources:
• Original post ↗ - Coined Term "Artificial Intelligence"
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🚀 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.
🔗 Resources:
• Original post ↗ - Task SAR
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🚀 Tools - DeepSeek-V4-Flash-Vision-Exp
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.
🔗 Resources:
• Original post ↗ - DeepSeek-V4-Flash-Vision-Exp
• DeepSeek-V4-Flash-Vision-Exp ↗ - DeepSeek-V4-Flash-Vision-Exp
🎮 Gaming - 56 Hours of Final Fantasy XVI
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.
🔗 Resources:
• Original post ↗ - 56 Hours of Final Fantasy XVI
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