Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
DiDi-Instruct trains fast few-step language generation via distillation from discrete diffusion LLMs while maintaining quality.
DiDi-Instruct trains fast few-step language generation via distillation from discrete diffusion LLMs while maintaining quality.
CodeEvolve open-source framework combines LLMs with evolutionary algorithms to synthesize optimized algorithmic solutions guided by execution feedback.
Jr. AI Scientist is an autonomous research system that mimics novice researcher workflows, conducting autonomous exploration and including risk analysis.
Novel text-only adaptation method for LLM-based ASR systems using text denoising to preserve speech-text alignment without fine-tuning disruption.
Multi-agent reinforcement learning system for width-scaled information seeking, exploring complementary depth scaling in LLM deployment.
LatentChem: Latent reasoning interface for chemical LLMs, decoupling chemical reasoning from text tokens for improved efficiency.
Study of phonological vector arithmetic in self-supervised speech models across 96 languages, analyzing representation structure.
Evaluation of small language models for role classification in human-robot interaction with zero-shot and one-shot adaptation.
Retrieval system learning node-specific Riemannian metrics on citation graphs for geometry-aware semantic search.
Systematic evaluation of LLM-based AI agents in Byzantine consensus games, testing agreement behavior in adversarial settings.
Study of reasoning techniques in LLMs for political opinion modeling and alignment with individual preferences.
Analysis of chain-of-thought reasoning in LLMs, comparing activation probing and early stopping across DeepSeek-R1 and GPT-OSS models.
Caching optimization for concept learning in description logic knowledge bases using supervised learning.
Differentiable equilibrium blocks for multi-agent incentive design in game theory and economics applications.
Mixture-of-Experts architectures for machine learning interatomic potentials with analysis of routing strategies and sparse activation.
Research into theoretical mechanisms of LLM phenomena: semantic prompt comprehension, in-context learning, and chain-of-thought reasoning.
Dataset creation using Wikidata to detect sociocultural biases in LLMs, focusing on Latin American languages and cultures.
AI models trained on Western data fail to recognize local crops and forests; scientist adapted approach using local data collection for African agriculture mapping.
Cyris is orchestration platform for coordinating AI agents across OpenAI, Anthropic, Ollama and enterprise systems with self-hosted auditable governance.
Cursor-compatible agent skills for coding and system design interview prep with drill workflows, prompt generation, and interactive practice modules.
Guide for managers in 2026 on leading teams using AI; emphasizes managers must understand AI tools to set expectations and guide team execution.
AI code generation has evolved from prompt-and-pray to engineering discipline with verification harnesses, test suites, and autonomous agent execution for hours.
Auto-Browser: Open-source MCP-native browser agent with human-in-the-loop control. Provides authorized workflow automation with Claude and other LLM integrations.
Tarvos: Relay architecture for AI coding agents that runs sequential fresh agents instead of single degrading agent. Each agent picks up from previous context handoff.
Discussion on limitations of ReAct and RLM-based coding agents and approaches to improve multi-agent reasoning.
Local Memory MCP v1: Self-hosted local-first RAG memory system for AI assistants using ChromaDB. Exposes MCP tools for context recovery across LLM sessions.
Proof SDK: Open-source editor, collaboration server, provenance model, and MCP agent HTTP bridge for collaborative documents with agent integration.
Production debugging tools for multi-agent AI workflows including monitoring, circuit breakers, containment, and replay capabilities.
Agent Execution Framework (AEF): State machine operating system for AI agents. Defines states, events, actions, and transitions to govern agent behavior and execution flow.
Newsletter signup page discussing enterprise agentic AI systems. Mostly promotional content, limited technical detail.
Opinion piece exploring developer personalities and attitudes toward AI-assisted coding workflows.
Open source terminal dashboard tool that aggregates and tracks token usage/costs across multiple AI coding tools (Claude, Cursor, custom APIs).
Headline-only reference to article comparing LLM training to lossy compression. No content provided.
Open source Chrome extension for recording network requests and UI selectors, exports HAR and workflow JSON for web automation.
Qodo claims superior code review performance versus Claude in benchmark test.
Open source tool for fine-tuning transformer models on-device using Apple Neural Engine. Data stays local, includes CLI for training.
TypeWhisper: open-source speech-to-text app for macOS/Windows with multiple local engines (WhisperKit, Parakeet, Apple SpeechAnalyzer), no cloud or telemetry.
Anna's Archive publishes llms.txt file to provide machine-readable information to LLM crawlers.
Framework for mapping AI agents to IAM roles, tools, and network exposure at infrastructure level. Agent observability and security.
Crowdsourced AI detection benchmark with 16K human/AI text pairs from Reddit, HN, Yelp. Dataset for AI writing detection research.
Quality-gated orchestration for GitHub Copilot CLI with verification before code merges. AI agent testing and safety framework.
Guide to building Claude Code agent with skills. LLM application example with minimal content provided.
Push-to-talk dictation tool for Android using local/cloud transcription. Addresses voice input workflow, limited ML relevance.
pycoClaw: IDE and framework for running OpenClaw autonomous agents on ESP32 microcontrollers using LLMs for self-programming MicroPython scripts.
Tutorial on running local open LLMs with Claude Code using Unsloth, Qwen3.5, and other models. Practical guide for local agent setup.
Brex tests fraud detection using AI agents to commit intentional violations. Agent testing methodology for compliance systems.
Concrete example of AI-generated code causing Slack API rate limit failure. Case study of LLM code generation pitfalls.
Codelegate: keyboard-driven GUI orchestrator for coding agents on Mac/Linux. Built with Tauri, React, xterm.js for agent workflow management.
Firstrun tool converts static documentation into interactive walkthroughs. Developer tool for improving documentation engagement.
ATLAS framework for autonomous trading agents that self-improve by rewriting prompts based on market performance feedback using Karpathy-style autoresearch.