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AI frontier model updates & open source LLM releases
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πŸ“° NVIDIA - Integrating Context-Aware Video AI Agents Into Enterprise Workflows
A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and…

https://developer.nvidia.com/blog/integrating-context-aware-video-ai-agents-into-enterprise-workflows/


πŸ“° NVIDIA - Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField
Agentic AI changes the infrastructure pattern for AI factories. One request can trigger many model calls, tool calls, memory lookups, policy checks…

https://developer.nvidia.com/blog/scaling-agentic-ai-factories-through-extreme-co-design-with-nvidia-bluefield/


πŸ“° NVIDIA - Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills
Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking…

https://developer.nvidia.com/blog/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills/
πŸ†• [HF Models] inclusionAI - LLaDA2.2-flash


https://huggingface.co/inclusionAI/LLaDA2.2-flash
πŸ”“ Google AI Blog - Evolving Spec-Driven Development: Conductor Now Supports Antigravity
Conductor has evolved from a Gemini CLI extension into a portable plugin, bringing conversational Spec-Driven Development (SDD) to ecosystems like Antigravity CLI and Claude. Rather than relying on strict command sequences, developers can now chat naturally with their AI assistant while it dynamically manages persistent markdown artifacts (like spec.md and plan.md) in the background. This update eliminates workflow friction while ensuring your repository remains a version-controlled, single source of truth for your project's architecture and state across different AI tools.

https://developers.googleblog.com/en/evolving-spec-driven-development-conductor-now-supports-antigravity/
πŸ“° Claude Blog - Working at the frontier: How Cursor knew Claude Fable 5 was ready for the hardest 1% of problems

https://claude.com/blog/working-at-the-frontier-cursor


πŸ“° Claude Blog - Zero risk isn't the job: a CISO's guide to agentic AI

https://claude.com/blog/ciso-guide-to-agentic-ai


πŸ“° Claude Blog - How Anthropic runs large-scale code migrations with Claude Code

https://claude.com/blog/ai-code-migration


πŸ“° Claude Blog - Working with Claude Fable 5 in Claude Cowork

https://claude.com/blog/working-with-claude-fable-5-in-claude-cowork


πŸ“° Claude Blog - Working at the frontier: Why Base44 trusts Claude Fable 5 with their most challenging engineering work

https://claude.com/blog/working-at-the-frontier-why-base44-trusts-claude-fable-5-with-their-most-challenging-engineering-work
πŸ—“οΈ Weekly GitHub Activity


πŸ¦™ llama.cpp
β”” Release: b9966 β†’ b10068
β”” 102 commits

- Added support for Hunyuan 3 (hy_v3) with MTP speculative decoding #25395 #25641
- Added support for Minimax2 Eagle3 speculative decoding 259ae1d
- Added support for BitNetForCausalLM GGUF conversion #25769
- Implemented GGML_OP_LIGHTNING_INDEXER for DeepSeek V3.2/V4 on CPU and CUDA #24231 #25545
- Added fused hyper-connection ops for DeepSeek V4 to reduce graph splits #25585 #25702
- Added CUDA Virtual Devices support and enabled CUDA graphs on Volta and Turing architectures #25228 #25749
- Added Flash Attention via oneDNN graph API for SYCL on Intel Battlemage #25222
- Optimized CUDA MoE gate/up activation quantization, improving prefill times on RTX 5090 and Blackwell #25441
- Added auto-download of DeepSeek-Flash and Eagle3 speculative decoding sidecars from Hugging Face #25811
- Server now supports CORS configuration options and accepts null sampling parameters to request defaults #25655 #25538
- Added KleidiAI SME2 f32 kernel and improved hardware-specific kernel dispatch #24414 #25478
- Fixed CUDA crash when querying memory on devices with no available memory #25157
- Fixed Tensor Parallel execution for Phi3, Bert, Plamo2/3, and ChatGLM #25536
- Fixed quantization crash on DeepSeek-V4 i32 routing tables #25787

πŸ”— All changes | Latest release


🎨 stable-diffusion.cpp
β”” Release: master-775-b5d8120 β†’ master-782-b290693
β”” 7 commits

- Support for AnimateDiff SD 1.5 motion modules v2 and v3 #1784 with img2video capabilities via the --init-img parameter #1789
- Support for ADetailer #1785
- Support for PiD 1.5 #1790
- Configurable reference image processing for edit models #1780
- Fixed cross attention and output projection token protection for Anima LoRAs #1786

πŸ”— All changes | Latest release


πŸ€— Fresh models trending on HuggingFace:

thinkingmachines/Inkling β™‘1060
OpenMOSS-Team/MOSS-VL-Realtime β™‘76
ai-sage/GigaAM-Multilingual β™‘56
nineninesix/diamond-1.0 β™‘43
ai-sage/GigaChat3.1-Audio-10B-A1.8B β™‘38
rzgar/Bernini-R-S2V β™‘37
acvlab/ABot-World-0-5B-LF β™‘29
fal/ideogram-v4-instant β™‘27
InternScience/Agents-A1-4B β™‘26
sensenova/SenseNova-U1-8B-MoT-Infographic-V3 β™‘26
OpenMOSS-Team/MOSS-VL-Instruct-0708 β™‘23
fal/ideogram-v4-fast β™‘23
t-tech/T-Search β™‘23
GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking β™‘23
mente-ai/uyu-2-28B β™‘20
OpenMOSS-Team/MOSS-VL-Base-0708 β™‘17
yijunwang2/krea2-outpaint β™‘17
yijunwang2/krea2-reid β™‘15
πŸ“° HuggingFace - Introducing Cosmos 3 Edge


https://huggingface.co/blog/nvidia/cosmos3edge
πŸ“° Google AI Blog - Run Ray on TPU, Part 1: The foundations
Ray 2.55 introduces official, first-class support for Google Cloud TPUs, enabling developers to run distributed Python workloads on Google's accelerators using the familiar Ray task-and-actor APIs. To handle the strict networking requirement of keeping multi-host TPU "slices" together over their Inter-Chip Interconnect (ICI), the KubeRay Operator on GKE automatically provisions and labels the underlying hardware layout. Ray Core utilizes these labels via its slice_placement_group() primitive to atomically reserve complete slices, allowing developers to deploy jobs through KubeRay, Ray Train, or Ray Serve simply by declaring a hardware topology (like "4x4") without writing custom placement code.

https://developers.googleblog.com/en/run-ray-on-tpu-part-1-the-foundations/