📰 Anthropic - Investigating three real-world incidents in our cybersecurity evaluations
https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals
https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals
Anthropic
Investigating three real-world incidents in our cybersecurity evaluations
In a review of our cybersecurity evaluation transcripts, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems…
📰 OpenAI - Ten advances in mathematics and theoretical computer science
https://openai.com/index/ten-advances-in-mathematics
📰 OpenAI - Building abundant intelligence
https://openai.com/index/building-abundant-intelligence
📰 OpenAI - Advancing the price-performance frontier with GPT-5.6
https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6
📰 OpenAI - How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
https://openai.com/index/how-two-settings-tripled-our-arc-agi-3-scores
📰 OpenAI - Accelerating scientific discovery with ChatGPT for Academic Researchers
https://openai.com/index/chatgpt-for-academic-researchers
📰 OpenAI - How GPT-5.6 fuses frontier intelligence with frontier efficiency
https://openai.com/index/gpt-5-6-frontier-intelligence-efficiency
📰 OpenAI - Scientific computing in the age of agentic AI
https://openai.com/index/scientific-computing-agentic-ai
📰 OpenAI - How AI is expanding what people do at work
https://openai.com/index/how-ai-is-expanding-what-people-do-at-work
https://openai.com/index/ten-advances-in-mathematics
📰 OpenAI - Building abundant intelligence
https://openai.com/index/building-abundant-intelligence
📰 OpenAI - Advancing the price-performance frontier with GPT-5.6
https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6
📰 OpenAI - How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
https://openai.com/index/how-two-settings-tripled-our-arc-agi-3-scores
📰 OpenAI - Accelerating scientific discovery with ChatGPT for Academic Researchers
https://openai.com/index/chatgpt-for-academic-researchers
📰 OpenAI - How GPT-5.6 fuses frontier intelligence with frontier efficiency
https://openai.com/index/gpt-5-6-frontier-intelligence-efficiency
📰 OpenAI - Scientific computing in the age of agentic AI
https://openai.com/index/scientific-computing-agentic-ai
📰 OpenAI - How AI is expanding what people do at work
https://openai.com/index/how-ai-is-expanding-what-people-do-at-work
OpenAI
Ten advances in mathematics and theoretical computer science
OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.
🗓️ Weekly GitHub Activity
🦙 llama.cpp
└ Release: b10107 → b10229
└ 122 commits
- Added DSpark speculative decoding support on top of DFlash (#25173) and DeepSeek V4 MTP integration (#25784).
- Introduced support for Model Context Protocol (MCP) stdio transport in server (#26062).
- Added NextN/MTP speculative decoding support for GLM-5.2 (#25980).
- Added model support for MiniMax-M3 text and vision (#24908, #25113), GLM 5.2 / GLM-5.2-Vision (#25407, #26126), Nanbeige 4.2 (#25994), MiMo-V2.5 audio (#26190), Nemotron 3 Nano Omni (#22520), and Laguna-S-2.1 (#26233).
- CUDA backend added Q2_0 quantization support (#25707) and chunked SSD matmul for Mamba-2 prefill acceleration (#22675).
- SYCL backend added oneMKL GEMM flash attention for XMX acceleration (#25025) and RMS_NORM + MUL fusion (#26015).
- OpenCL backend now caches compiled binaries to disk (#26050).
- Added specialized chat parsers for MiniMax M3 (#26210) and Qwen3 (#26252).
- Fixed SYCL oneDNN flash attention scale memory corruption on long contexts (#25880).
- Fixed Metal memory leak when freeing models without GPU operations (#26082).
🔗 All changes | Latest release
🎨 stable-diffusion.cpp
└ Release: master-795-87a0177 → master-810-db99efd
└ 15 commits
- Added IP-Adapter Plus support with Resampler image projection (#1839)
- Exposed IP-Adapter parameters in server request schema and capabilities (#1824)
- Added support for Kroma-v0.1 LoRA models (#1842)
- Added linear multi-step sampling method (#1843)
- Allowed customizable alpha and beta parameters for the beta scheduler (#1834)
🔗 All changes | Latest release
🎵 audio.cpp
└ Release: release-0.4.2 → release-0.5
└ 74 commits
- Release 0.5 introducing new audio framework modules and model migrations (3178daf)
- Added AMD ROCm/HIP backend support for AMD GPU acceleration on Linux and Windows (#48, #153)
- Added live PCM audio streaming via CLI stdin and a live HTTP transcription endpoint (#118, #144)
- Added NVIDIA Parakeet-TDT 0.6B v3 ASR model (#111)
- Added Kroko Zipformer2 RNN-T ASR model with offline and stateful streaming support (#122)
- Added Fun-ASR-Nano offline ASR model (#155)
- Added Inflect Micro and Nano v2 TTS models (#125)
- Added BS-RoFormer source separation model (#114)
- Added Confucius4-TTS, DramaBox, and RVC models (#129)
- Added Qwen3 ASR streaming path (7ce769e)
- Accelerated Metal 1D transpose convolution execution for faster audio VAE decoding (#149)
🔗 All changes | Latest release
🦙 llama.cpp
└ Release: b10107 → b10229
└ 122 commits
- Added DSpark speculative decoding support on top of DFlash (#25173) and DeepSeek V4 MTP integration (#25784).
