I lost track of which Claude Code tab needed me, so I built this
Zsh plugin for iTerm2 that monitors Claude Code sessions and highlights tabs needing user attention via color coding.
Zsh plugin for iTerm2 that monitors Claude Code sessions and highlights tabs needing user attention via color coding.
Comparison of AI coding plan pricing and subsidy levels across models, analyzing cost-effectiveness of frontier vs open-weight models for coding tasks.
Analysis of recursive self-improvement in AI systems, examining how machines can improve AI model development with human oversight.
OpenKB is an open-source system using LLMs to compile documents into structured wiki-style knowledge bases with vectorless retrieval for long documents.
Discussion of evaluation metrics for AI agents and LLMs, using cost-benefit analogy to explain why proper evals prevent expensive failures.
Analysis of how AI is disrupting professional services pricing, examining economic impact on legal and consulting firms.
Claude Control is a macOS dashboard for monitoring and managing multiple Claude Code sessions with live status and git tracking.
cuda-oxide is an experimental Rust compiler backend enabling GPU kernel compilation in pure Rust without DSLs or bindings.
Kept is a local-first desktop app that archives AI conversations as Markdown files with search, browsing, and graph visualization. Supports ChatGPT, Claude, Gemini, and other LLMs.
Contral is an AI agent and IDE that teaches developers while they code through real-time explanations and interactive debugging.
Airplane AI is a local-only LLM application powered by Gemma that runs offline on-device without cloud dependencies or accounts.
Pi4Word integrates Pi Agent-powered AI assistant into Microsoft Word as task pane add-in, leveraging @mariozechner/pi-agent-core with tool support and streaming capabilities.
Personal observations from visiting Chinese AI research labs. Anecdotal insights into AI ecosystem and research culture.
Open-source, local-first viewer for LLM-generated diagrams (mindmaps, flowcharts, ER diagrams, etc.). Schema-driven rendering with no cloud dependency or vendor lock-in.
Course on using Claude Code with focus on building TDD pipelines, guardrails, and verification systems for production-grade AI-generated code.
AI coding agent (pi) running in isolated Docker containers with no root access or privilege escalation, designed for safe local execution.
Tool using Cursor AI to clean formatting artifacts from AI-generated text in documents and code.
Analysis of AI adoption in hedge funds and quantitative trading strategies. Tangential to core AI/ML interests.
Python sandbox for running Claude LLM with proxy injection and configuration options for containerized execution.
SubQ: long-context LLM API supporting 12M tokens at linear cost for code agents and repository analysis.
Analysis of ChatGPT bias toward goblin and Japan references, documented across model versions.
User observation of LLM output behavior showing internal reasoning exposed in responses. Informal anecdote without technical depth.
TypeScript superset language designed for code generated by AI/LLMs, with browser-based playground and compiler.
Analysis of annotation disagreement sources in AI safety policies: operational failures, policy ambiguity, and value pluralism.
ZAYA1-8B is a reasoning-focused mixture-of-experts model with 8B total parameters built on AMD compute, matching larger models on mathematics and coding benchmarks.
Partial Evidence Bench introduces a deterministic benchmark for measuring failures in agentic systems operating under access control and authorization constraints.
BALAR proposes a Bayesian agentic loop algorithm for active reasoning in LLMs, enabling principled information gathering and question generation in multi-turn interactions without fine-tuning.
Position paper on sycophancy as boundary failure between social alignment and epistemic integrity in LLMs, broader than surface-level agreement behavior.
Embodied agent framework coupling vision-language and language models via dynamic QA pipeline for multimodal sequential decision making.
Agentic RAG framework for financial QA combining multi-step reasoning over tables, text, and footnotes with dynamic retrieval and decision making.
Open-source on-premises LLM autograder for STEM courses running on commodity hardware, FERPA-compliant alternative to cloud-based grading APIs.
LLM agent framework maintaining constant context size by converting long interaction histories to compressed skill state, balancing privacy and capability.
Causal analysis of regional LLM bias using probabilistic graphical models to audit safety mechanisms beyond observational fairness metrics.
Authorization propagation framework for multi-agent AI systems addressing identity governance and access control across task delegation and data boundaries.
Agentic search system using LLMs to systematically discover exchange-correlation density functionals, automating human-driven DFT design loops.
Position paper defining intentionality as behavioral profile for accountable AI systems with criteria: purpose, foresight, volition, temporal commitment, coherence.
Multi-source neurosymbolic transfer learning framework combining LLMs and reinforcement learning with adaptive knowledge integration mechanisms.
Production-validated grounded QA framework for banking domain optimizing LLM accuracy, citation grounding, and calibrated refusal under regulatory constraints.
Multi-modal LLM agent for fine-grained food recognition and analysis handling intra-class similarity and multiple items per image.
Agentic RAG system for enterprise knowledge base retrieval and analysis that reduces search bottlenecks via LLM-controlled search policies.
Self-play reinforcement learning framework using knowledge graphs for asymmetric rewards to extend RL to scientific literature analysis.
Position paper on AI agent economics arguing agents are production technology, not labor, with implications for wage theory and policy.
Post-training quantization technique for reasoning models with calibrated test-time scaling to maintain inference quality under memory/latency constraints.
LLM reasoning improvement via prompt perturbation to address zero-advantage problem in reinforcement learning with verifiable rewards like GRPO.
Domain adaptation approach for handling label shift and private classes in transfer learning scenarios with non-overlapping class spaces.
Multi-agent framework for quantitative trading coupling factor discovery, regime-adaptive selection, and risk-constrained execution.
Memory architecture for LLM agents handling partial observability via belief distributions instead of deterministic conclusions.
Causal probing framework using activation steering to study internal visual representations in MLLMs.
Web-based writing environment using LLM-constrained personas for argumentative feedback development.
Bidirectional text-graph verification framework for RAG improving factual grounding and multi-hop reasoning in LLMs.