Briefing

Variational Autoencoder Layer

Variational Autoencoders (VAEs) belong to a family of autoencoders with probabilistic properties, making them well suited for generating data by producing a smo…

Explainable Control Framework (XCF) based on Fuzzy Model-Agnostic Explanation and LLM Agent-Supported Interface

Increasing demand for precise and reliable control in complex scenarios has led to the development of increasingly sophisticated controllers, including data-dri…

Helpful or Harmful? Evaluating LLM-Assisted Vulnerability Patching via a Human Study

Software vulnerability remediation is a cognitively demanding task that requires specialized security expertise often lacking in general developers. In the mean…

Tensorion: A Tensor-Aware Generalization of the Muon Optimizer

Common first-order optimizers, such as Adam, implicitly treat each parameter block as an unstructured vector, which disregards the multilinear weight structure …

Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound

Multi-agent goal recognition asks an observer to jointly infer which agents act together and what each team is trying to achieve, so the hypothesis space grows …

The Tatoxa System for Text Detoxification in Low-Resource Languages: The Case of Tatar

Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring the safety of online communities and prote…

Can Trustless Agents Be Trusted? An Empirical Study of the ERC-8004 Decentralized AI Agent Ecosystem

As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges: how can an agent assess whether an unknow…

How Robust is OCR-Reasoning? Evaluating OCR-Reasoning Robustness of Vision-Language Models under Visual Perturbations

Vision-language models (VLMs) have achieved strong performance on OCR-based benchmarks and increasingly focused on text-rich understanding, but their robustness…

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining

Midway through an ordinary pretraining run, a small language model learns the pronoun-gender rule: cued with a girl's name ("Sue cried because"), it resolves th…

When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?

Synthetic data augmentation is widely used to mitigate class imbalance, but its theoretical effects on score-based classification remain poorly understood. This…

Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models

Standard benchmarks for multimodal large language models (MLLMs) score each item on one canonical ordering and miss whether order-irrelevant shuffling changes t…

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation

Synthesizing a novel-view video from a monocular reference video along a target camera trajectory requires both geometric consistency and motion fidelity with r…

RevengeBench: Reverse Engineering Code-Space Policies from Behavioral Experiments

For most of scientific history, researchers studying behavior could only infer hidden mechanisms from outward actions: an inverse problem that becomes more trac…

OpenAI says ChatGPT Instant now better understands what users actually want

OpenAI is updating GPT-5.5 Instant, its most-used ChatGPT model. The update targets conversation quality, with better intent recognition, improved context acros…

Claude Code v2.1.191

How KPN is building an agentic AI engine for customer care

By transforming its contact center with agentic AI, the leading Dutch telecom company is strengthening quality, improving efficiency, and building AI capabiliti…

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a…

Build a healthcare appointment agent with Amazon Nova 2 Sonic

In this post, you will learn how to build a voice agent that handles appointment reminder conversations using Amazon Nova 2 Sonic and Amazon Bedrock AgentCore. …

Huntington Bank: Redacting sensitive data from 400M+ documents with AWS

In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Indus…

Figma bets on human judgment at Config 2026 while the AI powering its canvas belongs to someone else

At Config 2026, Figma turned its canvas into a full workspace with code, animation, shaders, and AI agents. But the intelligence powering all of it is rented fr…

Snowflake CEO finds GLM-5.2 competitive with Opus 4.7 at a fraction of the cost

Zhipu AI's GLM-5.2 nearly matches Claude Opus 4.7 in a Snowflake benchmark with 103 coding tasks at one-fifth the cost per output token. But the Chinese model b…

How Loka Built a Natural, Low-Latency Voice Agent with Amazon Nova 2 Sonic

In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang …

Principles in motion

Figma’s design agent, now with custom tools and greater context

Introducing Figma Motion: Your canvas now has a timeline

Connecting Figma and Weave

Code on the Figma canvas

Config 2026: New materials, new tools and a more expressive canvas

Changes to model selection for Free and Student plans

Copilot Free and Student plans will now use Copilot auto model selection as the default and only model selection experience. Auto dynamically selects the best m…

AI-powered software development: How technology is rewriting the rules

From individual productivity hacks to full workflow and role reinvention—three McKinsey experts explain how AI is changing the creation of software and what sep…