Ada-MK: Adaptive MegaKernel Optimization via DAG-Based Search for LLM Inference
Research on optimizing LLM inference kernels via DAG-based search for better performance.
Research on optimizing LLM inference kernels via DAG-based search for better performance.
Cross-platform offline voice transcription app with voice commands and AI agent support. Built for Windows, Linux, macOS. Free tier with premium subscription.
Analytics tool for tracking AI coding assistant usage from Copilot, Claude, and Codex. Provides insights on coding patterns.
Trading game exploring LLM latent space. Players trade items up from a bottle cap to a house, with LLM generating trade offers.
Open-source MCP toolkit and JSON schemas for validating and auditing strategic intelligence agent outputs. Evidence layer for markdown-first reasoning.
Commentary on impact of AI-generated research papers on scientific publishing.
Research on energy-based vs autoregressive models for constraint satisfaction problems. Introduces Kona 1.0, a commercial energy-based reasoning model.
Exploration of LLM steering techniques using DeepSeek-V4-Flash model and llama.cpp optimization for running capable models locally.
Technical analysis of recent LLM architecture improvements: KV-cache sharing, multi-head compression, and attention optimizations for long-context efficiency.
News brief on GitHub Copilot app competing with Claude Code and Codex for code generation tasks.
Analysis of effective techniques for using LLMs as educational tools, critiquing common approaches and examining learning effectiveness.
Open-source end-to-end pipeline converting iPhone data into spatial training data for embodied AI; includes 10M+ frame dataset.
Discussion of whether LLMs can filter and improve their own outputs; author's experience building a programming language with AI.
ArXiv announces year-long author bans for submitting AI-generated research papers with plagiarism, errors, or inappropriate content.
Keepithub: Brazilian marketplace where AI agents trade skills and features in real-time. Concept description, limited technical detail provided.
TokenBBQ: open-source dashboard tool tracking AI coding token usage across Claude, Gemini, Codex and other LLM providers without installation.
Technical overview of Perplexity's modular Agent Skills architecture for frontier agent products across finance, law, health domains.
Zero: experimental systems programming language designed for AI agents with native tools, effects, memory management, and compiler output.
Research showing single neuron suffices to bypass LLM safety alignment mechanisms.
Video analyzing AlphaGo reconstruction to extract insights on self-play, reinforcement learning, and LLM development.
ios-linuxkit: Linux runtime for iOS enabling shell, compiler, and CLI tooling on iPhone/iPad via ARM64.
Axiomind: Protocol for LLM agents to compile daily notes into structured knowledge systems compatible with Obsidian.
SynapseKit: Production LLM framework built from first principles emphasizing minimal dependencies and async-first architecture.
n8n-MCP: Model Context Protocol server enabling AI assistants to search and construct n8n workflow automation nodes.
Benchmarking tool for local LLM inference and XGBoost training on GPU/CPU with reproducible results and HTML reports.
Interactive 12-chapter textbook teaching language model architecture and training from scratch with 7500+ commented lines covering attention mechanisms.
SaaStr analysis of how AI agents change B2B software economics and seat-based licensing models. Reports running 20+ agents with 3 humans.
Co-Scientist bridges interdisciplinary research at MIT/Boston Children's Hospital, helping teams explore ALS by connecting different biological toolkits.
CortexDB v1 launches memory/experience layer for AI agents with 93.8% benchmark performance and 53 integrations. Five-layer memory model.
Travel narrative demonstrating practical AI agent capabilities: itinerary rewriting, cross-referencing sources autonomously, real-time adaptation.
Opinion piece on how frontier AI systems are disrupting competitive cybersecurity CTF competitions and skill measurement.
Zero programming language designed for human-AI agent collaboration. Systems language with explicit effects, predictable memory, structured compiler output.
EY withdraws published study after discovering AI hallucinations in research methodology or findings.
Hardware inference accelerator for AI models without compiler requirement or weight movement. Built in 3 months.
Nexa-Gauge: Python evaluation framework for LLM/RAG systems with caching, cost estimation, and structured metrics. Self-hosted model support.
Plan-graph based LLM code generation: creates implementation graphs instead of markdown, implements components iteratively. Novel LLM architecture approach.
Jane Street video discussing AI adoption across their software development lifecycle. Practical industry insights.
Headroom: compression tool reducing LLM token usage by 60-95% for agent reads, RAG, logs, and conversation history. Supports MCP protocol.
LiteLLM Agent Platform: Self-hosted infrastructure for running coding agents (Claude Code, Codex) in isolated sandboxes with credential vaults.
Mendral: CI-specialized agent using Claude models optimized for diagnosing CI failures, fixing flaky tests, and catching regressions.
ExploitGym framework for developing AI agents that convert software bugs into exploits. Research on arXiv exploring agent capabilities in security.
Gemini 3.5 model family optimized for agentic workflows and complex long-horizon tasks. 3.5 Flash released with frontier performance for agents and coding.
Orthrus-Qwen3: Dual-architecture framework achieving 7.8× speedup in token generation with diffusion models while maintaining autoregressive output fidelity.
GitHub infrastructure challenges from AI agent activity surge; developer discusses migration to alternative platforms.
Endy: tmux control plane coordinating multiple free-tier coding-agent CLIs (Gemini, OpenCode, CommandCode, Hermes) to hand off tasks.
Custom knowledge-base system bootstrapped via LLM seed prompts, converting markdown directories to searchable HTML interfaces.
Benchmark comparing different LLM models solving number-theory problems with real-time competitive ranking by solution speed.
Wikipedia policy prohibiting LLM-generated article content except for copyedits and translations to maintain content quality standards.
HWE Bench: benchmark evaluating LLM performance designing RISC-V CPUs with formal verification; GPT-4 designs outperform reference implementations.
GitHub Copilot in VS Code: Architecture of the coding harness layer managing context, tools, agent loops, and tool interpretation.