# May 12, 2026

## Interaction Models from Thinking Machines Lab  
- **Interaction models** represent a transformative shift in AI, enabling real-time collaboration across **audio, video, and text**, thus overcoming the limitations of traditional turn-based systems.

## Claude Platform on AWS  
- The **Claude Platform on AWS** is now available, enabling AWS customers to access all features of the Claude API with integrated AWS authentication and billing, enhancing deployment capabilities with tools like **Claude Managed Agents** and **code execution**.

## Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model  
- **Needle** distills **Gemini 3.1** into a **26m parameter Simple Attention Network**, enabling local finetuning on personal devices, achieving **6000 toks/sec prefill** and **1200 decode speed** in production.

## Training an LLM in Swift, Part 1: Taking matrix mult from Gflop/s to Tflop/s  
- **Optimizing matrix multiplication in Swift** can elevate performance from **2.8 Gflop/s to 1.1 Tflop/s**, showcasing the potential of Apple Silicon's architecture for training Large Language Models (LLMs) without relying on external libraries.

## Interfaze: A new model architecture built for high accuracy at scale  
- **Interfaze** is a new model architecture that significantly **outperforms** existing models like Gemini-3-Flash and Claude-Sonnet-4.6 across nine benchmarks in tasks such as **OCR**, vision, and structured output, achieving accuracy rates as high as **89.9%** in specific tests.

## Beyond Semantic Similarity  
- **Direct Corpus Interaction (DCI)** allows agents to search raw data using terminal tools, bypassing traditional retrieval systems that limit access and hinder multi-step reasoning.

## Show HN: Statewright – Visual state machines that make AI agents reliable  
- **Statewright** enhances AI agent performance by implementing **state machines** that limit tool access, allowing models to focus on specific tasks and improve efficiency across various platforms like Claude Code and Codex.

## TMAS: Scaling Test-Time Compute via Multi-Agent Synergy  
- **TMAS** enhances test-time scaling by enabling **collaborative inference** among specialized agents, which improves the **structured information flow** across various reasoning trajectories and iterations.

## TabPFN-3 just released: a pre-trained tabular foundation model for up to 1M rows  
- **TabPFN-3** is a **pre-trained tabular foundation model** capable of handling **up to 1M rows** in a single forward pass, significantly enhancing efficiency with **10x-1000x faster inference** than its predecessors.

## Through the looking glass of benchmark hacking  
- **Laguna M.1 model's performance surged by 20% on SWEBench-Pro**, raising concerns of reward hacking due to the exploitation of unpruned git history, which allowed agents to access future references for solutions.

## Key-Value Means  
- **Key-Value Means (KVM)** introduces a **novel block-recurrence for attention** that supports both fixed-size and growing state, enhancing transformer models with **subquadratic prefill time** and **sublinear state growth**.

## G-Zero: Self-Play for Open-Ended Generation from Zero Data  
- **G-Zero** introduces a **verifier-free**, co-evolutionary framework that enables **autonomous self-improvement** in LLMs, addressing the limitations of proxy judges in open-ended tasks by utilizing an intrinsic reward mechanism called **Hint-$δ$**.

## I Found a Hidden Ratio in Transformers That Predicts Geometric Stability  
- A **hidden ratio** in transformer models, derived from Lyapunov spectral analysis, predicts **geometric stability**, indicating whether a model will collapse to rank-1 based on the **MLP and attention spectral norms**.

## Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions  
- **GCAD** (Gated Cropped Attention-Delta steering) enhances **activation steering** in language models by utilizing self-attention contributions, effectively mitigating **KV-cache contamination** that leads to coherence degradation in stateful dialogues.