5/28/2026
Taste Skill: An Anti-Slop Front End Framework for AI Agents
Taste Skill is a frontend framework for AI agents that improves UI quality beyond boilerplate. Includes image generation skills for design implementation.
5/28/2026
AI orientation before retrieval and action
AIluminode is a tool for AI systems to check contextual posture before retrieval and action. Content is fragmented and unclear about actual functionality.
5/28/2026
DiffusionBlocks: Training Neural Networks One Block at a Time
DiffusionBlocks proposes training neural networks block-by-block instead of end-to-end, reducing resource requirements for frontier models.
5/28/2026
Ax language: Compact source, build for agents
Programming language designed for extreme code compression and AI agent inspection. Emphasizes compact semantics for human and agent readability.
5/28/2026
Train 1T parameter LLM with 8 GPUs?
Orbit project enables training 1 trillion parameter LLMs on 8 GPUs. Link-only submission with minimal detail.
5/28/2026
Show HN: AI agents for UK GDAD PCF roles and their skills
Open source AI agents implementing UK Government Digital and Data Profession Capability Framework roles and skills as markdown specifications.
5/28/2026
The first framework that can post train DeepSeek V4-pro on a single-node?
Orbit framework enables reinforcement learning post-training of trillion-scale LLMs like DeepSeek V4 on single nodes. Opensourced project.
5/28/2026
Former Google and Apple Researchers Launch a Startup to Build AI's Missing Feed
Trajectory startup by former Google/Apple/OpenAI researchers builds platform for continuous AI improvement through real-world user interaction data.
5/28/2026
Optimizing Our ML Feature Store: Cutting Compute Costs
Blog post on optimizing ML feature store infrastructure, mentions 55% compute cost reduction. Redirect page with minimal content.
5/28/2026
Show HN: BetterCallClaude – Open Source AI Legal Agents for Italy
Open source AI legal agents for Italian law covering 20 regions. Specialized agents for contract review, legal research, document drafting. Italian privacy-compliant.
5/28/2026
Ask HN: How Much a Difference Does an LLM's Corpus Make?
Discussion on how training data composition affects LLM performance on domain-specific tasks like scientific reasoning.
5/28/2026
Clojure → YAMLScript transpiler: using LLMs for normalization, SCI for execution
Clojure to YAMLScript transpiler using LLMs for code normalization and SCI for deterministic execution. Hybrid compilation approach leveraging LLM strengths.
5/28/2026
Amdahl's law for AI agents
Analysis of multi-agent systems achieving throughput gains. Discusses patterns in autonomous coding agents, concurrent agent orchestration, and practical scaling insights.
5/28/2026
When pre-training hurts LoRA fine-tuning: a dynamical analysis via single-index models
Mathematical analysis showing excessive pre-training can slow LoRA fine-tuning optimization, studied via single-index models.
5/28/2026
EvoMAS: Evolutionary Generation of Multi-Agent Systems
EvoMAS uses evolutionary methods to automatically generate LLM-based multi-agent system architectures, addressing brittleness and generalization challenges in MAS design.
5/28/2026
Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization
Novel adaptive optimization algorithm extending Adam-style methods to matrix operations for large-scale training.
5/28/2026
Continuous Diffusion Models Can Obey Formal Syntax
Training-free guidance for continuous diffusion language models to satisfy formal syntax constraints. Enables JSON/structured output generation without retraining.
5/28/2026
Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding
Multi-domain graph pre-training with domain-specific experts for homogeneous and heterogeneous graphs. Unified approach handling mixed graph types across distribution shifts.
5/28/2026
Singular Vectors of Attention Heads Align with Features
Analysis of attention head singular vectors aligning with learned features in language models. Provides theoretical justification for mechanistic interpretability observations.
5/28/2026
Fast KV Compaction via Attention Matching
Fast KV cache compaction using attention matching. Reduces key-value cache size for long-context LLM inference while maintaining performance.
5/28/2026
A Structural Theory of Position Bias in Transformers
Structural theory explaining position bias and Lost-in-the-Middle phenomenon in Transformers. Analyzes causal attention architecture origins of token position bias.
5/28/2026
Noise Scheduling as Information-Guided Allocation in Diffusion Training
InfoNoise adaptive noise scheduling for diffusion model training. Data-adaptive allocation based on conditional entropy to optimize denoising difficulty.
5/28/2026
Conditionally Site-Independent Neural Evolution of Antibody Sequences
Neural evolution approach for antibody engineering using phylogenetic models. Leverages affinity maturation data to model evolutionary fitness landscape.
