3/23/2026
Token Optimisation with LLMs
Discussion of token optimization strategies for LLMs beyond prompt caching, including handling XML inputs.
3/23/2026
VistAI–Save and Search AI Responses from ChatGPT, Claude, Gemini, and Perplexity
Chrome extension saving and searching responses from ChatGPT, Claude, Gemini, Perplexity locally. LLM application and developer tool.
3/23/2026
LLMs turn an autistic communication style into a neurotypical conversation
Brief note that LLMs convert autistic communication styles to neurotypical patterns. Limited detail, speculative observation on LLM behavior.
3/23/2026
Show HN: I made a AI Code Review tool that knows how your company works
MatrixReview is an AI code review tool that reads company documentation and enforces architectural standards, security policies, and style guides on pull requests automatically.
3/23/2026
Stop spending money on AI credits Translate your content using self-hosted LLMs
Gato AI Translations plugin v17.1 enables self-hosted LLM translation for WordPress via Ollama, supporting ChatGPT/Claude API formats without cloud API costs.
3/23/2026
Emdash: Open-Source Agentic IDE for Orchestrating Multiple Coding Agents
Emdash: open-source IDE orchestrating multiple AI coding agents with Git worktree isolation and issue integration. AI agents, developer tools.
3/23/2026
Neurvance, Pre-cleaned datasets for LLM fine-tuning, free to download
Neurvance: pre-cleaned datasets for LLM fine-tuning, addressing 73% of time spent on data prep. Developer resource for ML applications.
3/23/2026
Show HN: AI Prompts for Data Professionals
Curated prompt library for data professionals organized by role and category. LLM application for data/analytics workflows.
3/23/2026
Prompt to tape out: Autonomous AI agent builds 1.5 GHz RISC-V CPU
Autonomous AI agent designed and built a 1.5 GHz RISC-V CPU from natural language prompt to tape-out.
3/23/2026
Scan for Vulnerabilities with GitHub Security Lab
GitHub Security Lab Taskflow Agent uses AI to identify authentication bypasses, IDORs, and token leaks in open source projects.
3/23/2026
A vetted map of the agentic AI stack (2026)
Reference guide mapping components and tools of the agentic AI stack for 2026.
3/23/2026
Show HN: Agent Kernel – Three Markdown files that make any AI agent stateful
Agent Kernel: lightweight framework using three markdown files to add stateful memory and persistence to AI agents without database.
3/23/2026
I have solved the identity, trust, and memory hurdles with AI Agents
01 Protocol enables persistent, portable identity and memory for AI agents across platforms using cryptographic verification.
3/23/2026
Why (lossy) self-improvement is real but it doesn't lead to fast takeoff
Analysis of recursive self-improvement and fast takeoff in AI, discussing industry consolidation and impact on research jobs.
3/23/2026
The Generative AI Policy Landscape in Open Source
Overview of generative AI policies and licensing approaches across open source projects.
3/23/2026
Show HN: AddFox – Build Better Browser Extensions for Developers and AI
AddFox: developer tool for building browser extensions faster using Rsbuild with hot reload and multi-browser support.
3/23/2026
You've been building a cache system for human decisions. You just didn't know it
Conceptual essay on decision caching systems using Claude Code, from prompts through agent teams. LLM application architecture patterns.
3/23/2026
Kingsight – 6 AI agents that teach before letting you code
Kingsight platform uses six AI agents to teach developers before executing code, improving understanding of agent-generated solutions.
3/23/2026
Show HN: Fixy – Real-time group chat with humans and AI agents (GPT, Claude,..)
Fixy: real-time chat application enabling group conversations between humans and multiple AI agents (GPT, Claude).
3/23/2026
Agents kept getting stuck searching for Solar icons; I built a CLI to solve this
CLI tool for searching Solar icon library, built for AI agents. Developer tool with agent-specific design.
3/23/2026
Introducing AI chunking to semchunk
Semchunk adds AI-powered semantic chunking mode, achieving 6-15% improvement over baseline methods on RAG tasks.
3/23/2026
Show HN: I built a census for AI agents – first record is a robot from 1890
Self-declaration registry platform for AI agents. Allows agents to submit records via API with cryptographic seals.
3/23/2026
Show HN: Claudebox – Your Claude Subscription as Personal API
Claudebox wraps Claude subscription as OpenAI-compatible API, runs Code in sandboxed Docker enabling agent capabilities. LLM application with developer tool focus.
3/23/2026
Joy – Trust Network for AI Agents (7k agents registered)
Joy: trust network platform for AI agents enabling discovery, reputation building, and verification of agent capabilities for autonomous delegation.
