1/5 Go Big or Go OOM: The Art of Scaling vLLM .
We doubled throughput and cut latency in half-same GPUs, just better vLLM config then added smart autoscaling to handle traffic bursts. Here's what we learned optimizing LLM-as-a-Judge for GRPO training.
SOFTWARE
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Scaling vLLM: Doubling Throughput and Halving Latency
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Kling 3.0 Omni: Stable subject consistency, effortless workflow, focus on story.
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Kling 3.0 Omni is the quiet breakthrough. Subject consistency finally stabilizes. Faces do not drift. Wardrobes stay intact. Identity persists across shots.
— AI Breakfast (@AiBreakfast) 9 février 2026
The workflow stays the same, but the mental overhead disappears. You focus on story instead of repairs. pic.twitter.com/j8KopYpcVRKling 3.0 Omni is the quiet breakthrough. Subject consistency finally stabilizes. Faces do not drift. Wardrobes stay intact. Identity persists across shots. The workflow stays the same, but the mental overhead disappears. You focus on story instead of repairs.
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Kling 3.0: Removing technical barriers for cinematic scene creation in one pass.
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The goal of Kling 3.0 is simple:
— AI Breakfast (@AiBreakfast) 9 février 2026
Remove the technical ceiling between an idea and a finished scene. Direction, coverage, pacing, and shot logic now happen in one pass.
You describe intent once and the system executes with real cinematic structure.
Also Kling 3.0 now supports… pic.twitter.com/Z41fanoe8eThe goal of Kling 3.0 is simple: Remove the technical ceiling between an idea and a finished scene. Direction, coverage, pacing, and shot logic now happen in one pass. You describe intent once and the system executes with real cinematic structure. Also Kling 3.0 now supports
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Chrome 142 DevTools New Features for AI Development
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What's new in DevTools, Chrome 142 | Blog | Chrome for Developers https://
buff.ly/ZPvTc8R
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Gerry Sussman Birthday: Free Access to Wizard Book
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Happy 79th birthday to Gerry Sussman, the MIT prof. who co-wrote "the Wizard Book” (Structure and Interpretation of Computer Programs) w/Hal Abelson & Julie Sussman in 1984. Read it for free here: https://
bit.ly/4jtzw7g -
Build Your First AI Agent with Gemini, n8n, Cloud Run
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Build your first AI Agent with Gemini, n8n and Google Cloud Run https://
buff.ly/zEKdNgk
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Tauri App Compatibility Issues on Older Intel Mac Hardware
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@conductor_build Trying the app on an older Intel mac, is it possible the current build doesn't run there? Not exactly up-to date but Tauri supports it… Thanks!
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Cursor AI Accelerates Code Shipping Across Complex Codebases
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@cursor_ai is helping us ship 3× more committed code across large, complex codebases. By accelerating onboarding and automating workflows from code generation to debugging, we can scale development quickly — with measurable gains in both speed and quality. Learn more → -
Integrating Gemini AI into Chrome: Future of Browser Technology
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From a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser?
— Google AI (@GoogleAI) 6 février 2026
On this week’s Release Notes, @OfficialLoganK sat down with @rosterloh and @laparisa to talk about how they approached this integration and what the future of… pic.twitter.com/qRMyptvz4fFrom a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser? On this week’s Release Notes, @OfficialLoganK sat down with @rosterloh and @laparisa to talk about how they approached this integration and what the future of
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Codex not recognizing CUDA on user’s machines
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I still can’t get codex to recognize that CUDA exists on my machines.