5/28/2026
Sparse Scheduled Diffusion Guidance for Inverse Problems
Sparse scheduled diffusion guidance for Bayesian inverse problems. Reduces computational cost by applying guidance selectively through reverse trajectory.
5/28/2026
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
RLVR method addressing calibration degradation in LLM reasoning. Decouples confidence from reasoning to prevent overconfidence on incorrect answers.
5/28/2026
Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data
Self-supervised learning for wearable accelerometer data using biological structure tokenization. Improves human activity recognition with limited labeled data.
5/28/2026
Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction
TreeKD method distilling tree-based model knowledge into LLMs for molecular property prediction. Improves LLM performance on drug discovery tasks.
5/28/2026
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
Hybrid-Order Split Federated Learning reducing memory usage on edge devices. Combines zeroth-order optimization with split learning for faster convergence.
5/28/2026
Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting
Transformer variants for financial time-series forecasting using knowledge distillation. Addresses non-stationary data and regime shifts in financial markets.
5/28/2026
From Causal Discovery to Dynamic Causal Inference in Neural Time Series
Framework for discovering and inferring dynamic causal relationships in time-series neural networks without requiring known causal structure a priori.
5/28/2026
Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima
Research on LLM pretraining convergence: investigating whether models converge to common minima across data sources to improve downstream generalization.
5/28/2026
SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics
SaFeR-Steer framework for multi-turn safety alignment in multimodal LLMs using synthetic data bootstrapping and feedback dynamics to address long-context safety degradation.
5/28/2026
Popular LLM software hit by critical vulnerability in Python package Starlette
Security vulnerability discovered in Starlette Python package used by LLM software.
5/28/2026
Why I Wrote Safescript
Safescript language design motivation: preventing supply chain attacks and hidden logic in AI-generated code via static analysis.
5/28/2026
Your Future job will be to keep AI on task
Opinion piece on future job roles managing and coordinating AI systems.
5/28/2026
AIPass – Persistent agent workspace with identity, memory, and email
AIPass platform for persistent multi-agent workspaces with shared memory, context, and collaboration between agents.
5/28/2026
Teleport-env – <500ms stateful rollbacks for AI agents via CRIU
Teleport-env: <500ms OS-level stateful rollback sandbox for autonomous coding agents using CRIU snapshots for MCTS and RL.
5/28/2026
Meta to start testing AI subscription services
Meta testing paid subscriptions for AI features on Meta AI app and website.
5/28/2026
Language Modeling Materializes a World Model of Protein Biology [pdf]
Research paper on protein biology language models developing implicit world models for biological prediction and understanding.
5/28/2026
Illinois Lawmakers Just Passed America's Strongest AI Safety Bill
Illinois legislature passes SB 315 requiring third-party safety audits of frontier AI labs.
5/28/2026
The Authorization Paradox: Who Has the Keys to Your AI? [video]
Video on access control and authorization mechanisms for AI systems.
5/27/2026
Building the Future of Accessible Tech: Inside Uvilox AI
Uvilox AI offers real-time sign language interpretation with <80ms latency using vision AI models.
5/27/2026
AgingBench: AI Agents Age Too
AgingBench research on long-context memory degradation in AI agents. Studies information loss and retrieval problems over time.
5/27/2026
New method for testing AI using real work-flows
LLM INQUISITOR: methodology for evaluating AI systems in real workflows, not benchmarks. Tests stability and reliability.
5/27/2026
AGH is the First open-network protocol for AI Agents
AGH: open network protocol for AI agents. Enables durable CLI sessions with memory, tools, autonomy on NATS-based channels.
5/27/2026
What Emerges When You Don't Break Sustained Coherent Human-AI Interaction
Paper formalizing emergent behavioral patterns in sustained human-AI interaction. Introduces 'third vector' concept in response space.
5/27/2026
I built a free cross-AI prompt manager (Chrome ext)
Chrome extension providing unified prompt management interface across multiple AI platforms.
5/27/2026
Multi-turn jailbreak rates across 15 frontier models (Grok 88%, Claude 12%)
Empirical study measuring jailbreak vulnerability rates across 15 frontier LLMs including Grok (88%) and Claude (12%).
5/27/2026
AI Infra Is Nothing Like the "Classic Cloud Infra"
Analysis of differences between AI infrastructure requirements and traditional cloud infrastructure design.
5/27/2026
Argonne flexes spare supercompute to build private AI inference service
Argonne National Lab uses supercomputing resources to build private AI inference service.