3/23/2026
Show HN: Mamba SSM in Rust – training and inference with custom CUDA kernels
Rust implementation of Mamba SSM with custom CUDA kernels for training and inference. Original ML research implementation with GPU optimization.
3/23/2026
Who is that actor on the screen? Emacs/LLM/Fun Redux
Personal experiment using ChatGPT and Gemini APIs to identify actors in movies via Emacs integration. Informal blog post about LLM capabilities and limitations.
3/23/2026
Voice AI in 2026 – An intro to building voice agents today
Guide to building voice AI agents covering abstractions, networks, models, and evaluations. Real-world examples include debt collection, emergency services, and language-specific agents.
3/23/2026
Diffusion Large Language Models Papers
Curated collection of research papers on diffusion-based language models. Links to papers from 2015-2023.
3/23/2026
I built a local-only eval runner for AI agents (quickbench)
Open-source local evaluation framework for AI agents with cryptographic verification. Zero cloud dependencies, includes benchmarking metrics for accuracy, latency, and fairness.
3/23/2026
Using LLMs to fix GitHub's unreliable topic tagging
Using LLMs to improve GitHub's topic tagging system for open-source projects. Limited detail provided.
3/23/2026
Show HN: Smriti – Like Git, but for reasoning state
Version control system for LLM/agentic reasoning state, enabling tracking and recovery of reasoning progress across multiple models and sessions.
3/23/2026
Inspect – Semantic code review. Entity graphs + LLMs
LLM-powered code review tool using entity graphs for risk scoring, identifying critical changes in diffs with 95% recall and 5-67ms latency.
3/23/2026
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Data annotation pipeline using LLMs with critical thinking as both annotators and judges to improve supervised learning label quality.
3/23/2026
Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter
Efficient RL training method for reasoning LLMs using adaptive drafting to handle long-tail response generation distribution and reduce computation time.
3/23/2026
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
Cross-domain offline reinforcement learning method using dynamics and value alignment for filtering datasets to improve agent training in target environments.
3/23/2026
ReLaX: Reasoning with Latent Exploration for Large Reasoning Models
ReLaX: approach addressing entropy collapse in large reasoning models by promoting latent-level exploration during reinforcement learning with verifiable rewards.
3/23/2026
Bridging Training and Merging Through Momentum-Aware Optimization
Unified framework maintaining factorized momentum states across neural network training and model merging to reduce redundant computation.
3/23/2026
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Self-Distilled Reasoner: on-policy self-distillation approach for LLM reasoning that addresses distribution mismatch without teacher models.
3/23/2026
Reinforcement Unlearning via Group Relative Policy Optimization
Reinforcement Unlearning via GRPO: technique for removing sensitive data from LLMs without retraining, compliant with GDPR and EU AI Act.
3/23/2026
A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
Sheaf-theoretic and topological perspective on signal diffusion and attention mechanisms in graph neural networks and geometric deep learning.
3/23/2026
How Understanding Forecast Uncertainty Resolves the Explainability Problem in Machine Learning Models
Analysis of forecast uncertainty in machine learning explainability, addressing instability of LIME and SHAP near decision boundaries.
3/23/2026
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
StealthRL: RL framework using group relative policy optimization to test robustness of AI-text detectors against adversarial paraphrasing attacks.
3/23/2026
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
Theoretical analysis of iterative self-improvement in LLMs using reward-verified outputs with easy-to-hard curriculum learning.
3/23/2026
A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
Method for comparing clustering algorithms with overlapping clusters and outliers in unsupervised learning evaluation.
3/23/2026
Spectral Convolution on Orbifolds for Geometric Deep Learning
Spectral convolution techniques for geometric deep learning on non-Euclidean data structures like graphs and manifolds.
3/23/2026
Federated Learning Playground
Interactive browser-based platform teaching federated learning concepts with real-time visualization of heterogeneous data and aggregation algorithms.
3/23/2026
mlx-vis: GPU-Accelerated Dimensionality Reduction and Visualization on Apple Silicon
mlx-vis: GPU-accelerated dimensionality reduction library for Apple Silicon implementing 8 methods with hardware-accelerated rendering.
3/23/2026
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
FEAT: linear-complexity foundation model for structured data handling heterogeneous datasets with improved attention mechanisms for large-scale applications.
3/23/2026
On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings
Study of cone effect and modality gap in medical vision-language models, analyzing embedding concentration and cross-modal separation in supervised learning.
3/23/2026
AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
AcceRL: distributed asynchronous RL framework for Vision-Language-Action models with integrated trainable world models, eliminating synchronization barriers.