Deep Adaptive Model-Based Design of Experiments
Deep Adaptive Model-Based Design of Experiments combines deep learning with adaptive sequential design optimization for efficient nonlinear dynamical system parameter estimation.
Deep Adaptive Model-Based Design of Experiments combines deep learning with adaptive sequential design optimization for efficient nonlinear dynamical system parameter estimation.
Study on multi-agent routing architectures identifying how failure propagation differs in tree-like versus cyclic execution graphs for AI reasoning systems.
Research exploring agentic frameworks with domain-specific tools for Verilog code generation, comparing impact versus traditional LLM approaches.
Study analyzing chain-of-thought faithfulness evaluation in LLMs across 12 models, showing measurement methodology significantly affects reported faithfulness percentages.
Research demonstrating mathematical isomorphism between ant colony decision-making and random forest ensemble learning under stochastic ensemble intelligence framework.
TimeTox is an LLM-based pipeline using Google's Gemini to automatically extract time toxicity metrics from clinical trial protocol documents.
GitHub Actions tool for AI agents enabling faster CI feedback loops with mocked runners, caching, and agent-driven test fixes without pushing.
Shopify launches Agentic Storefronts allowing merchants to sell through ChatGPT, Copilot, Google Search, and Gemini via centralized management.
DuckDB community extension implementing prefiltered approximate nearest neighbors (ACORN-1) with WHERE clause support for hybrid search.
GolfStudent v2: 24M parameter LLM compressed to 15MB using GPTQ-lite quantization and Muon optimizer with efficient architecture.
AegisFlow: Open-source AI gateway in Go providing routing, security policies, rate limiting, cost tracking, and observability for LLM providers.
Overview of AI training projects on Alignerr platform including Prism, Code Human, and Rainforest with details on participation.
AI video ad generator transforming product URLs into structured video ads for e-commerce platforms like Shopify and Amazon.
Security incident: LiteLLM PyPI packages 1.82.7-1.82.8 contained credential-stealing backdoor affecting 97M monthly downloads via auto-executing .pth file.
Post-mortem analysis of failed AI podcast app identifying issues with podcast content discovery and user engagement expectations.
Headless virtual terminal tool enabling AI agents to operate interactive TUI applications without GUI, with example of agent playing NetHack.
AI agent consumer application that autonomously dates on user's behalf via chatting with matches. Tool but limited technical depth.
Go sidecar process manager for cleaning up orphaned stateful processes from Puppeteer/LLMs to prevent memory leaks and OOM crashes.
Discussion on Hacker News about using Claude and LLMs for full code generation in production environments, including challenges with debugging.
Claude Code plugin that aggregates and scores content from 7 social media platforms against user interests, generating HTML dashboards.
Case study building a shared sandbox workspace for two OpenAI agents collaborating via Discord and remote VPS with controlled communication.
Technical guide on multi-agent orchestration using ACPX protocol instead of PTY scraping for communication between coding agents.
OpenAI announces public bug bounty program for identifying safety and abuse risks in AI products.
Technical overview of how Cursor trained Composer 2 using pretraining, RL, and realistic coding benchmarks.
Consensus Code project implementing AI agent coordination through libertarian socialist principles for software development.
Tessera is an open-source framework running 32 OWASP AI security tests against GPT-4o, Claude, Gemini, Llama 3, and other models via CLI.
Bleep is an on-premise AI security proxy that scans text and images for secrets before reaching ChatGPT, supporting agents and custom endpoints.
Llamacpp adds unified system RAM offloading support on Linux for efficient on-device AI inference.
Security analysis of LiteLLM supply chain attack using .pth files for arbitrary code execution during pip install.
Hacker News discussion about efficient token usage when using Claude Code for development tasks.
GitHub CLI can attach images to PRs using undocumented endpoints; useful for AI agents automating PR workflows.
Analysis of conceptual and linguistic challenges in evaluating LLMs as novel systems unlike traditional machines or minds.
EvidionAI is an open-source multi-agent research system using LangGraph with supervisor orchestration, validation loops, and sandboxed code execution.
MiniStack: open-source drop-in replacement for LocalStack, providing free local AWS API emulation for development and CI/CD.
Knit runtime converts spoken/visual feedback on live software into structured change requests for coding agents via local-first processing.
PalettePoint: AI color palette generator from text prompts or images with accessibility contrast data and persistent conversation refinement.
Origin: Git blame tool for AI agents tracking which AI model/agent wrote each code line, with prompt and cost logging. Open source CLI.
Discussion on tooling improvements for coding agents, exploring tree-sitter integration to reduce token usage and improve output quality.
Grafos V2: AI agent that automates code-to-cloud-infrastructure deployment for teams without dedicated DevOps engineers.
Kite-MCP: MCP server enabling natural conversation with AI assistants to trade Indian stocks on Zerodha without code.
Pipguard is a zero-dependency Python CLI that scans packages for supply-chain malware before installation.
ETL-D: MCP server for deterministic data parsing enabling AI agents to process CSV, bank statements, EDI files with structured output.
Captain Claw: Personal AI workspace with web research, document processing, browser automation, multi-agent orchestration and 6-layer memory system.
Harvard physics professor supervises Claude AI through theoretical physics research calculation from start to finish without manual intervention.
Security scanner for detecting vulnerabilities in AI-generated code. Integrates with GitHub Actions and pre-commit hooks for automated scanning.
RFC proposal for standardized AI agent identity using did:phanteum:icp: decentralized identifier scheme.
Security vulnerability discovered in litellm 1.82.8 PyPI package involving supply chain attack. Critical for LLM application users.
TurboQuant introduces theoretically grounded quantization algorithms for compressing large language models and vector search engines with extreme efficiency gains.
Nimbus captures user workflow patterns via screen observation and structures them for computer-use AI agents via MCP protocol, enabling agents to learn internal tool interactions.
Lightweight LLM provider routing and message translation library. 2,300 LOC with minimal dependencies. Streamlined alternative to litellm.