Show HN: Interactive 3D and 2D Visualization of GPT-2
Interactive 3D and 2D visualization of GPT-2 internal activations and attention scores during forward passes using Three.js and HTML/CSS/JS.
Interactive 3D and 2D visualization of GPT-2 internal activations and attention scores during forward passes using Three.js and HTML/CSS/JS.
Edge-deployed AI agent replacing static website, split across Netlify edge, browser, and voice components to answer customer service questions autonomously.
PearlOS: browser-based desktop environment where AI is the primary interface rather than text input, focused on accessibility and intuitive interaction.
Yansu: AI agent that learns user workflows across desktop, Slack, Teams and proactively builds bespoke applications without explicit prompting.
Task-specific LLM runtime compressed onto ESP32-C3 microcontroller for offline, deterministic expert systems in edge deployments without cloud dependency.
Open-source Perplexity-style search pipeline for local LLMs with parallel search, content extraction, reranking, and inline citations without API costs.
CLI tool enabling LLM prompts as executable programs with argument parsing, piping, and composition. Built over 4+ months with full UX features.
Chrome extension detecting API keys and sensitive data before sharing with AI tools, operating entirely client-side with no data transmission.
Budibase Agents Beta: open-source model-agnostic AI agents for enterprise workflows supporting any OpenAI-compatible LLM with data and API integration.
AgentDeals: structured index of 1,525 developer infrastructure pricing deals enabling AI agents to make cost-aware recommendations across 54 categories.
P2PCLAW: decentralized peer-to-peer network enabling AI agents to discover, collaborate, and share solutions across a distributed system.
OpenAI describes monitoring methods for detecting misalignment in internal coding agents deployed at scale with real-world autonomy.
Thoughtworks analysis of context engineering techniques to improve coding agents, focusing on Claude Code and similar tools.
Guide on responsible AI usage principles for open source communities emphasizing human accountability and stewardship.
Report on autonomous agents accounting for 1 in 8 AI breaches as enterprises move to production deployments.
RubyLLM observability guide using OpenTelemetry for debugging, auditing, and tracking costs in production LLM applications.
Interactive browser-based pixel platformer game with trained RL agent opponent playable against humans.
Research on LoRA voice synthesis showing unexpected behavioral changes in generated models beyond intended voice transfer.
Hive: multi-agent system where AI agents collaborate to evolve and improve code together.
SauceLabs launches AI tool for test automation; brief industry news without technical detail.
First of multi-part series on using LLMs for vulnerability research with AI-powered fuzzing and automated harness generation.
Gorantula: open-source multi-agent research platform orchestrating concurrent web crawlers for fact synthesis and knowledge visualization.
GitHub code review application powered by AI; minimal content provided.
Research on applying Apple's 'LLM in a Flash' technique to run Qwen 397B model locally.
Supre: prompt optimization tool for Suno AI's music generation style field, adapts to different model versions.
Paper: web-based design canvas connecting teams, agents, code, and data with bidirectional sync between design and codebase.
AI Coding Factory: autonomous agents that pull tasks from issue trackers, implement code, and push commits continuously.
Protocol for maintaining session integrity in AI coding assistants. Title only, insufficient detail provided.
Opinion on AI democratizing coding and reducing software DRM effectiveness; discusses $20 subscription model accessibility.
Anthropic survey of 81,000 Claude users on AI aspirations, fears, and use cases. Qualitative user research on AI applications.
Analysis of how LLMs use rhetorical manipulation tactics; challenges 'human-in-the-loop' validation approaches for risk mitigation.
GitGuardian 2024 report: 23.77M secrets leaked by AI systems. Security analysis of AI-related data exposure risks.
Claude skill enforcing design system consistency on AI-generated UI code. Open source tool for Next.js/Tailwind/Shadcn.
Meta security incident: autonomous AI agent bypassed controls, exposing sensitive data. First documented case of rogue AI agent failure mode.
Meta announces $600B US infrastructure investment through 2028, primarily for AI data centers. Corporate announcement, light on specifics.
Solo developer releases three deployable open-source systems via Docker/Helm/Kubernetes. No technical details on functionality.
Quantum transfer learning architecture combining pretrained classical models with variational quantum classifiers for image classification on noisy hardware.
TorchNWP: Compiler library tool for coupling AI models with traditional numerical models, enabling Fortran-Python interoperability for weather prediction.
Reward prediction model for robot manipulation using vision foundation models to infer dense task rewards from camera images without privileged state.
Evaluation metric for generative models assessing whether synthetic data preserves multivariate dependence structures for downstream inference tasks.
DesertFormer: Transformer-based semantic segmentation pipeline for off-road desert terrain classification in autonomous navigation systems.
Multi-fidelity surrogate modeling framework for airfoil optimization combining low-fidelity simulations with Gaussian processes and genetic algorithms.
Ensemble self-training approach for unsupervised neural machine translation using multiple models with auxiliary languages and token-level ensemble decoding.
Auto-Prov: End-to-end framework using LLMs to construct provenance graphs from system logs for anomaly detection and threat interpretation.
Framework for locating knowledge in mixture-of-experts LLMs by analyzing cross-lingual inconsistencies, advancing interpretability of expert routing.
Self-supervised learning method for medical image segmentation using contrastive learning and counterfactual generation to handle imperfect AI labels.
Multi-agent routing architecture for AI reasoning systems with dynamic execution graphs, addressing cascade failure propagation in agent delegation networks.
Safe reinforcement learning framework for robots using temporal logic constraints to enforce safety and operational requirements during training.
TAP-GPT uses pretrained LLMs for few-shot Alzheimer's disease prediction from multimodal biomedical tabular data.
OPERA framework for data pruning to improve efficiency and effectiveness of dense retriever finetuning.