- Introduced support for Model Context Protocol (MCP) stdio transport in server (#26062).
- Added NextN/MTP speculative decoding support for GLM-5.2 (#25980).
- Added model support for MiniMax-M3 text and vision (#24908, #25113), GLM 5.2 / GLM-5.2-Vision (#25407, #26126), Nanbeige 4.2 (#25994), MiMo-V2.5 audio (#26190), Nemotron 3 Nano Omni (#22520), and Laguna-S-2.1 (#26233).
- CUDA backend added Q2_0 quantization support (#25707) and chunked SSD matmul for Mamba-2 prefill acceleration (#22675).
- SYCL backend added oneMKL GEMM flash attention for XMX acceleration (#25025) and RMS_NORM + MUL fusion (#26015).
- OpenCL backend now caches compiled binaries to disk (#26050).
- Added specialized chat parsers for MiniMax M3 (#26210) and Qwen3 (#26252).
- Fixed SYCL oneDNN flash attention scale memory corruption on long contexts (#25880).
- Fixed Metal memory leak when freeing models without GPU operations (#26082).
🔗 All changes | Latest release
🎨 stable-diffusion.cpp
└ Release: master-795-87a0177 → master-810-db99efd
└ 15 commits
- Added IP-Adapter Plus support with Resampler image projection (#1839)
- Exposed IP-Adapter parameters in server request schema and capabilities (#1824)
- Added support for Kroma-v0.1 LoRA models (#1842)
- Added linear multi-step sampling method (#1843)
- Allowed customizable alpha and beta parameters for the beta scheduler (#1834)
🔗 All changes | Latest release
🎵 audio.cpp
└ Release: release-0.4.2 → release-0.5
└ 74 commits
- Release 0.5 introducing new audio framework modules and model migrations (3178daf)
- Added AMD ROCm/HIP backend support for AMD GPU acceleration on Linux and Windows (#48, #153)
- Added live PCM audio streaming via CLI stdin and a live HTTP transcription endpoint (#118, #144)
- Added NVIDIA Parakeet-TDT 0.6B v3 ASR model (#111)
- Added Kroko Zipformer2 RNN-T ASR model with offline and stateful streaming support (#122)
- Added Fun-ASR-Nano offline ASR model (#155)
- Added Inflect Micro and Nano v2 TTS models (#125)
- Added BS-RoFormer source separation model (#114)
- Added Confucius4-TTS, DramaBox, and RVC models (#129)
- Added Qwen3 ASR streaming path (7ce769e)
- Accelerated Metal 1D transpose convolution execution for faster audio VAE decoding (#149)
🔗 All changes | Latest release
GitHub
spec: add DSpark speculative decoding by wjinxu · Pull Request #25173 · ggml-org/llama.cpp
This PR adds DSpark speculative decoding, layered on the merged DFlash drafter. DSpark (DeepSeek + PKU, 2026 — "Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generatio...
🤗 Fresh models trending on HuggingFace:
♡223 thinkingmachines/Inkling-Small
♡177 Audio8/Audio8-TTS-Preview-0.6b
♡121 lodestones/Kroma
♡118 EschaLabs/Qwen3.6-35B-A3B-Escha-W2
♡76 skt/A.X-K2
♡68 inference-optimization/Kimi-K3-0.40B
♡63 FermionResearch/Neutrino-8B
♡62 KRAFTON/A.X-K2-Raon-Speech-21B-A3B —
♡37 feyninc/FeyNobg
♡36 sensenova/SenseNova-U1.5-8B-MoT-Preview
♡36 harrrshall/BarunLM-35M
♡36 Alissonerdx/CharacterSheet
♡33 BAAI/AREX-Turbo
♡32 lvladikov/SeedVR2-1.4B
♡23 bench-labs/PixelModel-v5
♡21 OpenMOSS-Team/OmniVAE
♡21 OrionLLM/GRM-3.2-Sky
♡18 ProCreations/grug-3b
♡18 openpangu/openPangu-2.0-Pro
♡18 Baragi-AI/Munche-768
♡16 Aratako/Irodori-TTS-v4-Small
♡223 thinkingmachines/Inkling-Small
A 276B parameter MoE multimodal LLM designed for conversational, coding, and agentic tasks across text, image, and audio inputs.
