Claude Code Opus 5 in Auto Mode shows a 60-80% success rate for prompt injection attacks. This vulnerability contradicts current safety claims regarding autonomous agent modes.

Anthropic has launched Claude Fable 5.1 and Claude Mythos 5.1, targeting specialized performance in coding and knowledge work tasks.

OpenAI is granting select partners early access to Astra, its first model designed with advanced cybersecurity capabilities. The rollout aims to allow organizations to test and strengthen defenses against AI-driven cyber threats.

Verification-Aware Training (VAT) is a plugin framework that optimizes speculative decoding by incorporating the sequential rejection patterns of the target model into the draft model's training. It uses a lightweight binary classifier to supervise the draft model on which token positions are likely to survive verification.

The @huggingface/kernels package introduces over 200 WebGPU kernels designed to enable high-performance local AI execution in the browser. This allows for complex model operations to run directly on client-side hardware.

The llama.cpp repository has merged support for the gemma4-assistant model. This integration into a major inference runtime provides a high-signal confirmation of the model's availability and usability.

Atlas is a spatial intelligence world model pretrained on text, images, video, and 3D data using a shared spatial context. The architecture enables camera-controlled video generation up to 1440p at one minute in length and maintains 3D consistency across reconstruction and simulation tasks.

The RNop Transformer uses mechanism-aligned losses to optimize mRNA sequences without sacrificing fidelity or throughput. Trained on 6 million sequences, it maintains absolute sequence fidelity while improving multiple biological objectives.

Defining a formal UI kit in a Markdown file allows Claude to generate high-quality, consistent interface designs without manual tweaking. This method leverages the LLM's ability to follow structured guidelines to avoid common AI-generated design patterns.

Memoryfields provides a structured data format for AI agents to manage long-term memory using Markdown pages combined with semantic search. This enables efficient information retrieval through standard text structures.

OpenAI is launching an EHR integration for supported Epic environments alongside a plugin that connects ChatGPT to nine additional industry-specific data sources. This allows healthcare teams to access clinical workflows and information directly through the ChatGPT interface.

DLSS 5 arrives September 3rd, requiring RTX 50-series desktop and laptop GPUs. The technology functions as a real-time generative AI filter for video upscaling and motion smoothing in gaming.

This study explores scaling Large Reasoning Models (LRMs) beyond human supervision by transitioning from human judgments to reusable verifiers. It examines how models can improve as they move from supervised learning to autonomous experience generation through RLVR.

AI-native companies are deploying agents to automate onboarding, account management, and developer integration tasks. These implementations shift AI from simple chat interfaces to integrated operating capabilities within enterprise workflows.

A new pull request in vLLM implements support for per-expert quantized weight loading for the GraniteMoeHybrid model. This enables more efficient inference for MoE architectures in the vLLM runtime.

A small transformer trained from scratch in 1.5 hours on a single 5090 reaches 44% on ARC-AGI-1 and 7% on ARC-2. The approach uses test-time training to match performance of TRM/HRM models while focusing on extreme sample efficiency within the 1,000-puzzle ARC dataset.

ScalePRM trains process reward models by aggregating multiple independent verifications of reasoning steps to generate synthetic labels without ground truth. Using self-consistency and meta-critique scaling, the method achieves 67.5 F1 on ProcessBench, outperforming reference-guided training that utilizes ground-truth answers.

New Spark-X2.5 models (1.7B and 4B) feature custom architectures and claim native 1M context window support. The 4B variant performs comparably to Qwen 3.5 9B in benchmarks.

DevSpace provides a self-hosted server that enables ChatGPT to safely interact with local file systems. It allows for secure repository inspection and command execution within a controlled environment.

Gemini models now feature agentic video understanding capabilities designed to increase analysis accuracy. This update reduces token usage by up to 88% during video processing tasks.

AIR has secured $50M to launch a platform that discovers and vets the skills and third-party add-ons used by enterprise AI agents. The system is designed to block unauthorized behavior and ensure agent compliance.

SpanCalib-VLM combines a multimodal sequence tagger using XLM-RoBERTa-Large and SigLIP with a fine-tuned Qwen3.5-4B model to detect hallucinated spans. A Union-Calibrated Fusion strategy re-scores generative candidates with calibrated probabilities to balance recall and inference latency.

Deep learning models are being applied to satellite data to map global methane emissions. This method enables more precise tracking of climate-critical gases from orbit.

A new pull request in llama.cpp improves model loading efficiency by utilizing n_layer_all arrays. This change optimizes how relevant data arrays are loaded during the inference setup process.

Slotstream uses expert-offloading and SSD-streaming via MLX and Swift to run 104GB 4-bit quantized models on machines with significantly less RAM. The tool achieves approximately 12 tokens per second on a 48GB Mac by offloading parameters to disk.