The following article originally appeared on Sena Evren’s Legal Layer newsletter and is being reposted here with the author’s permission. TL; DR Agentic coding tools like Claude Code, Cursor, and Codex generate code that may be uncopyrightable, owned by your employer, or contaminated by open source ...
Z.ai Launches GLM-5.2 With a Usable 1M-Token Context, Two Thinking-Effort Levels, and No Benchmarks at Launch
Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Claude Code, Cline, and OpenClaw through an Anthropic-compatible endpoint. No benchmarks shipped at launch, and MIT open w...
Can Editing 1 Neuron Fix Repetition Loops in LLMs?
arXiv:2606.13705v1 Announce Type: new
Abstract: Yes. Can it cure doom loops? Probably not.
The Gemma 4 instruction-tuned models share a reproducible failure: on long factual enumeration prompts, such as listing every episode of a TV series, the 88 IAU constellations, or the 151 original Pokemon, ...
Efficient On-Device Diffusion LLM Inference with Mobile NPU
arXiv:2606.13740v1 Announce Type: new
Abstract: Diffusion large language models (dLLMs) accelerate generation by denoising multiple tokens in parallel, making them attractive for latency-sensitive mobile inference. However, repeated denoising introduces substantial computation on smartphones. Mobil...
arXiv:2606.13741v1 Announce Type: new
Abstract: This paper presents the design, development, and implementation of a specialized forecast-then-optimize algorithmic pricing tool for sales campaigns in fashion e-commerce. Sales events present unique challenges for pricing including volatile demand pa...
A fully GPU-based workflow for building physics emulators of hypersonic flows
arXiv:2606.13742v1 Announce Type: new
Abstract: The ability to resolve complex physical phenomena with high fidelity and at low computational cost is central to addressing key challenges in modern engineering. A prime example lies in hypersonic flows, where the precise prediction of the full flowfi...
FedSPC: Shared Parameter Correction for Personalized Federated Learning
arXiv:2606.13748v1 Announce Type: new
Abstract: Personalized federated learning (PFL) is one of the important approaches in federated learning for addressing statistical heterogeneity while enabling client-specific adaptation. Many PFL methods split the model into shared and personalized parameters...
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem
arXiv:2606.13682v1 Announce Type: new
Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains computationally challenging as the number of jobs and machines increases. While exact methods quickly become intractable, classical dispatching rules an...
UP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems
arXiv:2606.13683v1 Announce Type: new
Abstract: To address the challenge that current dialogue policy planning methods struggle to dynamically adapt to diverse user characteristics, this paper proposes a User Portrait based Nested Rollout Policy Adaptation (UP-NRPA) online framework with Large Lang...
arXiv:2606.13707v1 Announce Type: new
Abstract: The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-agent workflows to multi-agent systems, highlighting the importance of agent orchestration for task decomposition and collaboration. How...
Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher
arXiv:2606.13710v1 Announce Type: new
Abstract: Deep research and agent evolution serve as de-facto tasks for AI agents in real-world applications toward artificial general intelligence. The former enables autonomous retrieval and integration of information in open-ended environments to tackle open...
AI Weekly Issue #503: Washington just repriced frontier AI
The US government yanked Anthropic's newest models days after launch, while state attorneys general opened formal process against OpenAI. That turns frontier capability into something investors have to discount: a model can be state-of-the-art on Monday and policy-frozen by Friday. The market still ...
Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG
Enterprise Document Intelligence [Vol.1 #5quater] - The other parsers read the words on a page. A vision model also reads the pictures
The post Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG appeared first on Towards Data Science.
GPU Time-Slicing for Concurrent LLM Agents on Kubernetes
A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads.
The post GPU Time-Slicing for Concurrent LLM Agents on Kubernetes appeared first on Towards Data Science.
Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi
Databricks has open-sourced Omnigent, a meta-harness that sits above coding agents like Claude Code, Codex, and Pi. It adds composition, contextual policies, and live session sharing under one interface, on terminal, web, desktop, and mobile. The Apache 2.0 project is in alpha.
The post Databricks O...
Larger Context Windows Don’t Fix RAG — So I Built a System That Does
Increasing context size in RAG systems doesn’t improve accuracy for aggregation tasks—it makes errors harder to detect. In this article, I benchmark retrieval-based pipelines against a deterministic full-scan engine across 100,000 rows and show why computation queries must be routed away from RAG en...
Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload
Enterprise Document Intelligence [Vol.1 #5ter] - Table cells, OCR, captions, headings: cloud-grade structure, running on your own machine. No key, no per-page bill, nothing leaves the building
The post Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload appeared first on Towards Da...
Anthropic Disables Claude Fable 5 and Mythos 5 After US Government Order
shutdown followed a US government export control directive citing national security authorities. All other Anthropic models, including Opus 4.8, remain available.
The post Anthropic Disables Claude Fable 5 and Mythos 5 After US Government Order appeared first on MarkTechPost.
A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric
We build an end-to-end spatial graph learning pipeline using city2graph. We collect urban POI and street network data from OpenStreetMap, with a synthetic fallback for reliability. We engineer spatial features, construct several proximity graph families, and compare how each represents the same urba...
Anthropic’s safety warnings may have just backfired — the government has pulled the plug on its most powerful AI
Anthropic isn't hiding its frustration. "We disagree that the finding of a narrow potential jailbreak should be cause for recalling a commercial model deployed to hundreds of millions of people," the company wrote in a blog post.
Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard
We look at Gemini-SQL2, the text-to-SQL capability Google Research announced on June 12, 2026. Powered by Gemini 3.1 Pro, it posted 80.04% execution accuracy on the BIRD single-model leaderboard. We explain what the score measures, how the leaderboard stacks up, and what Google has not yet disclosed...
NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
AgentPerf from Artificial Analysis, the industry’s first agentic AI benchmark, gives developers, enterprises and infrastructure providers a clear way to compare systems for agentic AI. In the first round of published results, the NVIDIA Blackwell Ultra NVL72 platform delivers leading performance acr...
Project Ire examined a timely malware sample and determined its intent through reverse engineering—identifying LOTUSLITE characteristics even as most major EDR tools did not detect it.
The post Ire identifies another LOTUSLITE specimen appeared first on Microsoft Research.