♡177 Audio8/Audio8-TTS-Preview-0.6b
A 0.6B parameter multilingual TTS model optimized for zero-shot voice cloning and speech generation across 11 languages.
♡121 lodestones/Kroma
A rank 256 style LoRA adapter and weight delta model for Krea 2
♡118 EschaLabs/Qwen3.6-35B-A3B-Escha-W2
2-bit quantized build of Qwen3.6-35B-A3B that outperforms FP8 quant
♡76 skt/A.X-K2
A 688B parameter MoE multilingual LLM featuring hybrid think/non-think reasoning for agentic tasks and long-context inference.
♡68 inference-optimization/Kimi-K3-0.40B
A 0.40B parameter MoE LLM built as a tiny testing and development version of the Kimi-K3 architecture.
♡63 FermionResearch/Neutrino-8B
An 8B parameter ternary quantized chat LLM featuring sub-2-bit weights for highly efficient CPU and GPU inference.
♡62 KRAFTON/A.X-K2-Raon-Speech-21B-A3B —
A 21.2B parameter bilingual English/Korean speech LLM designed for STT, TTS, and multimodal turn-based chat
♡37 feyninc/FeyNobg
An image segmentation model designed for high-resolution background removal and alpha matting
♡36 sensenova/SenseNova-U1.5-8B-MoT-Preview
An 8B parameter multimodal image model designed for native 4K T2I generation and region-controllable image editing.
♡36 harrrshall/BarunLM-35M
A 35M parameter decoder-only base LLM designed for efficient local text generation and compact language model research.
♡36 Alissonerdx/CharacterSheet
A collection of image-editing LoRAs that converts character images into multi-view reference sheets for character design.
♡33 BAAI/AREX-Turbo
Finetune of Qwen-4B for for long-horizon agentic tasks and verification-guided research
♡32 lvladikov/SeedVR2-1.4B
A 1.44B parameter distilled one-step diffusion image upscaler designed for fast and resource-efficient super-resolution.
♡23 bench-labs/PixelModel-v5
A 40M parameter T2I diffusion transformer trained on 3 million captioned pairs for generating 256x256 images
♡21 OpenMOSS-Team/OmniVAE
An audio-video VAE and text-to-audio-video generation model designed for cross-modal aligned joint generation.
♡21 OrionLLM/GRM-3.2-Sky
A multimodal LLM optimized for long-horizon agentic workflows, coding, and mathematical reasoning
♡18 ProCreations/grug-3b
A 3B parameter reasoning LLM featuring caveman-style token-efficient reasoning.
♡18 openpangu/openPangu-2.0-Pro
A 505B-A18B parameter MoE LLM from Huawei supporting 512k context, trained on Huawei Ascend.
♡18 Baragi-AI/Munche-768
A 768-dimensional Korean fiction style embedding model based on Gemma 300M, designed for style similarity and authorship analysis.
♡16 Aratako/Irodori-TTS-v4-Small
A Japanese Flow Diffusion Text-to-Speech model with zero-shot style-controlled voice cloning and text-based voice design.
