Less Noise, Same Certificate: Retain Sensitivity for Unlearning
Certified machine unlearning with reduced noise requirements using sensitivity-aware DP techniques.
Certified machine unlearning with reduced noise requirements using sensitivity-aware DP techniques.
Analysis of contrastive steering robustness in LLMs, addressing data corruption and adversarial noise in inference-time steering.
Categorical deep learning framework using coalgebras for equivariant representations and universal approximation theory.
Parametric benchmark generator for electric vehicle routing problems with learning-based optimization evaluation.
Research on geometric regularization strategies for neural ODE-based autoencoders in reduced-order modeling of PDEs.
Novel speculative decoding technique to parallelize token verification in LLM inference, improving autoregressive decoding speed.
Discussion on orchestration and state management challenges for running multiple local AI agents on coding tasks.
Python CLI tool providing cross-repo portfolio health dashboard for managing multiple codebases with dependency and test analysis.
Multi-agent system for psychological analysis using Claude with specialized sub-agents and adversarial consensus evaluator.
Opinion arguing that giving LLMs human-like personalities is good engineering practice despite skepticism.
Research paper showing LLMs can de-anonymize pseudonymous users at scale by correlating social media account behaviors.
AI agent system that automates computer tasks like spreadsheet analysis, web browsing, form filling, and code debugging via natural language instructions.
Vulnerability scanner with native Agent-to-Agent protocol support enabling AI agents built on Google ADK, LangChain, CrewAI to discover and interact with scanning capabilities.
CLI tool enabling AI agents to control interactive terminal sessions (SSH, REPLs, TUIs) with in-band file transfer.
Coordination protocol for AI agents to negotiate and execute tasks on behalf of humans (housing, hiring, services).
yoyo is a pure-Rust MCP server providing code intelligence with 17 LLM-ready tools for TypeScript, JavaScript, Rust, and Python projects—local, privacy-first.
OpenCovibe is an open-source desktop app wrapping Claude Code with structured dashboards for tool call tracking, run history, and session management.
Research project training neural networks directly on Apple Neural Engine using reverse-engineered private APIs, bypassing standard CoreML/Metal APIs.
Essay on leadership approaches for managing human-machine teams in the era of agentic workflows, extending earlier concepts about team building.
Tool extracting conversation exports from multiple AI services to generate structured cognitive fingerprint profiles with Bayesian updating.
Marketplace demonstrating AI agents autonomously transacting with each other using USDC cryptocurrency.
Hardware analysis of Intel Nova Lake-Ax APU rumors as competitor to AMD Strix Halo for local LLM inference.
AgentBus provides centralized REST API for direct agent-to-agent messaging without requiring servers or message queues.
QuarterBit enables training 70B LLMs on single GPU with 91% energy reduction and 90% cost cuts using AXIOM technique.
AI agent autonomously trading Polymarket prediction markets by hiring inference via Lightning Network with 30 sat payments.
Dataset of 2,218 Gary Marcus AI claims scored against evidence from May 2022 to March 2026.
Augur text-based RPG where boss learns across encounters using LLM. Demonstrates adaptive LLM behavior in interactive game environment.
CLI tool for progressive exploration of OpenAPI specifications layer-by-layer, outputting plain text or JSON, useful for LLMs and developers.
OpenClawHub library providing 20+ production-ready AI agent workflow templates with YAML configs. Addresses prompt drift and agent maintenance challenges.
Analysis of copyright and DCO implications for AI-generated code in open source ecosystems trained on licensed works.
Rust-based spreadsheet engine with 320+ functions, Python/WASM bindings for server-side formula evaluation in workbooks.
Claude Code-assisted tool evaluating Hacker News content against human rights criteria. Built in 8 days using AI pair programming for accessibility.
Protocol for decentralized markdown-based memory system using QUIC transport for durable knowledge storage in AI agents and humans.
Essay on agentic coding and implications for developer profession. Author shares year-long experience building with coding agents and adoption practices.
Intent-Based Access Control framework for AI agent permissions. Derives per-request permissions from user intent before tool calls, mitigating prompt injection attacks.
Free SEC-based API providing fundamental financials, insider transactions, and 13F filing data with clean sourcing.
Remote Bazel improves AI coding agent validation bottleneck by executing builds/tests on powerful distributed runners with shared cache infrastructure.
Analysis of agentic software development lifecycle optimization focusing on review, testing, and monitoring bottlenecks in parallel feature shipping.
AI web scraper platform using natural language descriptions instead of CSS selectors. Adapts to website redesigns without selector maintenance.
Personal reflection on loss of learning motivation due to AI code generation. Discusses abstractions removing focus on programming fundamentals.
Plugin implementing distillation-based memory for coding agents using operational intelligence preservation instead of narrative summarization.
Optimization techniques achieving 19,000× faster transformer training on CPU through cache and memory bus efficiency improvements.
Pane MCP server grants AI models context on user financial data. Integrates with Claude, Cursor, ChatGPT for queries on spending, net worth, subscriptions, investments.
Metaphorical essay comparing AI's role in thinking to reaching physical limits. Emphasizes AI removing self-imposed limitations on problem-solving.
Brief mention of first AI agent running on smartwatch.
Open-source Python AI agent framework that runs in messaging apps, 7,800 lines of readable code, executes tasks via LLM integration.
ARK Invest's 2026 research report examining AI cost-curve assumptions and technology investment cycles.
Analysis of why enterprise AI adoption is declining despite infrastructure investment, arguing specialized systems may outperform general-purpose models.
Open-source persistent memory system for AI agents using markdown files, wiki-links, and git version control instead of databases.
Open-source ML framework optimized for production interpretability and constraints over accuracy, with sklearn-compatible API for finance and healthcare.