Show HN: Studis – Turn product photos into social media ads with AI
Studis tool uses Gemini Flash and Claude to generate social media ad copy and visuals from product photos. Built with Laravel, Vue, and Pusher.
Studis tool uses Gemini Flash and Claude to generate social media ad copy and visuals from product photos. Built with Laravel, Vue, and Pusher.
Conceptual framework applying OAuth security principles to AI agent harnesses, treating agents as principals requiring proper authorization models.
Pre-registered robustness study of Meta's V-JEPA 2.1 vision model across four sizes, with production robotics deployment findings and failure mode analysis.
PandaFlow: open-source visual builder for constructing multi-agent AI systems with graphical interface.
Discussion on personalized LLMs tailored to individual users being more useful than general-purpose models.
Local LLM inference server for Apple Silicon Macs with continuous batching, KV cache management, and menu bar control.
Local control plane orchestrating multiple coding-agent CLIs (Codex, OpenCode, etc.) via tmux with task logging and unified command interface.
Open Agent Memory Protocol 1.2 release with 1.3 draft adding governed memory with scope, sensitivity controls, and audit trails.
Deterministic completion verification layer for AI coding agents ensuring tasks meet explicit criteria via local, repeatable checks.
Lowdefy v5.3 enables AI agents in YAML config that call existing API endpoints as tools with streaming chat.
Cotypist: AI autocomplete tool for macOS with word prediction across all applications.
Enterprise adoption insights from Philips, BBVA, Jetbrains, Scania. Focus on building trust and organizational conditions for AI scaling.
Hollow-agentOS: multi-agent system with three local LLMs running autonomously on consumer GPU, self-deploying tools without human input.
Discussion on using AGENTS.md and Claude.md files to discourage AI-generated code contributions.
Timebook: time tracking and invoicing tool designed to be used by AI agents.
Open-source models for accurate text rendering and image editing in AI-generated images, addressing longstanding text generation quality issues.
Profile of academics who refuse to use generative AI, citing concerns beyond job displacement.
Meta/Stanford/Harvard released ProgramBench: benchmark for evaluating LLMs on code repository tasks using synthetic test generation and agent evaluation.
GitHub Copilot deprecating Grok Code Fast 1 model on May 15th. Users must migrate to supported models.
AST-based optimization framework for generating specialized code through partial evaluation.
Workspace manager enabling parallel development with multiple AI agents in isolated Git worktrees.
Open-source multi-agent system using shared markdown wiki to maintain context and prevent agent drift.
Research exploring how language models represent semantic meaning through internal lattice vibrations analogy.
Technique for constraining LLM outputs to valid categories in taxonomy-based classification tasks.
MIT-licensed OpenTelemetry observability platform combining logs, traces, metrics, and AI tracing.
Educational Rust/Python package implementing NumPy-like operations to teach vectorization and SIMD concepts.
Discussion of evolved antennas created via evolutionary algorithms and parallels to LLM-generated code and potential risks.
Claude Code skill that generates a song from session transcripts using Gemini and Google Lyria, then plays it to speakers.
Reference guide covering patterns and techniques for developers using AI coding assistants like Copilot and Claude Code.
Definitional analysis of AI agents addressing vagueness in what constitutes an agent and resulting security implications.
Predictions on agentic coding future: multiplayer collaboration, better UX for AI artifacts, integrated human-AI tools for task tracking.
THE_ROOM: Local-first Electron app for multi-model AI agent collaboration with code editing capabilities. Windows alpha.
OpenAI launches OpenAI Deployment Company to help enterprises build and deploy AI systems, acquiring Tomoro for Forward Deployed Engineers.
Self-hosted GitHub-compatible API server (agent-git-service) for agents and automation, supporting REST v3, GraphQL v4, and Git Smart HTTP.
Empirical study investigating structured prompting effects on LLM reasoning using Knowledge Innovation System protocol across ChatGPT, Claude, and Gemini.
Open-source omnichannel chatbot platform for agentic workflows supporting APIs, CLI, and MCP protocols. Alternative to ManyChat and similar commercial platforms.
Anecdote about GPT flagging a fine-tuning session during a hackathon and using prompts to bypass restrictions. Lacks technical depth and verification.
Theoretical research on offline reinforcement learning with general function approximation and parametric policies for large action spaces.
Neuro-symbolic framework combining invertible world models with agents for drug response prediction in precision oncology.
Analysis of attention patterns in vision-language models during multi-image reasoning, revealing unfocused attention pulses and positional bias.
Method using reinforcement learning with structured rewards to improve consistency of LLM knowledge across multiple languages.
VDCook platform for automated video dataset construction using natural language queries, retrieval, and synthesis for multimodal LLM training.
Research on credit assignment in cooperative multi-agent LLM systems, showing standard evaluation methods are flawed and proposing exact counterfactual approaches.
Theoretical analysis of log-barrier regularization enabling exploration in stochastic gradient bandit optimization with convergence guarantees.
MARL-Rad uses multi-modal multi-agent RL for radiology report generation, training agentic workflows end-to-end within deployed clinical workflow.
SlopCodeBench evaluates coding agents on iterative 36-problem benchmark with 196 checkpoints where agents extend own solutions over time.
Analysis of emotion vector organization in LLMs via valence-arousal subspace with circular geometry for emotion steering control.
Zero-shot quantization via weight-space arithmetic extracts quantization vectors from donor tasks to improve post-training quantization without receiver training data.
Analysis of Muon optimizer dynamics as spectral Wasserstein flow in mean-field regime, studying gradient normalization for deep learning.
Android Coach improves online RL agent training efficiency by processing multiple actions per state, addressing sample inefficiency in emulator-based learning.