huggingface.co
thinkingmachines/Inkling-Small · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
🆕 [HF Models] internlm - Intern-S2-Preview-397B
https://huggingface.co/internlm/Intern-S2-Preview-397B
🔓 [HF Models] internlm - JanusCoder-14B
https://huggingface.co/internlm/JanusCoder-14B
https://huggingface.co/internlm/Intern-S2-Preview-397B
🔓 [HF Models] internlm - JanusCoder-14B
https://huggingface.co/internlm/JanusCoder-14B
huggingface.co
internlm/Intern-S2-Preview-397B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
🔓 [HF Models] swiss-ai - wavtokenizer-large-unify-40token
https://huggingface.co/swiss-ai/wavtokenizer-large-unify-40token
https://huggingface.co/swiss-ai/wavtokenizer-large-unify-40token
huggingface.co
swiss-ai/wavtokenizer-large-unify-40token · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 NVIDIA - NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data…
https://developer.nvidia.com/blog/nvidia-vera-storage-benchmarks-faster-encryption-compression-integrity-checking-and-recovery-for-ai-native-storage/
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data…
https://developer.nvidia.com/blog/nvidia-vera-storage-benchmarks-faster-encryption-compression-integrity-checking-and-recovery-for-ai-native-storage/
NVIDIA Technical Blog
NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data, execute tools, and generate new results…
📰 HuggingFace - Deploy local agents everywhere with LFM2.5-2.6B
https://huggingface.co/blog/LiquidAI/lfm2-5-2-6b
https://huggingface.co/blog/LiquidAI/lfm2-5-2-6b
huggingface.co
Deploy local agents everywhere with LFM2.5-2.6B
A Blog post by Liquid AI on Hugging Face
🆕 [HF Models] LiquidAI - LFM2.5-2.6B-GGUF
https://huggingface.co/LiquidAI/LFM2.5-2.6B-GGUF
🆕 [HF Models] LiquidAI - LFM2.5-2.6B-Base
https://huggingface.co/LiquidAI/LFM2.5-2.6B-Base
🆕 [HF Models] LiquidAI - LFM2.5-2.6B
https://huggingface.co/LiquidAI/LFM2.5-2.6B
https://huggingface.co/LiquidAI/LFM2.5-2.6B-GGUF
🆕 [HF Models] LiquidAI - LFM2.5-2.6B-Base
https://huggingface.co/LiquidAI/LFM2.5-2.6B-Base
🆕 [HF Models] LiquidAI - LFM2.5-2.6B
https://huggingface.co/LiquidAI/LFM2.5-2.6B
huggingface.co
LiquidAI/LFM2.5-2.6B-Base · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 Mistral - Introducing Shieldstral.
Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size.
https://mistral.ai/news/shieldstral/
Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size.
https://mistral.ai/news/shieldstral/
Mistral AI
Introducing Shieldstral. | Mistral AI
Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size.
📰 Google DeepMind - The latest AI news we announced in July 2026
https://blog.google/innovation-and-ai/technology/ai/google-ai-updates-july-2026/
https://blog.google/innovation-and-ai/technology/ai/google-ai-updates-july-2026/
Google
The latest AI news we announced in July 2026
Here are Google’s latest AI updates from July 2026
📰 Google AI Blog - A unified API for AI model routing
Google Cloud API Gateway now offers a model routing feature in Public Preview, allowing developers to dynamically route traffic to models like Gemini, Claude, or OpenAI OSS-GPT without hardcoding endpoints or managing open-source proxies. Developers can easily configure these routing rules directly within their OpenAPI 3.x specifications by mapping virtual model names to specific backend targets on a shared host. Once deployed, the Gateway acts as a serverless ingress layer that accepts standard OpenAI-compatible requests, automatically transcodes the payload to the native schema of the target model, and routes the traffic on the fly.
https://developers.googleblog.com/en/a-unified-api-for-ai-model-routing/
Google Cloud API Gateway now offers a model routing feature in Public Preview, allowing developers to dynamically route traffic to models like Gemini, Claude, or OpenAI OSS-GPT without hardcoding endpoints or managing open-source proxies. Developers can easily configure these routing rules directly within their OpenAPI 3.x specifications by mapping virtual model names to specific backend targets on a shared host. Once deployed, the Gateway acts as a serverless ingress layer that accepts standard OpenAI-compatible requests, automatically transcodes the payload to the native schema of the target model, and routes the traffic on the fly.
https://developers.googleblog.com/en/a-unified-api-for-ai-model-routing/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Discover how developers can configure Google Cloud API Gateway to dynamically route OpenAI-compatible requests without managing open-source proxies.
📰 LMSys - SpecForge v0.3.0: a Unified Disaggregated and Colocated Speculative Decoding Stack, and New Open SpecBundle Draft Models
https://lmsys.org/blog/2026-08-04-specforge-v0-3
https://lmsys.org/blog/2026-08-04-specforge-v0-3
www.lmsys.org
SpecForge v0.3.0: a Unified Disaggregated and Colocated Speculative Decoding Stack, and New Open SpecBundle Draft Models
When we first released SpecForge, a training job owned both the frozen target model and the draft model being optimized. This made EAGLE3 draft-model training practical and directly compatible with SG...
📰 Anthropic - Mariano-Florentino (Tino) Cuéllar to join Anthropic as Chief Global Affairs Officer
https://www.anthropic.com/news/tino-cuellar
https://www.anthropic.com/news/tino-cuellar
Anthropic
Mariano-Florentino (Tino) Cuéllar to join Anthropic as Chief Global Affairs Officer
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.