InferScale is a GPU-native LLM memory system.
InferScale replaces repeated prompt prefilling with reusable KV state, reducing time-to-first-token. It precomputes each memory fact's KV representation and stores it alongside a semantic embedding on the GPU.
OmegaUse-OfficeVal benchmarks LLM agents on office-suite tasks.
The benchmark provides economic grounding, enabling direct comparisons between human costs and LLM inference costs. It supports stable evaluation with code-based tasks.
AgentMap is an LLM-based ontology matching framework.
AgentMap integrates semantic retrieval, hierarchical search, and collaborative multi-agent LLM reasoning to identify equivalent concepts or subsumers. It extends four OM datasets for a HOM benchmark.
Codeforces Round starts on August 6
The contest will last for 2 hours and will start on August 6 at 14:35 UTC.
Two API settings tripled scores on the ARC-AGI-3 benchmark.
The settings improved GPT-5.6 performance by retaining reasoning and enabling compaction, boosting scores and efficiency.
InferScale is a GPU-native LLM memory system.
InferScale replaces repeated prompt prefilling with reusable KV state, reducing time-to-first-token. It precomputes each memory fact's KV representation and stores it alongside a semantic embedding on the GPU.
OmegaUse-OfficeVal benchmarks LLM agents on office-suite tasks.
The benchmark provides economic grounding, enabling direct comparisons between human costs and LLM inference costs. It supports stable evaluation with code-based tasks.
AgentMap is an LLM-based ontology matching framework.
AgentMap integrates semantic retrieval, hierarchical search, and collaborative multi-agent LLM reasoning to identify equivalent concepts or subsumers. It extends four OM datasets for a HOM benchmark.
Two API settings tripled scores on the ARC-AGI-3 benchmark.
The settings improved GPT-5.6 performance by retaining reasoning and enabling compaction, boosting scores and efficiency.
GPT-5.6 improves AI efficiency.
GPT-5.6 delivers more useful intelligence per dollar by improving efficiency across models, inference, and agentic workflows.
LLM Honeypot
No additional information available.
100,000 researchers get free ChatGPT access.
OpenAI aims to accelerate scientific research, collaboration, and discovery with free access to ChatGPT's advanced AI models.
Model moonshotai/Kimi-K3 released.
The model is an image-text-to-text model with 8726 likes.
Model unsloth/Kimi-K3 released.
The model is an image-text-to-text model with 170 likes.
ESP32 gets a web browser.
The web browser is part of the Cheap Black Display project, showcased at the Hackaday Europe conference.
Keychron announces open-source firmware for gaming mice.
No additional information available.
Fedora approves smaller GRUB for niche use case
The new package will be in addition to the main GRUB package and will not replace it for most users. The idea was initially met with resistance from some Fedora contributors.
Security updates issued by multiple Linux distributions
The updates were issued by AlmaLinux, Debian, Fedora, Mageia, Slackware, SUSE, and Ubuntu. The updates address various security vulnerabilities in different packages.
BPF type format to include inlined functions
The addition of inlined functions to BTF will allow for better tracing and debugging of kernel functions. This is particularly useful for BPF programs.
GCC steering committee announces AI policy
The policy states that the project will decline any legally significant contributions that include LLM-generated content. However, LLMs can be used for research and analysis.
Codeforces Round starts on August 6
The contest will last for 2 hours and will start on August 6 at 14:35 UTC.
Hybrid workflow composition for extreme-scale data processing
The paper presents a novel simulation framework for characterizing the interplay between taskset granularity and system-level constraints. Hybrid composition strategies can yield significant throughput increases.
Deductive verification for earliest deadline first scheduler
The paper proposes a framework for deductive verification of EDF scheduler implementations. The framework utilizes deductive verification to ensure the correctness of the scheduler.
Unified shared memory in OpenMP
The paper discusses the implementation and adoption of unified shared memory in OpenMP. The feature simplifies the adoption of the OpenMP programming model.
DualDecoder for long context LLM inference
The paper presents a lightweight serving system for long-context LLM inference. The system enables efficient sparse KV cache retrieval from host memory.
ServerlessT2I for efficient text-to-image workflow serving
The paper presents a serverless-native system for text-to-image workflow serving. The system decomposes the workflow into loosely coupled model functions for efficient management and scheduling.
Graph-native bitemporal memory store for conversational AI
The paper describes a memory store that avoids exhausting the model's context budget or sending personal data through infrastructure the user does not control. The store uses a Neo4j property graph with HNSW vector indexes.
ESP32-Bit-Pirate hardware hacking tool
The tool is a hardware hacking tool with a web-based CLI that speaks every protocol. It is designed for use with the ESP32 microcontroller.
Burn is a tensor library and Deep Learning Framework.
It aims to provide flexibility, efficiency, and portability. Burn is written in Rust, which contributes to its performance and reliability.
Obra is an agentic skills framework.
It provides a software development methodology that focuses on agent-based approaches. This framework can be applied to various domains and industries.
Codex-Manager is a CLI account manager.
It provides a local gateway for Codex CLI, enabling users to manage and switch accounts easily. This tool is written in Rust.
SGLang is a serving framework for language models.
It supports large language models and multimodal models, focusing on high-performance serving. SGLang is written in Python.
Microsandbox is a local-first microVM runtime.
It provides an easy and fast way to run microVMs locally. Microsandbox is written in Rust, which ensures its performance and security.