OpenAI's autonomous vulnerability discovery prototype identified 948 valid local privilege escalation exploits in the Linux kernel at a cost of $1.2 million in API credits.
The firm added agents and a semantic layer to its AI workflows to surface diverse research views and risks for portfolio managers.
The model supports 3-15 second clips with native audio, up to 30 seconds total via extension, and 4K resolution.
The disparity in generation cost between later and earlier tokens on frontier open-weight models can reach 7x.
The repository includes a minimal implementation of AlphaEvolve, data for a new upper bound on the matrix multiplication exponent, and verification code for 15 mathematical problems.
The 16 million-line library is the largest integrated formalized mathematics collection, enabling direct import of algebraic geometry definitions and theorems.
The beta feature connects to bank accounts via Plaid to answer money questions in plain language without moving funds.
New features allow security teams to review configurations against Anthropic's recommendations and run EDR sensors inside the Cowork virtual machine.
The technique trains small neural networks offline to route and rewrite queries, achieving up to 8x faster search and higher recall than centroid-based indexing on the Natural Questions dataset.
The update enables developers to build and deploy agents, workflows, and apps across cloud, VPC, or on-premises environments using the Mistral Large 4 model.
Analysis of 207,049 sessions reveals that scientists use Claude most for tasks where AI performs well, such as data analysis and writing, while underutilizing it for physical data collection and ideation.
Gradium's Phonon TTS, available in 31m and 40m sizes, tops the Hugging Face Open TTS Leaderboard's CPU streaming benchmark for time-to-first audio.
The model features a Sparse MoE architecture with 14B active parameters per token and outperforms DeepSeek-V4-Flash-Base on MMLU and coding benchmarks.
Enterprise users can deploy LlamaParse in their own AWS, Azure, Google Cloud, or Kubernetes environments, with flexible options for managing model inference.
The library uses a shadow interpreter to parallelize independent IO-bound calls in sequential code without requiring async syntax, reducing runtime from 148s to 24s in benchmarks.
The protocol uses a Teacher-Orchestrator-Student structure to generate evolving problems, with the Orchestrator increasing problem validity from 4.30 to 4.85 and approval rates from 38.14% to 87.14%.
The system identifies borderline cases to help users refine instructions, reducing effort and stress compared to manual labeling.
The preliminary study used hundreds of GPUs for microscopy and produced a first structural model 34 hours after purification, though the biological function of the particles remains unknown.
The managed service handles data validation, type conversion, and compaction, allowing users to pay only for copied data without provisioning infrastructure.
They unveiled a demo that performs drug design iterations, which typically take days, in about 1 hour.
Kakao has released the 3B-scale multimodal decision-making model Kanana-2-v-decide as open source.
The method identifies that FP4 errors stem from low-entropy tokens and uses trace-aligned training to reach 65.94% AIME-120 accuracy on R1-Qwen-14B.
The open-source engine reduces batch-8 decode latency to 24.2 ms by fusing layers into single NKI kernels to minimize HBM traffic and compiler overhead.
Competing statements in context cause 9-110x higher loss than neutral filler, while length alone explains only 2-8% of variance.
AI Briefing